Data Scientist Jobs

Data engineer - Snowflake Contract Hyderabad Key Responsibilities Design and develop scalable data pipelines and ETL/ELT workflows. Develop data engineering solutions using Databricks, Apache Spark, and PySpark. Build and optimize data warehouses and data models using Snowflake. Develop complex SQL queries, stored procedures, views, and data transformations. Implement data ingestion from structured and unstructured sources into Databricks/Snowflake. Work with Delta Lake, Delta Live Tables (DLT) and Databricks workflows. Perform data cleansing, transformation, validation, and quality checks. Optimize Spark jobs and Snowflake queries for performance and cost. Implement incremental data loads and CDC-based pipelines. Integrate cloud storage and services such as AWS S3 / Azure Data Lake / GCP. Work with CI/CD, Git, and deployment automation for data pipelines. Monitor pipeline performance and troubleshoot production issues. Collaborate with Data Architects, Data Scientists, BI teams, and business stakeholders.

Job Summary We are looking for a hands-on Data Scientist & Python Developer with around 5 years of experience in building, deploying, and maintaining machine learning models and data-driven applications. The role focuses on independent delivery of ML features end to end, working closely with senior data scientists, architects, and product owners. Key Responsibilities • Develop, train, and evaluate machine learning models for business and industrial use cases. • Build Python applications, REST APIs, and data pipelines to operationalize models. • Develop forecasting, anomaly detection, and predictive analytics models. • Deploy models using Docker and CI/CD; support model monitoring and retraining. • Perform data exploration, cleansing, and feature engineering on structured and time-series data. • Work with product owners and stakeholders to understand requirements and present results. • Participate in code reviews and support junior team members. Required Qualifications • Bachelor’s or Master’s Engineering degree in Computer Science, Data Science, Engineering, or related field. • 4–6 years of experience in Data Science, Machine Learning, and Python development, with at least 2 models deployed to production. Technical Skills • Programming: Python, SQL; FastAPI or Flask • ML Libraries: Scikit-learn, XGBoost, Pandas, NumPy; TensorFlow or PyTorch • Data Engineering: Spark, Airflow (Kafka, Databricks – exposure) • Cloud: Azure, AWS, or GCP (at least one, hands-on) • MLOps: Git, Docker, MLflow, CI/CD (Kubernetes – exposure) • Visualization: Power BI, Tableau, or Plotly Preferred Experience • Exposure to Industrial AI, Manufacturing, Energy, or IoT data (sensor / time-series). • Working knowledge of GenAI, LLMs, RAG, or Agentic AI frameworks. Ownership & Growth Expectations • Own ML features/modules end to end with minimal supervision. • Contribute to design discussions; follow engineering and data science best practices. • Share knowledge within the team and guide junior members. • Continuously upskill in emerging AI/ML technologies. Responsibilities vs. Competencies Matrix Responsibility Key Competencies ML Model Development Machine Learning, Statistics, Feature Engineering, Model Evaluation Python Application Development Python, REST API Development, Clean Code, Unit Testing Data Pipeline Engineering ETL/ELT, SQL, Spark, Airflow (Kafka exposure) MLOps & Deployment Docker, CI/CD, MLflow, Model Monitoring Cloud Solution Development Hands-on with Azure, AWS, or GCP services Stakeholder Engagement Communication, Requirement Understanding, Presenting Insights Team Collaboration Peer Reviews, Knowledge Sharing, Guiding Junior Members Must-Have Skills • 4–6 years of experience in Data Science and Python development • Strong Python and SQL; hands-on with Scikit-learn and TensorFlow or PyTorch • Experience deploying at least one ML model to production • Hands-on experience with one cloud platform (Azure, AWS, or GCP) • Basic data engineering skills (ETL, Spark or Airflow) • Good communication and collaboration skills Good-to-Have Skills • GenAI, LLMs, RAG, or Agentic AI exposure • Industrial