AI/ML Engineer
Talent Details
- Primary Skills
- Machine Learning Pipelines, Model Deployment, Python, SQL, GCP Vertex AI
- Secondary Skills
- Data Quality, Data Governance, Azure OpenAI, Embeddings, Semantic Search
- Experience
- 6 years
- Availability
- Immediate
- Work Mode
- Onsite
- Engagement Type
- W2 - Full Time
Primary Skills
- Machine Learning Pipelines
- Model Deployment
- Python
- SQL
- GCP Vertex AI
Secondary Skills
- Data Quality
- Data Governance
- Azure OpenAI
- Embeddings
- Semantic Search
Talent Summary
Title: AI/ML Engineer
Total Experience: 6 years
Domain Expertise:
AI and Machine Learning - specify the main focus area Core technical stack: Python, SQL, GCP Vertex AI, Docker, Kubernetes - list 3-5 main technologies used Key specializations: Building and deploying production ML systems, Generative AI solutions, LLM-based RAG systems Career focus: Known for developing scalable ML pipelines and integrating AI solutions into enterprise applications Major career milestones or transitions: Transitioned from Data Engineer to Data Scientist and then to AI/ML Engineer Key projects or products delivered: Designed and deployed production machine learning models at FedEx, developed generative AI solutions at JPMorgan Chase
Core Technical Stack:
Python, SQL, GCP Vertex AI, Docker, Kubernetes - list 3-5 main technologies used Key specializations: Building and deploying production ML systems, Generative AI solutions, LLM-based RAG systems Career focus: Known for developing scalable ML pipelines and integrating AI solutions into enterprise applications Major career milestones or transitions: Transitioned from Data Engineer to Data Scientist and then to AI/ML Engineer Key projects or products delivered: Designed and deployed production machine learning models at FedEx, developed generative AI solutions at JPMorgan Chase
Key Specializations:
Building and deploying production ML systems, Generative AI solutions, LLM-based RAG systems Career focus: Known for developing scalable ML pipelines and integrating AI solutions into enterprise applications Major career milestones or transitions: Transitioned from Data Engineer to Data Scientist and then to AI/ML Engineer Key projects or products delivered: Designed and deployed production machine learning models at FedEx, developed generative AI solutions at JPMorgan Chase
Career Focus:
Known for developing scalable ML pipelines and integrating AI solutions into enterprise applications Major career milestones or transitions: Transitioned from Data Engineer to Data Scientist and then to AI/ML Engineer Key projects or products delivered: Designed and deployed production machine learning models at FedEx, developed generative AI solutions at JPMorgan Chase
Work Experience:
AI/ML Engineer — FedEx (2025-05-01 – Present)
Data Scientist — JPMorgan Chase & Co. (2023-01-01 – 2025-04-01)
Data Engineer — Tata Consultancy Services (TCS) (2019-05-01 – 2021-12-01)
Technical Skills:
Machine Learning Pipelines, Model Deployment, Model Monitoring & Observability, LLMs, Prompt Engineering, RAG systems, Lang Chain, Agentic AI, Python, SQL, PySpark, Hive, Shell Scripting, Google Cloud Platform, Microsoft Azure, Docker, Kubernetes, Git, CI/CD, RESTful APIs, Agile, Testing, Change-control, ETL Pipeline Design, Data Warehousing, Apache Spark
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