Senior Machine Learning Engineer (m/f/d) - #2129263

Job Description

Fueling tomorrow – that is our mission. The mobility of the future needs innovative solutions. The energy market of the future needs people who can make things happen. The future of energy needs: you.Let's shape the future of the energy industry together!For our Data & Analytics department in company headquarters in Hamburg's HafenCity, we are looking for you to start as soon as possibleSenior Machine Learning Engineer (m/f/d)Our offer to you:

• Work-life balance: 38.75 working hours per week with 30 days annual leave
• Ability to work: flexible working hours and individual remote work arrangement
• Remuneration and additional benefits: Profit sharing, 13 salaries, holiday pay, travel allowance, etc
• Support in various life situations: through our partner PME Family Service, offering support in life crises as well as professional advice on work-related and personal matters, such as childcare, elder care, and more
• Security and provisions: accident insurance also covering private accidents; excellent employer's contribution to your company pension scheme; Lifetime account with opportunities to save for sabbaticals or early retirement
• Health: Subsidized membership with EGYM Wellpass, providing access to a wide range of sports facilities across Germany, as well as online courses in fitness, nutrition and meditation; free access to the Headspace app; bicycle leasing
• Learning & Development: support on your individual development path with internal and external training opportunities
• Networking: Networks within the company to establish cross-team and international connections, as well as company events
• Open corporate culture: at heart, a family-owned company with drive, a culture of lived tolerance, speak-up mentality and strong team spirit on the path to a green future
• Modern collaborative office: with a subsidized employee restaurant, open-plan office concept and views of the Elbe River and the harbor

Here's what you can look forward to:As a Senior Machine Learning Engineer (m/f/d), you will play a pivotal role in solving complex business challenges through advanced machine learning solutions. Your expertise in developing, deploying, and optimizing ML models will directly impact key areas like forecasting, optimization, and recommendation systems, driving data-informed decision-making. Collaborating closely with diverse teams, you will transform data into actionable insights, ensuring that model outcomes are both impactful and sustainable. Your strategic mindset and technical proficiency will empower you to select the most effective ML frameworks and tools, balancing cost-efficiency and performance in a dynamic business environment.Your tasks in a nutshell:

• Machine Learning Development: You develop, train, and deploy machine learning models to address critical business needs in Marketing & Sales, including forecasting, optimization, classification, and recommender systems.
• Model Monitoring & Optimization: You monitor model performance, identify areas for improvement, and implement retraining strategies to maintain accuracy and performance over time.
• Data Management: You collect, preprocess, and analyze complex datasets, optimizing data pipelines for scalability and efficiency in cloud-based production environments.
• Cross-Functional Collaboration: You work closely with Data & Analytics and Business teams to align machine learning solutions with strategic goals, effectively communicating model insights and documenting key findings to ensure transparency and facilitate decision-making.
• Continuous Learning: You stay updated on AI advancements and ensure that models comply with ethical standards and regulatory requirements.

What helps you to fulfill this role:

• Education & Experience: You hold a degree in Computer Science, Data Science, or have relevant experience in the data field. You bring at least 5 years of hands-on experience in developing and maintaining machine learning models for business use cases such as forecasting, optimization, or classification.
• Technical Skills: You are proficient in Python and experienced with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. You are familiar with cloud platforms, ideally Azure and Databricks, and have worked with containerization tools like Docker and Kubernetes as well as MLOps tools.
• Language Skills: You effectively communicate complex technical concepts to non-technical stakeholders in both written and spoken English.

With these characteristics you fit perfectly with us:

• Analytical Thinker: You approach challenges systematically, using data-driven methods to identify effective solutions.
• Tech Enthusiast: You are eager to stay ahead of emerging AI and ML trends, continuously expanding your knowledge and expertise.
• Effective Communicator: You can clearly convey complex concepts to diverse audiences, bridging the gap between technical and business teams.
• Collaborative & Proactive: You thrive in cross-functional settings, proactively seeking input from colleagues to align data solutions with strategic business goals.

Even if you do not fulfill all of the above requirements, we encourage you to apply if you believe your experience will add value to our team.You feel this could be a match?We look forward to receiving your application, including your salary expectations and earliest possible starting date via the application form on our website. If you have any questions, please contact our Talent Acquisition Team at the following email address:
[email protected] more about our mission, vision and values:
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