ML Engineer

<h2 class="vacancy-row__title">Project Description</h2> <p>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.</p> <h2 class="vacancy-row__title">Technologies</h2> <ul class="badges"> <li>Python</li> <li>Git, CI/CD practices for ML and data pipelines</li> <li>AWS and/or Azure</li> <li>PyTorch, TensorFlow</li> <li>MLflow</li> <li>LLMs) and NLP tasks</li> <li>Generative AI concepts</li> <li>LangChain/LangGraph, LlamaIndex</li> <li>Qdrant, Pinecone, Weaviate, FAISS or similar</li> <li>RNNs, Transformers</li> <li>Label Studio, CVAT</li> <li>Prometheus, Grafana, DataDog, OpenTelemetry</li> <li>YOLO, SDD</li> <li>SAM2</li> <li>Image Classification</li> </ul> <h2 class="vacancy-row__title">What You'll Do</h2> <ul> <li>Lead the design, development, and deployment of scalable ML services;</li> <li>Architect and implement AI/ML solutions, ensuring model quality, governance, and security;</li> <li>Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);</li> <li>Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;</li> <li>Mentor and guide junior engineers, promoting best practices in ML engineering;</li> <li>Develop and maintain documentation, ML models, and technical standards;</li> <li>Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;</li> <li>Stay up-to-date with emerging trends and technologies in AI/ML field;</li> </ul> <h2 class="vacancy-row__title">Job Requirements</h2> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;</li> <li>5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;</li> <li>Strong proficiency in Python;</li> <li>Experience with cloud data platforms (AWS and/or Azure);</li> <li>Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;</li> <li>Experience with data governance, security, and compliance in cloud environments;</li> <li>Excellent problem-solving, communication, and leadership skills;</li> <li>English: Upper Intermediate or higher;</li> </ul> <h2 class="vacancy-row__title">What Do We Offer</h2> <p>The global benefits package includes:</p> <ul> <li>Technical and non-technical training for professional and personal growth;</li> <li>Internal conferences and meetups to learn from industry experts;</li> <li>Support and mentorship from an experienced employee to help you professional grow and development;</li> <li>Internal startup incubator;</li> <li>Health insurance;</li> <li>English courses;</li> <li>Sports activities to promote a healthy lifestyle;</li> <li>Flexible work options, including remote and hybrid opportunities;</li> <li>Referral program for bringing in new talent;</li> <li>Work anniversary program and additional vacation days.</li> </ul>