Senior machine learning

Trigent Software Private Limited

Job Location:

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

The role is for a Machine Learning Engineer (3-5 years experience) focused on designing developing deploying and maintaining ML and GenAI solutions particularly on AWS Cloud. The candidate will work on real-time and batch ML data pipelines APIs and AI applications ensuring efficient cloud operations performance optimization and adherence to strong engineering and DevOps practices. Collaboration with onshore/offshore teams and agile methodologies are key to enhancing and supporting enterprise-level AI infrastructure. Primary Skills (Must-Have): Machine Learning & GenAI: Model development and deployment experience. Exposure to GenAI LLMOps and Prompt Engineering. Programming & Tooling: Proficiency in Python and SQL. Experience with MLOps and DevOps practices (CI/CD pipelines). Use of GitHub VS Code Apache Airflow. Cloud & Data Engineering: Hands-on experience with AWS services (SageMaker Lambda EC2 S3 DynamoDB CloudFormation Bedrock OpenSearch). Data preprocessing feature engineering. Familiarity with Snowflake and Oracle databases Application Design & Optimization: Ability to design and build efficient AI applications and data pipelines. Manage API rate limits Lambda resource tuning and load balancing. Troubleshoot and optimize cloud-based ML/GenAI applications. Engineering Best Practices: Strong focus on testing QA deployment automation. Experience with Agile methodologies. Communication & Collaboration: Strong communication and presentation skills. Experience working with distributed teams (onshore/offshore). Secondary Skills (Desired): Big Data tools: EMR Apache Spark. Data visualization: Streamlit BI dashboards. Real-time data processing experience. ML Frameworks: TensorFlow PyTorch Scikit-learn. Knowledge of insurance domain (plus). Passion for continuous learning and problem-solving. Strong analytical mindset.