Ai Ml Engineer

Corover; Delhi; Hybrid; INR 4,000,000 - 6,500,000; Full time

Job summary

Corover is seeking an experienced AI/ML engineer to develop, train, and optimize models across NLP, CV, and predictive analytics use cases. You will design feature pipelines, run experiments, and collaborate with cross-functional teams to deploy production-ready AI solutions.

The role requires hands-on experience with PyTorch/TensorFlow, strong coding skills in Python, and a background in data handling and model evaluation metrics.

Qualifications

• B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent
• Professional certification in machine learning or deep learning preferred
• Research papers, case studies, or significant open-source contributions are preferred

Responsibilities

• Develop, train, and optimize AI/ML models for various use cases such as text summarization, image matching, and speech recognition.
• Implement feature engineering pipelines and data pre-processing modules.
• Conduct experiments and document results to improve model accuracy and latency.
• Collaborate with Data Scientists and Engineers to deploy AI models in production.
• Perform error analysis and debugging to improve model stability.
• Ensure model outputs comply with Responsible AI guardrails and data protection norms.
• Support integration of AI components into existing government applications.

Skills

Python

CH

R

NLP

Computer Vision

Open-source contributions

Education

B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent

Professional certification in machine learning or deep learning

Research papers, case studies, or significant open-source contributions

Tools

PyTorch

TensorFlow

Keras

Hugging Face

Job description

Educational Qualification:

• 1. B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.


• 2. Professional certification in machine learning or deep learning preferred.


• 3. Research papers, case studies, or significant open-source contributions(are preferred)

Experience:

• 1. 47 years of hands-on experience in developing and fine-tuning AIIML models.


• 2. Practical exposure to NLP, computer vision, or predictive analytics projects.


• 3. Demonstrated experience in implementing Al solutions using open-source or cloud frameworks.

Key Responsibilities:

• 1. Develop, train, and optimize AI/ML models for various use cases such as text summarizrtion, image matching, and speech recognition.


• 2. Implement feature engineering pipelines and data pre-processing modules.


• 3. Conduct experiments and document results to improve model accuracy and latency.


• 4. Collaborate with Data Scientists and Engineers to deploy AI models in production.


• 5. Perform error analysis and debugging to improve model stability.


• 6. Ensure model outputs comply with Responsible Al guardrails and data protection norms.


• 7. Support integration of AI components into existing government applications.

Technical Competencies:

• 1. Programming Languages: Python, CH, R.


• 2. Frameworks: PyTorch, TensorFlow, Keras, Hugging Face.


• 3. Libraries: pandas, NumPy, OpenCV, spaCy, Transformers.


• 4. Data Handling: SQL, NoSQL, data augmentation techniques.


• 5. Cloud & Tools: Docker, SageMaker, MLflow, Git.


• 6. Evaluation Metrics: Fl, BLEU, ROUGE, AUC, precision-recap curves.