erience.

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

Senior AI/ML Engineer, AI Solutions