Senior AI/ML Engineer
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Role details
Tech stack
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Job description
Role Type: Technical - AI/ML Engineer with Python, AWS AI/ML and GenAI Senior Developer Roles & Responsibilities Role Overview
Requirements
Do you have a valid AWS Certified Machine Learning - Specialty certification?, Do you have experience in XGBoost?, Do you have a Bachelor’s degree?, * Strong programming skills in Python (preferred), with experience in data science libraries.
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Solid understanding of machine learning fundamentals, model evaluation, and optimization.
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Hands on experience with AWS ML and cloud services.
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Experience with REST APIs, microservices, and distributed systems.
ML / AI Frameworks
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scikit learn, XGBoost, eval
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Experience with LLMs, prompt engineering, RAG, and agent frameworks is a strong plus.
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MLOps: Strong knowledge of deploying ML models into production and managing their day to day operations, including monitoring, retraining, and performance optimization.
Data & Engineering
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Experience working with structured and unstructured data.
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Strong SQL and data analysis skills.
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Knowledge of data governance, security, and privacy principles.
GEN -AI
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Experience with GenAI / Agentic AI architectures
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Exposure to geospatial or domain specific analytics (e.g., GIS, operations data)
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Knowledge of Responsible AI, explainability, and audit requirements
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Familiarity with VS Code, GitHub Copilot, and AI assisted development tools
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AWS certification (AI/ML or Cloud) is a plus, Qualifications : BACHELOR OF COMPUTER SCIENCE
Benefits & conditions
Pulled from the full job description
- Pet insurance
- Health insurance
- Vision insurance
- Dental insurance
- Commuter assistance, Salary Range: $120,000- $130,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays.
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