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ML Engineer

Georgia; Lithuania

Project Description

Join a dynamic Coherent Solution team focused on expanding Generative AI and Computer Vision capabilities. You’ll contribute to technical sales support, architecture design, and proof-of-concept development.

Technologies

  • Python
  • Git, CI/CD practices for ML and data pipelines
  • AWS and/or Azure
  • PyTorch, TensorFlow
  • MLflow
  • LLMs) and NLP tasks
  • Generative AI concepts
  • LangChain/LangGraph, LlamaIndex
  • Qdrant, Pinecone, Weaviate, FAISS or similar
  • RNNs, Transformers
  • Label Studio, CVAT
  • Prometheus, Grafana, DataDog, OpenTelemetry
  • YOLO, SDD
  • SAM2
  • Image Classification

What You'll Do

  • Lead the design, development, and deployment of scalable ML services;
  • Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
  • Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
  • Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
  • Mentor and guide junior engineers, promoting best practices in ML engineering;
  • Develop and maintain documentation, ML models, and technical standards;
  • Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
  • Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
  • 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
  • Strong proficiency in Python;
  • Experience with cloud data platforms (AWS and/or Azure);
  • Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
  • Experience with data governance, security, and compliance in cloud environments;
  • Excellent problem-solving, communication, and leadership skills;
  • English: Upper Intermediate or higher;

What Do We Offer

The global benefits package includes:

  • Technical and non-technical training for professional and personal growth;
  • Internal conferences and meetups to learn from industry experts;
  • Support and mentorship from an experienced employee to help you professional grow and development;
  • Internal startup incubator;
  • Health insurance;
  • English courses;
  • Sports activities to promote a healthy lifestyle;
  • Flexible work options, including remote and hybrid opportunities;
  • Referral program for bringing in new talent;
  • Work anniversary program and additional vacation days.

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