Machine Learning Engineer

🏫: PPC Romania

👥: 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 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:

• Building, training, and deploying machine learning models efficiently using the managed infrastructure and automation capabilities of AWS SageMaker.
• Utilizing Amazon Redshift and S3 for scalable data storage, processing, and comprehensive analysis.
• Leveraging Apache Spark and Airflow for large-scale data processing and pipeline orchestration, ensuring smooth data workflows.
• Managing and optimizing machine learning workloads on Amazon EMR to improve performance and resource utilization.
• Collaborating with data engineers to integrate ML models seamlessly into production environments.
• Implementing best practices for model versioning, monitoring, and continuous deployment, ensuring models remain effective and up to date throughout their lifecycle.

What you’ll need to succeed:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 5+ 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 (e.g., NumPy, Pandas, Scikit-learn)
• Hands-on experience with AWS services (EMR, SageMaker, 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

💸 Rewards

• medical subscription/medical insurance
• meal vouchers, bonuses (Energetician's Day, Easter, Christmas, etc.)
• 13th salary
• reimbursement of part of the holiday ticket
• extra free days (Birthday, Energetician's Day, etc.)
• special offers from our collaborators
• referral employee program
• Bookster

💻Way of working

• hybrid way of working (office & smartworking)
• short Friday

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.

Our commitment to diversity and inclusion

We believe that energy comes from people. At PPC, every voice counts, and diversity is the engine of our innovation. Regardless of age, ethnicity, gender or disability, it offers an inclusive environment where you can grow and perform.

🔹 #EnergyForAll – for your career, for the future, for everyone