Senior Machine Learning Engineer (all genders)

Berlin, Germany

diconium

diconium unterstützt Unternehmen bei der digitalen Transformation durch innovative Softwarelösungen, KI-Implementierungen und maßgeschneiderte Strategien für nachhaltigen Erfolg.

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Join our global team of experts 

At Diconium, we do digital business transformation across various industries. As a team member, you will work on projects that generate value from software, data, and AI by delivering strategies and solutions that challenge conventional industry practices and drive technological progress. Together with over 2,300 fellow experts, you enable Fortune 500 firms, global market leaders, and SMEs to maximize the impact of their digital initiatives and achieve digital excellence. In everything we do, we prioritize people and genuine human connections, ensuring a supportive and inclusive work environment. And we give you maximum flexibility thanks to our hybrid workplace. 

WHAT YOU CAN EXPECT
  • Create and maintain highly performant and scalable ML services and integrate models for different services in enterprise infrastructures.
  • Design, build and maintain the ML CI/CD pipeline and workflows automating data collection, data analysis, experimentation, model training, model serving and monitoring in production.
  • Train, evaluate and scale machine learning models.
  • Interact with stakeholders to understand their needs, make recommendations and design solutions based on these.
  • Implementation of ML pipelines and infrastructure.
  • Contribute to new trends in development, AI & ML.

WHAT YOU BRING ALONG

Must haves:

  • 5 or more years of relevant working experience
  • Proven experience in planning, implementing and managing machine learning models and the related infrastructure 
  • Highly proficient with Python and experience with ML frameworks such as TensorFlow, PyTorch and scikit-learn 
  • Experience with Azure Cloud, Docker, GitHub, Terraform 
  • Experience with MLOps, CI/CD and related tooling
  • Experience with ETL/ELT and data transformation frameworks (e.g. Spark) as well as big data solutions (especially Databricks) 
  • Solid understanding of machine learning algorithms 
  • Experience in stakeholder management and direct client contact 
  • Effective communication skills and fluent English 

Nice to have:

  • Experience in data architecture and database architecture 
  • Experience in project management using agile methodologies such as SAFe, Scrum or Kanban 
  • Fluent in German 

WHAT WE HAVE TO OFFER


Discover new skills and improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability and diversity. And sweeten your working life with awesome perks and benefits!

Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.

Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.

Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.

Comprehensive Benefits: Enjoy public transport tickets, job bikes, health offers, supplementary insurances, a pension plan and various discounts.


WHAT WE VALUE


At Diconium, we value and recognize the unique perspectives and experiences of each individual. With this in mind, we welcome and cherish every single application equally. At the same time, we stand up against any type of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity and other protected characteristics.
 

If you have any questions, feel free to reach out.

Your contact person is

Maren, maren.hennig@diconium.com
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture Azure Big Data CI/CD Data analysis Databricks Docker ELT ETL GitHub Kanban Machine Learning ML models MLOps Model training Pipelines Python PyTorch Scikit-learn Scrum Spark TensorFlow Terraform

Perks/benefits: Career development Flex hours Health care

Region: Europe
Country: Germany

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