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, Tensor Flow, Keras, Hugging Face.
Libraries: pandas, Num Py, OpenCV, spa Cy, Transformers.
Data Handling: SQL, NoSQL, data augmentation techniques.

Good to Have
Cloud & Tools: Docker, Sage Maker, 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 qualified who designs| develops| and deploys AI and machine learning solutions to solve business problems and automate processes.
Desirable Skills:
Keyword:
Skills: AI and Automation
Experience Required: 4-6
Location: Delhi

📌 IND_Engineer (India)
🏢 Artech Infosystems
📍 India