AI/ML Engineer

This is a fully remote position, open to applicants in United States, +1 more state.

📋 Description

• Work collaboratively with cross-functional teams to design, develop, and launch scalable software products that integrate machine learning and AI models.

• Create reusable Python packages to facilitate the implementation of ML/AI algorithms and data-processing workflows.

• Take part in the design of AI systems, focusing on components for retrieval-augmented generation (RAG), LLM integration, and agent-based workflows.

• Develop frameworks for agentic evaluation and monitoring to assess model reasoning, consistency, and fairness.

• Analyze database designs and craft optimized queries to ensure efficient data processing and retrieval.

• Decompose complex MLE and AI tasks into manageable user and technical stories, guaranteeing efficient and effective execution.

• Maintain high-quality test coverage of ML code and engage in peer reviews to offer constructive feedback.

• Keep abreast of the latest developments in machine learning engineering, generative AI, and AI system orchestration, integrating relevant practices into our workflows.

• Contribute to continuous delivery and Agile development methodologies, following best practices in ML and AI engineering.

⛳️ Requirements

• Master’s degree in computer science, software engineering, data science, or a related discipline (PhD preferred).

• At least 7 years of professional experience in designing, developing, and deploying machine learning software products, both independently and collaboratively.

• Strong programming expertise in Python, with a history of developing reusable packages and automation tools.

• Experience with Databricks for scalable data processing and collaborative analytics.

• Comprehensive understanding of machine learning systems design concepts, including model lifecycle management, MLOps, and scalable inference.

• Practical experience with cloud infrastructure (Azure, AWS, or GCP), containerization, and CI/CD pipelines.

• Proficiency in distributed computing frameworks, machine learning libraries, and both relational and non-relational databases.

• Familiarity with generative AI tools and frameworks (e.g., AutoGen, Hugging Face, LangChain, LangGraph, LlamaIndex) and their integration into enterprise workflows.

• Experience in developing or assessing agentic AI systems, AI orchestration, or AI-assisted decision-making workflows is advantageous.

• Exceptional problem-solving and analytical abilities, with a talent for breaking down complex tasks into actionable steps.

• Strong communication and collaboration skills, demonstrated through effective work in cross-functional teams.

• Knowledge or experience in the utility, power, or energy sectors is beneficial.

• In-depth knowledge of the Databricks tech stack for AI and data engineering is a plus.

🏝️ Benefits

• Comprehensive insurance options, including medical, dental, and vision plans; company-funded life insurance; company-paid long- and short-term disability insurance; medical and dependent-care flexible spending accounts, and paid parental leave.

• A flexible time off (FTO) policy that allows for paid time away from work, subject to manager approval, while ensuring business needs, workload commitments, and adequate coverage are maintained.

• A 401(k)/RRSP plan featuring a 3% employer match.