Lead ML / Data Scientist in Gurugram, India is listed on Jobeax. Browse 30,000+ vacancies available.
ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Instead, you'll be out in the open water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new capabilities.
Work with clients to translate business questions into well-scoped data science problems, and define the approach, data requirements and success measures.
Design and oversee ML solutions across the pharma commercial lifecycle, and choose methods that fit the data and the decision they support.
Quality-check the team's work and guide models to production through cross-team collaboration.
Lead project delivery across timelines, scope and team allocation, often across parallel engagements.
Mentor and manage a team of data scientists, and keep yourself and the team current with advancements in the field for collective growth.
Contribute to business development and internal capability building through proposals, POCs and reusable offerings, and help the practice grow
5.5+ years of hands-on experience in data science and ML, with at least 2 years leading projects or teams in a pharma consulting or client-facing setting.
A Bachelor's or Master's degree in engineering, statistics, mathematics or a relevant quantitative field.
Experience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, CRM, DDD, Lab and other HCP, account or patient-level data.
Strong depth in Statistics, supervised and unsupervised ML, Deep learning and GenAI concepts, along with experience in deploying models to production.
Strong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure.
A track record of owning client communication and explaining results to non-technical stakeholders.
Experience in guiding and managing a team of data scientists.
... facility Skills: Strong clinical and scientific understanding (especially in antimicrobials) Communication and presentation skills Ability to interpret microbiology data and reports Self-motivated with strong time and project management Proficiency in MS Office (Word, Excel, PowerPoint) and digital learning platform Willingness ...
... polyurethane or epoxy chemistries. The role emphasizes strict documentation, compliance with safety and quality standards, and high information security for proprietary data Lead development of new adhesive, sealant, and coating formulations aligned with business strategy and customer requirements. Adapt and localize global Sika formulations ...
... Information Technology, Engineering, Artificial Intelligence, Data Science, or a related discipline. - 6 - 10 years of relevant professional experience in AI/ML, cloud engineering, data science, or related technology domains. - Demonstrated handson experience delivering AI/ML/GenAI solutions. - Experience leading technical ...
... as a bridge between onshore business/technology stakeholders and offshore delivery teams, ensuring alignment, transparency, and execution.- Provide technical leadership in areas such as AI/ML solutions, automation, cloud-native architectures, APIs, and modern SDLC practices.- Lead end-to-end AI based software delivery, ...
... Omniverse and digital twin offerings. Work with AI/ML, IoT, and visualization teams to integrate data streams and simulation models into Omniverse environments. Lead integration of Omniverse with Unity/Unreal, Python APIs, and AI-driven analytics tools. Build and document reusable modules, SDKs, and data connectors for future ...
... and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven https://jobeax.com/link/DYAPgQfCPcKBBBlq to the Senior Director of Data Platforms, this role will lead the design and governance of modern data architectures, ...
... platform.- Exposure to Large Language Models (LLMs) and generative AI concepts.- Design, develop, and deploy generative AI applications using Python and cloud-based AI/ML services.- Collaborate closely with product managers, data scientists, and engineering teams to gather requirements and convert them into technical specifications ...
... infrastructure and best practices Strong proficiency in Python and SQL Experience working with PostgreSQL and at least one of MSSQL or MySQL Hands-on experience with data analysis libraries such as Pandas and NumPy Experience building evaluation, testing, or validation pipelines for AI, ML, or data-driven applications Familiarity ...
... platform.- Exposure to Large Language Models (LLMs) and generative AI concepts.- Design, develop, and deploy generative AI applications using Python and cloud-based AI/ML services.- Collaborate closely with product managers, data scientists, and engineering teams to gather requirements and convert them into technical specifications ...
... for semantic search. Monitor, evaluate, and optimize GenAI models for accuracy, performance, and cost. Expertise You'll Bring: - 5+ years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation. - 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based ...
Hiring: MD-AI Engineer We are hiring experienced MD-AI Engineers for exciting AI and Generative AI projects across PAN India. Job Details: - Role: MD-AI Engineer - Experience: 1–10 Years - Salary: ₹12 LPA – ₹60 LPA - Location: PAN India - Hiring Company: Hiringhood IT - Joining Preference: Immediate Joiners .
... platform.- Exposure to Large Language Models (LLMs) and generative AI concepts.- Design, develop, and deploy generative AI applications using Python and cloud-based AI/ML services.- Collaborate closely with product managers, data scientists, and engineering teams to gather requirements and convert them into technical specifications ...
... workflows, applications, and dashboards. Guide the team through robust code reviews, continuous testing, data drift mitigation, and model performance tuning. Team Leadership & Project Management Guide and mentor a multidisciplinary team of CV engineers, ML developers, and data scientists across sprint planning, technical roadblocks, ...
... responsible AI practices Collaborate with product, data, and platform teams to deliver business solutions Bachelor's or master's degree in computer science, AI, Data Science, or related field Experience 3–5 years of experience in software/ML engineering At least 1–2 years of hands-on experience in Generative AI / LLM-based ...
... relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop ...
AI Architect (1272) Full Time AI & Data Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. Since our founding in 2010, innovation ...
... with RAG, GANs, VAEs and other Generative AI models . - Strong knowledge of NLP and Computer Vision techniques. - Good understanding of statistics, probability, data mining and data cleaning . - Strong experience with SQL and Python ML packages such as Scikit-learn, XGBoost and Keras. - Experience in building data pipelines ...
... This is a hands-on technical leadership role you'll architect production-grade AI systems, guide a team of AI/ML engineers, and work closely with Product and Data Engineering to deliver reliable, scalable, and safe AI https://jobeax.com/link/BUuD4rSLiGGi37Y6 Responsibilities : - Architect and lead development of LLM-based ...
... ML libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow).- Hands-on experience building and deploying production-grade ML/LLMs including RAG pipelines, document parsing, and text processing on large-scale unstructured data.- Strong NLP / extraction-focused ML depth : transformers, ...
... ML libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow).- Hands-on experience building and deploying production-grade ML/LLMs including RAG pipelines, document parsing, and text processing on large-scale unstructured data.- Strong NLP / extraction-focused ML depth : transformers, ...