Degree in Computer Science, Engineering, Mathematics, or equivalent experience
5+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.)
Experience designing deploying, and scaling Generative AI and machine learning systems in production
Experience with managing stakeholders and collaborating with customers
Strong written and verbal communication skills required
Ability to manage an individual workstream independently
Expertise in software engineering concepts and best practices
Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc
Experience with deep learning frameworks like TensorFlow or PyTorch
Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing
Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions)
Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles)
Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling
Experience with generative AI and LLMs, such as LLamaIndex and LangChain
Consulting Experience
Deep expertise in Generative AI and Large Language Models

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningfeature engineeringGenerative AIPythonSKLearnXGBoostTensorFlowPyTorchCI/CD

Soft Skills

communicationstakeholder managementteam leadershipindependent workclient relationship management