Title: Machine Learning Engineer (Time Series Data)
About Altus Power
Altus Power, based in Stamford, Connecticut, is a clean power company, leading the transition to clean, electric energy for businesses and households nationwide. Altus Power, develops, owns, and operates locally sited solar generation, energy storage and charging infrastructure across the nation. Altus Power owns and operates over 1 gigawatt of solar generation assets across 25 states, serving more than 500 enterprises and 30,000 Community Solar subscribers and growing.
Since the Company’s formation in 2009, Altus has established itself as the largest commercial solar owner of in clean energy across the United States. The Company has a strategic partnership with CBRE, which is the world’s largest commercial real estate services company with 7 billion square feet of commercial real estate under management and is serving more than 90 Fortune 100 corporations. Altus also has a long-standing strategic and financing partnership with Blackstone, which is the largest owner of commercial real estate globally, with approximately 1.2 billion square feet of commercial real estate globally.
About the Position
We are seeking a highly skilled Machine Learning Engineer with expertise in time series data analysis. The ideal candidate will drive the development and optimization of machine learning solutions, focusing on time series forecasting, anomaly detection, and predictive analytics. This role bridges the gap between advanced machine learning research and impactful real-world applications.
About the Position
- Time Series Data Analysis:
- Develop and implement machine learning models and algorithms specifically for time series data analysis.
- Design and build scalable data pipelines to preprocess and transform time series data.
- Conduct exploratory data analysis to uncover trends, patterns, and insights from time series data
- Model Development and Optimization:
- Optimize and fine-tune models for performance, accuracy, and scalability.
- Experiment with and implement state-of-the-art techniques for time series forecasting and anomaly detection.
- Develop scalable APIs and interfaces for time series-based services.
- Data Science:
- Analyze complex datasets to create actionable insights, employing advanced machine learning and statistical models.
- Design end-to-end machine learning pipelines, including data collection, preprocessing, model training, and deployment.
- Solve business challenges using predictive analytics, anomaly detection, and recommendation systems.
- Research and Innovation:
- Stay informed of advancements across machine learning.
- Propose and implement state-of-the-art techniques to enhance model performance and system robustness.
- Contribute to research publications, patents, and technical workshops.
- Collaboration and Communication:
- Ensure machine learning systems meet ethical guidelines, focusing on transparency, fairness, and accountability.
- Adhere to privacy laws and regulations, implementing measures to safeguard sensitive data.
Qualifications:
- Bachelor's or master's degree in Computer Science, Data Science, Statistics, or a related field. Specialization in AI, NLP, or Data Science is preferred.
- Technical Skills:
- Proficiency in machine learning development using frameworks such as TensorFlow, PyTorch, or Keras.
- Expertise in working with time series data, including preprocessing and analysis.
- Experience developing and optimizing machine learning models for time series forecasting and anomaly detection.
- Proficiency in programming languages like Python or R, with experience in RESTful API design.
- Strong data engineering and analytics skills, with tools such as Pandas, NumPy, Spark, or SQL.
- Familiarity with big data technologies (Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure).
- Bonus points for familiarity with LLMs, Vector DBs, and RAG.
- Experience:
- 3+ years of hands-on experience with time series data analysis and machine learning solutions.
- Proven ability to deploy machine learning models and pipelines in production environments.
- Practical knowledge of statistical methods and techniques for time series analysis.
- Soft Skills:
- Exceptional problem-solving and critical thinking abilities.
- Strong interpersonal and collaboration skills.
- Ability to work in a fast-paced, dynamic environment and adapt to evolving priorities.
- Knowledge of CI/CD practices (experience developing and setting up a continuous integration/continuous delivery pipeline)
Preferred Skills:
- HTML/JS/CSS
- React
- Java
- Python
- MySQL or similar relational database (Postgres, SQL Server
Additional Nice-to-haves:
- 5+ years of extensive experience with JavaScript, React, REST/AJAX/Fetch, HTML5/CSS3, and Git.
- Experience working in the solar industry
- Proficiency with Microsoft Excel
Work Life at Altus:
Our team is the asset we are most proud of. We aim to create a positive work-life balance.
Here are a few of the benefits we offer:
- Attractive compensation
- Health and Dental Insurance (100% of premium paid of Company’s standard policy)
- Participation in 401k Plan
- Paid cell phone service on Company’s plan
- Company paid lunch in the office
- Gym membership
Altus is unequivocally committed to the principles of equal employment.