AI, Manufacturing, Energy, or IoT domain knowledge • Kubernetes, Kubeflow, Databricks, Delta Lake • Predictive Maintenance or Digital Twin projects • Computer Vision or Reinforcement Learning projects Behavioral Skills • Structured problem-solving and strong analytical thinking. • Takes ownership of assigned deliverables and quality of outcomes. • Collaborates effectively in cross-functional, agile teams. • Adapts to changing priorities and learns quickly. • Focuses on delivering measurable business value. Soft Skills Analytical thinking, clear communication, teamwork, problem-solving, and eagerness to learn. Bring your analytical expertise to a team that's ready to welcome you — apply today! Rewards designed for you Our Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits—it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page. • Country-specific programs and initiatives may be available. Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric – apply today! €40 billion global revenue +9% organic growth 150 000+ employees in 100+ countries You must submit an online application to be considered for any position with us. This position will be posted until filled. Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

The Lead AI/ML Engineer is a primary driver in the design and development of state-of-the-art Artificial Intelligence solutions with a strong focus on Natural Language Processing (NLP), Transformer-based architectures, Vector Database technologies, and Retrieval-Augmented Generation (RAG). The Lead AI/ML Engineer works closely with senior data scientists, machine learning engineers, software engineers, and subject matter experts on current company technologies and forward-looking projects. They drive research, innovation, and solution implementation in the creation of next-generation AI systems. Key Responsibilities · Lead end-to-end training and fine-tuning of Large Language Models (LLMs), including both open-source (e.g., Qwen, LLaMA, Mistral) and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems. · Deep knowledge and extensive experience with Machine/Deep Learning frameworks including transformer architectures, state space models, large language models, and agentic approaches. · Architect and implement GraphRAG pipelines, including knowledge graph representation and retrieval for enhanced contextual grounding. · Design, train, and optimize semantic and dense vector embeddings for document understanding, search, and retrieval. · Develop semantic retrieval systems with advanced document segmentation and indexing strategies. · Knowledge of algorithms and techniques within a computational domain with emphasis on text processing. This keeps the JD exactly as is while making it immediately obvious that the role's primary focus is NLP, Transformers, Vector Databases, Embeddings, Retrieval, and RAG. Preferred Qualifications • Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. • 11-15+ years of experience in Data Science, Applied AI/ML, and Statistical Modeling, with a strong track record of developing, deploying, and scaling production-grade AI solutions. Deep expertise in: • Natural Language Processing (NLP) • Fundamental Machine Learning • Deep Learning • Transformer Architectures • State Space-Based Architectures • Azure ML and/or AWS • Strong Python programming, SQL, database querying, data preparation, and analysis skills • Exploratory Data Analysis (EDA) • Experience with PyTorch • LLM training and fine-tuning (e.g., GPT, LLaMA, Mistral, Qwen) • Graph-based retrieval systems (Knowledge Graphs) • Embedding models (e.g., BGE, E5, SimCSE) • Semantic Search and Vector Databases (e.g., FAISS, Weaviate, Milvus) • Model Fusion and Ensemble Techniques (Stacking, Boosting, Gating) • Optimization Algorithms (Bayesian, Particle Swarm, Genetic Algorithms) • Reinforcement Learning (e.g., RLHF, PPO, DPO, GRPO), Supervised Fine-Tuning (SFT), LoRA, QLoRA, Axolotl • Prompt Optimization Frameworks (AutoPrompt, GreaterPrompt, DSPy), GEPA Key focus areas: NLP, Transformer-Based Architectures, Vector Database Technologies, Semantic Search, Embedding Models, and Retrieval-Augmented Generation (RAG).

