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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and test machine learning models on Azure platform to address complex business challenges.
Research and implement state-of-the-art AI/ML techniques including zero-shot/few-shot learning, embedding methods, and fine-tuning large language models.
Develop reusable tools to streamline ML pipelines and manage project stakeholder communications and shifting priorities.
Minimum Requirements
5+ years of professional experience in Machine Learning with strong Python production coding skills.
Experience with ML frameworks (TensorFlow, PyTorch) and deploying scalable ML/NLP systems.
Hands-on expertise in Generative AI, LLM fine-tuning, Agentic AI, and distributed low-latency architectures.
Experience with containerization (Docker, Kubernetes) and CI tools like Jenkins.
Ideal Candidate Profile
Experienced in end-to-end AI/ML system design with applied NLP knowledge including text pre-processing and encoder-decoder architectures.
Capable of balancing technical feasibility and system architecture decisions in fast-paced environments.
Comfortable working on cloud platforms (Azure) and collaborating with data science teams to deliver production-grade AI solutions.
