
AI Specialist - Python Developer _387
- India
- Permanent
- Full-time
- AI/ML Development:
- Design, build, and deploy AI/ML models (e.g., NLP, predictive analytics) using frameworks like PyTorch, TensorFlow, or scikit-learn.
- Implement Large Language Model (LLM) integrations (e.g., OpenAI, Hugging Face, LangChain) for process automation, document analysis, or chatbot development.
- Automation Engineering:
- Develop end-to-end automation pipelines for business workflows (e.g., data processing, decision-making systems).
- Use Python libraries like Pandas, NumPy, and OpenCV for data manipulation, analysis, and computer vision tasks.
- API & Tool Development:
- Build scalable REST APIs with FastAPI or Django for third-party integrations.
- Create interactive dashboards using Plotly chart.js, PowerBI or Streamlit to visualize AI/ML outputs.
- Collaboration & Best Practices:
- Partner with cross-functional teams (Data Engineers, Product Managers) to identify automation opportunities.
- Conduct code reviews, enforce CI/CD pipelines (GitHub Actions, Jenkins), and ensure robust DevOps/MLOps practices.
- Innovation & Knowledge Sharing:
- Stay updated on AI trends (e.g., generative AI, RPA) and contribute to the Automation Chapter’s growth through workshops and proof-of-concepts.
- Education: Bachelor’s/Master’s in Computer Science, Data Science, or related field.
- Experience:
- 5+ years in Python development with a focus on AI/ML automation (e.g., LLMs, NLP, predictive modeling).
- Proficiency in AI libraries: PyTorch, TensorFlow, scikit-learn, spaCy, or Hugging Face Transformers.
- Hands-on experience with LLM frameworks (e.g., LangChain, LlamaIndex) and API integrations.
- Strong data analytics skills (Pandas, SQL) and visualization tools (PowerBI, Plotly).
- DevOps/MLOps expertise: Git, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
- Soft Skills:
- Excellent communication for translating technical concepts to non-technical stakeholders.
- Agile mindset with the ability to manage multiple projects independently.
- Experience with NLP tasks (text classification, sentiment analysis) using NLTK or spaCy.
- Web development with Django or Flask for AI application interfaces.
- Familiarity with RPA tools (UiPath, Automation Anywhere) or low-code platforms.
- Innovate with AI/ML technologies at scale in a global insurance leader’s technology arm within information security domain.
- Collaborate with a diverse, inclusive team passionate about automation and digital transformation.
- Access to continuous learning, certifications, and career growth opportunities.