Developer — Forecasting & Optimisation
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Developer — Forecasting & Optimisation
Location
Pune, MH, India
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
## Company Description
Customized Energy Solutions India Pvt. Ltd. (CES India) is part of Customized Energy Solutions (CES), a globally recognized, privately held energy market intelligence, consulting, and operational services firm supporting retail and wholesale electricity and natural gas markets worldwide.
Headquartered in Philadelphia, CES operates across the United States, Canada, Japan, India, and Vietnam, with approximately 400 associates globally. The company has earned multiple distinctions from INC. 500 | 5000 and the Philadelphia Business Journal, including Hall of Fame status and repeated recognition as a Best Place to Work.
Established in 2010, CES India plays a critical role in supporting both domestic and international energy initiatives. The India team brings expertise in emerging technologies transforming the energy landscape, including energy storage, electric mobility, wholesale electricity markets, microgrids, and renewable energy systems. Associates in India collaborate closely with global teams while contributing deep technical and analytical capabilities to complex energy market challenges.
CES India actively engages with industry bodies and ecosystem partners that are shaping India’s energy and technology landscape, including organizations such as the India Electronics and Semiconductor Association (IESA). Through industry collaboration, technology innovation, and engagement with public and private stakeholders, CES India supports the broader goal of advancing sustainable, high-growth energy and manufacturing sectors in India.
At CES India, you will work in a fast-evolving industry where innovation, accountability, and professional growth are valued. Your work will contribute to meaningful outcomes across both regional and global energy markets.
## Job Description
We are looking for a skilled Python developer with a strong foundation in mathematical optimisation to join the Forecasting & Optimisation division of the CoMETS Suite — CES's flagship SaaS platform for energy asset revenue analysis. You will work on building and maintaining optimisation models and data pipelines that drive investment decisions in US wholesale electricity markets. Knowledge of the energy industry is a plus.
Key Responsibilities
- Research/Learn new and emerging technologies in the energy domain (concentrating on specific areas, e.g. various energy systems, transmission developments, energy market rules, etc.)
- Develop, test, and maintain Python-based optimisation models simulating the behaviour and revenue potential of energy assets in wholesale electricity markets
- Design, develop, review, re-factor, and maintain software with quality and performance in mind
- Develop the proposed feature/s while maintaining high quality coding standards
- Conduct technical testing to resolve existing or introduced problems
- Maintain technical documentation such as incremental design specifications and user manuals
- Actively use AI tools to accelerate development, debugging, and documentation workflows
## Qualifications
- Bachelor's degree with 4+ years of relevant experience, or Master's degree with 2+ years of relevant experience, in Electrical Engineering, Computer Science, Applied Mathematics, Operations Research, or a related field
- Expert level proficiency in Python — clean, well-structured, production-quality code
- Expert level proficiency in mathematical optimisation — Pyomo, GurobiPy, or any LP/MIP solver
- Hands-on experience building, training, and deploying machine learning models
- Exposure to AWS: cloud-based compute, storage, or serverless services
- Comfortable using AI-powered developer tools — GitHub Copilot, ChatGPT, Claude-Code, or equivalent — to boost productivity
- Familiarity with Git, Docker, and standard software development practices
- Preferred- Knowledge of electricity markets, energy assets (BESS, Solar, Wind), or power systems
## Additional Information
Why Choose CES
Customized Energy Solutions India offers competitive compensation commensurate with experience, along with performance-based incentives aligned to individual and company results. Our benefits are designed to support both professional and personal well-being and include comprehensive medical insurance coverage for associates and eligible dependents, generous paid time off, and structured opportunities for professional development through training programs and skill enhancement initiatives. We are committed to creating an environment where associates are supported, challenged, and positioned for long-term career growth.
Customized Energy Solutions provides equal employment opportunities to all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Key Responsibilities
- Research and learn emerging technologies in the energy domain
- Develop, test, and maintain Python-based optimization models for energy assets
- Design, develop, review, and refactor software with quality and performance in mind
- Conduct technical testing to resolve existing or introduced problems
- Maintain technical documentation including design specifications and user manuals
- Use AI tools to accelerate development, debugging, and documentation workflows
Requirements
- Bachelor's degree in Electrical Engineering
- Computer Science
- Applied Mathematics
- Operations Research
- or a related field
- Master's degree in Electrical Engineering
- Computer Science
- Applied Mathematics
- Operations Research
- or a related field
Skills Required
PythonMathematical OptimizationPyomoGurobiPyLP/MIP SolverMachine LearningAWSGitHub CopilotChatGPTClaude-CodeGitDockerProblem solvingAttention to detailCollaborationKnowledge of electricity marketsKnowledge of energy assets (BESS, Solar, Wind)Knowledge of power systems
Benefits
- Competitive compensation
- Performance-based incentives
- Comprehensive medical insurance
- Generous paid time off
- Professional development opportunities
- Training programs
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