Senior AI/ML Engineer

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

Senior AI/ML Engineer

Responsibilities:

• Working with Data Science teams to implement Machine Learning models into production
• Design, delivery GenAI solutions
• Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency
• Design, delivery and management of industrialized processing pipelines
• Defining and implementing best practices in ML models life cycle and ML operations/LLM operations
• Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices
• Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations
• Gathering technical requirements & estimating planned work
• Presenting solutions, concepts and results to internal and external clients
• Creating technical documentation

Requirements:

• At least 5+ years of Data engineering experience with last 3 years experience in building Data processing
• At least 5+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.)
• At least 1+ years of experience with GenAI (ChatGPT, Gemini, RAGs, prompt engineering)
• Practical experience in MLOps/LLMOps tools like AzureML/AzureAI
• Practical experience with Databricks
• Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures
• Good understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCP
• Experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, MLOps
• Practical experience in Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR or similar
• Experience in designing and implementing data pipelines
• Fluency in written and spoken English
• Good communication skills and ability to work in a team and support others
• Taking responsibility for tasks and deliverables and great problem-solving skills and critical thinking
• At least 3+ years of experience in production-ready ML-related code development

Nice to have:

• Experience in designing, programming ML algorithms, and data processing pipelines using Python
• Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps)
• Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes

Offer:

• Private medical care
• Sports card
• Life insurance
• Training & learning opportunities
• Legimi membership