Middle Machine Learning Engineer

: PPC Energy Services

: Digital Solutions

: Bucharest

: indefinite period

#WePowerYourTalent

The energy transition happens through people who see their role beyond tasks and understand that what they do has a real impact.

At PPC, we contribute every day to a safer and cleaner energy system, from the networks that connect communities, to renewable energy that transforms the energy mix, or solutions that make electric mobility accessible.

Regardless of the role, our contribution is reflected every day in the communities we serve, in the customers who choose us, and in an energy system that is constantly evolving. We are present across the entire energy value chain and we are looking for motivated people to join us.

If you are curious to understand things in depth, responsible for seeing them through to completion, and open to working in a continuously changing environment, then your place is with us.

What you will do

In this role, you will have the opportunity to contribute to a purpose greater than daily tasks: making energy safer, more sustainable, and closer to people.

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, having the following responsibilities:

• Design, build, and deploy machine learning models using Python and frameworks such as TensorFlow, PyTorch, ensuring models are robust, scalable, and optimized for performance.

• Utilize SageMaker's built-in algorithms and tools to streamline workflows

• Develop and manage 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.

• Utilize Amazon Redshift and S3 for data storage, processing, and analysis

• Use MLFlow for experiment tracking, model management, and versioning, and ensure a systematic approach to deploying and monitoring models in production.

• Utilize Apache Airflow to schedule and automate data processing tasks and model training workflows.

• Collaborate with data engineers to ensure seamless integration of ML models into production environments.

We want you to join our journey with:

• 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, 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 we offer you

A place where you grow, not just work

. Clear professional and personal development paths

. Access to courses, mentoring, and coaching programs

. Role-relevant certifications

. Real internal mobility opportunities within the PPC Romania Group

A fair package that reflects your contribution

. Fixed annual bonus (equivalent of one salary) + performance bonus

. Meal vouchers worth 45 RON/day and bonuses (Energy Day, Easter, Christmas, etc.)

. Partial reimbursement of vacation costs (2,400 RON)

. Additional vacation days + extra days off (birthday, Energy Day)

. Pillar III pension contribution worth 100 RON

. Bonus for employee referrals: ranging between 1,800 RON - 7,200 RON gross depending on the role

. Reimbursement for vision devices up to 700 RON, once every 2 years

. Voucher for partial compensation of energy consumption

Real support for your well-being

. Medical subscription / private insurance

. Access to Bookster

. Partner offers

Flexibility that respects your rhythm

. Hybrid schedule (office & smart working)

. Short Friday

What else you should know

Recruitment process confidentiality

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

About PPC

We are leaders in energy in South-East Europe, active in electricity production, distribution, and supply, as well as in developing innovative solutions for a sustainable future. With an installed capacity of 12.4 GW, we supply energy to 8.7 million customers and deliver over 35 TWh annually.

In Romania, PPC became a top player following the acquisition of Enel companies in October 2023. With a history starting in 1950, we are listed on the Athens Stock Exchange and continuously expand our vision.

Required Skills

General skills

AWS, RedShift, SageMaker

Valori

Incredere, Respect, Integritate, Corectitudine, Grija, Creativitate