Senior ML OPS Engineer

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.