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.
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
