Job Description :Responsibilities :- Own data problem formulation for AI systems using healthcare, claims, coding, and payer data.- Design training data strategies, including data extraction, labeling, annotation, and quality improvement.- Mine large, complex datasets to identify high-value patterns for improving AI/coding accuracy.- Architect and evolve AI/ML platforms covering training, batch processing, and real-time inference.- Build multi-modal AI systems using clinical text, structured EHR data, and domain knowledge.- Evaluate AI tools/platforms and drive Build vs. Buy decisions.- Mentor AI engineers across NLP, Traditional ML, and GenAI.- Collaborate with Data Engineering, GenAI/NLP, and Product teams on data and model strategy.Must-Have :- 8+ years building and deploying production AI/ML systems.- Strong experience with complex, domain-specific data and high-cardinality datasets.- Deep expertise across NLP, Traditional ML, and GenAI, with production experience in each.- Expert-level PyTorch or TensorFlow with experience in model training at scale.- Strong hands-on experience with data quality, labeling, and training-data curation.- Experience with AWS/Azure/GCP and containerized AI workloads using Docker/Kubernetes. (ref:hirist.tech)
... https://jobeax.com/link/0zb8xjSgKIPg9cZC AND QUALIFICATIONS : - 8+ years hands-on in AI/ML and Data Science, with models that reached production and changed a business metric; a record of leading a team - hiring, setting standards and developing next-in-line leaders.- Strong command of Python and SQL across large datasets, with robust, testable code ...
... agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, they transform technology services delivery combining AI with digital resilience to drive real business https://jobeax.com/link/L8HgmCHnF2IkSu8k : Data ScientistTotal Experience : 8 - 11 yearsRelevant Experience : 8 ...
... experience in Data Science / AI / ML roles - LLM evaluation methodology — building test sets, defining accuracy/quality metrics, and rigorously assessing LLM-based system performance (this is core to the role, not a bonus skill) - Practical experience with RAG systems and prompt engineering , including retrieval quality assessment ...
... performance metrics- Contribute to building a scalable, reusable data science toolkit and best practices across the teamExperience & qualifications:Must-have skills:Data Science, Python and SQLRequired skills:Regression Testing, Hypothesis Testing and Experiment DesignPreferred skills:PyTorch, BigQuery ML, Vertex AI and DatabricksRequired ...
... and establish best practices in analytics and data https://jobeax.com/link/0wGHTJrlTIBvTNSb Requirements:- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.- 8 - 12+ years of experience in data science, AI/ML, GenAI, LLM Ops, and healthcare analytics.- Proven expertise ...
Role Overview:We are looking for a Data Scientist / AI-ML Engineer with strong experience in statistical modeling, machine learning, data analysis, and predictive analytics. The candidate will develop, evaluate, and deploy machine learning models to solve business problems, improve decision-making, and deliver measurable ...
... Data Engineering Integration : Proficiency in SQL and experience working with Big Data technologies (Spark, Hadoop) and cloud platforms (AWS SageMaker, Azure ML, or Google Vertex AI).- MLOps : Strong understanding of model versioning (MLflow), containerization (Docker/Kubernetes), and CI/CD pipelines for ML.- Optimization ...
Role Overview : We are looking for a highly skilled Senior Data Scientist / AI-ML Engineer with 5+ years of experience in designing and developing AI/ML models, advanced analytics, and data science solutions. The role involves hands-on work with Python, statistical modelling, exploratory data analysis, and cloud AI/ML technologies ...
... development and implementation.- Strong problem-solving and analytical skills.- Familiarity with a range of technology platforms and tools.- Strong command over AI technologies including Python, TensorFlow, PyTorch, ONNX, Scikit-learn, LangChain, etc.- Deep understanding of model training, evaluation, interpretability, and ...
... data science expertise, strong system design capabilities, and hands-on technical leadership. You will drive architectural decisions, guide teams through complex ML implementation challenges, and partner with business, data engineering, DevOps, cloud, and governance stakeholders to deliver production-grade AI/ML https://jobeax.com/link/NEGihx4n1Wqwy714 ...