Company Overview:

Emmvee Technologies is a prominent player in the renewable energy and technology sector, specializing in high-efficiency solar photovoltaic modules and advanced energy solutions. Headquartered in Bangalore, the company integrates cutting-edge engineering with sustainable manufacturing processes to power industrial and commercial infrastructure globally. With a focus on innovation and operational excellence, Emmvee is committed to driving the transition toward clean energy through robust technological frameworks and large-scale manufacturing capabilities.

Role Overview:

As a Machine Learning Engineer at Emmvee Technologies, you will be responsible for architecting and deploying intelligent models that optimize our manufacturing processes and energy management systems. You will collaborate closely with data engineers, hardware teams, and operational stakeholders to transform complex datasets into actionable insights that improve production efficiency and predictive maintenance. Your work will directly influence our operational throughput and the precision of our energy output forecasting, playing a critical role in the companys digital transformation journey.

Key Responsibilities:

- Design and implement scalable machine learning models to identify patterns in manufacturing data, helping to reduce downtime and improve product quality.

- Develop predictive maintenance algorithms that analyze sensor data from production lines to forecast equipment failures before they occur.

- Collaborate with cross-functional teams to integrate ML pipelines into existing industrial IoT frameworks, ensuring seamless data flow and real-time decision-making.

- Evaluate and refine model performance through rigorous testing and validation to ensure accuracy and reliability in high-stakes industrial environments.

- Communicate complex technical findings to non-technical stakeholders to drive data-informed decision-making across the organization.

Required Skillset:

- Demonstrated proficiency in building and deploying machine learning models using Python, Scikit-learn, TensorFlow, or PyTorch.

- Strong understanding of statistical modeling, data preprocessing, and feature engineering techniques applied to time-series or industrial sensor data.

- Ability to write clean, maintainable code and manage model versioning within a collaborative software development environment.

- Excellent analytical and problem-solving skills, with the ability to translate ambiguous business requirements into structured technical solutions.

- Strong interpersonal skills to effectively partner with engineering teams and communicate technical progress to management.

- A Bachelors or Masters degree in Computer Science, Data Science, or a related quantitative field.

- Comfort working in an on-site environment at our Bangalore facility, fostering direct collaboration with our engineering and operations teams.

- Minimum of 3 to 4 years of hands-on experience in developing and productionizing machine learning solutions.