Senior Member Technical Staff (MTS 3) - Machine learning

Roles and Responsibilities:

- 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

Must-have Skills:
- 4-6 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