AI/ML Specialist - Python Developer

Join Company's Automation Chapter as an AI Specialist - Python Developer, where innovation drives excellence. 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) 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 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.