Overview
Skills
Job Details
Note: Need Only .
Position: Data Scientist with AI Location: Remote Duration: Full Time Role
Principal Responsibilities:
Bachelor s or Master s in Computer Science, Statistics, Math, Data Science, or related field.
10+years designing and deploying production-grade ML or data engineering solutions.
Proficiency in Python (Pandas, PySpark, scikit learn, TensorFlow/PyTorch) and SQL.
Hands-on work with at least two of the following platforms: OpenSearch, Snowflake, Redshift, Redis, Pinecone, SageMaker.
Solid grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics.
Experience with Linux, Git, CI/CD, Docker, and at least one orchestration framework (Airflow, Prefect, Kubeflow, or Dagster).
Clear, concise communicator able to present complex analyses to senior leadership.
Preferred Qualifications:
Prior exposure to LLM fine tuning, prompt engineering, or RAG pipelines.
Experience deploying ML services on AWS (S3, ECS/EKS, Bedrock), Azure, or Google Cloud Platform.
Knowledge of procurement, supply chain, IoT sensor, or ERP data domains.
Familiarity with Agentic AI frameworks (LangChain Agents, CrewAI, Haystack, etc.).
Track record of hackathon wins, open-source contributions, or published research.
Thanks & Regards
Mahesh