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 :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.(ref : hirist.tech)