About the RoleWe’re seeking a mid-level AI/ML engineer who has 3–4 years of end-to-end model-development experience and is fluent with AWS services . You’ll join a fast-growing team that ships production-grade ML and GenAI features for global clients. Guide your team.What You’ll DoData & Features: ingest, clean, and engineer structured/unstructured data from S3, RDS, Redshift, DynamoDB, Kinesis, etc. Modeling: build, train, and evaluate classical ML, deep-learning, and GenAI models with Amazon SageMaker, Bedrock, and related SDKs. MLOps: Use standard CI/CD and infrastructure-as-code practices to move models smoothly from development to production. Monitoring & Iteration: track drift/accuracy, run A/B tests, retrain, and tune for cost/performance. Collaboration: translate business problems into ML solutions alongside data engineers, front-end devs, and product managers. Must-have qualifications3–4 years building and deploying AI/ML solutions in production. Hands-on expertise with the AWS AI/ML stack (SageMaker, Bedrock, Comprehend, Rekognition, Glue, Athena…). Strong Python plus ML libraries (scikit-learn, PyTorch or TensorFlow, Hugging Face). Solid grasp of data-engineering concepts (ETL pipelines, data lakes/warehouses). Ability to explain trade-offs to both technical and non-technical stakeholders. How to applyEmail with subject “AI/ML Engineer – ” and include Your résumé or LinkedIn profile.
Job Title
AI/ML Engineer