Job Description

• Lead the design, development, and implementation of AI/ML-based solutions across various product lines.

• Collaborate with product managers, data engineers, and architects to translate business requirements into data science problems and solutions.

• Take ownership of end-to-end AI/ML modules, from data processing to model development, testing, and deployment.

• Provide technical leadership to a team of data scientists, ensuring high-quality outputs and adherence to best practices.

• Conduct cutting-edge research and capability building across the latest Machine Learning, Deep Learning, and AI technologies.

• Prepare technical documentation, including high-level and low-level design, requirement specifications, and white papers.

• Evaluate and fine-tune models, ensuring they meet performance requirements and deliver insights that drive product improvements.

• Production exposure to Large Language Models (LLM) and experience in implementing and optimizing LLM-based solutions.

Qualifications

• 8+ years of experience in Data Science and AI/ML product development, with a proven track record of leading technical teams.

• Expertise in machine learning algorithms, Deep Learning models, Natural Language Processing, and Anomaly Detection.

• Strong understanding of model lifecycle management, including model building, evaluation, and optimization.

• Hands-on experience with Python and proficiency with frameworks like TensorFlow, Keras, PyTorch, etc.

• Solid understanding of SQL, NoSQL databases, and data modeling with ElasticSearch experience.

• Ability to manage multiple projects simultaneously in a fast-paced, agile environment.

• Excellent problem-solving skills and communication abilities, particularly in documenting and presenting technical concepts.

• Familiarity with Big Data frameworks such as Spark, Storm, Databricks, and Kafka.

• Experience with container technologies like Docker and orchestration tools like Kubernetes, ECS, or EKS.

Additional Information

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