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Job Description
Data Scientist – ML, GenAI & Agentic AI
Education
Education
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- Strong academic foundation in statistics, probability, and machine learning
- 5–8 years of professional experience in Data Science, Machine Learning, or Applied AI
- Hands-on experience building, training, and deploying ML models in production environments
- Strong understanding of data preprocessing, feature engineering, and model evaluation
- Experience working on end-to-end ML workflows under guidance of senior/principal team members
- Ability to translate business and product requirements into data-driven solutions
- Practical experience using Amazon SageMaker for:
- Model training and tuning
- Model deployment and inference
- Experience with common ML algorithms using scikit-learn, TensorFlow, or PyTorch
- Familiarity with MLOps concepts such as:
- Model versioning
- Experiment tracking
- Basic monitoring and retraining workflows
- Working knowledge of Docker and exposure to Kubernetes-based deployments
- Experience collaborating with ML engineers to operationalize models
- Hands-on experience developing LLM-powered applications using Amazon Bedrock or similar platforms
- Experience building or contributing to Retrieval-Augmented Generation (RAG) pipelines, including:
- Document ingestion and chunking
- Embedding generation
- Similarity search using vector databases
- Practical knowledge of prompt engineering, prompt tuning, and output evaluation
- Understanding of common LLM failure modes such as hallucinations and grounding issues
- Ability to evaluate LLM responses for accuracy, relevance, and safety
- Exposure to Agentic AI concepts and frameworks such as AgentCore
- Experience implementing:
- Simple Autonomous agents or workflows
- Multi-step reasoning with predefined tools
- Familiarity with tool-calling, agent orchestration, and workflow automation
- Understanding the importance of:
- Guardrails
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- Human-in-the-loop mechanisms
- Logging and observability for agent behavior
- Working knowledge of key AWS services, including:
- S3, Lambda, Redshift, IAM
- Strong Python programming skills and experience working with APIs
- Ability to work effectively in cross-functional teams (product, engineering, analytics)
- Willingness to learn quickly in a fast-evolving AI landscape
- Comfortable taking technical guidance and implementing feedback
- Clear communication of findings, limitations, and model behavior to non-technical stakeholders
- Initial exposure to AI governance, compliance, or ethical AI practices
- Experience with monitoring LLM outputs and basic evaluation frameworks
- Certifications in AWS, Machine Learning, or Data Science
- Prior experience in enterprise or cloud-native environments
Skills
PythonData ScienceMachine LearningData ScientistPrompt EngineeringAnalyticsAiMlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
18 Jul 26, 02:27 PM IST
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