Aktiviere Job-Benachrichtigungen per E-Mail!

Senior Machine Learning Engineer all genders

dda diconium data

Berlin

Hybrid

EUR 60.000 - 100.000

Vollzeit

Vor 17 Tagen

Erhöhe deine Chancen auf ein Interview

Erstelle einen auf die Position zugeschnittenen Lebenslauf, um deine Erfolgsquote zu erhöhen.

Zusammenfassung

Join a forward-thinking company that empowers businesses through innovative software solutions and AI. In this dynamic role, you'll collaborate with a diverse team of experts to create scalable machine learning services and integrate them into enterprise infrastructures. You'll have the opportunity to shape the future of digital transformation while working in a supportive and inclusive environment. With a focus on professional growth and flexibility, this position offers a unique chance to make a significant impact in a rapidly evolving field. If you're passionate about AI and looking for a place to thrive, this role is for you.

Leistungen

Flexible Work Hours
Workation
Parental Support
Sabbaticals
Public Transport Tickets
Job Bikes
Health Offers
Supplementary Insurances
Pension Plan
Various Discounts

Qualifikationen

  • 5+ years of experience in machine learning and related infrastructure.
  • Proficient in Python and ML frameworks like TensorFlow and PyTorch.
  • Experience with stakeholder management and effective communication.

Aufgaben

  • Create and maintain scalable ML services and integrate models.
  • Design and build the ML CI/CD pipeline and workflows.
  • Train and evaluate machine learning models.

Kenntnisse

Python
Machine Learning
TensorFlow
PyTorch
scikit-learn
Azure Cloud
Docker
GitHub
Terraform
MLOps
CI/CD
ETL/ELT
Data Transformation
Stakeholder Management
Effective Communication

Tools

Docker
GitHub
Terraform
Databricks
Spark

Jobbeschreibung

At diconium, you will work on projects that create value from software data and AI, enabling businesses to achieve more with less. You will collaborate with over 2,300 fellow experts to support globally leading companies in maximizing the impact of digital efforts and delivering solutions with measurable business impact. We prioritize people and genuine human connection, ensuring a supportive and inclusive work environment. Additionally, we offer maximum flexibility through our hybrid workplace model.

WHAT YOU CAN EXPECT

  • Create and maintain highly performant and scalable ML services, and integrate models into enterprise infrastructures.
  • Design, build, and maintain the ML CI/CD pipeline and workflows, automating data collection, analysis, experimentation, model training, serving, and monitoring in production.
  • Train, evaluate, and scale machine learning models.
  • Interact with stakeholders to understand their needs, make recommendations, and design solutions accordingly.
  • Implement ML pipelines and infrastructure.
  • Contribute to new trends in development, AI, and 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 related infrastructure.
  • Highly proficient in Python and experienced 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, data transformation frameworks (e.g., Spark), and 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.
  • Fluency in German.

WHAT WE HAVE TO OFFER

Discover new skills, improve your strengths, adapt your working day to your personal lifestyle, celebrate community, sustainability, and diversity. Enhance your work life with fantastic 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, flexible hours, workation, parental support, and sabbaticals.

Embrace Diversity & Sustainability: Participate in our Sustainability Hub, diverse communities, Diversity Taskforce, and afterwork 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. We welcome and cherish every application equally. We stand against any form of discrimination and harassment based on gender, age, skin color, religion, sexual orientation, origin, disability, gender identity, or other protected characteristics.

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

Your contact person is Maren.

Required Experience: Senior IC

Key Skills

Industrial Maintenance, Machining, Mechanical Knowledge, CNC, Precision Measuring Instruments, Schematics, Maintenance, Hydraulics, Plastics Injection Molding, Programmable Logic Controllers, Manufacturing, Troubleshooting

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.