MedRisk - Data Scientist - Machine Learning

Data Scientist - 6+ Years

Job Summary :

We are looking for an experienced Data Scientist with 6+ years of experience in machine learning, statistical modelling, data analysis, and AI solutions. The candidate should have strong hands-on experience with Python, SQL, machine learning algorithms, NLP, and model development/deployment. Experience with Generative AI, LLMs, RAG, or cloud AI platforms is a strong plus.

Key Responsibilities :

- Develop and deploy machine learning and statistical models for business problems.

- Perform data preprocessing, cleaning, feature engineering, and exploratory data analysis.

- Apply supervised and unsupervised machine learning algorithms.

- Build, evaluate, optimize, and monitor ML models.

- Work with NLP, recommendation systems, and/or computer vision use cases.

- Develop Generative AI/LLM solutions, including RAG and prompt engineering.

- Perform model evaluation, benchmarking, and performance optimization.

- Work with large datasets using Python and SQL.

- Develop data pipelines and integrate ML models with production applications.

- Collaborate with Data Engineers, ML Engineers, and business stakeholders.

- Deploy AI/ML solutions on cloud platforms such as AWS, Azure, or Google Cloud.

Required Skills :

- 6+ years of experience in Data Science / Machine Learning.

- Strong Python programming skills.

- Strong SQL and data manipulation skills.

- Experience with Pandas, NumPy, Scikit-learn and ML frameworks.

- Strong understanding of statistics and probability.

- Experience with regression, classification, clustering, and ensemble techniques.

- Experience in feature engineering and model evaluation.

- Experience with NLP, recommendation systems, or computer vision.

- Knowledge of ML lifecycle and model deployment.

- Experience with cloud platforms and production ML systems.

Good to Have :

- Generative AI, LLMs, RAG, Agentic AI.

- Prompt engineering and LLM evaluation.

- Vertex AI / Azure OpenAI / AWS Bedrock.

- TensorFlow or PyTorch.

- Docker, Kubernetes, and REST APIs.

- Experience with MLOps and CI/CD.

Education:

- Bachelor's/master's degree in computer science, Data Science, Statistics, Mathematics, Engineering, or a related field.