AI/ML Engineer

Role Descriptions:

Required Information Details

1 Role** AI/ML Engineer

2 Required Technical Skill Set** • Hands-on experience in developing and fine-tuning AI/ML models.

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

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

3 No of Requirements**

4 Desired Experience Range** MINIMUM 4 + YEARS MANDATORY

5 Location of Requirement New Delhi

Desired Competencies (Technical/Behavioral Competency/Skills)

Must-Have**

Programming Languages: Python, C++, R.

Frameworks: PyTorch, TensorFlow, Keras, Hugging Face.

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

Data Handling: SQL, NoSQL, data augmentation techniques.

Good to Have

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

Evaluation Metrics: F1, BLEU, ROUGE, AUC, precision-recall curves.

Keywords for Sourcing** (Internal use) AI frameworks, associated libraries and data handling techniques(as above)

SN Responsibility of / Expectations from the Role**

1 Develop, train, and optimize AI/ML models for various use cases such as text summarization, 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 Perform error analysis and debugging to improve model stability.

5 Ensure model outputs comply with Responsible AI guardrails and data protection norms.

6 Support integration of AI components into existing government applications.

Essential Skills: An AI Engineer is a professional who designs| develops| and deploys AI and machine learning solutions to solve business problems and automate processes.