Artificial Intelligence Engineer

2 days ago

Gurugram, India Wattmonk Technologies Full time

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.

Required Qualifications

  • 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.

Preferred Qualifications

  • 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.

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