Wattmonk Technologies - Artificial Intelligence Engineer

Department : Artificial Intelligence / Engineering

Experience Required : 5+ years in AI/ML development

Employment Type : Full-time

Location : Gurgaon, Haryana

About WattMonk Technologies

At WattMonk Technologies, we are on a mission to revolutionize clean energy and technology services through cutting-edge AI-driven solutions. We design and deliver intelligent systems that empower businesses to scale smarter, faster, and more sustainably. By joining WattMonk, youll be part of a passionate team working at the intersection of AI innovation and real-world impact, with opportunities to shape solutions that matter.

Role Overview

Were seeking a highly skilled and forward-thinking Senior AI Engineer to lead the development of intelligent systems that address complex business challenges. This role blends deep technical expertise with strategic problem-solving, offering the opportunity to shape impactful AI solutions from concept to deployment.

Key Responsibilities

• Design and implement scalable AI/ML models for real-world applications.
• Manage the end-to-end model lifecycle : data acquisition, pre-processing, training, validation, deployment, and monitoring.
• Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into WattMonks products and solutions.
• Continuously optimize models for performance, accuracy, and efficiency.
• Stay ahead of the curve by evaluating emerging AI technologies and research for practical adoption.
• Maintain clear documentation to support reproducibility and team knowledge sharing.
• Mentor junior engineers and foster a culture of innovation and excellence.
  
  

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field.
• 3+ years of hands-on experience in AI/ML development.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong foundation in machine learning algorithms, data structures, and software engineering principles.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Applied expertise in NLP, computer vision, or deep learning.
• Strong problem-solving abilities and excellent communication skills.
  
  

• PhD in AI/ML or a related discipline.
• Proven experience deploying models in production using CI/CD pipelines.
• Contributions to open-source AI/ML projects or publications in top-tier journals/conferences.