ml engineer in AI applications

The team develops AI applications and machine learning solutions that address business needs and power next-generation AI applications.

• Design, implement, and optimize machine learning and AI models for classification, regression, clustering, and agent tuning
• Experiment with methods, frameworks, and architectures to improve model performance and efficiency
• Develop scalable ML pipelines for training, validation, and inference
• Deploy ML models to cloud or on-premises production environments, ensuring reliability, low latency, and scalability
• Apply MLOps practices, including CI/CD, monitoring, automated retraining, and model registry management
• Partner with data engineering teams to source, clean, and transform datasets for model training and inference
• Ensure data quality, perform feature engineering, and support real-time data integration
• Align ML solutions with business goals in collaboration with data scientists, software engineers, and product managers
• Communicate technical results to technical and non-technical stakeholders
• Provide technical guidance and mentorship to junior ML engineers and data scientists
• Contribute to team best practices, code reviews, and architectural decisions

• 5+ Years of professional experience in machine learning, AI engineering, or related fields
• Master’s degree in Computer Science, Machine Learning, Physics, or a related field
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Strong understanding of algorithms, statistics, probability, and linear algebra
• Hands-on experience with data pipelines and ETL tools such as Spark, AWS Lambda, and AWS Glue
• Practical experience with cloud platforms, preferably AWS
• Solid software engineering fundamentals, including version control (Git), testing, and design patterns
• Demonstrated success deploying ML models into production at scale
• Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI
• Excellent analytical, problem-solving, and communication skills
• Ability to work autonomously and collaboratively in a fast-paced, cross-functional team
• Будет плюсом: PhD, experience with agentic frameworks like LangChain or LangGraph

• Условий в вакансии нет