Senior AI/ML Engineer, AI Solutions

• Perform performance evaluations of the LLM models, Implement LLMOps processes to run the end-to-end lifecycle of LLMs
• Deploy, monitor , and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance 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 incorporating state-of-the-art machine 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, provide technical 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 technical expertise in one or more of the above-mentioned areas or equivalent practical experience.
• Strong background in deep learning techniques, particularly in NLP and Vision
• Expertise in applying LLMs, prompt design, and fine-tuning methods
• Strong proficiency in 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, NoSQL s olutions for creating and managing data integration pipelines for batch and Real Time data needs.
• Expertise in 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 and leverage this 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
• Expertise in 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 and large amounts of unstructured data.
• Strong background in MLOps and experimentation frameworks