Senior/Lead Research Scientist
First seen by Alion on Oct 9, 2026.
Brief About Bert Labs :
Bert Labs is an International Award Winning, one of the fastest growing AI Innovation Companies in the world.
Founded in 2017, Bert Labs is growing at 300% year on year to be USD 1 Billion global revenue by 2027-28.
And bringing in Business Transformation impact across industries.
Bert Labs is bringing USD 360 million in energy cost savings and 60 million Tonnes of carbon footprint reduction with 100+ clients in India & globally.
And USD 460 million in production cost savings.
In the next 4 years, our platform will bring in USD 1.6 billion in energy cost savings and 260 million Tonnes of carbon footprint reduction with 600+ clients.
And production cost savings of USD 2 billion. This will lead to USD 1 Billion revenues by FY 2027-28 end for an IPO.
At Bert Labs, we are leading ClimateTech as we tackle complex challenges through Bert Geminus First Principles, powered by Deep Neural Network Operational Digital Twins prediction, and Bert Optimus Reinforcement Learning optimization.
These are facilitated by Bert Nova Multi-Tenant Distributed Computing, Bert Maximus IoT Devices, and Bert Qrious IoT-powered Wireless Sensor Network, all part of the Bert Platform Solution , driving Business Transformation Goals on Sustainability, Energy Efficiency Improvement, Net Zero, and Production.
We consistently innovate, filing 4-5 patents monthly, totalling 50-60 patents annually across various regions.
Anticipating accelerated innovation, we aim to file 100 patents per year in FY 2025-26, 150 patents in FY 2026-27, and a remarkable 400 patents in FY 2027-28.
At Bert Labs , we believe in challenging the status quo every day.
We do this with the power of diversity, inclusion, and collaboration.
By connecting different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people.
Our employee experience includes appreciation, belonging, growth, and purpose for everyone.
We are committed to a diverse and inclusive workplace.
At Bert Labs, we are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.
Welcome to Bert Labs family.
Responsibilities :
- Carry out exhaustive research on application of AI/ML/DNN/DRL in several industrial domains : Commercial Buildings HVAC - Utility Systems, Pharma HVAC - Utility Systems, Pharma Process Equipment, Pharma Drug Discovery, Cement, Chemical/Speciality Chemical, Consumer Goods, Pulp & Paper, Materials, Automobile, and Energy Generation & Distribution.
- Conceptualize, Architect, Design, Develop, Productionize & Improve Models as part of the Platform Solution.
- Setup scalable pipelines and processes for data pre-processing/cleaning, feature extraction, dimensionality reduction, model building and serving.
- Utilize existing and newer algorithms to build the prediction and optimization models from the time series data.
- Collaborate with first principles modelling team members to establish several integration touchpoints between output of first principles (Physics/Chemistry/Biology) simulations and deep neural network simulations, and pre-train the models before field deployment.
- Collaborate with Industrial domain experts as part of building these models end to end for maximizing performance in these complex manufacturing process lines/equipment
- Collaborate with Product Management Leaders to bespoke Bert Labs Foundational AI models for different manufacturing plants and buildings.
- Collaborate with front-end developers to integrate analytics.
- Collaborate with backend developers to help them create high performing distributed computing software modules.
- Entrepreneurial Leadership role, where in you innovate every day and do things beyond your current capabilities.
- Collaborate with IPR team to come up with innovation ideas, which can be patented.
- Further, work with the IPR team on freedom to operate search, technology landscaping and prior art searches, and on patent drafting.
Requirements :
- BTech/MTech/PhD in CS/ECE/Statistics or other relevant fields from premium institutes IITs/BITS/NITs/IIITs/Jadavpur University/DTU/Top Engineering Institutes in USA, Europe, UK/NUS
- 6 to 12 years of proven experience.
- Computer Vision, Machine Learning, Python, Keras, Scikit-learn, TensorFlow
- Experience in statistical time-series analytics and forecasting : quartiles, ETS forecast, Holt-Winters, auto regressive techniques ARIMA/SARIMA, GARCH, hybrid GARCH-LSTM.
- Applications to sales/demand forecasting in retail, analytics for industrial IoT time-series data is preferred.
- Experience in Reinforcement Learning, ANN/RNN/LSTM, Gradient Boosted Machines, SVM, Ensemble techniques.
- Experience in NoSQL DBs, Hadoop, analytics tools : Power BI, Tableau, etc. , and data pipelines for ML: Apache Spark Streaming, Storm etc., is preferred
Skills
IT Research, Data Science, Data Scientist, Data Analytics, Computer Vision, Machine Learning, Python, Time Series Analysis, Tensorflow