AI/ML Engineer – MLOps

The team is seeking an experienced AI/ML Engineer with a focus on MLOps and LLMOps to join their innovative team. The ideal candidate will have a strong background in machine learning operations and be adept at operationalizing large language models.

Key Responsibilities:

• Design, build, and maintain ML/LLM pipelines for training, fine-tuning, evaluation, and deployment.
• Operationalize LLM solutions from experimentation to production environments.
• Build and monitor observability for LLM applications, including latency, throughput, hallucinations, drift, and prompt performance.
• Implement RAG workflows, prompt management, and versioning.
• Automate processes to enhance efficiency and reliability in ML operations.

Required Skills & Qualifications:

• Proven experience in MLOps and LLMOps.
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
• Experience with cloud platforms (e.g., AWS, Azure) for deploying ML solutions.
• Knowledge of observability tools and techniques for monitoring ML applications.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.

Experience:

• Minimum of 5 years of relevant experience in AI/ML engineering with a focus on MLOps.

What we offer:

• Opportunity to work on cutting-edge technology in a dynamic environment.
• Collaborative and supportive team culture.
• Professional development opportunities to enhance your skills and career growth.