Senior Member Technical Staff (MTS 3) - Machine learning
On-siteBengaluru, Karnataka, India
Job Summary
Lead the design, development, and implementation of AI/ML-based solutions across product lines, taking ownership of end-to-end modules from data processing to model deployment. Collaborate with product managers and architects to translate business requirements into data science problems, providing technical leadership to a team of data scientists. Conduct cutting-edge research in Machine Learning, Deep Learning, and AI technologies while evaluating and fine-tuning models to meet performance requirements. Prepare comprehensive technical documentation including high-level designs, requirement specifications, and white papers. Gain production exposure to Large Language Models and implement optimized LLM-based solutions. Manage multiple projects simultaneously in an agile environment using Python, TensorFlow, PyTorch, and big data frameworks like Spark and Kafka.
Required Qualifications
- 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
- Production exposure to Large Language Models (LLM) and experience in implementing and optimizing LLM-based solutions
Desired Qualifications
- Experience with cloud-based machine learning platforms like AWS, Azure, or Google Cloud
- Experience with tools like MLFlow, KubeFlow, or similar for model tracking and orchestration
- Exposure to NoSQL databases such as MongoDB, Cassandra, Redis, and Cosmos DB, and familiarity with indexing mechanisms
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