ML/AI Engineer - GCP, Azure

Tasks/ 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

What We're Looking For

Must Have

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 3+ years of experience in production-ready ML-related code development

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

Good communication skills

Ability to work in a team and support others

Taking responsibility for tasks and deliverables

Great problem-solving skills and critical thinking

Fluency in written and spoken English.

What Will Set You Apart

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.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

We offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.

“Office as an option” model. You can choose to work remotely or in the office, depending on your location.

Flexibility regarding working hours and your preferred form of contract

Comprehensive online onboarding program with a “Buddy” from day 1.

Cooperation with top-tier engineers and experts.

Unlimited access to the Udemy learning platform from day 1.

Certificate training programs. Lingarians earn 500+ technology certificates yearly.

Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

Internal Gallup Certified Strengths Coach to support your growth.

Grow as we grow as a company. 76% of our managers are internal promotions.

A diverse, inclusive, and values-driven community.

Autonomy to choose the way you work. We trust your ideas.

Create our community together. Refer your friends to receive bonus

es.

Activities to support your well-being and health.

Plenty of opportunities to donate to charities and support the environment.

Modern office equipment. Purchased for you or available to borrow, depending on your location.