At VIATRIS, we see healthcare not as it is but as it should be. We act courageously and are uniquely positioned to be a source of stability in a world of evolving healthcare needs. Viatris empowers people worldwide to live healthier at every stage of life. We do so via: • Access – Providing high quality trusted medicines regardless of geography or circumstance; • Leadership – Advancing sustainable operations and innovative solutions to improve patient health; and • Partnership – Leveraging our collective expertise to connect people to products and services. Every day, we rise to the challenge to make a difference and here’s how the AI/ML Platform Engineer– Manufacturing Analytics role, will make an impact: Role Purpose Viatris is building an enterprise AI capability based on operations domain that can scale safely and deliver real operational value. The AI/ML Platform Engineer will help build and operate the technical foundation required to move AI/ML capabilities from project-based implementations into governed, observable, production-grade enterprise capabilities. This is a hands-on platform engineering role focused on the systems, patterns, environments, controls, and automation required for production AI/ML delivery. This role will not focus on building one-off AI use cases. It is focused on making AI/ML engineering repeatable, reliable, secure, and scalable across the enterprise. Key Responsibilities • As an AI/ML Platform Engineer, you will be at the heart of building, operating, and evolving the cloud-native AI/ML platform that powers data, analytics, artificial intelligence, and agentic capabilities across the organization. • You will own critical platform components end-to-end — from containerized workloads, streaming pipelines, networking, security, and CI/CD automation, through ML/API gateway and multi-provider model integration, to Model Context Protocol (MCP) tooling and Agent-to-Agent (A2A) communication patterns. • You will solve complex, operationally important engineering challenges by filtering and prioritizing inputs from a wide range of internal and external sources, drawing on an in-depth understanding of how platform sub-functions work together. • Acting as a key technical liaison across Cloud, Cybersecurity, Governance, and adjacent engineering teams, you will ensure the platform remains aligned with enterprise standards and emerging best practices. Your decisions will be guided by resource availability and organizational objectives, and you will contribute to defining team responsibilities, engineering standards, and platform governance practices that raise the quality bar across closely related teams. • You will work closely with AI/ML engineers and Data scientists to develop, deploy, and monitor machine-learning models and AI services at production scale, working with a pragmatic, reliability-first mindset that directly shapes the technical direction of a platform driving meaningful business outcomes. Educational Qualification • 5 or more years of relevant industry experience in software, cloud, or platform engineering, including large language model operations (MLOps) in a production environment. • Degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience. Experience Required • AI/ML, MLOps & Agentic Platforms • Hands-on experience with ML/API gateway technologies such as LiteLLM or comparable solutions, and multi-provider integration across major cloud AI platforms including Azure OpenAI, Azure AI Foundry. • Experience deploying, scaling, and monitoring AI/ML workloads and model-serving APIs, collaborating effectively with AI/ML engineers and data scientists to bring models into production. • Practical experience with MCP (Model Context Protocol) concepts — tools, resources, prompts, and server lifecycle management — and familiarity with Agent-to-Agent (A2A) communication patterns such as agent discovery and task delegation. • Comfortable working with agentic AI frameworks (such as LangGraph, LlamaIndex or comparable technologies) to support the deployment and operation of agent workloads. • Familiarity with observability and monitoring tools used in AI/ML environments, such as CloudWatch, Prometheus, Grafana, or LLM-specific evaluation tooling. • Engineering & Automation • Proficiency developing production-grade backend services in Python using asynchronous programming frameworks; experience with Rust would be advantageous. • Experience building and maintaining CI/CD pipelines and infrastructure automation — containerisation with Docker, pipeline automation with Azure DevOps or similar tooling — with disciplined version-control practices in collaborative environments. • Ability to perform performance testing and troubleshooting for APIs and platform services, with a focus on scalability and reliability engineering. • Exposure to agent memory or state management, Envoy Proxy, mTLS, or API security hardening. • Databricks platform engineering experience, including workspaces, clusters/serverless, Unity Catalog, MLflow, model serving, jobs/workflows, permissions, and cost controls. • Security & Identity • Experience with identity and access management technologies including Entra ID, JWT, OIDC, SSO, OAuth 2.0, LDAP, API keys, and related IAM methods. • Confident implementing platform security — Transport Layer Security, secrets management, access controls, and standard authentication flows. • Working knowledge of API security practices applied within established guidelines. • Leadership & Ways of Working • Demonstrated ability to lead junior team members, set team priorities, and drive platform quality — balancing hands-on technical depth with team accountability and a focus on scalable, well-governed engineering. • A collaborative team player who communicates clearly, follows established processes, and is comfortable seeking guidance when navigating new or complex challenges. • Experience of working as part of Global team involving multiple stakeholders, contract partners

