Job Description:

We are seeking a talented and passionate Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will play a crucial role in developing and implementing cutting-edge machine learning models and algorithms. You will work closely with cross-functional teams to drive innovation and ensure the successful integration of machine learning solutions into our products and services.

We strive to optimize the potential of expansive, adaptable energy assets, such as battery storage, by enhancing their value proposition. Our goal is to position these assets as compelling investments, facilitate widespread deployment, and catalyze the transition towards a more sustainable energy landscape.

Requirements:

Python - 3+ years of experience with (atleast) the following packages, pandas, numpy, scipy and sqlalchemy
Strong AWS skills
Expert in SQL(postgres) and experience in designing efficient data models
Ability to help containerize ML services using docker, which are ready for live deploy and robust and scalable
You have experience with development, test and production environments, and knowledge and experience of using CI and CD.

Qualifications:

Bachelor's/Master's/Ph.D. degree in Computer Science, Machine Learning, or a related field.
Proven experience in developing and deploying machine learning models in a production environment.
Strong programming skills in languages such as Python, Java, or C++.
Solid understanding of machine learning algorithms, deep learning frameworks, and natural language processing.
Experience with data preprocessing, feature engineering, and model evaluation.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Benefits:

Competitive salary
Health, dental, and vision insurance
401(k) retirement plan
Flexible work schedule

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Machine Learning Engineer