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Minfy

Data Scientist

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  • Posted 8 days ago
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Job Description

Data Scientist – ML, GenAI & Agentic AI

Education

    • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
    • Strong academic foundation in statistics, probability, and machine learning
Core Experience

    • 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
Machine Learning & MLOps

    • 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
Generative AI & LLMs

    • 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
Agentic AI (Growing Expertise)

    • 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
    • Human-in-the-loop mechanisms
    • Logging and observability for agent behavior
Cloud Platform

    • Working knowledge of key AWS services, including:
    • S3, Lambda, Redshift, IAM
Professional & Collaboration Skills

    • 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
Nice to Have

    • 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

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About Company

Job ID: 147649791

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