Data Scientist Jobs

Drive quality at speed by building modern automated test frameworks and CI/CD-integrated coverage-enhanced with AI for self-healing tests, intelligent defect prediction, and automated test generation. As a Test Automation Engineer within our engineering team, you will design, implement, and maintain automated testing frameworks, while also integrating AI models and building intelligent agents to optimize our development and testing processes. Job Responsibilities • Design, develop, and maintain automated test scripts using industry-standard frameworks (e.g., Selenium, Cypress, Playwright). • Integrate automated tests into CI/CD pipelines and ensure robust test coverage across all releases. • Leverage AI/ML tools to enhance test automation, including self-healing tests, intelligent defect prediction, and test case generation. • Engineer, test, and optimize prompts for large language models (LLMs) to automate tasks and improve testing workflows. • Build and integrate agentic AI solutions—autonomous agents capable of orchestrating testing, interacting with APIs, and performing complex tasks. • Collaborate with software developers, data scientists, and AI engineers to ensure seamless integration of AI-driven solutions. • Document AI prompt designs, and agent workflows for knowledge sharing and compliance. • Analyze test results, troubleshoot issues, and provide actionable feedback to development teams. • Stay current with advancements in AI, automation, and software testing best practices. Required Skills & Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). • Proven experience in test automation using frameworks such as Selenium, Cypress, Playwright, or similar. • Strong programming skills in Python, Java, JavaScript, or C#. • Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps). • Proficient with Git or other version control systems. • Demonstrated experience leveraging AI/ML in test automation (e.g., self-healing tests, AI-driven test case generation). • Ability to design and optimize prompts for LLMs (e.g., OpenAI GPT, Google Gemini). • Experience building or integrating agentic AI solutions (autonomous agents, workflow orchestration). • Understanding of data preparation, labeling, and evaluation for AI-driven solutions. • Strong analytical and problem-solving skills. • Excellent communication and documentation abilities. Preferred Qualifications • Experience with cloud-based AI services (AWS SageMaker, Azure AI, Google Cloud AI). • Relevant certifications in test automation, AI/ML, or cloud technologies. • Experience working in Agile/Scrum environments. • Familiarity with API testing tools (e.g., Postman, RestAssured).

We're seeking someone to join our CDRR Technology team as a Data Scientist, in Fraud Department is criti cal for developing data-driven solutions to prevent fraud and reduce the Firm's exposure to economic loss. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is Director position that manages and optimizes the technical environment and end-user experience across various workplace technologies for end-users, ensuring seamless operations and user satisfaction across the organization. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role : The primary focus will be on building models that evaluate fraud risk across various scenarios, improving both our detection capabilities and operational efficiency. The position must be filled promptly to maintain compliance with expanding Model Risk Management requirements, support the modernization agenda, and meet the scale and scope demands of both Wealth Management senior leadership and second-line (ORD) leadership. The required skillset spans data analytics, traditional machine learning, advanced AI, and horizontal AIML capabilities, demanding deep and comprehensive experience. What you'll bring to the role : 4+ years of AI/ML development experience Practical and applied experience using statistical or general-purpose programming languages (Python, R etc) to implement statistics-based analytics Experience using relational databases or distributed file systems (i.e., SQL, Hadoop) and related tools (Hive, Impala, Spark/PySpark, Tableau) Analytical, critical thinking and decision-making skills utilizing data extraction Excellent written and verbal communication skills Detail oriented with the ability and desire to work in a team environment Good to have Previous experience in developing analytics that look for anomalous behaviour in large data sets Experience in developing an understanding of large data sets coupled with an ability to use that data to answer questions posed by business owners Understanding of fraud and security issues within the banking and finance industry Experience with data analytics in the context of fraud investigation, Financial Services, payment processing, and/or similar fields WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo . We're seeking someone to join our CDRR Technology team as a Data Scientist, in Fraud Department is criti cal for developing data-driven solutions to prevent fraud and reduce the Firm's exposure to economic loss. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is Director position that manages and optimizes the technical environment and end-user experience across various workplace techn

