ML Engineer

ML Engineer

Job Description:

Join our innovative team as a Machine Learning Engineer where you will be instrumental in creating intelligent systems that effectively analyze extensive energy data. In this role, you will collaborate closely with data scientists, software engineers, and industry experts to develop and implement advanced machine learning models aimed at forecasting energy production, predicting demand, and optimizing energy storage solutions. This is an exceptional opportunity for you to apply your machine learning knowledge in a meaningful way, contributing to the sustainable management of renewable energy resources. You will engage in various tasks, from working with large datasets generated by energy sensors and weather forecasts to transforming this data into actionable insights that drive efficiency in energy systems.

IT Languages:

• Python
• TensorFlow
• PyTorch
• Scikit-learn

As an ML Engineer, you will be responsible for the following tasks::

Develop and deploy machine learning models to accurately predict energy outputs from various renewable sources such as solar, wind, and hydropower.;; Design and implement algorithms that optimize energy storage and distribution, ensuring a balance between supply and demand in real-time.;; Analyze and manipulate large datasets derived from energy sensors, weather conditions, and market data to extract valuable insights.;; Collaborate with cross-functional teams to automate machine learning pipelines for ongoing model enhancement and scalability.;; Tackle unique challenges in renewable energy forecasting, utilizing tools such as Python, TensorFlow, PyTorch, and Scikit-learn.;; Integrate machine learning models into production environments, focusing on operational efficiency and scalability using technologies like AWS, Docker, and Kubernetes.;; Continuously seek new data sources such as satellite imagery and IoT devices to refine model accuracy and performance.

Spoken Languages:

• English;; German

Skillset:

• Machine Learning
• Data Analysis
• Time-Series Forecasting
• Cloud Computing
• Big Data Technologies

Soft Skills:

• Strong analytical thinking
• Excellent communication skills
• Team collaboration abilities
• Problem-solving aptitude

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proven experience in machine learning model development and deployment
• Expertise in Python and familiarity with key machine learning libraries

Years of Experience:

5

Location:

Germany

Job Benefits:

• Impactful work contributing to sustainability
• Dynamic and supportive work environment
• Flexible working arrangements including remote options
• Professional development opportunities

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• We foster a collaborative and innovative work environment that prioritizes sustainability and the advancement of clean energy technologies. Our team is passionate about making a difference and encourages creativity and professional growth.

Opportunities For Advancement:

• Possibility of leading projects, Opportunities for mentorship, Career development programs

Visa Sponsorship:

Available