AI/ML Architect

• Lead the design, development, and deployment of scalable ML services
• Architect and implement AI/ML solutions centered around LLMs, leveraging technologies like RAG, summarization, sentiment analysis, and reasoning
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP), utilizing infrastructure-as-code and monitoring tools
• Work closely with data scientists, analysts, and business stakeholders to translate requirements into technical solutions
• Mentor and guide junior engineers, fostering a culture of best practices and knowledge sharing
• 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

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• 8+ years of experience in ML engineering, with at least 1 year of hands-on experience working with LLMs
• Strong programming skills (Python), including production-level code development and API/service design
• Hands-on experience with AWS (S3, EC2, Lambda, ECS, ECR, SageMaker, Bedrock, IAM, CloudWatch) and/or Azure (Blob Storage, Data Factory, Azure ML, Azure OpenAI)
• Strong proficiency in PyTorch, TensorFlow, and experience with MLflow for experiment tracking and model registry
• Experience with LangChain/LangGraph, LlamaIndex and/or similar frameworks
• Familiarity with Vector Databases such as Qdrant, PosgreSQL (pgvector), Pinecone, Weaviate, or FAISS
• Experience with Git, CI/CD practices for ML and data pipelines
• Familiarity with data governance, security, and compliance in cloud environments
• Level of English - from B2 (spoken/written)

Experience with Object detection models (YOLO, SDD) and Segmentation models (SAM2)

• 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