MLOps Engineer - RapidMiner/AWS SageMaker

Responsibilities : - Lead the end-to-end implementation of MLOps, overseeing the deployment and management of machine learning models, particularly in the financial and banking domain. - Have experience in working platforms like H2o, Rapidminer, Sagemaker, Llama3, GPT 4.0, Falcon etc. - Manage and mentor a team of MLOps professionals, ensuring efficient collaboration and successful project delivery. - Utilize extensive development experience to guide ML algorithm implementations and optimizations. - Demonstrate expertise in programming languages and ensure AI compliance throughout the MLOps lifecycle. - Experience in ML orchestration tools like Kubeflow, MLFlow etc. - Collaborate with cross-functional teams to understand business needs and translate them into effective MLOps solutions. - Managed implementation around AI/ML regulations, Risk and ensure adherence to industry standards and regulations to mitigate the AI/ML risks including Bias, Drift, Variance etc. Qualifications : - 3-9 years of hands-on experience in software development, with a focus on MLOps implementation. - Proven team management experience, with the ability to lead and mentor a group of MLOps professionals. - Demonstrated expertise in ML algorithm implementation and optimization. - Proficiency in programming languages (Python, R etc.) used in MLOps, with a strong understanding of AI compliance. - End-to-end implementation experience in MLOps, from model development to deployment and monitoring. - Experience in ML orchestration tools like Kubeflow, MLFlow etc. - Advantage with experience on data engineering tools/platforms like Apache Kafka, Trino, Druid. - Knowledge of the financial/banking domain, with an understanding of industry-specific challenges. Preferred Skills : - Familiarity with emerging trends and advancements in MLOps practices. - Have experience in working platforms like H2o, Rapidminer, Sagemaker, Llama3, GPT 4.0, Falcon etc. - Experience in addressing compliance/regulatory concerns (Bias, Drift, Explainability, AI fairness etc.) related to AI/ML specific to the financial industry. Required Skills : - Bachelor's degree in Computer Science or Software Engineering. - Experience in using AWS, MS Azure or GCP services around AI/ML and MLOps. - Advantage with experience on data engineering tools/platforms like Apache Kafka, Trino, Druid, Spark etc. - Preferred to have any associated Cloud, AI/ML Certification. (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 12/23/2024