Job Title: Senior AI/ML Engineer (6–7 Years)Experience: 6–7 Years
Location: Bengaluru
Employment Type: Full-TimeJob Summary:
We are seeking a Senior AI/ML Engineer with 6–7 years of experience in designing, developing, deploying, and managing production-grade AI/ML solutions on AWS. The ideal candidate should have strong expertise in Python, PyTorch, MLOps, and cloud-native machine learning architectures, with hands-on experience in building scalable AI platforms.Required Skills:
- Strong Python programming and software engineering skills
- Hands-on experience with PyTorch for deep learning model development
- MLOps expertise using MLflow, SageMaker, SageMaker Pipelines, and model lifecycle management
- Experience with FastAPI for AI model serving
- Strong knowledge of AWS services (S3, IAM, RDS PostgreSQL, CloudWatch, SageMaker)
- Experience with Docker, Terraform, Git, and GitHub Actions (CI/CD)
- Good understanding of PostgreSQL; knowledge of pgvector is an advantage
- Experience designing REST APIs and deploying containerized applications
- Knowledge of monitoring, model versioning, drift detection, retraining, and production deployment strategies
- Familiarity with Spark, Flink, or Kinesis is a plus for large-scale data processing
- Strong understanding of software design, system architecture, security, and AWS Well-Architected principles
Responsibilities:
- Design and build production-grade AI/ML solutions on AWS
- Develop, train, optimize, and deploy deep learning models
- Build and maintain end-to-end MLOps pipelines
- Develop scalable inference APIs using FastAPI
- Implement CI/CD, infrastructure as code, monitoring, and model governance
- Collaborate with cross-functional teams to deliver secure and scalable AI solutions
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field
- AWS certification (preferred)
- Excellent problem-solving, communication, and mentoring skills
Pay: ₹500,000.00 - ₹1,500,000.00 per year
Benefits:
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Work Location: In person
