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Director, MLOps Engineering
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Full-time
- AI ML team comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams.
- 7+ years experience as ML engineer, architect, engineer, lead data scientist in Big Data ecosystem or any similar distributed or public Cloud platform, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
- 4+ years hands-on experience in integrating, evaluating, deploying, operationalizing ML and LLM models at speed and scale, including integration with enterprise applications and APIs. (In addition, ideal candidate should also have hands on experience on training and fine-tuning ML and LLM models at scale).
- Expertise (4+ years) in distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling, as well as public cloud platform & systems (AWS, GCP, Azure).
- Proficiency with Databricks, MLflow, Flink, GPT4All, Kore.ai, or similar AI/ML/ML Ops technologies.
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