Machine Learning Engineer @ Freelancer Sapna

Job Description

As a Machine Learning Engineer, you will be responsible for Design and Development of Machine Learning Systems as well as refining and updating the existing systems. You will be responsible to bring the best software development practices to the data science team and helps them speed up their work. Test machine learning libraries to their extremes, often adding new functionalities. Enabling production deployment of code, testability and accuracy metric tracking. You may have to look constantly for performance improvement and decide which ML technologies will be used in production environment.

MUST HAVE:

• Bachelors/Masters in Engineering with 2-4 years of industry experience
• Solid engineering and coding skills. Ability to write high performance production quality code in Python
• Good understanding of Generics, OOPs concepts & Design Patterns
• Experience in building containers using Docker
• Experience with NumPy, Pandas, Keras, Pytorch, TensorFlow, scikit-learn libraries
• Working experience on any one of the orchestration engines - Airflow / Kubeflow / Sage Maker / Data Bricks
• Understanding of ML engineering lifecycle - & MLOPs - modelling techniques, feature engineering, feature selection, model training, hyper parameter tuning, model evaluation, model serving
• Experience in deploying applications to Kubernetes

Good To Have :

• Knowledge of Parquet, Apache Arrow, PySpark
• Understanding of GPU architecture, Cudas, Rapids
• Knowledge of SQL databases - Postgresql, Mysql, MSSql
• Exposure to No SQL data stores such as MongoDB/ Redis/ ElasticSearch/ Cassandra
  WANT TO HELP SHAPE THE FUTURE OF ENTERPRISE ARTIFICIAL INTELLIGENCE LET S NOODLE.

At Noodle.ai our mission is to create a world without waste. Our products focus where the waste is in factories and supply chains around the world. We think traditional rules-based software is failing business leaders, so we work with our customers to leverage Enterprise Artificial Intelligence to do things like improve product quality, optimize the manufacturing schedule, improve fill rates, and optimize product distribution. Solving these problems gives our customers a competitive advantage while also decreasing the wasted energy, excessive CO2 emissions, and wasted resources caused by supply chain inefficiencies.

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Keyskills:   continuous improvement facilitation supply chain data science product quality machine learning equipment supply feature selection software development production deployment competitive advantage artificial intelligence performance improvement ml sql co2 oops mysql waste numpy sage