Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
- Design develop and optimize machine learning models using Python SparkML and related libraries.
- Build and maintain scalable microservices for model serving and low latency/ high throughput backend services that leverage ML
- Develop inhouse tools and automation frameworks to streamline ML workflows.
- Deploy manage and scale ML models using cloud infrastructure.
- Write clean maintainable and efficient code with strong emphasis on performance and reliability.
- Collaborate with data engineers product managers and DevOps teams to integrate ML models into production environments.
- Monitor and debug model performance ensuring reliable operations in production.
Qualifications :
- Bachelors degree or higher in Computer Science or a related technical field.
- 4 years of experience in software development or machine learning engineering roles.
- Proficiency in Python especially for ML applications.
- Strong understanding of machine learning and AI techniques.
- Experience with cloud platforms and infrastructure (e.g. AWS Azure GCP) for deploying ML models.
- Familiarity with Spark SparkML and big data processing frameworks.
- Competency in Java; knowledge of Scala is a plus.
- Knowledge of Kubernetes and containerization best practices.
- Experience building ML and data pipelines using frameworks like Airflow.
- Solid understanding of software engineering principles including clean code practices debugging and performance optimization.
- Exposure to big data ecosystems and distributed data processing.
- Knowledge of GCP and AWS a plus.
What about languages
You will need excellent written and verbal English for clear and effective communication with the team.
Additional Information :
Our perks and benefits:
Every day lunches! (headquarters)
- Vegetarian vegan gluten and sugarfree options.
- Gourmet meals every Friday with our onsite chef!
Flexible working options to help you strike the right balance.
All the equipment you need to harness your talent (Macbook and accessories).
Snacks and beverages available everyday (headquarters).
After office events football tennis and game nights (headquarters).
- Everyone is welcome to join our football league every Wednesdays and Fridays.
- Challenge your teammates to a pool game and win the offices trophy!
- Tennis courts available for friendly matches.
- You are not a sports person Dont worry we also have chess championships game and music nights for you to join!
Learning opportunities:
- AWS Certifications (we are AWS Partners).
- Study plans courses and other certifications.
- English Lessons.
- Learn from your teammates on our Tech Tuesdays!
Mentoring and Development opportunities to shape your career path.
Anniversary and birthday gifts.
Great location and even greater teammates!
So what are the next steps
We are eager to learn about you! Send us your resume or LinkedIn profile below and well explore working together!
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