About Qure.AI: Qure.AI is the world's fastest-growing medical AI company, boasting an impressive 13 FDA and 62 CE marking clearances to date. We develop cutting-edge solutions that significantly enhance patient outcomes across various care domains, including lung cancer, tuberculosis, and stroke. Our innovative technologies have positively impacted over 22 million patients in more than 90 countries worldwide. At Qure.ai, we are committed to fostering a diverse and inclusive workplace and are proud to be an equal-opportunity employer. About the job Job Title: Clinical Research Scientist – Oncology Department: Operations - Health Economics and Outcomes Research Location: Mumbai or Bangalore, India Years of Experience: 5-8 years Employment Type: Full-time, Permanent Key Relationships Vice President – Operations, Operational Research and Impact Measurement Job Description Qure.ai is seeking an experienced Clinical Research Scientist to lead the design and execution of high-quality clinical research studies that generate evidence for our AI-enabled oncology solutions, with a primary focus on lung health applications in the United States market. This is an India-based full-time role focused on research on AI-enabled novel disease detection pathways within the US healthcare ecosystem. The role will involve developing real-world evidence and prospective study protocols, supporting peer-reviewed scientific dissemination, and partnering with pharmaceutical, academic, and health-system collaborators, including providers and payers across the US. This position requires strong scientific rigour, the ability to translate clinical needs into robust study designs, and comfort operating in the interdisciplinary, fast-paced environments typical of healthcare AI. While prior research experience in oncology and/or lung health is welcomed, a strong foundation in clinical research methodology combined with a genuine interest in AI applications for oncology is what we are most looking for. Roles and Responsibilities • Support the design and execution of retrospective, prospective, reader, real-world evidence, validation and implementation studies to demonstrate the clinical utility, real-world impact, and effectiveness of Qure's AI solutions for early detection and improved patient outcomes. • Develop study protocols, statistical analysis plans, case report forms, and IRB documentation aligned with US clinical practice workflows. • Support real-world evidence (RWE) studies leveraging US data sources, including claims, electronic health records, and oncology registries, often in partnership with pharmaceutical collaborators and academic medical centers. • Collaborate with Product, Business Development, and R&D teams to ensure clinical studies align with product adoption and market access goals within the US market. • Engage with principal investigators, clinicians, external experts, key opinion leaders, CROs, pharmaceutical stakeholders, and other research partners to validate study designs, ensure rigorous study execution and generate high-quality evidence for publication. • Conduct data quality review, ground-truth adjudication processes, study monitoring, and issue resolution in collaboration with clinical, technical and operational stakeholders. • Draft scientific manuscripts, abstracts, posters, conference presentations, white papers, technical reports for dissemination of research findings through publication in peer-reviewed journals, conference abstracts, posters, and oral presentations at major oncology and imaging meetings. • Conduct targeted and systematic literature reviews to inform study design, protocol development, clinical assumptions, endpoint selection, and publication planning. • Develop and maintain a strong understanding of the US lung health landscape, including relevant clinical guidelines, screening pathways, reimbursement context, and adoption considerations for AI-enabled technologies. • Help translate research findings and real-world evidence on clinical and health system outcomes and into clear scientific narratives for external stakeholders, including clinicians, providers, payers, life sciences partners, and policy stakeholders. • Contribute to the development and maintenance of SOPs, study templates, and internal frameworks for clinical research execution at Qure.ai. • Ensure high standards of scientific integrity, documentation, regulatory compliance, and reproducibility across all clinical research outputs. Skills and Expertise • Master's degree (minimum) in a relevant discipline such as Clinical Research, Epidemiology, Biostatistics, Translational Science or a related quantitative field; candidates with MD, MD-PhD, or PhD qualifications are strongly encouraged to apply. • 5–8 years of relevant experience in clinical research, real-world evidence generation, or evidence-based medicine within pharmaceutical, medical device, CRO, academic, or healthcare AI