Middle Machine Learning Engineer

🏫: PPC Energy

👥: Global Digital Solutions

📍: Bucharest

📝: Unlimited period

#YourCareer starts with doing what you like 😊

We are always looking for talented and motivated colleagues to join our team and together, contribute to the creation of a sustainable future, based on inclusion, empathy, respect and equal opportunities.

As a Middle Machine Learning Engineer, you will focus on designing, developing and deploying machine learning models that drive impactful business decisions. You will be responsible for building end-to-end pipelines, ensuring that models are production-ready, scalable, and integrated seamlessly into existing systems. Your work will directly influence key business metrics, driving innovation and operational efficiency.

Together with us, you have the chance to grow everyday, contributing to energy transition, being responsible of:

Designing, building, and deploying machine learning models using Python and frameworks such as TensorFlow, PyTorch, ensuring models are robust, scalable, and optimized for performance.
Utilizing SageMaker's built-in algorithms and tools to streamline workflows
Developing and managing big data processing workflows using Apache Spark on AWS EMR. Optimize data processing tasks to handle large-scale datasets efficiently, enabling fast feature extraction and preprocessing for machine learning models.
Utilizing Amazon Redshift and S3 for data storage, processing, and analysis
Using MLFlow for experiment tracking, model management, and versioning, and ensure a systematic approach to deploying and monitoring models in production.
Utilizing Apache Airflow to schedule and automate data processing tasks and model training workflows.
Collaborating with data engineers to ensure seamless integration of ML models into production environments.

What You’ll Need To Succeed

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
2+ years of experience in machine learning engineering, including demonstrated experience building and deploying machine learning models at scale.
Strong programming expertise in Python and experience with Spark for distributed data processing.
Hands-on experience with AWS services (EMR, SageMaker, Bedrock, Redshift, S3) for end-to-end machine learning pipelines.
Ability to write clean, maintainable, and efficient production-level code, adhering to best practices in software engineering (e.g., version control, testing, CI/CD).
Experience using MLFlow or similar tools for managing the machine learning lifecycle (model tracking, versioning, and governance).
Familiarity with Apache Airflow (or equivalent tools) for managing and automating complex machine learning workflows.
Strong analytical and problem-solving skills.
Strong communication and collaboration skills.
Good English knowledge (upper intermediate level).

What’s In It For You

✔️ Professional growth/ Development

opportunities for professional and personal development
dynamic work environment and different business lines
international work environment
internal mobility programs
courses, coaching sessions, mentoring

What else do you need to know?

Confidentiality of the recruitment process

At PPC, we respect the confidentiality of each application. Only selected candidates will be contacted for an interview, and other applications will be kept in our database for one year maximum.

About PPC

We are leaders in energy in South-Eastern Europe, active in the production, distribution and supply of electricity, as well as developing innovative solutions for a sustainable future. With an installed capacity of 10.7 GW, we provide energy for 8.7 million clients and deliver over 35 TWh annually.

In Romania, PPC became a top player with the acquisition of Enel companies in October 2023. With a history that began in 1950, we are listed on the Athens Stock Exchange and are constantly expanding our vision.

Middle Machine Learning Engineer

Key Skills

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