Tech Lead ML Ops Engineer
Join our dynamic team as a Tech Lead ML Ops Engineer to develop, deploy, and operate robust ML systems. You'll work alongside data scientists, engineers, and product managers to scale and maintain production-ready ML workflows using modern cloud infrastructure and tools.
Key Highlights
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.
Total Vacant positions: 6 (3 Senior engineer & 3 Tech Lead)
Hybrid: 2 days Work from Home 3 days Work from Office
Your Profile & DNA:
We are seeking a highly skilled Techlead ML Ops Engineer with expertise in ML Ops and ML Platform development to join our dynamic team.
Roles & Responsibilities
- You'll work alongside data scientists, engineers, and product managers to develop, deploy, and operate robust ML systems that power key services across our Digital and Retail platforms.
- This role focuses on ML Ops and ML Platform development, helping us to scale and maintain production-ready ML workflows using modern cloud infrastructure and tools.
- Develop and maintain ML pipelines for training, validation, deployment, and monitoring of models.
- Support scalable ML solutions across use cases like recommendations, forecasting, and automation.
- Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems.
- Automate model deployment workflows using CICD tools (e.g. GitHub Actions, Azure DevOps).
- Contribute to the reliability, observability, and performance of the ML platform.
- Collaborate with data scientists to productionise research code and models into scalable services.
- Help implement monitoring, alerting, and model drift detection using tools like NewRelic, Azure Monitor, and custom logging frameworks.
- Continuously improve and manage infrastructure using Terraform, Docker, and Fargate.
Qualification & Experience
- A Bachelor's or Master's Degree or equivalent.
- Proven experience in ML Engineering, DevOps, or Data Engineering with exposure to ML lifecycle.
- Hands-on experience building or maintaining ML workflows or pipelines.
- Strong Python skills and experience with tools like MLflow, Scikit-learn, or PyTorch.
- Familiarity with cloud platforms (especially Azure, AWS).
- Good understanding of containerisation (Docker) and orchestration (e.g. Kubernetes).
- Exposure to CICD tools (GitHub Actions, Azure DevOps) and infrastructure-as-code (Terraform).
- Collaborative team player with excellent communication skills.
- Technical Stack - Languages Python (primary), SQL, BashCloud Azure, AWSTools MLflow, Azure ML, Airflow, Docker, Fargate, FastAPIData Snowflake, Delta Lake, Redis, Azure Data LakeInfra Ops Terraform, GitHub Actions, Azure DevOps, Grafana, Azure Monitor
- Desirable skills - Knowledge of data platforms (e.g. Snowflake, Azure Data Lake). Experience deploying models as APIs (FastAPI, Azure Functions). Understanding of monitoring, model performance tracking, and observability best practices. Familiarity with orchestration tools like Airflow or Azure Data Factory.
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.