Hybrid-MLOPs Engineer

You have a great opportunity as an MLOps Engineer with the following responsibilities: With over 5 years of experience in Data Engineering and MLOps, you will be responsible for deploying and managing data science pipelines in production environments. Your strong proficiency in Python programming language, coupled with at least 3 years of exposure in this field, will be key to your success. Experience with Spark/PySpark and other distributed computing frameworks will also be crucial in this role. Your hands-on experience with CI/CD pipelines and automation tools will be essential. You will be expected to deploy a use case in production that leverages Generative AI involving prompt engineering and RAG Framework. Familiarity with Kafka or similar messaging systems is a plus. As a problem-solver, you will need to have strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Attention to detail and effective communication with diverse clients and stakeholders are also important aspects of this role. To qualify for this position, you should have a Bachelor's or Master's degree in computer science, engineering, or a related field. Tier I/II candidates are preferred. If you are ready to take on this exciting opportunity, apply now!,