Senior Machine Learning Engineer

SoftServe; Poland; On-site; PLN 180,000 - 300,000; Full time

Job summary

SoftServe’s AI and Data Science Center of Excellence seeks an experienced ML engineer to design and productionize end-to-end ML systems, from data pipelines to agentic multi-agent workflows, across NLP, RAG, and multimodal AI projects.

You will collaborate with data scientists, engineers, and clients to translate business requirements into production-ready ML solutions, building scalable pipelines and robust deployment processes.

Qualifications

• Master's degree in Computer Science or a related field.
• 3+ years building and deploying real-world ML in production.
• Strong Python proficiency across the data science ecosystem.
• Experience with LLMOps, AgentOps and experiment tracking tools.
• CI/CD/CT for ML and orchestration tools like Databricks, Kubeflow, Airflow.
• Experience with cloud AI/ML services on AWS, Azure, or GCP.
• Familiarity with LangGraph or CrewAI frameworks.
• Upper-intermediate+ English, spoken and written.

Responsibilities

• Design and build end-to-end ML pipelines from data ingestion to deployment.
• Develop and maintain LLMOps pipelines for observability and prompt versioning.
• Collaborate with data scientists, engineers and clients to deliver production-ready ML solutions for NLP, RAG and multimodal models.
• Build and orchestrate agentic and multi-agent workflows using LangGraph or CrewAI.
• Manage ML infrastructure and CI/CD/CT pipelines across cloud environments (AWS/Azure/GCP).
• Package ML services into real applications with reliable deployment and monitoring.
• Operate workflow tools like Databricks Jobs, Kubeflow or Airflow to automate pipelines.

Skills

Python

English proficiency

Cloud knowledge

CI/CD

ML tooling

LLMOps

AgentOps

Education

Master's degree in Computer Science or related field

Tools

MLflow

Langfuse

LangSmith

Weights & Biases

Databricks Workflows

Kubeflow

Airflow

LangGraph

CrewAI

Job description

About The Role

In this role you will engineer and productionize end-to-end ML systems — from data pipelines and LLMOps infrastructure to agentic multi‑agent workflows — as part of SoftServe's AI and Data Science Center of Excellence, a community of over 170 AI/ML experts. You'll work at the intersection of applied research and real-world delivery, collaborating with data scientists, engineers, and clients to bring cutting‑edge NLP, RAG, and multimodal AI solutions to production scale.

About The Role

In this role you will engineer and productionize end-to-end ML systems — from data pipelines and LLMOps infrastructure to agentic multi‑agent workflows — as part of SoftServe's AI and Data Science Center of Excellence, a community of over 170 AI/ML experts. You'll work at the intersection of applied research and real-world delivery, collaborating with data scientists, engineers, and clients to bring cutting‑edge NLP, RAG, and multimodal AI solutions to production scale.

Responsibilities

• Design and implement end-to-end ML pipelines — from data ingestion and feature engineering to model training, optimization, and production deployment
• Build and maintain LLMOps pipelines using MLflow, Langfuse, LangSmith, or Weights & Biases to enable model observability, reproducibility, and prompt versioning
• Collaborate with Data Scientists, Engineers, and clients to translate business requirements into production-ready ML solutions for NLP, RAG systems, and multimodal models
• Develop and orchestrate agentic systems and multi-agent workflows using frameworks such as LangGraph or CrewAI, supporting autonomous AI applications at scale
• Enhance and manage ML infrastructure including CI/CD/CT pipelines, cloud environments on AWS, Azure, or GCP, data stores, monitoring, and security
• Integrate and package ML services into real applications, ensuring they meet reliability and maintainability standards for production use
• Operate workflow orchestration tools such as Databricks Jobs/Workflows, Kubeflow, or Airflow to automate and monitor ML pipeline execution

Requirements

• Minimum 3 years of hands‑on experience building and deploying real‑world ML solutions in production
• Master's degree in Computer Science or a related field
• Strong Python proficiency across the core data science and ML ecosystem, including model development, packaging, and service integration
• Advanced experience with LLMOps, AgentOps, and experiment tracking tools such as MLflow, Langfuse, LangSmith, and Weights & Biases
• Solid knowledge of CI/CD/CT practices for ML systems and workflow orchestration tools such as Databricks Workflows, Kubeflow, or Airflow
• Proven experience with cloud‑based AI/ML services on AWS, Azure, or GCP
• Working knowledge of agentic AI frameworks, including LangGraph, CrewAI, or similar tools for building autonomous and multi‑agent systems
• 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.