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Job Description
- Data Science & AI Solutions
- Lead the development of predictive, prescriptive, and generative AI solutions to address business challenges.
- Design and implement machine learning, deep learning, and statistical models.
- Develop frameworks for feature engineering, model training, evaluation, and deployment.
- Evaluate emerging AI/ML technologies and recommend adoption opportunities.
- Engineering & Architecture
- Design scalable data science and machine learning architectures.
- Build production-ready ML pipelines and model serving frameworks.
- Collaborate with data engineering teams to establish robust data pipelines and feature stores.
- Ensure solutions adhere to enterprise architecture, security, and governance standards.
- MLOps & Operationalization
- Establish model lifecycle management processes including CI/CD, monitoring, versioning, retraining, and explainability.
- Implement model performance tracking, drift detection, and automated retraining mechanisms.
- Drive adoption of MLOps best practices and tooling.
- Leadership & Collaboration
- Lead and mentor a team of data scientists and machine learning engineers.
- Partner with business stakeholders, product owners, architects, and engineering teams to translate requirements into data science solutions.
- Provide technical leadership through design reviews, code reviews, and best-practice guidance.
- Drive estimation, planning, prioritization, and delivery of data science initiatives.
- Governance & Compliance
- Ensure responsible AI practices, model governance, fairness, explainability, and regulatory compliance.
- Define standards for model documentation, validation, and auditability.
- Required Qualifications
- Education
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Experience
- 8-12+ years of experience in software engineering, data science, or machine learning.
- 3+ years leading teams or managing data science initiatives.
- Experience delivering production-grade machine learning solutions at scale.
- Technical Skills
- Programming
- Python, SQL
- Experience with Spark/PySpark is preferred.
- Machine Learning & AI
- Supervised and unsupervised learning
- Deep learning frameworks (TensorFlow, PyTorch)
- NLP, LLMs, RAG, Agentic AI
- Time series forecasting, recommendations, optimization techniques
- Data & Analytics
- Feature engineering
- Statistical analysis and hypothesis testing
- Experimentation and A/B testing
- Data visualization and storytelling
- Cloud & MLOps
- AWS, Azure,
- Docker, Kubernetes
- MLflow, Airflow ,SageMaker, Azure ML, or equivalent
- CI/CD pipelines and model deployment frameworks
- Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management.
Skills
PythonArtificial IntelligenceMicrosoftMicrosoft AzurePytorchAWSData VisualizationPythonData ScienceDeep LearningMachine LearningVisualizationAi/mlAnalyticsAiMlSqlLlmsGenerative AiRagAgenticAgentic AiPytorchTensorflowNlpMlopsMlflowSagemakerModel DeploymentModel TrainingFeature EngineeringAirflowIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
We help global healthcare organizations address complex challenges by seamlessly integrating analytics, technology, operations and medical expertise. Clients choose Indegene when they want real results. We help clients drive revenue and productivity by making giant leaps in digital transformation, customer engagement, health reform, healthcare cost reduction, and health outcomes improvement.
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