Senior AI/ML Engineer

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

📋 Description

• Spearhead the design and deployment of scalable machine learning systems, encompassing supervised, unsupervised, and LLM-based solutions.

• Convert research and prototypes into systems ready for production.

• Collaborate with stakeholders to pinpoint high-impact AI/ML opportunities and determine the most effective technical strategies.

• Offer technical mentorship and aid in team skill enhancement.

• Construct and manage LLM pipelines, focusing on prompt design, fine-tuning, and evaluation.

• Create RAG-based systems utilizing embeddings, vector stores, and retrieval methodologies.

• Design evaluation frameworks, feedback mechanisms, and datasets to consistently enhance model performance.

• Develop reusable tools to streamline experimentation, deployment, and monitoring processes.

• Oversee the complete ML lifecycle: data pipelines, training, deployment, monitoring, and iterative improvements.

• Set best practices for reproducibility, observability, CI/CD, and model versioning.

• Collaborate with platform/DevOps teams to guarantee reliability and scalability.

• Advocate for responsible AI practices, encompassing governance, fairness, and transparency.

• Lead cross-functional projects spanning data engineering, analytics, and AI/ML.

• Simplify complex ML concepts into clear recommendations for both technical and non-technical audiences.

• Work together with clients and internal teams to strategize and implement AI/ML solutions.

• Contribute to documentation, frameworks, and shared best practices.

• Define and manage intricate AI/ML initiatives aligned with business objectives.

• Align stakeholders and propel execution across various teams.

• Establish clear success metrics and ensure the delivery of high-impact solutions.

⛳️ Requirements

• 5–7 years of experience in ML engineering, AI engineering, or related areas, with a focus on production deployment.

• Proficient programming skills in Python and SQL; familiarity with PyTorch and HuggingFace.

• Experience in developing LLM applications, including RAG, embeddings, and vector search.

• Knowledge of cloud platforms (AWS or Azure; e.g., SageMaker, Bedrock, Azure ML).

• Strong grasp of ML fundamentals: data design, training, evaluation, and experimentation.

• Understanding of LLM alignment techniques (e.g., SFT, DPO, RL).

• Familiarity with MLOps practices: CI/CD, monitoring, retraining, and experiment tracking.

• Proficient in handling complex, multi-source datasets and defining evaluation strategies.

• Strong software engineering principles (testing, modularity, code review).

• Experience in mentoring engineers and steering technical direction.

• Excellent communication skills with both technical and non-technical stakeholders.

🏝️ Benefits

• Competitive salary.

• Comprehensive benefits package.