Ai Ml Engineer

We are hiring for AI/GL engineer with 6-8 years of experience.

Job Location - Pune

Immediate joiners - 30 days

AI/ML Engineer
Job Purpose: To leverage expertise in machine learning operations (ML Ops) to develop and maintain robust, scalable, and efficient ML infrastructure, enhancing a financial crime product and ensuring the seamless deployment and monitoring of ML models. Job Description: As an ML Ops Engineer - Senior Consultant, you will play a crucial role in a project aimed at overhauling and enhancing a financial crime product. This includes upgrading back-end components, data structures, and reporting capabilities. You will be responsible for developing and maintaining the ML infrastructure, ensuring the seamless deployment, monitoring, and management of ML models. This role involves collaborating with cross-functional teams to gather requirements, ensuring data accuracy, and providing actionable insights to support strategic decision-making. Key Responsibilities: • Develop and maintain robust, scalable, and efficient ML infrastructure. • Ensure seamless deployment, monitoring, and management of ML models. • Collaborate with cross-functional teams to gather and analyze requirements. • Ensure data accuracy and integrity across all ML Ops solutions. • Provide actionable insights to support strategic decision-making. • Contribute to the overhaul and enhancement of back-end components, data structures, and reporting capabilities. • Support compliance and regulatory reporting needs. • Troubleshoot and resolve ML Ops-related issues in a timely manner. • Stay updated with the latest trends and best practices in ML Ops. • Mentor junior team members and provide guidance on best practices in ML Ops Skills Required: • Proficiency in ML Ops tools and frameworks (e.g., MLflow, Kubeflow, TensorFlow Extended) • Strong programming skills (e.g., Python, Bash) • Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI) • Excellent analytical and problem-solving abilities • Effective communication and collaboration skills • Attention to detail and commitment to data accuracy Skills Desired: • Experience with cloud platforms (e.g., AWS, Azure, GCP) • Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) • Familiarity with big data technologies (e.g., Hadoop, Spark) • Ability to work in an agile development environment • Experience in the financial crime domain