Machine Learning Engineer

!!! Hiring !!

Soft skills

• Combination of business focus, analytical and problem solving skills in order to quickly define a data-driven solution within different initiatives
• Ability to work within a team and with a proactive attitude
• Ability to communicate and popularize technical topics

Main skills

- Programming in Python (Numpy, Pandas, Scikit-learn, )

- Mastery of basic Devops tools (Versionning Git, Docker, CI/CD concepts e.g. Gitlab CI framework)

- Mastery of ML Ops and ML Engineering frameworks (Experiment trackers e.g. MLFlow, Orchestrators – e.g. Airflow, Kubeflow, Sagemaker)

- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, ...) and their real-world advantages/drawbacks. An experience in models robustness analysis and monitoring in production is highly appreciated.

- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, )

- Knowledge of Monitoring model algorithm and A/B testing method

Other skills

- AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated

Engineer / PhD in Data Science / Computer Programming

Databricks (Machine learning Associate OR Machine Learning Professional)

Seniority: 5+ yrs of experience

MISSIONS

- Build statistical models and machine-learning algorithms pipeline

- Deploy and maintain statistical models and machine-learning algorithms pipelines

- Write and refactor the code into reusable libraries and API

- Master and apply standard BUILD and RUN processes for ML/Statistical pipelines

- Develop the internal and external network.

For more info reach at krishnaskk@synergycom.com