Role Overview :We are seeking a highly skilled Full-Stack UI Developer to join our Enterprise AI team in Hyderabad. In this role, you will bridge the gap between complex machine learning models and intuitive user experiences, building sophisticated interfaces that allow enterprise clients to interact seamlessly with Generative AI and predictive analytics. You will collaborate closely with data scientists, backend engineers, and product stakeholders to translate intricate AI outputs into actionable business insights. By architecting scalable, high-performance web applications, you will directly influence how our customers leverage AI to drive operational efficiency and data-driven decision-making across their organizations.Key Responsibilities :- Engineer responsive and accessible user interfaces using React.js and TypeScript to ensure a seamless experience for enterprise users interacting with complex AI-driven data sets.- Develop and maintain robust server-side logic using Node.js and Python to facilitate high-speed communication between frontend components and AI microservices.- Integrate sophisticated AI and Machine Learning models into production environments by designing efficient APIs that handle large-scale data processing requirements.- Collaborate with cross-functional teams to iterate on UI/UX designs, ensuring that Generative AI outputs are presented in a clear, meaningful, and visually compelling manner.- Optimize application performance and microservices architecture to ensure low-latency responses, directly improving the reliability and scalability of our enterprise AI platform.Required Skillset :- Demonstrated expertise in building modern web applications using the full JavaScript stack, specifically React.js for frontend development and Node.js for backend services.- Proven ability to write clean, maintainable code using TypeScript, HTML5, and CSS3, with a strong focus on component-based architecture and responsive design principles.- Proficiency in Python for backend integration, with a solid understanding of how to interface with Machine Learning models and Generative AI frameworks.- Strong analytical mindset with the ability to communicate technical complexities to non-technical stakeholders, ensuring alignment on product goals and user needs.- Experience working in a distributed or remote-first environment, demonstrating the self-discipline and proactive communication skills necessary to thrive in a high-growth, collaborative team.- A degree in Computer Science, Engineering, or a related field, combined with 3 to 5 years of professional experience in full-stack development and enterprise software delivery. (ref:hirist.tech)

Company Description Conquerors Software Technologies is a product-focused technology company with a highly experienced team of product architects, managers, developers, data scientists, UI/UX specialists, and testers. The organization builds custom software products and mobile applications that address real-world business challenges for clients across the globe. Its core expertise spans custom software development, hybrid and native mobile apps, rich web applications, e-commerce solutions, CMS platforms, data science, machine learning, and digital marketing. Conquerors operates as a technical partner to clients, emphasizing transparent communication, fair pricing, and high service standards. The company is committed to integrity, knowledge-sharing, and delivering solutions that meet both technical and business goals. Role Description The Digital Marketing Intern (On-site) will support the marketing team in executing online campaigns and enhancing the company’s digital presence. This full-time role is based on-site in Hyderabad and involves assisting with search engine optimization (SEO), social media promotions, content creation, and basic performance reporting. The intern will help manage social media accounts, schedule posts, monitor engagement, and contribute ideas for improving reach and brand awareness. Day-to-day responsibilities include conducting keyword and competitor research, updating website content, coordinating with design and development teams for marketing assets, and tracking campaign metrics. The role offers hands-on experience in digital marketing within a product and services environment, with opportunities to learn from experienced professionals. Qualifications • Candidates should possess foundational digital marketing skills such as understanding of SEO, social media marketing, and online campaign management. • Candidates should possess basic content-related skills, including writing clear marketing copy, creating social media content, and adapting messages for different platforms. • Candidates should possess analytical skills, including the ability to interpret basic metrics from tools like Google Analytics, social media insights, and SEO reports. • Candidates should possess technical awareness of common digital tools, such as content management systems (e.g., WordPress), social media scheduling tools, and office productivity software. • Candidates should possess strong communication and collaboration skills, with the ability to work effectively on-site in a team environment and coordinate with cross-functional stakeholders. • Relevant coursework or training in marketing, digital media, business, or related fields is beneficial; prior internship or project experience in digital marketing is an added advantage. • Attention to detail, willingness to learn, and a proactive approach to staying updated on digital marketing trends are highly valued.