environments. • Demonstrated experience designing and executing clinical research studies, including protocol development, endpoint definition, study documentation, statistical analysis, and manuscript writing. • Familiarity with study designs across observational, prospective cohort studies, randomized controlled trials, and real-world evidence methodologies. • Direct experience supporting US-based clinical research and working knowledge of the US healthcare context is a strong advantage. • Demonstrated Proficiency in Python or R or similar tools for statistical analysis. • Strong grasp of biostatistics including sample size calculations and advanced statistical analysis, especially in multi-centre study designs. • Demonstrated scientific writing skills with a track record of peer-reviewed publications, conference proceedings, or other academic outputs. • Familiarity with oncology clinical pathways is desirable, however candidates with strong clinical research foundations and a genuine interest in AI applications for oncology and lung health will be given equal consideration. • Excellent project management and multi-tasking abilities; ability to own study timelines and budgets and to coordinate across multiple internal teams and external stakeholders. • Experience working with global, cross-functional teams; strong presentation and communication skills, with the ability to translate complex clinical and statistical concepts for non-technical audiences. • Self-driven and detail-oriented, with the ability to take ownership of projects in a fast-paced, dynamic environment. Other Considerations • The capacity to adapt to fast-paced, changing environments typical of healthcare settings, and to respond swiftly to the evolving needs of the project and stakeholders. • An understanding of the importance of patient data security and the ethical considerations in deploying AI in healthcare settings. At Qure.ai You will be part of a rapidly growing organization, with an opportunity to work alongside the best minds in the industry. Competitive compensation and rewards, opportunity to grow with a young company. Inclusive workspace: https://wiki.qure.ai/share/2c7c172f-3650-4fbc-8ba6-10b10e166cc1 By submitting your information and application, you confirm that you have read and agree to the Applicant Privacy Policy: https://www.qure.ai/applicant-privacy-policy

Key Responsibilities • Design, develop, and optimize AI/ML solutions using Snowflake Cortex and Cortex Code. • Lead the implementation of chatbot solutions leveraging Snowflake's native AI capabilities, reducing dependency on pre-verified and hard-coded queries. • Improve SDLC efficiency through AI-driven development, automation, and intelligent workflows. • Develop GenAI-based code generation and optimization frameworks within the Snowflake ecosystem. • Automate testing processes and implement AI-powered mechanisms to improve data quality and validation. • Design and implement fuzzy logic-based validation frameworks to identify and enforce business rules that are not explicitly defined. • Build AI-driven solutions to convert logical data models into physical implementations, accelerating data engineering and architecture processes. • Collaborate with data engineers, architects, and business stakeholders to define and implement scalable AI solutions. • Monitor, evaluate, and continuously improve the performance, accuracy, and reliability of AI/ML models and applications. Required Skills & Qualifications • Strong experience with Snowflake, including Snowflake Cortex and Cortex Code. • Expertise in AI/ML, Generative AI, and Large Language Model (LLM)-based applications. • Experience building conversational AI/chatbot solutions. • Proficiency in Python, SQL, and data engineering concepts. • Knowledge of automated testing frameworks and data quality management. • Experience with fuzzy matching, fuzzy logic, and intelligent validation techniques. • Strong understanding of data modeling, metadata management, and data architecture. • Ability to translate business requirements into scalable AI-driven solutions. Preferred Qualifications • Experience implementing enterprise-scale GenAI solutions. • Familiarity with MLOps, CI/CD pipelines, and SDLC automation. • Experience in data governance, data quality, and model-driven development approaches. • Knowledge of cloud platforms such as AWS, Azure, or GCP. Experience: • 6–10 years of experience in software development with team handling exposure

