AI Developer – Python

19 hours ago

Mohali, Punjab, India INFLUX SERVICE Full time US$ 90,000 - US$ 1,20,000 per year

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

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