Senior Machine Learning Engineer

Overview

Job Description

Responsibilities

• - Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines
• - Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models
• - Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance
• - Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms
• - Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows

Required Skills

• - 5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production
• - Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads
• - Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development
• - Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications
• - Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads
• - Familiarity with Kubernetes and other container management tools
• - Ability to write well-structured, organized code and automated unit/E2E tests
• - Comfortable with polyglot persistence models (SQL vs. NoSQL)
• - Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management
• - Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges
• - Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers

Benefits

• - Fair and competitive pay
• - Bonuses and equity included in all offers
• - Compensation adjusted to reflect local market conditions and cost-of-living differentials
• - Additional details on total compensation and benefits will be discussed during the hiring process