Lead Production Support Engineer Konovo is a global healthcare intelligence company on a mission to transform research through technology—enabling faster, better, connected insights. Konovo provides healthcare organizations with access to over 2 million healthcare professionals, the largest network of its kind globally. With a workforce of over 200 employees across 5 countries—India, Bosnia and Herzegovina, the United Kingdom, Mexico, and the United States—we support some of the most prominent names in healthcare. Our Whitefield-based India team is our innovation hub and center of excellence for building scalable platforms, AI-enabled capabilities, and next-generation healthcare technology. As a Lead Production Support Engineer at Konovo, you will be the frontline owner of production stability, operational excellence, and customer trust. You will work across Product, Engineering, QA, DevOps, and Business teams to ensure our platform remains reliable, scalable, and resilient for global healthcare customers. This is not a ticket-management role—it is an engineering ownership role for someone who thrives under pressure, enjoys debugging complex distributed systems, and takes accountability for resolving critical production issues end-to-end. How You'll Make an Impact Production Incident Investigation & Debugging • Own end-to-end investigation of production incidents across frontend, backend, APIs, databases, and distributed services. • Debug issues across modern applications built with JavaScript, React, Next.js, Java, or Scala. • Drive rapid incident resolution while balancing business impact, customer communication, and technical accuracy. • Partner with engineering teams to identify root causes and deploy permanent fixes. Monitoring, Alerting & Root Cause Engineering • Monitor application logs, service health, API behavior, infrastructure metrics, and business alerts. • Use observability tools like Datadog, Amazon CloudWatch, or the ELK stack to proactively detect anomalies. • Lead root cause analysis for critical incidents and publish executive-ready incident reports. • Drive preventive actions to eliminate recurring production issues. Application & Database Support • Investigate data inconsistencies, performance issues, API failures, and system behavior across production environments. • Perform advanced troubleshooting using MySQL and NoSQL systems. • Understand schema relationships, data integrity, and business workflows in healthcare market research systems. • Support platform releases, hotfix validations, rollback decisions, and post-release monitoring. Bug Management & Operational Excellence • Raise high-quality bugs with complete logs, traces, RCA, and reproduction steps in Jira. • Coordinate issue lifecycle across engineering, QA, DevOps, and product stakeholders. • Maintain incident dashboards, SLA metrics, and production quality trends. • Build knowledge repositories, playbooks, and troubleshooting guides in Confluence. Automation & Process Improvement • Identify opportunities to automate support workflows, alerting, health checks, log analysis, and recovery processes. • Partner with Konovo’s LITE team to explore AI-driven production support use cases such as anomaly detection, log summarization, and automated RCA. • Continuously improve operational efficiency, incident response time, and platform reliability. Cross-Functional Leadership • Act as the bridge between engineering teams and business stakeholders during production incidents. • Provide calm, clear, and data-driven communication during outages or escalations. • Mentor junior support engineers and help scale operational best practices across teams. What We're Looking For • 7–12 years of experience in production support, site reliability, platform support, or application engineering under L-3 Support. • Strong debugging experience across frontend, backend, APIs, and distributed systems. • Hands-on experience with: • JavaScript, Java, or Scala • React / Next.js applications • SQL / MySQL / NoSQL databases • Monitoring tools like Datadog, Grafana, CloudWatch, ELK • Cloud platforms such as Amazon Web Services • Strong understanding of microservices, distributed systems, API integrations, and SaaS platforms. • Experience with Agile delivery, incident management, and cross-functional stakeholder communication. • Comfortable leveraging AI-enabled tools to streamline workflows, improve response quality, and increase speed without compromising data integrity or customer experience. • Healthcare, life sciences, or market research platform experience is a strong plus. • Strong ownership mindset, calm under pressure, and bias toward action. Why Join Konovo? • Be part of a mission-driven organisation that is empowering life science researchers and data scientists with the broadest ecosystem of healthcare audiences and an intelligent, AI-enabled platform — so insights aren't just collected, they're connected. • Join a fast-growing global team with opportunities for professional growth and advancement. • Enjoy a collaborative and hybrid work environment that fosters innovation and flexibility. • Experience a workplace that puts employees first, offering a workplace designed for growth, well-being, and balance. • Become a part of an organisation that prioritizes your well-being with comprehensive benefits, including group medical coverage, accident insurance, and a robust leave policy. Our employee-centric policies ensure a rewarding and fulfilling work experience. • Make a real-world impact by helping healthcare organisations innovate faster. If you’re eager to build a meaningful career in healthcare market research — and you’re smart, nice, and driven to make an impact — we’d love to hear from you! Apply now to be part of our journey.

