<p><p><b>About Us :</b></p><p><br/></p><p>Welcome to FieldAssist, where Innovation meets excellence!!.<br/><br/>We are a top-tier SaaS platform that specializes in optimizing Route-to-Market strategies and enhancing brand relationships within the CPG partner ecosystem.<br/><br/>With over 1,00,000 sales users representing over 600+ CPG brands across 10+ countries in South East Asia, the Middle East, and Africa, we reach 10,000 distributors and 7.5 million retail outlets every day.<br/><br/>FieldAssist is a 'Proud Partner to Great Brands' like Godrej Consumers, Saro Africa, Danone, Tolaram, Haldirams, Eureka Forbes, Bisleri, Nilons, Borosil, Adani Wilmar, Henkel, Jockey, Emami, Philips, Chings and Mamaearth among others.<br/><br/>Do you crave a dynamic work environment where you can excel and enjoy the journey?
We have the perfect opportunity for you!!.<br/><br/><b>Responsibilities :</b></p><p><p><b><br/></b></p>- Build and maintain robust backend services and REST APIs using Python (Django, Flask, or FastAPI).<br/><br/></p><p>- Develop end-to-end ML pipelines including data preprocessing, model inference, and result delivery.<br/><br/></p><p>- Integrate and scale AI/LLM models, including RAG (Retrieval Augmented Generation) and intelligent agents.<br/><br/></p><p>- Design and optimize ETL pipelines and data workflows using tools like Apache Airflow or Prefect.<br/><br/></p><p>- Work with Azure SQL and Cosmos DB for transactional and NoSQL workloads.<br/><br/></p><p>- Implement and query vector databases for similarity search and embedding-based retrieval (e.g., Azure Cognitive Search, FAISS, or Pinecone).<br/><br/></p><p>- Deploy services on Azure Cloud, using Docker and CI/CD practices.<br/><br/></p><p>- Collaborate with cross-functional teams to bring AI features into product experiences.<br/><br/></p><p>- Write unit/integration tests and participate in code reviews to ensure high code quality and maintain applications using the .NET platform and environment.<br/><br/><b>Who we're looking for :</b></p><p><p><b><br/></b></p>- Strong command of Python 3.x, with experience in Django, Flask, or FastAPI.<br/><br/></p><p>- Experience building and consuming RESTful APIs in production systems.<br/><br/></p><p>- Solid grasp of ML workflows, including model integration, inferencing, and LLM APIs (e.g., OpenAI).<br/><br/></p><p>- Familiarity with RAG, vector embeddings, and prompt-based workflows.<br/><br/></p><p>- Proficient with Azure SQL and Cosmos DB (NoSQL).<br/><br/></p><p>- Experience with vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search).<br/><br/></p><p>- Proficiency in containerization using Docker, and deployment on Azure Cloud.<br/><br/></p><p>- Experience with data orchestration tools like Apache Airflow.<br/><br/></p><p>- Comfortable working with Git, CI/CD pipelines, and observability tools.<br/><br/></p><p>- Strong debugging, testing (pytest/unittest), and optimization skills.<br/><br/><b>Good to Have :</b></p><p><p><b><br/></b></p>- Experience with LangChain, transformers, or LLM fine-tuning.<br/><br/></p><p>- Exposure to MLOps practices and Azure ML.<br/><br/></p><p>- Hands-on experience with PySpark for data processing at scale.<br/><br/></p><p>- Contributions to open-source projects or AI toolkits.<br/><br/></p><p>- Background working in startup-like environments or cross-functional product teams.</p><br/></p> (ref:hirist.tech)