Senior AI/ML Engineer - Generative AI, Azure DevOps, and MLOps
Design, develop, and deploy scalable AI and Machine Learning solutions for enterprise banking platforms. Lead the complete AI solution lifecycle from data preparation to production monitoring and optimization. Collaborate with cross-functional teams to ensure compliance with security, governance, and regulatory standards.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
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 seeking a highly skilled AI Expert with strong expertise in Python, Machine Learning, Generative AI, Azure DevOps, and CI/CD to drive AI-powered transformation within enterprise banking platforms.
The ideal candidate will design, develop, and deploy scalable AI and Machine Learning solutions while integrating them into enterprise DevOps and MLOps environments. You will be responsible for the complete AI solution lifecycle—from data preparation and model development to production deployment, monitoring, and continuous optimization—ensuring compliance with enterprise governance, security, and regulatory standards.
Roles & Responsibilities
AI/ML & Generative AI Engineering
- Design, develop, train, and deploy Machine Learning and Deep Learning models.
- Develop Generative AI solutions to improve business processes and operational efficiency.
- Build AI-powered applications for:
- Intelligent automation
- Predictive analytics
- Incident prediction
- Root cause analysis
- Knowledge assistants
- Enterprise chatbots
- Train, validate, evaluate, and optimize AI models for performance, scalability, and accuracy.
- Fine-tune Large Language Models (LLMs) where applicable.
- Continuously monitor model performance and recommend improvements.
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Python Development
- Develop scalable, maintainable, and production-ready Python applications.
- Build reusable AI components, APIs, and microservices.
- Develop data processing and feature engineering pipelines for enterprise-scale datasets.
- Write clean, well-documented, and testable code following software engineering best practices.
- Optimize application performance and ensure high availability.
Azure DevOps, CI/CD & MLOps
- Integrate AI/ML solutions into Azure DevOps CI/CD pipelines.
- Design and implement automated workflows for:
- Model training
- Testing
- Validation
- Deployment
- Monitoring
- Build and maintain MLOps pipelines for continuous model delivery.
- Implement model versioning, artifact management, and release automation.
- Collaborate with DevOps teams to ensure reliable deployment of AI solutions into production environments.
Data Engineering & Model Lifecycle Management
- Perform data acquisition, cleansing, preprocessing, and feature engineering.
- Design scalable data pipelines for AI model development.
- Manage the complete AI model lifecycle:
- Data preparation
- Model development
- Training
- Validation
- Deployment
- Monitoring
- Continuous improvement
- Optimize model performance, scalability, and operational reliability.
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Enterprise Collaboration
- Collaborate with:
- Platform Engineering teams
- Azure DevOps teams
- Data Engineering teams
- Business stakeholders
- Product Owners
- Enterprise Architects
- Translate banking and business requirements into scalable AI solutions.
- Participate in solution design, technical discussions, and architecture reviews.
- Ensure AI implementations comply with enterprise security, governance, audit, and regulatory standards.
Qualification & Experience
- A Bachelor's or Master's Degree or equivalent.
- 5+ years of experience in AI, Machine Learning, or Python development.
- Strong programming expertise in Python.
- Hands-on experience developing Machine Learning and Deep Learning solutions.
- Experience with Generative AI and Large Language Models (LLMs).
- Strong knowledge of: Supervised and Unsupervised Learning, NLP (Natural Language Processing), Model Evaluation and Optimization
- Experience integrating AI solutions into Azure DevOps and CI/CD pipelines.
- Practical knowledge of MLOps principles and AI deployment practices.
- Experience building REST APIs and microservices.
- Familiarity with cloud platforms, preferably Microsoft Azure.
- Experience with enterprise software development and Agile methodologies.
- Strong analytical and problem-solving skills.
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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
- 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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