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The role involves architecting and delivering enterprise AI solutions across Healthcare and Life Sciences sectors while leading technical teams. You will drive client consulting, solution design, and the implementation of advanced Generative AI and agentic systems.
Candidates must have 5-7+ years of experience in building AI/ML solutions within regulated environments like Pharmaceuticals or Healthcare. Strong proficiency in Python, SQL, LLMs, and cloud infrastructure is required, along with experience in MLOps and data pipelines.
Data Science Sr. / Lead / Architect –
Healthcare & Life Sciences
Role Overview
· We are looking for an
experienced Data Science Sr. / Lead / Architect to architect and deliver
enterprise AI solutions across Commercial, R&D, and Sales & Marketing
within Healthcare & Life Sciences.
· The role combines AI
architecture, GenAI/Agentic AI engineering, technical leadership, client
consulting, solutioning, and rapid prototyping.
Key Responsibilities
AI Architecture & Technical
Leadership
· Architect scalable, secure,
production-ready AI/ML solutions spanning data, models, LLMs, agents,
applications, APIs, infrastructure, security, and observability.
· Lead and mentor Data Scientists
and Senior Data Scientists, driving technical excellence, coding standards, and
delivery practices.
Consulting & Solutioning
· Lead executive discovery with
Sales, Account Management, Practice Leaders, and Delivery teams to understand
client priorities, challenges, and transformation roadmaps.
· Drive proposals, presentations,
solution architectures, demos, business cases, GTM assets, and thought
leadership.
Generative AI & Agentic AI
· Design and implement RAG
architectures across structured and unstructured data, including embeddings,
vector search, retrieval, reranking, and context management.
· Design multi-agent systems
using LangGraph, including memory, planning, reasoning, tool use, and
autonomous task execution.
· Integrate LLM applications with
enterprise data, APIs, and business systems.
ML Engineering & MLOps
· Design and operationalize
end-to-end ML/AI pipelines with Data Engineering and MLOps teams, covering
deployment, monitoring, versioning, evaluation, and lifecycle management.
· Rapidly build POCs, prototypes,
and demos and translate them into measurable business value and ROI.
Required Qualifications & Experience
Experience
· 5–7+ years designing, building,
and deploying AI/ML solutions.
· Experience in Pharmaceutical,
Healthcare, or Life Sciences IT, including healthcare datasets such as EHR/EMR,
claims, clinical, or imaging.
· Experience delivering
production AI/ML solutions within quality, compliance, and regulated
environments.
· Experience developing
predictive models and/or digital twins.
Technical Skills
· Strong Python and SQL skills
with understanding of data modelling, ETL/ELT, pipelines, and data warehousing.
· Strong knowledge of supervised,
unsupervised, and deep learning using TensorFlow and/or PyTorch.
· Hands-on experience with LLMs,
Generative AI, RAG, LangChain/LangGraph, prompt engineering, tool calling,
structured outputs, guardrails, evaluation, and model selection.
· Experience integrating AI
applications with enterprise data, APIs, and business systems.
· Understanding of AWS/cloud
architecture, MLOps tools such as MLflow, Kubeflow, or SageMaker, and
containerization, CI/CD, deployment, monitoring, and production operations.
· Strong communication,
stakeholder management, and technical leadership skills.
Helping global businesses and leading sectors thrive with integrated Digital & Engineering solutions!
SRM Technologies is a global digital and engineering services company serving Mobility, Life Sciences, Healthcare, and other high-impact industries. We partner with enterprises to build intelligent, future-ready business ecosystems that combine deep engineering expertise with digital innovation. Our integrated capabilities span design, development, modernization, implementation, and managed services across digital platforms, data, cloud, embedded systems, and industry-specific solutions. With delivery presence across North America, Japan, Europe, the UK, the Middle East, Australia, and India, we support global enterprises in navigating transformation at scale. We are a certified Great Place To Work®, and our culture is anchored in one core belief: ideas@work. For us, ideas matter only when they translate into measurable business outcomes and meaningful impact for our customers and their end users. We focus on practical innovation, execution excellence, and long-term value creation driven by our passionate and growing team. 𝘚𝘙𝘔 𝘛𝘦𝘤𝘩 𝘪𝘴 𝘢 𝘱𝘳𝘰𝘶𝘥 𝘮𝘦𝘮𝘣𝘦𝘳 𝘰𝘧 𝘵𝘩𝘦 𝘚𝘙𝘔 𝘎𝘳𝘰𝘶𝘱, 𝘢 𝘮𝘶𝘭𝘵𝘪𝘯𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘰𝘯𝘨𝘭𝘰𝘮𝘦𝘳𝘢𝘵𝘦 𝘸𝘪𝘵𝘩 𝘢 𝘳𝘪𝘤𝘩 𝘩𝘪𝘴𝘵𝘰𝘳𝘺 𝘴𝘱𝘢𝘯𝘯𝘪𝘯𝘨 𝘰𝘷𝘦𝘳 𝘧𝘰𝘶𝘳 𝘥𝘦𝘤𝘢𝘥𝘦𝘴. 𝘛𝘩𝘦 𝘚𝘙𝘔 𝘎𝘳𝘰𝘶𝘱 𝘰𝘱𝘦𝘳𝘢𝘵𝘦𝘴 𝘪𝘯 𝘥𝘪𝘷𝘦𝘳𝘴𝘦 𝘴𝘦𝘤𝘵𝘰𝘳𝘴, 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘌𝘥𝘶𝘤𝘢𝘵𝘪𝘰𝘯, 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺, 𝘏𝘦𝘢𝘭𝘵𝘩𝘤𝘢𝘳𝘦, 𝘢𝘯𝘥 𝘔𝘦𝘥𝘪𝘢.
Offices: No. 143, M.G.R Road, Kandanchavadi, Perungudi, Campus 1A, 5th Floor, RMZ Millenia Business Park,, Chennai, Tamil Nadu 600096, IN · 3705 Quakerbridge Rd, Suite 212, Hamilton, New Jersey 08619, US · 6F, Daiichi Biru. 2-7-15 Kiba Koto-ku,, Tokyo , 135-0042, JP · Windsor Ave., 1534, Windsor, Ontario N8X 3M4, CA · Unit #1, UrbanWrk, Building 10, 10th Floor, Raheja Mindspace, HUDA Techno Enclave, HITEC City, Hyderabad, Telangana 500081, IN
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