Senior AI/ML Engineer, AI Solutions

Job Description

Perform performance evaluations of the LLM models, ImplementLLMOpsprocesses to run the end-to-end lifecycle of LLMs Deploy,monitor, andmaintainMachine Learning models and build AI Products in production environments, ensuringoptimalperformance and reliability. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporatingstate-of-the-artmachine learning techniques, tools, and frameworks into the platform. Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Mentor team members,providetechnical guidance, and foster a culture of collaboration, innovation, and continuous learning. What do you need to bring Qualifications Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technicalexpertisein one or more of the above-mentioned areas or equivalent practical experience. Strong background in deep learning techniques, particularly in NLP and Vision Expertisein applying LLMs, prompt design, and fine-tuning methods Strongproficiencyin machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Expert in multiple Programming/scripting languages,i.e.,Python, Java, Scala, SQL, NoSQL (like HBase, Redis, Aerospike) Good understanding of distributed systems, data streaming, complex event Processing,NoSQLsolutions for creating and managing data integration pipelines for batch and Real Time data needs. Expertisein machine learning libraries/frameworks such as TensorFlow,PyTorch, scikit-learn,etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Stay up to date with the latest advancements in AI/ML technology and industry trends andleveragethis knowledge to enhance the platforms capabilities Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Expertisein Big Data technologies such as Hadoop, Spark, HBase, Kafka. Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph Experience developing Gen AI applications/services for sophisticated business use cases andlarge amountsof unstructured data. Strong background in MLOps and experimentation frameworks