Technologies - Senior Artificial Intelligence Engineer - NLP/Computer Vision

6 days ago

Gurgaon, Haryana, India Wattmonk Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Summary :

We are seeking a highly skilled and motivated Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI and machine learning models. The ideal candidate will have a strong background in algorithms, deep learning, data engineering, and software development, with a passion for solving real-world problems through AI.





Key Responsibilities :

- Design and develop scalable AI and machine learning models to solve complex business challenges.

- Lead end-to-end model development: data collection, preprocessing, training, validation, deployment, and monitoring.

- Collaborate with cross-functional teams including data engineers, software developers, and

product managers.

- Optimize existing AI models for performance and accuracy.

- Stay updated with the latest research and trends in AI/ML and evaluate their applicability to

company products.

- Document processes, models, and code to ensure knowledge sharing and reproducibility.

- Mentor junior team members and contribute to a culture of innovation and excellence.





Required Skills and Qualifications :





- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related

field.

years of experience in AI/ML, data science, development, architectural or related roles.

- Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

- Solid understanding of machine learning algorithms, data structures, and software engineering principles.

- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.

- Hands-on experience with NLP, computer vision, or deep learning applications.

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration abilities.

- Leadership and Team handing role.





Preferred Qualifications :





- PhD in AI/ML-related field.

- Experience deploying models in production environments using CI/CD pipelines.

- Contributions to open-source AI/ML projects or publications in top-tier journals/conferences

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