Senior Machine Learning Engineer (all genders)

diconium; Berlin; Hybrid; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen Senior Machine Learning Engineer, der die Möglichkeit hat, an spannenden Projekten zu arbeiten, die Software, Daten und KI nutzen, um Unternehmen zu helfen, mehr mit weniger zu erreichen. In dieser Rolle werden Sie hochperformante ML-Dienste erstellen und pflegen, CI/CD-Pipelines entwerfen und Stakeholder bei der Implementierung von Lösungen unterstützen. Mit einem flexiblen hybriden Arbeitsumfeld und einem starken Fokus auf persönliche und berufliche Entwicklung bietet diese Position die Chance, in einem unterstützenden und integrativen Team zu wachsen und einen bedeutenden Einfluss auf digitale Transformationsprojekte zu haben.

Leistungen

Hybrid Work

Flexible Hours

Public Transport Tickets

Job Bikes

Health Offers

Supplementary Insurances

Pension Plan

Training Programs

Free Language Courses

Sabbaticals

Qualifikationen

• 5+ Jahre Erfahrung in der Planung und Implementierung von ML-Modellen.
• Erfahrung mit CI/CD-Pipelines und MLOps-Tools.

Aufgaben

• Erstellen und Warten von hochperformanten ML-Diensten und Modellen.
• Interaktion mit Stakeholdern zur Bedarfsanalyse und Lösungsdesign.

Kenntnisse

Python

Machine Learning

Stakeholder Management

Effective Communication

Data Transformation

MLOps

Agile Methodologies

Ausbildung

Bachelor's Degree in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

Azure Cloud

Docker

GitHub

Terraform

Spark

Databricks

Jobbeschreibung

Senior Machine Learning Engineer (all genders)

Apply locations Berlin time type Full time posted on Posted 30+ Days Ago job requisition id JR100053

Join our global team of experts

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 global 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. 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 Anna, [e-mail]