Role overview
In this role, you will build and maintain end-to-end ML systems — from data pipelines and model training to LLMOps tooling and agentic workflows — as part of SoftServe’s AI and Data Science Center of Excellence. Working alongside 170 experienced ML engineers, data scientists, and architects, you’ll contribute to cutting-edge NLP, RAG, and multimodal AI projects that deliver real impact for clients.
Responsibilities
- Implement and maintain end-to-end ML pipelines supporting data ingestion, feature engineering, model training, and deployment into production environments
- Build and support LLMOps pipelines using tools such as MLflow, Langfuse, or LangSmith, contributing to model observability, reproducibility, and prompt versioning across projects
- Collaborate with Data Scientists, Senior Engineers, and stakeholders to understand requirements and contribute to production-ready ML solutions for NLP, RAG systems, and multimodal models
- Contribute to the development of agentic systems and multi-agent workflows using frameworks such as LangGraph or CrewAI, supporting autonomous AI applications
- Support and improve ML infrastructure tasks, including CI/CD pipelines, cloud environments on AWS, Azure, or GCP, data stores, and monitoring tooling
- Integrate and package ML services into real applications, writing clean, maintainable code that meets engineering and quality standards
- Configure and maintain workflow orchestration pipelines using tools such as Kubeflow, Airflow, or Databricks Workflows
Basic qualifications
- At least 2 relevant years of hands-on experience building and deploying ML solutions, with exposure to Cloud production environments
- Solid Python proficiency across the data science and ML ecosystem, including model development and basic service integration
- Familiarity with LLMOps and experiment tracking tools such as MLflow, Langfuse, or LangSmith
- Understanding of CI/CD practices for ML systems and workflow orchestration tools such as Kubeflow, Airflow, or Databricks Workflows
- Experience with cloud-based AI/ML services on AWS, Azure, or GCP
- Basic knowledge of agentic AI concepts and frameworks, such as LangGraph or CrewAI
- Master’s degree in Computer Science or a related field
- Upper-intermediate or higher proficiency in English, both spoken and written
Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.
About the company
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Flexible work model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.