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Selected role

Middle ML Engineer

SoftServe UA

Senior Full-time

About the role

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

Requirements

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

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

#LI-Remote

Role Summary

Location

Ukraine

Work type

Remote/Office

Direction

Engineering & Technology

Subdirection

Data Science

Tech level

Middle

Personal recruiter:

Olesia Lototska

[email protected]

About us

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.

Compensation & 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.

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