Machine Learning Engineer (fmx)
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job description
Over the past 20 years NETCONOMY has grown from a startup to a 500-people team working across 10 European locations. We believe in the power of agile and cross-functional collaboration bringing together peoplefromvariousbackgrounds to create outstanding digital solutions.
YOUR JOB
As a Machine Learning Engineer you will play a crucial role in driving innovation and implementing cutting-edge Generative AI solutions and intelligent agentic systems. Join our dynamic team and contribute to the development of intelligent systems that solve complex problems and enhance our business capabilities.
Your jobs key responsibilities are:
Designing and implementing end-to-end Generative AI solutions AI agents and RAG (Retrieval-Augmented Generation) pipelines to address business challenges and opportunities
Collaborating with cross-functional teams to understand requirements providing technical expertise and delivering scalable and robust AI solutions
Conducting research and evaluation of emerging AI models agentic frameworks and development kits
Working independently on Proof of Concepts (PoC) to validate and showcase the feasibility of proposed solutions
Conducting direct client communication to understand their needs and tailor AI-driven solutions accordingly
Job requirements
YOUR SKILLS
Essential Skills:
3 years of experience in Applied AI or Machine Learning in the industry
Proficiency in building Generative AI and Agentic applications at scale with expertise in using agentic frameworks vector databases grounding and other relevant concepts
Direct experience or strong familiarity with agent development (e.g. LangGraph Google Agent Development Kit (ADK) Agno)
Proven experience in research and evaluation of emerging AI technologies models and frameworks
Extensive knowledge of Cloud AI offerings on one of the Hyperscalers (GCP AWS or Azure) including ready-to-use AI services AutoML approaches and custom model development
Strong and assertive communication skills
Passion for keeping up with industry trends and advancements in Generative AI and agentic systems
Beneficial Skills:
Hands-on experience with the Google Cloud AI/ML stack (e.g. Vertex AI Gemini Models Vector Search)
Experience with AI evaluation frameworks (e.g. RAGAs LangSmith) writing integration tests and establishing robust validation strategies for Generative AI and agentic applications
Knowledge of Docker and Kubernetes
Familiarity with CI/CD processes for MLOps/AIOps
A/B testing expertise for AI models and applications
OUR OFFER
While were one company each location has unique aspects and benefits. Heres a glimpse of what to expect:
Flexible Working Models: Early bird or night owl Thanks to our flexible working models you start your work day when and where it fits you best. Plus our hybrid work option lets you choose whether you prefer working more from the office or from home.
Career Development & Onboarding: Start your journey in NETCONOMY with a structured onboarding and mentoring phase and continue with individual training opportunities. Our Learning & Development team will support you in finding the best solution for you!
Company Summit: Exchange professional and personal experiences at our annual in-house conference! One of the highlights of our company Summit is the vibrant networking environment it cultivates.
Social Events: Join your colleagues and build new connections at our social events like pizza & games evenings hiking and Christmas party and celebrate milestones together. Its on us!
Snacks and Wellbeing: Fuel your productivity and taste buds with our monthly meal allowance and discounts at partner restaurants.
Mobility Support: Choose eco friendly transportation! As we take our responsibility for the environment seriously we support your climate-friendly transportation costs.
The actual salary depends on your qualifications and experience. What is also important to us is to pay our employees an internally comparable salary. For legal reasons we need to disclose the minimum annual salary for full time employment as stated in the current collective IT agreement which is 53.80200 gross / year for this position.
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Your application has been successfully submitted!
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
We are here to help you create digital platforms which enable seamless customer experiences that drive revenue.
