Machine Learning Tech Lead

Europe / Cyprus / Czechia / Moldova / Romania / Slovakia / Armenia
Delivery – PL - David Sarkisyan /
Full-time /
Remote
We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal 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 roadmap for 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 multiple main fields of ML: 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 professional growth 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.