Join our Center of Excellence (CoE) and drive enterprise-scale data and AI initiatives. This role involves building scalable data pipelines, deploying ML models, and delivering AI-powered solutions. 6-8 years of experience in Data Analytics domain and expertise in ETL processes, data modeling, and dat warehousing.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Contract: 12 months (subject to extension).
Location: Amsterdam, Netherlands.
Salary: Not a constraint for the right candidate!
Experience: 6-8 years.
Hybrid: 2 days Work from Home 3 days Work from Office
Your Profile & DNA:
We are looking for an experienced AI/ML Engineer to join our Center of Excellence (CoE) and drive enterprise-scale data and AI initiatives. This is a senior-level role focused on building scalable data pipelines, deploying ML models, and delivering AI-powered solutions across the organization.
If you’re passionate about advanced analytics, GenAI, and production-grade ML systems — we’d love to connect.
Roles & Responsibilities
AI/ML
- Design, develop, and optimize data pipelines and workflows for advanced analytics and AIML solutions.
- Implement and maintain scalable ML and AI engineering frameworks to support enterprise-grade applications.
- Collaborate with cross-functional teams to deliver high-quality data-driven solutions.
- Ensure compliance with best practices for data governance, security, and performance.
- Support infrastructure deployment for analytics platforms and AI solutions (good to have).
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Data Engineering
- Design and implement robust data pipelines for structured and unstructured data.
- Expertise in ETL processes, data modeling, and data warehousing.
- Strong knowledge of SQL and NoSQL databases.
Machine Learning (ML) Engineering
- Build, train, and deploy ML models at scale.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Ability to optimize models for performance and accuracy.
AI Engineering
- Develop AI-driven solutions for predictive analytics and automation.
- Hands-on experience with GenAI tools and frameworks.
- Implement AI algorithms for NLP, computer vision, or recommendation systems.
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Qualification & Experience
- A Bachelor's or Master's Degree or equivalent.
- Experience 8 years in Data Analytics domain
- Familiarity with cloud infrastructure setup (Azure preferred).
- Knowledge of containerization (Docker, Kubernetes) for MLAI workloads.
- Experience in CICD pipelines for data and ML solutions.
- Understanding of security and compliance in cloud deployments.
- Databricks and Microsoft Azure certifications (preferred).
- Knowledge Level - GenAI ML Expert, Platform Knowledge Intermediate
- Excellent communication and presentation skills.
- Strong problem-solving and analytical thinking.
- Ability to work in cross-functional teams and collaborate effectively.
- Adaptability to fast-paced environments.
- Leadership and mentoring capabilities.
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What do we offer?
If your profile matches the job requirement and you are interested to be presented to our clients, then please apply and don’t forget to attach your updated CV in line with the JD!
This position is for 1 year with possibility of extension. We offer competitive Gross Salary in line with the market standard.
Besides that, we offer following benefits, such as:
- 20 days of holiday per year based on 40 hours
- Encourage Personal Development - Certification (Certification Charges reimbursed)
- Income Tax Return Filing
- We provide Visa Sponsorship for Candidate & Dependants
- Possibility of bonus
Who we are:
A2G Consulting also known as "A2G Technologies" is one of the fastest growing staffing companies in North Brabant region, Netherlands. We cater to Asia and Europe market focusing on high tech & non-high-tech clientele; headquartered in Eindhoven, Netherlands with a branch office in India (Bangalore & Pune) & Dubai. We successfully find a candidate and ensure that they get opportunities in line with their aspirations. We offer visa sponsorship for local & international candidates for career-enhancing opportunities. We strongly believe in equal opportunities and hence have a pool of resources with diversified ethnicity.
You will be deployed and work at one of our client sites.
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