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Senior ML OPS Engineer
New
AI/ML

Senior ML OPS Engineer

Type of work
Full-time
Experience
Senior
Employment Type
Permanent, B2B
Operating mode
Remote
Transition Technologies MS

Transition Technologies MS

We are a rapidly growing IT company with global reach. We deal with IT outsourcing and implementation projects in flexible cooperation models, providing access to competence and experts in technologies from mainstream to cloud. TTMS' greatest strength is its skilled professionals, so people are at the heart of our organisational culture.

Tech stack

    AI/ML

    advanced

    LLM

    advanced

    Cloud

    advanced

    Python

    regular

    CI/CD

    regular

Job description

Your responsibilities:

  • Generative AI Application Development: Collaborate with Agile teams to integrate LLMs and classical AI techniques into applications, focusing on user experience and real-time performance.
  • Algorithm Development: Design, optimize, and fine-tune LLM-based algorithms for use cases like text generation, summarization, information extraction, chatbots, code generation, and sentiment analysis.
  • LLM Fine-Tuning: Customize and fine-tune pre-trained LLMs using prompt engineering, transfer learning, and few-shot techniques.
  • End-to-End Pipeline Development: Build and maintain production-ready ML pipelines, automate workflows, and follow MLOps practices.
  • Performance Optimization: Optimize model inference speed, reduce latency, and manage resource usage for cloud-based services.
  • Scalable Model Deployment: Collaborate on cloud-based (AWS, Azure) scalable model deployments, ensuring high availability.
  • Monitoring and Maintenance: Implement continuous monitoring, feedback loops, and address model drift, biases, and accuracy issues.
  • Software Development: Follow best practices like writing unit tests, configuring CI/CD pipelines, setting up APIs, and using containerization.


We are looking for you, if you have:

  • Experience: 3+ years in AI/ML engineering, with expertise in classical machine learning and LLM-based applications.
  • Technical Skills: Proficient in Python, experience with deep learning frameworks (PyTorch/TensorFlow), Transformer architectures, and LLM frameworks (LangChain).
  • MLOps Knowledge: Familiarity with MLOps tools, CI/CD, containerization, orchestration, and Infrastructure as Code.
  • Deployment: Experience in cloud platforms (AWS, Azure), deploying AI models, and working with services like Azure OpenAI, Amazon Bedrock, SageMaker.
  • Data Engineering: Strong experience with data cleaning, feature engineering, and handling structured/unstructured data.
  • Model Evaluation: Proficiency in evaluating classical ML models and LLMs using relevant metrics.
  • Optimization: Experience optimizing models for performance and resource efficiency.


We offer:

  • Participation in interesting and demanding projects
  • Flexible working hours
  • A great, non-corporate atmosphere
  • Stable employment conditions (contract of employment or B2B contract)
  • Opportunities for development and promotion
  • Attractive package of benefits
  • Remote work


We reserve the right to contact the selected candidates.


Undisclosed Salary

Permanent, B2B