AI Developer – Python

Job Title: AI Developer – Python

Location: Mohali
Experience: 2–5 years

Overview:
We are looking for an experienced AI Developer with a strong background in Python, AI API integration, and model fine-tuning to join our team. The ideal candidate will work on an insurance-focused AI project that automatically fetches, processes, and analyzes data to enhance decision-making and operational efficiency. You will be responsible for integrating AI APIs (such as ChatGPT, AWS Bedrock), fine-tuning models for domain-specific problems, and ensuring that the AI system learns and improves over time.

Key Responsibilities:

• Design, develop, and deploy AI-powered solutions in Python for insurance-related applications.
• Integrate AI APIs (e.g., OpenAI ChatGPT, AWS Bedrock, Hugging Face) into existing systems.
• Fine-tune AI/ML models for specific insurance domain tasks (claims processing, risk assessment, policy recommendations, fraud detection, etc.).
• Automate data ingestion from various structured and unstructured sources (APIs, databases, documents, web scraping).
• Implement pipelines for continuous model learning and improvement based on new data.
• Collaborate with insurance domain experts to align AI models with real business needs.
• Ensure compliance with insurance industry data privacy and security standards.
• Perform performance optimization, error handling, and system scalability improvements.
• Document processes, architecture, and integration steps for internal and client use.

Technical Skills Required:

• Programming: Strong expertise in Python (Flask, FastAPI, Django optional).
• AI & ML Frameworks: TensorFlow, PyTorch, Hugging Face Transformers.
• API Integration: Experience with RESTful APIs, GraphQL, and AI APIs (OpenAI, AWS Bedrock, etc.).
• Model Fine-Tuning: Experience customizing LLMs and domain-specific training.
• Data Handling: Pandas, NumPy, SQL, data cleaning, preprocessing.
• Automation & Data Pipelines: Airflow, Prefect, or similar workflow tools.
• Cloud Platforms: AWS (S3, Lambda, SageMaker), Azure, or GCP.
• Version Control: Git, GitHub/GitLab.
• Databases: MySQL, PostgreSQL, MongoDB, or other NoSQL databases.
• Security: Knowledge of HIPAA, GDPR, or insurance-specific compliance standards is a plus.

Preferred Qualifications:

• Understanding of NLP, predictive analytics, and risk modeling in insurance.
• Familiarity with RAG (Retrieval-Augmented Generation) for domain-specific knowledge bases.
• Knowledge of MLOps best practices.

Soft Skills:

• Strong analytical and problem-solving ability.
• Effective communication skills to work with cross-functional teams.
• Self-motivated with a proactive approach to learning and implementation.

Job Types: Full-time, Permanent