Overview Microsoft Industry Solutions Delivery (ISD) is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and delivery specialists. Together with our partners, we help Microsoft’s most strategic customers worldwide to address their specific challenges and provide comprehensive and industry-specific solutions that meet their unique needs. ISD is at the forefront of innovation, driving value across the entirety of the customers’ digital and AI transformation journey through repeatable and customized cutting-edge solutions through strategic engagements with customers across the globe powered by Microsoft Cloud and AI. Responsibilities Understanding Customer/Partner Technical Environment Gathers and propagates customer/partner insights from a broad range of stakeholders as well as the main business sponsor that will help shape and form both the definition and ongoing execution of the project. Learns to Identify and evaluate industry trends (customer industry verticals, information technology [IT] industry). Works with customer/partner stakeholders (e.g., Enterprise Architects, Security Team, Development Team, Operations Team) and business sponsor to socialize both the business solution and the project approach to determine if changes are needed to the business solution. Where the cost of change is accepted by the customer, shares this feedback with the project team and the broader account team to make the necessary adjustments using mechanisms such as updating the solution approach and projected costs in presales and change requests in delivery. Uses evidence-based approach to function as customer advocate and shares insights with Product Engineering teams and the business with a view to improving Microsoft technologies, products, services, and offerings such that they can better meet customer/partner needs. Architecture Design and Deployment Leverages a structured approach to architecture projects using existing methodologies (e.g., Waterfall, Agile, Iterative) that make use of existing reference architecture and established architectural styles and design patterns. Builds and maintains an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix to ensure the rationale for the business solution's Architecture is known and understood. Defines and documents the Architecture through an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix to communicate the value proposition of the business solution along with the project approach. Leads cost-based and technology-based discussions to explain the architecture in terms of its build, deployment, and ongoing operational use to determine customer appetite for the business solution. Uses a business-value approach that values return on investment (ROI) and customer costs-savings over technical ease of execution. Collaborates with the Project Manager to jointly drive project/technical governance of the design, build, and deployment into use of proof of concepts (POCs) and pilots. Works with customers to understand and demonstrate business value (e.g., release of revenue, cost savings) that the business solution realizes. Works with the business sponsor and customer/partner stakeholders (e.g., Business users, Enterprise Architects, Security Team, Operations Team) to gather and ratify requirements and constraints. Manages and resolves ambiguity in the requirements and constraints and documents assumptions and implications where it cannot be resolved. Maintains the requirements/constraints traceability matrix to prove that solution components have a rationale/justification for inclusion in the Architecture of the business solution. Drives development and execution of Test Plans to prove that each requirement/constraint has been implemented as expected by the customer. Where there are defects, works in close collaboration with the Project Manager and Customer to redress or accept and document the status of the test results. Collaborates with the Account Team and/or Bid Team to understand the business solution/problem. Drives agreement, based on the customer’s priorities, requirements/constraints, approach, principles, concepts, and expectations. Builds and documents a realistically costed Solution Approach with traceability of requirements, constraints, decisions, and tradeoffs that balances risk, technical credibility, and technical innovation to meet customer need, predominantly based on existing solution offerings and/or reference architecture. Jointly leads the implementation in close partnership with the Project Manager. Exercises oversight and governance and establishes quality practices and standards to realize the business solution. Uses a cohesive build methodology with an agreed release schedule and timeline so the solution can be transitioned to live operations. Ensures communication of and adherence to the pre-sales value proposition. Works with the Project Manager to highlight where assumptions have proven false. Uses change requests to modify the solution/project approach when needed. As