OverviewWe are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The idóneo candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.

Responsibilities

Leadership & Management: Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;

drive the roadmapfor machine learning projects aligned with business goals;

coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery

Machine Learning & LLM Expertise: Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;

evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;

stay ahead of advancements in LLMs and apply emerging technologies;

expertise in NLP,Computer Vision, RL, deep learning and classical ML

AWS Cloud Expertise: Architect and manage scalable ML solutions using AWS services (e.G., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);

optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;

ensure best practices in security, monitoring, and compliance within the cloud infrastructure

Technical Execution: Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;





implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;

debug, troubleshoot, and optimize production ML models for performance

Team Development & Communication: Conduct regular code reviews and ensure engineering standards are upheld;

facilitate professionalgrowth and learning for the team through continuous feedback and guidance;

communicate progress, challenges, and solutions to stakeholders and senior leadership

Qualifications

Proven experience with LLMs and NLP frameworks (e.G., Hugging Face, OpenAI, or Anthropic models)

Strong expertise in AWS Cloud Services

Strong experience in ML/AI, including at least 2 years in a leadership role

Hands-on experience with Python, TensorFlow/PyTorch, and model optimization

Familiarity with MLOps tools and best practices

Excellent problem-solving and decision-making abilities

Strong communication skills and the ability to lead cross-functional teams

Passion for mentoring and developing engineers

Compensation Package

Base Salary

USD 8,000/month (B2B, gross)

Annual Performance Bonus

10% of base salary

Sign-In Bonus:

USD 8,000 — paid in two installments: 50% at start (USD 4,000) and 50% upon completion of trial period (USD 4,000)

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Transportation, Logistics, Supply Chain and Storage

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