Senior AI/ ML Engineer

Job Title: Senior AI/ML Engineer (67 Years)Experience: 67 Years Location: Bengaluru Employment Type: Full-TimeJob Summary: We are seeking a Senior AI/ML Engineer with 67 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 Compensation: 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 Job Title: Senior AI/ML Engineer (67 Years)Experience: 67 Years Location: Bengaluru Employment Type: Full-TimeJob Summary: We are seeking a Senior AI/ML Engineer with 67 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 Compensation: 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