AI Specialist Python Developer - LLM/NLP

<p><p>We are a forward-thinking organization leveraging cutting-edge AI/ML technologies to automate complex business processes and enhance efficiency.<br/><br/>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.<br/><br/><b>Key Responsibilities</b><br/><br/><b>AI/ML Development : </b><br/><br/></p><p>- Design, build, and deploy AI/ML models (e.g., NLP, predictive analytics) using frameworks like PyTorch, TensorFlow, or scikit-learn.<br/><br/></p><p>- Implement Large Language Model (LLM) integrations (e.g., OpenAI, Hugging Face, LangChain) for process automation, document analysis, or chatbot development.<br/><br/><b>Automation Engineering : </b><br/><br/></p><p>- Develop end-to-end automation pipelines for business workflows (e.g., data processing, decision-making systems).<br/><br/></p><p>- Use Python libraries like Pandas, NumPy, and OpenCV for data manipulation, analysis, and computer vision tasks.<br/><br/><b>API & Tool Development : </b><br/><br/></p><p>- Build scalable REST APIs with FastAPI or Django for third-party integrations.<br/><br/></p><p>- Create interactive dashboards using Plotly chart.js, PowerBI or Streamlit to visualize AI/ML outputs.<br/><br/><b>Collaboration & Best Practices : </b><br/><br/></p><p>- Partner with cross-functional teams (Data Engineers, Product Managers) identify automation opportunities.<br/><br/></p><p>- Conduct code reviews, enforce CI/CD pipelines (GitHub Actions, Jenkins), and ensure robust DevOps/MLOps practices.<br/><br/><b>Innovation & Knowledge Sharing : </b><br/><br/></p><p>- Stay updated on AI trends (e.g., generative AI, RPA) and contribute to the Automation Chapters growth through workshops and : </b><br/><br/><b>Education : </b> Bachelors/Masters in Computer Science, Data Science, or related field.<br/><br/><b>Experience : </b><br/><br/></p><p>- 5+ years in Python development with a focus on AI/ML automation (e.g., LLMs, NLP, predictive modeling).<br/><br/></p><p>- Proficiency in AI libraries : PyTorch, TensorFlow, scikit-learn, spaCy, or Hugging Face Transformers.<br/><br/></p><p>- Hands-on experience with LLM frameworks (e.g., LangChain, LlamaIndex) and API integrations.<br/><br/></p><p>- Strong data analytics skills (Pandas, SQL) and visualization tools (PowerBI, Plotly).<br/><br/></p><p>- DevOps/MLOps expertise : Git, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).<br/><br/><b>Soft Skills : </b><br/><br/></p><p>- Excellent communication for translating technical concepts to non-technical stakeholders.<br/><br/></p><p>- Agile mindset with the ability to manage multiple projects independently.<br/><br/><b>Preferred Skills :</b><br/><br/></p><p>- Experience with NLP tasks (text classification, sentiment analysis) using NLTK or spaCy.<br/><br/></p><p>- Web development with Django or Flask for AI application interfaces.<br/><br/></p><p>- Familiarity with RPA tools (UiPath, Automation Anywhere) or low-code platforms.</p><br/></p> (ref:hirist.tech)