Data Scientist + AI Engineer
Job Title - Data Scientist + AI Engineer
Experience Required: 8+ years
Timezone: 4:30/5:00 PM to 1:30/2:00 AM ISTBudget: 1.5 - 1.6 LPM
Work Mode: Remote
Job Description
High competency with Math: Linear Algebra, Advanced Calculus, Statistics (Descriptive and Inferential)Machine Learning and Neural Networks: Regression, Classification, and unsupervised learning techniques like clustering.
LLMs: Agentic AI, MCP, Multi-agent systems, MLOps, Langchain, Langraph, AWS Strands.
AWS cloud environment: IAM, S3, lambdas, API Gateway, Dynamo DB, Sagemaker, OpenSearch
Hands-on with frameworks/tools like scikit-learn, pandas, Jupyter Notebook, TensorFlow, PyTorch, etc.
Required Skills Qualifications
- Strong foundation in Data Science, Machine Learning, and Artificial Intelligence.
- Solid understanding of Mathematics (Linear Algebra, Probability, Statistics, Optimization)
- Hands-on experience with model training, fine-tuning, and evaluation
- Experience working with LLMs or foundation models and understanding their architecture
- Proficiency in programming languages such as Python
- Experience with ML frameworks like TensorFlow, PyTorch, or similar
- Familiarity with data preprocessing, feature engineering, and model deployment pipelines
- Understanding of agentic AI frameworks or autonomous systems design
- Master's or PhD in Data Science, Artificial Intelligence, Computer Science, Mathematics, or related field
- Experience working on real-world AI products or scalable systems
- Exposure to MLOps, model deployment, and cloud platforms (AWS, GCP, Azure)
