Lead Machine Learning

Our team is inspired to change the world by making energy more intelligent, greener, and affordable. Established in 2011 in London, UK, and now headquartered in Gurgaon, India. We have become a leading energy-AI software player from unassuming beginnings at the vanguard of accelerating the global energy transition.

In 2020, Renew Power, India’s largest renewables developer, acquired Climate Connect. Following ReNew’s listing on NASDAQ in summer 2021, Climate Connect has become the technology anchor of a new fully independent subsidiary - Climate Connect Digital. With backing from ReNew as the anchor investor to pursue an ambitious and visionary new strategy for rapid organic and inorganic growth.

Our mission has technology at its core and involves unlocking value through intelligent software, digitalisation, and ‘horizontal integration’ across the energy ecosystem. However, computational power and machine learning in the energy sector have yet to be fully leveraged and can create massive value.

We are looking for people with knowledge of:

● Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators

● Demonstrated history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical fields

● Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data

● Extensive experience with Python and SQL for software development, data analysis, and machine learning

● Experience on Libraries: TensorFlow, Keras, Numpy, sklearn, pandas, scikit-image, matplotlib, Jupyter, Statsmodels

● Experience on Time Series analysis, including EDA, Statistical inferences, ARIMA, GARCH

● Knowledge of Cluster Analysis, Classification Trees, Discriminant Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis

● Hands-on experience in implementing Deep learning models with video and time series data (CNN, LSTM- s, Aotoencoder, RBM)

● Experience of Regression, Multicriteria Decision Making, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics

● Aptitude and experience in applied statistics and machine learning techniques

● Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks

● Experience launching production-quality machine learning models at scale e.g. dataset construction, preprocessing, deployment, monitoring, quality assurance

● Experience with math programming is an added advantage. For example: optimization, computational geometry, numerical linear algebra, etc.

What you’ll work on:

We are developing a marketing automation platform through which an electricity retailer may apply a suite of proprietary ML algorithms to optimize outcomes across a range of channels and touchpoints. We require the services of a data science professional who can design and implement various AI/ML models that optimize the performance, quality, and reliability of the product. This position offers a potential pathway to leading an entire ML expert team. These are a few things you can look forward to working on:

● Translating high-level problems and key objectives into granular model requirements.

● Defining acceptance criteria that are well structured, detailed, and comprehensive.

● Developing and testing algorithms using our price forecasts, and customers' energy portfolio.

● Collaborating with the software engineering team in deploying the developed models tailored to specific customer needs.

● Participating in the software development process, and doing the required testing, and debugging to support the deployed models.

● Taking responsibility for ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.

● Driving the response to the discovery of regressions or failures, by undertaking various exercises (e.g. debugging, RCA, etc.) as needed

Experience:

● 6-11 years of experience in the field of Data Sciences or Machine Learning Qualifications:

● B.E / B. Tech / M. Tech / PhD in CS/IT or Data Sciences

What’s in it for you

We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:

Flexible working hours
Unlimited annual leaves
Learning and development budget
Medical insurance/Term insurance, Gratuity benefits over and above the salaries
Access to industry and domain thought leaders

At Climate Connect Digital, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.

Link to apply - https://climateconnect.digital/careers/?jobId=gaG9dgeTYBvF