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