needed, collaborates with Subject Matter Experts to receive specialized advice that can help define the solution and project approach and increase the time to value for the customer. Identifies scenarios that could slow or impede pre-sales/delivery. Orchestrates the broader Microsoft team to address technical blockers and works with account/project team to resolve non-technical issues. Reports significant problems to Microsoft management and escalates when needed. Plans a way forward in complex and ambiguous situations with an innovative approach and durable design. Delegates and uses specialist skills of others to drive technical alignment across internal/external teams. Coordinates disparate approaches into a single plan of action. Works in close collaboration with the Project Manager and Account Team to identify, categorize, and communicate business and technical risks. Defines risk mitigation activities that are foundational to the project plan. Defines risk contingency plans for invocation should the risk occur. When appropriate, oversees a broad portfolio of accounts. Manages and ensures the all-up delivery of consulting engagements, as necessary.  Practice Development Generates new and/or improvements to existing intellectual property. Identifies which ideas should be culled. Drives the re-use of intellectual property and recommends practices in both pre-sales and delivery. Participates and contributes to internal/external communities.  Trusted Advisor Develops a network of internal/external relationships to build influence in addressing problems/ blockers and facilitating additional views on the matter of interest. Stays up to date on Microsoft’s technologies, products, and services in order to communicate Microsoft's mission, strategy, and capabilities. Uses evidence-based arguments that articulate complex concepts in a simple manner to respectfully challenge Microsoft and customers/partners when a decision or course of action will not produce optimal results. Serves as the "technical conscience" to challenge the status quo and unrealistic expectations. Proactively resolves conflicts and seeks resolution to balance the overall outcome. Drives consensus where possible and leads decisions to resolve conflict when needed. Understands competitor solutions and identifies how customer business value can be driven through Microsoft's offerings. Steers the customer/partner conversations to the benefits of the solution rather than the features and functionalities. Thought Leadership Shares ideas, insight, and strategic, technical input with technical teams, internal communities across the field, and the larger virtual team across Microsoft using a thorough knowledge of specific Microsoft products and their context in the competitive landscape. Participates in external architect community events (e.g., conferences, seminars, technical meetups, Webcasts, blogs, hackathons) and shares learnings with internal team. Acts a mentor to less experienced colleagues to educate them on technical and non-technical concepts. Other Embody our culture and values Qualifications Required/Minimum Qualifications Bachelor's degree in computer science, Information Technology, Engineering, or related field AND 6+ years' experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR master's degree in computer science, Information Technology, Engineering, or related field AND 4+ years' experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR equivalent experience. Additional Or Preferred Qualifications Bachelor's degree in computer science, Information Technology, Engineering, or related field AND 8+ years' experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR master's degree in computer science, Information Technology, Engineering, or related field AND 6+ years' experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR equivalent experience. 4+ years technical sales experience. 4+ years project management experience. Technical or Professional Certification in Domain (e.g., Security). This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Selected Intern's Day-to-day Responsibilities Include Conduct feedback calls with customers. Communicate effectively in Telugu and English. Assist as a Customer Care Executive and address customer queries as required. Shift Timings: 9:30 AM to 6:30 PM No Targets About Company: Fuzen IT team comprises world-class data scientists and business consultants who specialize in the application of advanced machine learning and artificial intelligence to transform the business to get breakthrough results. Fuzen IT has client presence in Europe, the UK and the USA with local business consultants working with clients. In 2018, we started a current facility in India with specialist resources on Data Science - artificial intelligence, statistics, and machine learning with deep industry expertise, serving as a scalable delivery hub for Fuzen IT global clients. Also, providing training services for corporates and aspiring data science specialists.

