Principal Engineer, Machine Learning

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

📋 Description

• Comprehending the client’s business use cases and technical specifications, and translating them into a technical design that effectively fulfills the requirements.

• Aligning decisions with requirements and conveying this information to developers.

• Exploring various solutions and narrowing down the best option that satisfies the client’s needs.

• Establishing guidelines and benchmarks for non-functional requirements (NFR) during project execution.

• Drafting and reviewing design documents that detail the overall architecture, framework, and high-level design of the application for developers.

• Evaluating architecture and design from multiple perspectives, including extensibility, scalability, security, design patterns, user experience, and NFRs, ensuring adherence to best practices.

• Creating and designing a comprehensive solution for specified functional and non-functional requirements, while defining technologies, patterns, and frameworks to implement it.

• Grasping and relating technology integration scenarios and applying these insights to projects.

• Addressing issues that arise during code reviews through thorough analysis of root causes, and being able to justify the decisions made.

• Conducting proofs of concept (POCs) to confirm that proposed designs and technologies meet the requirements.

⛳️ Requirements

• Total experience: 11+ years.

• Extensive experience in machine learning, with a proven history of delivering impactful solutions in natural language processing (NLP), machine vision, and artificial intelligence (AI).

• Required experience in AI/ML architecture design and implementation in data/big data using cloud infrastructure.

• Proficient in programming languages such as Python or R, and experienced with data manipulation libraries (e.g., Pandas, NumPy).

• Strong understanding of statistical concepts and techniques, with experience applying them to real-world scenarios.

• Advanced programming skills in Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, and machine learning libraries like scikit-learn.

• Experience with SQL is essential.

• Familiarity with MLOps and at least one deployment using technologies such as MLflow, Kubeflow, Docker, Kubernetes, or model deployment pipelines.

• Experience in designing, developing, and deploying AI agents as part of multi-agent systems for autonomous or semi-autonomous decision-making and agent orchestration.

• Strong understanding of large language models (LLMs) and foundational models, with expertise in designing and constructing prompts for prompt development and templates.

• Hands-on experience with generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), with the ability to apply these methods to real-world issues.

• Outstanding problem-solving abilities, characterized by a creative and analytical mindset.

• Excellent communication and teamwork skills, capable of working effectively within a team environment and engaging with stakeholders at all levels.

• Knowledge of AI ethics and responsible AI practices is preferred.

🏝️ Benefits

• Employees have the option to work remotely.