AI / ML Engineer I

Job Description :
Are you ready to drive efficiency and sustainability with AI? We are looking for an experienced AI/ML Engineer II to develop transformative solutions that enhance operational efficiency and optimize solar power systems for maximum performance.

Your Mission:

• Operational Workflow Optimization: Create ML models to streamline manufacturing processes, reduce resource waste, and enhance production output.
• Solar Power Analytics: Develop predictive and prescriptive systems for solar power generation, yield forecasting, and energy distribution optimization.
• IoT-Driven Efficiency: Design real-time analytics pipelines using IoT sensors for operational monitoring and predictive maintenance.
• Advanced Algorithms: Utilize optimization techniques such as linear programming, dynamic scheduling, and reinforcement learning to improve industrial workflows.
• Scalable Deployment: Implement and deploy solutions on edge devices and cloud platforms to ensure scalability across large operations.

What Were Looking For:

• Experience Level: 1-4 years of experience in AI/ML engineering, with a focus on operational efficiency or energy optimization.
• Educational Background: Bachelors or Masters degree in Computer Science, Electrical Engineering, Data Science, or a related field.
• Technical Expertise:
  • Advanced proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of optimization algorithms, time-series analysis, and predictive modeling.
  • Experience with IoT platforms and data integration (e.g., MQTT, OPC-UA).
  • Knowledge of renewable energy systems, particularly solar power generation and grid optimization.
• Programming Skills: Expertise in Python, SQL, and experience with distributed computing frameworks like Apache Spark.
• Cloud Experience: Proficiency in deploying solutions on AWS, GCP, or Azure for scalable and resilient applications.

What Youll Achieve:

• Enable industries to reduce resource consumption and improve efficiency by up to 25%.
• Develop AI-driven systems that optimize solar energy production and minimize downtime.
• Drive sustainability initiatives, blending technology and environmental consciousness.

Join us to redefine efficiency and sustainability with AI-powered solutions.