Jefferies is creating a Technology Innovation Hub in Pune, India, and is looking for a Cloud AI/ML Engineer to build and operate production machine learning infrastructure and pipelines on AWS.

Company: Jefferies

Role: Cloud AI/ML Engineer

Location: Pune, India

Experience:

7+ years in ML engineering, MLOps, data engineering, or software engineering roles
3+ years focused on production ML systems

Key Skills:

AWS ML/AI services: SageMaker, Bedrock, Lambda, EKS, ECR, S3, Step Functions
Python
ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost
MLOps practices
Containerization (Docker)
Kubernetes (EKS)
Infrastructure as Code (Terraform)
CI/CD pipelines
Data engineering: ETL/ELT, feature engineering, data quality, data pipelines

Qualification:

Strong software engineering skills: version control (Git), testing, code review, production-grade coding practices
Excellent problem-solving and troubleshooting skills
Strong communication and collaboration skills

Role Focus:

Design, build, and operate ML infrastructure and platforms on AWS
Implement end-to-end MLOps pipelines
Deploy and serve ML models in production
Build Infrastructure as Code (Terraform) for ML infrastructure
Implement CI/CD pipelines for ML workflows
Establish ML model governance and security controls
Monitor model performance and data drift

Additional responsibilities:

Collaborate with Data Scientists, Data Engineers, and business stakeholders
Troubleshoot complex issues spanning ML models, infrastructure, Kubernetes, AWS services, and data pipelines
Document ML systems, operational procedures, and best practices
Drive adoption of GenAI and agentic AI workflows
Participate in on-call rotation as needed for production ML systems
Conduct post-incident reviews for ML system failures

Nice to have:

AWS Certified Machine Learning – Specialty certification
Experience with Databricks or Snowflake for ML workflows
Familiarity with MLflow, Kubeflow, or similar ML platforms
Background in data science or statistical modeling
Experience with GenAI models (LLMs, embeddings, RAG architectures) and AWS Bedrock
Knowledge of model explainability, fairness, and responsible AI practices
Experience with streaming ML and real-time inference

Other:

Jefferies is an equal employment opportunity employer
Commitment to building a culture that provides opportunities for all employees regardless of differences
Support for a workforce that is reflective of the communities where Jefferies work and live

Cloud AI/ML Engineer

Skills Required

Description