Data Scientist/ GenAI LLM Engineer. Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information. As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients. Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support. Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution. Research, design, build, and train innovative applications of LLMs to solve complex real-world problems. Provide technical guidance to clients adopting LLM technologies. Required Qualifications: Bachelors Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields Experience in AI/ML technologies and software engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Schell scripting, 1+ years of experience building and maintaining scalable API solution 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database 2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders. Desired Qualifications: M.sc. or Phd. in corresponding fields Experience with Java, Java Script or Scala, 2+ years of experience with Snowflake or Databricks Deep knowledge of a specific domain or industry, with a focus on NLP/LLM In depth understanding of Responsible AI standards and protocols Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development

Skill Area Requirements Programming & Scripting DotNet, Python, Bash/PowerShell, REST API development IoT Protocols OPC UA, MQTT, Modbus TCP Data Engineering Time-series databases, ETL pipelines, metadata mapping DevOps Docker, Kubernetes, CI/CD pipelines, edge orchestration Visualization Experience with dashboarding tools (Grafana, Kibana, or custom) Cloud Platforms Exposure to Azure/AWS/GCP IoT & data services is a plus Soft Skills Agile collaboration, documentation, debugging and testing

Skills: 5+ years Python development in SaaS/B2B, backend or fullstack. Strong Linux/Unix skills, shell scripting, and SaaS integration via APIs (REST, GraphQL). Expert in troubleshooting complex technical issues during onboarding/integration. Excellent communication and customer-facing experience. Preferred: cloud platforms (AWS/Azure/GCP), CI/CD, Git, and enterprise auth protocols (SSO, OAuth, LDAP).