Machine Learning Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, and implement machine learning and Generative AI applications that are production-ready.

• Create and integrate applications powered by Large Language Models (LLMs), intelligent agents, and AI automation workflows.

• Develop scalable backend services and APIs utilizing Python and FastAPI.

• Innovate, assess, and enhance AI systems by leveraging contemporary machine learning frameworks and technologies.

• Design and execute AI/ML pipelines that encompass experimentation, evaluation, deployment, monitoring, and optimization.

• Incorporate foundation models and LLM APIs into live production applications.

• Construct dependable AI systems that can manage intricate, multi-step workflows.

• Deploy and scale machine learning applications using cloud infrastructure and containerized environments.

• Collaborate with engineering and product teams to convert business challenges into effective AI solutions.

• Assess model performance, recognize failure modes, and enhance accuracy, reliability, latency, and cost-effectiveness.

• Contribute to architectural decisions regarding ML systems, APIs, infrastructure, and deployment strategies.

• Assume responsibility for the entire development lifecycle in uncertain environments.

⛳️ Requirements

• 3–5 years of relevant professional experience in Machine Learning, AI Engineering, Software Engineering, or a closely associated field.

• Strong expertise in Python along with experience in building production-grade software.

• In-depth understanding of Large Language Models (LLMs) and Generative AI.

• Practical experience with FastAPI or similar Python-based backend frameworks.

• Proven record of building and deploying AI/ML applications in production settings.

• Solid understanding of machine learning fundamentals, model development, evaluation, and deployment processes.

• Experience with APIs, data pipelines, and scalable backend systems.

• Strong software engineering principles, including testing, debugging, version control, and production deployment.

• Familiarity with Kubernetes and the deployment of containerized applications.

• Experience with Google Cloud Platform (GCP) or similar cloud environments.

• Proficiency in PyTorch or other modern deep learning frameworks.

• Demonstrated ability to advance AI/ML solutions from experimentation or prototype stages to production.

• Preferred notice period of 30–45 days or less.

• Experience as a founding engineer or in a startup environment is preferred.

• Contributions to published research or open-source LLM/agent projects are a significant advantage.

• Exposure to the healthcare or healthcare-AI domain is beneficial but not mandatory.

• A Bachelor's degree in a relevant field is preferred; equivalent practical experience may also be considered.

• Candidates from AI, ML, software engineering, SaaS, technology, research, or other pertinent domains are encouraged to apply.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.