Business Development Executive – Life Sciences & Laboratory Solutions Location: Bengaluru, Karnataka Company: SiVerce Solutions About the Role We are looking for a motivated and energetic Business Development Executive to help expand our customer base in the life sciences, pharmaceutical, biotechnology, research, academic, and healthcare sectors. The ideal candidate should enjoy interacting with people, identifying business opportunities, and building long-term customer relationships. Key Responsibilities • Identify potential customers through online research, LinkedIn, databases, industry directories, and other lead generation platforms. • Reach out to prospective clients via phone calls, emails, LinkedIn, and WhatsApp. • Schedule appointments and meetings with decision-makers, procurement teams, researchers, laboratory managers, and faculty members. • Visit customer locations and present the company's product portfolio and services. • Understand customer requirements and provide suitable solutions. • Follow up on enquiries, quotations, and purchase requirements. • Maintain customer records and sales activities in the CRM system. • Build strong relationships with existing customers and generate repeat business. • Coordinate with internal teams for quotations, order processing, and customer support. • Work towards monthly and quarterly business goals. Performance-based incentives and growth opportunities are directly linked to your achievements. • Represent the company at exhibitions, conferences, workshops, and industry events when required. Products & Services • Laboratory Chemicals • Research Reagents & Kits • Laboratory Instruments • Plasticwares & Consumables • Molecular Biology Products • Bioinformatics & Research Services • Analytical Services Eligibility • Bachelor’s or Master’s degree in Biotechnology, Microbiology, Biochemistry, Life Sciences, Pharmacy, Biomedical Sciences, or related fields. • Freshers with strong communication skills are encouraged to apply. • Candidates with 1–3 years of experience in scientific sales or business development will be preferred. Required Skills • Good communication and presentation skills. • Confidence in meeting and interacting with customers. • Basic understanding of life sciences and laboratory products. • Ability to generate leads and build customer relationships. • Self-motivated and target-oriented mindset. • Proficiency in MS Office, email communication, and LinkedIn. What You'll Gain • Exposure to the biotechnology, pharmaceutical, and research industries. • Opportunity to work directly with scientists, researchers, and industry professionals. • Career growth in scientific sales and business development. • Performance-based incentives and rewards. • Hands-on training on laboratory products and customer engagement. Compensation & Benefits • Fixed Salary: ₹20,000 per month • Travel Allowance provided as per company policy for official customer visits and business meetings. • Performance-based incentives may be offered based on sales achievements and business growth. Additional Requirements • Candidate must own a two-wheeler and possess a valid driving license. • Willingness to travel within Bengaluru and nearby locations for customer meetings, demonstrations, and business development activities. Employment Type Full-Time To Apply Send your resume to: [email protected] Subject: Application for Business Development Executive – Life Sciences & Laboratory Solutions

Job Description- Virtual care Nurse Practitioner About the Company: Resolute/HumanFractal.Ai is an integrated digital health & wellness platform covering precision wellness, continuous virtual care and digital therapeutics. We create hyper personalized health and wellness journeys which are intuitive, always on, holistic and outcome focused. We are a team of Clinicians, Engineers, Data Scientists, Practitioners, Behavioural experts with One Long Term Goal - Unlocking Full Health Potential for everyone. We are looking for a trained Nurse to be part of our team of healthcare professionals. Responsibilities: •Connect with the customers over calls/Zoom sessions to facilitate tests etc. •Evaluate the patient’s condition on the scene and perform preliminary diagnosis. •Attend to injuries or sudden illnesses by applying a variety of pre-hospital simple and advanced treatments (first aid, CPR, administering injections and oxygen etc.) or surgical procedures. •Use tech equipment and tools to stabilize patients or provide immediate treatment. •Monitor patient’s condition enroute to the hospital. •Collaborate with interested parties (police, firefighting unit, doctors etc.) •Write and submit concrete and accurate reports on incidents. •Adhere to established medical protocols and procedures as well as legal guidelines and health and safety standards. •Keep abreast of new treatment and medical procedures through continuous training. Requirements: •Excellent communication skills. •Awareness and basic knowledge of Computers (Expert in MS Office Tools, especially MS. Excel VLOOKUP) •Proven experience as a Nurse •Knowledge of medical procedures, terminology, and medications •Ability to stay calm and make the right decisions in adverse conditions. •Adaptable with a great deal of stamina •Excellent working knowledge of medical equipment and devices •High school diploma; Licensed Nurse is a must Job Types: Full-time, Permanent Benefits: • Provident Fund Work Location: In person

