Job Description

• New Dehli, India

Are you willing to contribute your skills to have an impact on the planet and accelerate the clean energy transition?

Come join SmartHelio, a Y-Combinator-backed deep-tech company based in Switzerland, USA, and India, recognized as “Best for the world” by B-Corporation Institute for its high contribution to the clean tech & environment.

We accelerate the adoption of clean and sustainable energy in the face of climate change providing state-of-the-art technology to enhance energy market efficiency. We are disrupting the energy sector using Artificial intelligence, Machine Learning, Edge Computing, IoT, and Advanced Climate Modelling to help generate more energy from solar/wind farms and make them truly green and sustainable. Kindly visit www.smarthelio.com for more information.

We are venturing into a high-growth phase and looking for new members to join our startup. We are hiring a Senior Software Engineer who will contribute by designing, developing, and maintaining cloud applications and services to meet our business needs.

Qualifications

1. A Bachelor's degree in a related field (Computer Science, Statistics, Mathematics, Engineering, etc.). A Master's or Ph.D. is a plus.

2. Minimum of 3.5 years of hands-on experience as a Data Scientist, with a strong focus on time-series data analysis, classification techniques, and experience in training machine learning models using a variety of techniques, including supervised, unsupervised, and reinforcement learning.

3. Profound knowledge of supervised learning algorithms (e.g., regression, decision trees, support vector machines, neural networks) and unsupervised learning techniques (e.g., clustering, dimensionality reduction).

4. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and experience in developing deep neural networks for classification tasks.

5. Demonstrated ability to design, build, and optimize machine learning models for real-world applications.

6. Ability to work with large and complex datasets.

7. A systematic approach to experimentation, including A/B testing and cross-validation.

8. Willingness to work in a fast-paced start-up environment.

9. Effective communication skills to collaborate with cross-functional teams, present findings, and explain complex machine learning concepts to non-technical stakeholders.

Nice to have

1. Working knowledge of pattern recognition and signal processing using Data analysis.

2. Experience with cloud and software technologies

3. Working experience with MLOps.

What will we do together?

1. Leverage Machine Learning Techniques: Work together to apply a wide range of machine learning methods, including supervised, unsupervised, and reinforcement learning, to solve complex problems and drive business outcomes.

2. Model Development: Collaborate in the development of cutting-edge machine learning models, with a focus on classification tasks, from concept to deployment.

3. Data Exploration and Preprocessing: Explore and preprocess data to create high-quality datasets, ensuring that our models are trained on the most relevant and reliable information.

4. Evaluation and Optimization: Continuously evaluate model performance and optimize models for accuracy, efficiency, and scalability.

5. Innovation: Encourage innovation and experimentation to push the boundaries of what machine learning can achieve within our organization.

6. Cross-Functional Collaboration: Collaborate with diverse teams across the company, sharing insights and ensuring alignment with business objectives.

7. Professional Development: Support your ongoing professional development and growth in the field of machine learning and data science.