Romania Job Openings
PPC ROMANIA
Machine Learning Engineer
Bucharest
FULL TIME
October 9, 2024
Machine Learning Engineer
PPC Energie
GLOBAL DIGITAL SOLUTIONS
Bucharest
Unlimited period
#Your Career 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
What's in it for you:
Professional growth/ Development
Rewards
Way of working
What else do you need to know-
We inform you that all applications received will be treated confidentially. Only the selected candidates will be contacted for an interview, the rest of the applications being kept in our database for a period not exceeding one year.
PPC is the leader of the energy market in Southeast Europe. PPC produces, distributes and supplies electricity, as well as advanced energy products and services in Greece, Romania and North Macedonia.
The PPC Group has production units with an installed capacity of 10.7 GW and serves 8.7 million customers in several markets in the region, with over 35 TWh of energy supplied.
The group is present in Romania following the acquisition of the Enel companies in our country in October 2023. PPC was founded in 1950 and is listed on the Athens Stock Exchange.
PPC Energie
GLOBAL DIGITAL SOLUTIONS
Bucharest
Unlimited period
#Your Career 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
- Design, build, and deploy machine learning models using Python and frameworks such as Tensor Flow, Py Torch, ensuring models are robust, scalable, and optimized for performance.
- Utilize Sage Maker'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.
- UtilizeApache Airflowto schedule and automate data processing tasks and model training workflows.
- Collaborate with data engineers to ensure seamless integration of ML models into production environments.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field.
- 4+ 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, Sage Maker, 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.)
- holiday Bonus
- 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 andamp; smartworking)
- short Friday
What else do you need to know-
We inform you that all applications received will be treated confidentially. Only the selected candidates will be contacted for an interview, the rest of the applications being kept in our database for a period not exceeding one year.
PPC is the leader of the energy market in Southeast Europe. PPC produces, distributes and supplies electricity, as well as advanced energy products and services in Greece, Romania and North Macedonia.
The PPC Group has production units with an installed capacity of 10.7 GW and serves 8.7 million customers in several markets in the region, with over 35 TWh of energy supplied.
The group is present in Romania following the acquisition of the Enel companies in our country in October 2023. PPC was founded in 1950 and is listed on the Athens Stock Exchange.
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