Staff Engineer – Artificial Intelligence & Machine Learning (India)

Location: India
Reports to: Senior System Architect

About FTC Solar Inc

FTC Solar is a fast growing, global provider of solar tracker systems, technology, software, and engineering services. We are as passionate about renewable energy as we are about our culture and values. We want to attract likeminded individuals who live and breathe Integrity, Accountability, Innovation and Excellence. We’re humble enough to know that we don’t know everything, so we love bold ideas that disrupt the status quo. Basically, we don’t want you to just fall in line!

FTC Solar is committed to creating a culture of inclusion and diversity. For us, this is not just a set of words or metrics. It drives our culture, creativity, and future success. We support our employees and foster an environment where new ideas and perspectives are celebrated and encouraged. When our employees thrive, FTC Solar thrives. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.


FTC Solar is on a mission to create a software defined IoT infrastructure that builds, manages, scales and self-heals. There are many challenges that engage us every day to evolve our cloud platform and you will play an integral role.  You will be responsible for developing backend processes and cross-platform applications for the FTC Control System.


  • Develop state-of-the art machine learning models to solve real-world problems in the renewables industry and apply it to tasks such as time-series predictions, classifications, anomaly detection or recommendation systems.
  • Deploy the ML models in production and optimize their performance.
  • Work with multiple types of data sources including big data.
  • Running tests, performing statistical analysis, and interpreting test results.
  • Conduct regular data investigation and exploratory data analysis.
  • Take sole ownership of the product and keep an eye for bugs.
  • Conduct regular machine learning tests to drive proven results.
  • Develop machine learning applications as per requirements.
  • Study and transform data science prototypes.
  • Select appropriate datasets and data representation methods.
  • Perform statistical analysis and fine-tuning using test results.
  • Train and retrain systems when necessary.
  • Documenting machine learning processes.
  • Collaborate with a team of data scientists, domain consultants and BD to embed AI, ML and analytics into the business decision processes.
  • Perform predictive modelling, machine learning, statistical modelling, large scale data acquisition, transformation, and cleaning, both structured and unstructured data.


  • 4 to 6 years of experience in software engineering/data science.
  • Experience creating and implementing appropriate ML algorithms preferred.
  • Experience building data pipelines that prep data for Machine learning and complete feedback loop.
  • Experience building models in Deep learning and Reinforcement Learnings.
  • Ensure scalability, security, performances, reliability and recovery of ML pipelines.
  • Knowledge of Machine Learning lifecycle and experience working with data scientists.
  • Transform data science proof-of-concept to production-grade software solutions.
  • Ability to write robust code in any one of Python.
  • Familiarity with machine learning frameworks (like Keras or PyTorch or tensor flow) and libraries (like sci-kit-learn, pandas).
  • Experience with Relational databases and NoSQL databases.
  • Demonstrated understanding of the full software development lifecycle.
  • Excellent problem solving, critical thinking, and communication skills.
  • Solid grasp of computer science fundamentals including data structures and algorithms.
  • Solid ability to evaluate and apply new technologies in a short time.
  • Self-motivated, proactive, and solution-oriented.


FTC Solar offers competitive wages, growth opportunities, and a comprehensive benefits package including:

  • Private medical insurance
  • Life Insurance
  • Unlimited vacation
  • 12 weeks of paid parental leave
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