Machine Learning Tech Lead
Machine Learning Tech Lead
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Job Description
We now have a new requirement and are looking for a consultant colleague with the qualifications listed below. The position is part of our consulting business which means you will be employed by us and work either with clients or on internal projects and assignments.
As part of your application you may be presented to clients/partners as part of the recruitment process. If selected for the assignment you will be employed by us and work either with clients or on internal projects and assignments as part of our consulting business.
Job Description
Lead technical planning and execution of ML engineering work ensuring models and systems are delivered reliably and at scale.
Translate data science outputs into production-grade machine learning pipelines using Python and AWS.
Collaborate closely with the Lead Data Scientist to ensure handoff from modeling to deployment is smooth and robust.
Design and maintain ML infrastructure using AWS SageMaker S3 Lambda Step Functions etc.
Define and own technical architecture for model deployment monitoring and retraining workflows.
Manage technical sprint planning task assignment and capacity planning for the ML engineering team.
Drive code quality reproducibility and automation in model training and deployment.
Your Profile (Must-have requirements)
Many years of experience within ML development.
Previous experience within leadership or in a planning role.
Proven experience with Python including common ML libraries (e.g. scikit-learn pandas PyTorch/TensorFlow).
Experience planning assigning and following up work using Linear (or similar tools like Jira) with a structured approach to sprint planning and progress tracking.
Experience managing backlogs sprint planning and resource allocation for technical teams.
Strong knowledge of AWS services especially SageMaker S3 Lambda and Step Functions.
Experience in building deploying and maintaining ML models in production environments.
Comfortable working with CI/CD pipelines version control (Git) and containerized environments (e.g. Docker).
Strong communication skills and ability to align cross-functional teams.
Meritorious
Previous experience within fintech is a great plus
Application deadline:
About Us
We currently employ experienced consultants in areas such as System Development AI Machine Learning Testing Cloud Infra DevOps and IT Project Management.
Working at Deploja is something entirely different from working at an ordinary consulting companyand we are really proud of that. So what makes us unique
We simply offer more than just a high salary and greater freedom; thats just the beginning. With us youll find the work environment and opportunities you deserve. Welcome to Deploja where the grass is indeed greener!
Vi erbjuder dig fljande Valet r ditt!
Exciting assignments with our many clients. We focus on long-term projects which gives you the opportunity to create value for the client while also developing yourself.
A secure monthly salary together well agree on a base salary depending on your assignments.
Company car we encourage you to choose an electric car for a more sustainable future.
Occupational pension and great opportunities for salary conversion.
Vacation Would you like more than 30 days of vacation perhaps 60 days
Private health insurance accident insurance and life insurance for increased security.
Skills development you set your own budget and choose the training you wish to attend.
Quality of life Are you struggling to balance everyday life and wish to work a little less while still earning as much if not more
We handle applications continuously and due to the high workload its especially important to include a short motivation for the position explaining how you meet the requirements.
Employment Type
Full Time
