Senior Machine Learning Engineer (m/f/d)
Senior Machine Learning Engineer (m/f/d)
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Job Description
Fuelling 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.
Lets shape the future of the energy industry together!
For our Data & Analytics department in company headquarters in Hamburgs HafenCity we are looking for you to start as soon as possible as
Senior Machine Learning Engineer (m/f/d)
Our offer to you:
Worklife balance: 38.75 working hours per week with 30 days annual leave
Ability to work freely: 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 workrelated and personal matters such as childcare elder care and more
Security and provisions: accident insurance also covering private accidents; excellent employers 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 crossteam and international connections as well as company events
Open corporate culture: at heart a familyowned company with drive a culture of lived tolerance speakup mentality and strong team spirit on the path to a green future
Modern collaborative office: with a subsidized employee restaurant openplan office concept and views of the Elbe River and the harbour
Heres 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 datainformed decisionmaking. 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 costefficiency 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 cloudbased production environments.
CrossFunctional 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 decisionmaking.
Continuous Learning: You stay updated on AI advancements and ensure that models comply with ethical standards and regulatory requirements.
What helps you to fulfil 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 handson 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 scikitlearn. 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 nontechnical stakeholders in both written and spoken English.
With these characteristics you fit perfectly with us:
Analytical Thinker: You approach challenges systematically using datadriven 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 crossfunctional settings proactively seeking input from colleagues to align data solutions with strategic business goals.
Even if you do not fulfil 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: .
Learn more about our mission vision and values: Mabanaft Our purpose mission vision & values
Required Experience:
Senior IC
Employment Type
Full-Time
