AI/ML Architect (ConTech)

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)

Lead the design, development, and deployment of scalable ML services Architect and implement AI/ML solutions centered around LLMs Optimize ML workflows for performance and cost efficiency on cloud platforms Work closely with data scientists, analysts, and business stakeholders Mentor and guide junior engineers Develop and maintain documentation, ML models, and technical standards Monitor, troubleshoot, and resolve issues in production for ML pipelines Stay up-to-date with emerging trends and technologies in AI/ML field