Hello, We are hiring for "AI/ML Engineer-Python"-Internship opportunity for freshers for hyderabad location. Experience: Freshers Position: Internship Duration: 6 Months Location: Madhapur (Durgam Cheruvu), Hyderabad Work Mode: 5 Days Work from office Job description: We are looking for enthusiastic and motivated AI/ML Engineer Freshers/Interns with a strong foundation in Python, Machine Learning, and Artificial Intelligence. The candidate will work with experienced professionals on real-world AI/ML projects and gain hands-on experience in developing, testing, and deploying machine learning solutions. Roles & Responsibilities • Develop and implement Machine Learning and AI models using Python. • Perform data preprocessing, cleaning, transformation, and exploratory data analysis (EDA). • Work with supervised and unsupervised learning algorithms. • Build, train, test, and evaluate machine learning models. • Use Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn. • Gain exposure to Deep Learning frameworks such as TensorFlow or PyTorch. • Assist in developing AI/ML solutions for real-world business problems. • Perform model validation, performance analysis, and basic optimization. • Work with structured and unstructured datasets. • Collaborate with developers, data scientists, and business teams. • Document experiments, models, results, and technical findings. • Stay updated with emerging AI, ML, Generative AI, and LLM technologies. Required Skills • Strong programming knowledge in Python. • Basic understanding of Machine Learning concepts and algorithms. • Knowledge of Data Structures and basic algorithms. • Familiarity with NumPy, Pandas, and Scikit-learn. • Basic knowledge of SQL and databases. • Understanding of statistics and probability fundamentals. • Familiarity with Git/GitHub is an advantage. • Basic understanding of Deep Learning, NLP, or Computer Vision is preferred. • Good analytical, problem-solving, and communication skills. Eligibility • B.E./B.Tech/M.Tech/MCA/B.Sc./M.Sc. in Computer Science, IT, AI/ML, Data Science, or related fields. • 2025/2026 graduates or candidates currently pursuing relevant technical programs. • Candidates with academic projects, internships, certifications, or GitHub projects in AI/ML will be preferred. • Freshers with strong interest and hands-on knowledge in Python and AI/ML are encouraged to apply.

Hello, We are hiring for "AI/ML Engineer-Python"-Internship opportunity for freshers for hyderabad location. Experience: Freshers Position: Internship Duration: 6 Months Location: Madhapur (Durgam Cheruvu), Hyderabad Work Mode: 5 Days Work from office Job description: We are looking for enthusiastic and motivated AI/ML Engineer Freshers/Interns with a strong foundation in Python, Machine Learning, and Artificial Intelligence. The candidate will work with experienced professionals on real-world AI/ML projects and gain hands-on experience in developing, testing, and deploying machine learning solutions. Roles & Responsibilities • Develop and implement Machine Learning and AI models using Python. • Perform data preprocessing, cleaning, transformation, and exploratory data analysis (EDA). • Work with supervised and unsupervised learning algorithms. • Build, train, test, and evaluate machine learning models. • Use Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn. • Gain exposure to Deep Learning frameworks such as TensorFlow or PyTorch. • Assist in developing AI/ML solutions for real-world business problems. • Perform model validation, performance analysis, and basic optimization. • Work with structured and unstructured datasets. • Collaborate with developers, data scientists, and business teams. • Document experiments, models, results, and technical findings. • Stay updated with emerging AI, ML, Generative AI, and LLM technologies. Required Skills • Strong programming knowledge in Python. • Basic understanding of Machine Learning concepts and algorithms. • Knowledge of Data Structures and basic algorithms. • Familiarity with NumPy, Pandas, and Scikit-learn. • Basic knowledge of SQL and databases. • Understanding of statistics and probability fundamentals. • Familiarity with Git/GitHub is an advantage. • Basic understanding of Deep Learning, NLP, or Computer Vision is preferred. • Good analytical, problem-solving, and communication skills. Eligibility • B.E./B.Tech/M.Tech/MCA/B.Sc./M.Sc. in Computer Science, IT, AI/ML, Data Science, or related fields. • 2025/2026 graduates or candidates currently pursuing relevant technical programs. • Candidates with academic projects, internships, certifications, or GitHub projects in AI/ML will be preferred. • Freshers with strong interest and hands-on knowledge in Python and AI/ML are encouraged to apply.