AI/ML Developer

Experience : 3 - 6 Years

Location : India

About the Role :

We are looking for a hands-on AI/ML Developer to design, develop, and deploy AI/ML solutions across Generative AI, NLP, Computer Vision, and structured data.

The ideal candidate should have strong Python and AI/ML development experience, with exposure to LLMs, RAG, traditional ML, Azure, APIs, MLOps, and vector databases.

Key Responsibilities :

- Develop LLM-based applications and Retrieval-Augmented Generation (RAG) solutions.

- Build and integrate solutions using LLMs such as OpenAI, HuggingFace, Mistral, or equivalent models.

- Develop traditional ML models for classification, regression, clustering, and data analytics.

- Perform feature engineering, model training, evaluation, optimization, and experimentation.

- Develop AI solutions using text, image, and structured/tabular data.

- Work on Computer Vision use cases, including OCR, document intelligence, and layout analysis.

- Develop scalable Python-based APIs and microservices for AI/ML applications.

- Build and work with embeddings and vector databases such as Pinecone, FAISS, or equivalent.

- Deploy and integrate AI/ML models in Azure/cloud environments.

- Work with Kubernetes/AKS, serverless APIs, and cloud services as required.

- Follow MLOps practices for model versioning, deployment, monitoring, and lifecycle management.

- Collaborate with senior AI engineers, product teams, cloud teams, and global engineering teams.

- Participate in code reviews, technical discussions, experimentation, and AI R&D initiatives.

Required Skills & Qualifications :

- 3 - 6 years of experience in AI/ML development.

- Strong hands-on experience with Python.

- Experience in one or more areas of NLP, Generative AI, Computer Vision, or traditional ML.

- Hands-on experience with LLMs, Transformers, LangChain, or equivalent AI frameworks.

- Understanding of RAG, embeddings, prompt engineering, and vector databases.

- Experience with traditional ML algorithms such as classification, regression, and clustering.

- Strong understanding of feature engineering, model evaluation, and optimization.

- Experience developing REST APIs and microservices using Python.

- Experience deploying AI/ML applications on Azure or another cloud platform.

- Exposure to MLOps tools and practices.

- Experience with Pinecone, FAISS, or similar vector databases.

- Exposure to OCR, Computer Vision, Document Intelligence, or multi-modal AI is preferred.

- Good problem-solving, communication, and collaboration skills.

Good to Have :

- Experience with Azure Kubernetes Service (AKS).

- Experience with CI/CD and automated model deployment.

- Exposure to AI agents and advanced RAG architectures.

- Experience working with real estate, financial, or document analytics use cases.

- Exposure to AI research, experimentation, or innovation initiatives.

Why Join the AI Team?

- Work on cutting-edge Generative AI and ML solutions.

- Gain hands-on exposure to LLMs, RAG, Computer Vision, and Azure.

- Work with global AI and engineering teams.

- Opportunity to work on innovative PropTech AI solutions.

- Strong learning and career growth opportunities.

Benefits :

- Annual performance-related bonus.

- 6x Flexi Holidays.

- Medical insurance coverage for extended family members.

- Engaging, inclusive, and collaborative work culture