ML Engineer (Renewable Energy Systems)Coherent Solutions, Inc. • New York, New York, United States
This job offer is no longer available
ML Engineer (Renewable Energy Systems)
Coherent Solutions, Inc.
- New York, New York, United States
- New York, New York, United States
About
Project Description The project focuses on building, maintaining, and optimizing data pipelines and machine learning models to support business intelligence, forecasting, and energy consumption analytics. The goal is to modernize data flows by transitioning pipelines from Redshift to Snowflake, enhance orchestration using modern workflow tools, and improve model accuracy and performance for better decision‑making and customer experience.
Technologies
SQL
Snowflake
Redshift
Python
NumPy
SciPy
Scikit-learn
Jupyter
Git
GitHub
FastAPI
What You'll Do
Rebuild and translate data flows from Redshift into Snowflake;
Redesign and maintain data pipelines with workflow orchestration tools;
Develop and enhance ML models including time series forecasting, classification, regression, and computer vision;
Perform feature engineering and data preparation for ML tasks;
Build and maintain APIs for model deployment and data access using FastAPI or similar;
Conduct and participate in code reviews;
Contribute to knowledge sharing through internal seminars and documentation;
Job Requirements
3+ years of experience in data science or machine learning engineering roles;
Strong proficiency in SQL (Snowflake, Redshift);
Proficiency in Python data science stack: Pandas, NumPy, SciPy, Scikit-learn, Jupyter;
Hands‑on experience with Git version control (GitHub);
Experience developing and supporting ML pipelines and APIs (FastAPI, Flask);
Strong written and verbal communication skills;
English level: B2 or higher;
Nice To Have
Experience with Snowflake Snowpark and MLflow (or similar experiment tracking tools);
Familiarity with dbt for data transformations;
Knowledge of data QA tools (e.g., Great Expectations, Soda);
Experience with AWS Lambda, Glue, and Docker;
Experience with orchestration frameworks such as Dagster or Airflow;
Strong business acumen and statistical reasoning, especially in causal inference;
What Do We Offer The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Internal startup incubator;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Share vacancy Didn't find anything suitable?
We're always starting new projects and we'd love to work with you. Please send your CV and we'll get in touch.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.