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: Join our AI team where you'll design and implement artificial intelligence solutions that help make the world healthier, cleaner, and safer. As a Staff Engineer in Artificial Intelligence, you'll architect and develop advanced AI/ML solutions that drive innovation across our diverse business units. You'll collaborate with data scientists, researchers, and business stakeholders to create scalable AI architectures, optimize model performance, and implement state-of-the-art machine learning solutions. This role includes developing predictive models for patient and donor risk, working with healthcare datasets, and integrating AI capabilities into applications, often leveraging cloud-based platforms. Key Responsibilities • Design, develop, and deploy AI/ML models and algorithms • Build predictive models for patient and donor risk assessment (e.g., eligibility, adverse outcomes, fraud/risk scoring) • Work with structured and unstructured healthcare/life sciences data (EHR, clinical, donor data) • Perform data preprocessing, feature engineering, and model evaluation • Integrate AI models into production systems via APIs or microservices • Collaborate with data scientists, clinicians, and business stakeholders • Optimize model performance, accuracy, and interpretability • Utilize cloud AI/ML platforms (AWS, Azure, Google Cloud) • Monitor, retrain, and maintain models in production (MLOps practices) • Ensure compliance with healthcare regulations (HIPAA, FDA, GDPR as applicable) • Apply ethical AI practices, including bias detection and model transparency • Stay updated with advancements in AI, healthcare analytics, and risk modeling Required Qualifications • Bachelor’s or Master’s degree in computer science, AI, Data Science, or related field • 5+ years of experience in AI/ML development • Strong programming skills in Python (preferred), C#.Net, Java, or C++ • Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn • Experience developing risk models (classification, regression, survival analysis) • Familiarity with Natural language processing (NLP) framework • Knowledge of healthcare or life sciences data, including patient and donor datasets • Experience with data preprocessing and analysis (Pandas, NumPy) • Familiarity with REST APIs and software development practices • Understanding of statistics, probability, and data structures • Experience with version control (GitHub) • Strong problem-solving and analytical skills • Good communication and collaboration abilities Preferred Qualifications    •   Experience with Generative AI and large language models (LLMs)    •   Familiarity with healthcare data standards (HL7, FHIR)    •   Experience with cloud AI services:       •   AWS SageMaker       •   Azure AI / ML Studio       •   Google Vertex AI    •   Knowledge of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)    •   Experience with big data tools (Spark, Kafka)    •   Background in clinical analytics, epidemiology, or biostatistics    •   AI or cloud certifications

Ambilio delivers AI and analytics solutions for enterprises, helping them design, build, and deploy innovative AI-powered applications that create measurable business impact. Our learning and talent initiative, Incubity, focuses on building real-world AI and DevOps skills through projects, mentoring, and enterprise training programs. Role Overview We are looking for a final-year student or recent graduate to join us as an AI & DevOps Intern. This role blends AI application development with cloud deployment and infrastructure management. You will work closely with our AI, full-stack, and DevOps teams to develop, deploy, and manage AI-powered enterprise applications in real-world environments. Requirements Key Responsibilities Design, develop, and deploy AI and LLM-based applications for Ambilio's consulting and product initiatives. Build and experiment with agentic AI systems and autonomous workflows. Deploy, monitor, and manage AI applications in production using AWS services. Set up and maintain CI/CD pipelines for continuous deployment. Configure and manage containers (Docker, ECS/EKS) for scalable deployments. Integrate multiple AI and application components into a unified enterprise platform. Build sandbox or playground environments for experimentation and testing. Implement multi-tenant management, security, monitoring, logging, and automated backups. Collaborate with developers and data scientists to troubleshoot deployment and performance issues. Optimize cloud resources and ensure reliability and cost efficiency. Required Skills & Qualifications Final-year student or recent graduate in Computer Science, AI, Data Science, or related fields. Understanding of AWS Cloud Infrastructure (EC2, ECS/EKS, S3, RDS, IAM, Load Balancers). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, or similar). Experience with Docker, Kubernetes, and container orchestration. Exposure to infrastructure as code tools (Terraform, CloudFormation, etc.). Knowledge of LLM application development and agentic AI architectures. Hands-on with vibe coding tools such as Cursor, Lovable, or Google Stitch. Scripting skills in Python or Bash for automation and DevOps tasks. Solid problem-solving skills, curiosity, and ability to work independently in a rapid-paced workplace.

Description We are looking for a hands-on Data & AI Engineer with 5-8 years of experience to support ongoing Data Science / ML Engineering work. This role requires strong engineering fundamentals, experience with large-scale data pipelines, and familiarity with modern LLM tooling. Requirements Nice-to-Have Skills • Understanding of machine learning algorithms and toolkits (e.g., scikit-learn, XGBoost) • Experience with feature engineering, feature selection, and pruning • Familiarity with deploying and monitoring ML/LLM systems in production Job responsibilities Key Responsibilities: • Own and support activities including monitoring, debugging, and maintaining existing data pipelines and AI systems • Build, optimize, and maintain data pipelines using Spark, Hive, and UDFs • Develop and enhance LLM-powered applications using frameworks such as LangChain (e.g., ReAct-style agents) • Write clean, efficient, and scalable Python code for production systems • Collaborate with data science and engineering teams to integrate models and workflows into production • Troubleshoot performance issues and ensure system reliability and scalability What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.