AI Specialist Python Developer - LLM/NLP

We are a forward-thinking organization leveraging cutting-edge AI/ML technologies to automate complex business processes and enhance efficiency.

We seek a skilled developer with expertise in Python, AI-driven automation, and Large Language Models (LLMs) to design solutions that transform how we work.

Key Responsibilities

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) 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 Chapters growth through workshops and proof-of-concepts.

Qualifications :

Education : Bachelors/Masters 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.

Preferred Skills :

- 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.