Job Description :

- Minimum of 3+ years of experience in AI-based application development.

- Experience fine-tuning Large Language Models (LLMs) or working with domain-specific AI models.

- Experience building production-grade AI applications using RAG, AI Agents, or multi-agent systems.

- Familiarity with Vector Search, Knowledge Graphs, and AI observability/evaluation frameworks.

- Experience deploying AI/ML solutions using Docker, Kubernetes, and cloud-native services.

- Contributions to open-source AI projects, research publications, or participation in AI communities is a plus.

- Proficiency in Python (libraries like NumPy, Pandas, Scikit-learn, and PyTorch/TensorFlow).

- Strong understanding of Machine Learning (ML) and Deep Learning (DL) algorithms.

- Hands-on experience with Computer Vision techniques (image classification, object detection, segmentation).

- Practical experience with Generative AI and Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Claude, Gemini, or similar models.

- Experience building RAG (Retrieval-Augmented Generation) pipelines for enterprise applications.

- Hands-on experience building AI Agents and agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or similar orchestration frameworks.

- Familiarity with No-Code / Low-Code AI automation platforms such as n8n, Dify, Flowise, or LangFlow.

- Hands-on experience with Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS, or Qdrant).

- Experience with classification tasks and building predictive models.

- Proficiency with deep learning frameworks : PyTorch and/or TensorFlow / Keras.

- Exposure to NLP techniques or libraries (NLTK, Hugging Face, spaCy).

- Exposure to cloud platforms such as AWS, Azure, or GCP.

- Familiarity with MLOps practices and tools (Docker, MLflow, Git, CI/CD).

- Strong analytical and problem-solving abilities with a passion for solving real-world business challenges.

- Ability to translate business requirements into scalable AI and machine learning solutions.

- Excellent communication and collaboration skills for working with cross-functional teams and clients.

- Self-motivated learner with enthusiasm for exploring emerging AI technologies and industry trends.

- Ability to work independently while effectively managing priorities in a fast-paced environment.

- Strong ownership mindset with attention to quality, performance, and continuous improvement.