Technologies - Artificial Intelligence Engineer
3 days ago
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.
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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