Forward Deployed Engineer Associate

Forward Deployed Engineer Responsibilities
As a selected intern, your daily tasks will include:
Engaging in data science, AI, ML, LLM projects and analytics.
Developing and implementing data models, AI, ML, deep learning, NLP, GenAI, LangChain, LLM, LLAMA, OpenAI, and GPT-based solutions.
Managing data pipelines, ETL/ELT processes, and data warehousing.
Utilizing Python and its libraries for advanced programming tasks.
Handling data collection, management, cleaning, and transformation.
Creating data visualizations using BI tools such as Power BI, Kibana, Grafana, and Looker Studio.
Working with databases like MongoDB, Elasticsearch, Neo4j, Dgraph, Supabase, Bigquery, VectorDB, and SQL.
Leveraging cloud platforms, including GCP, AWS, Azure, Linode, and Heroku.
Job Details
Work Mode: Remote (Work From Home)
Start Date: Immediate
Duration: 6 months
Stipend: ₹10,000 – ₹12,000 per month
Industry: Information Technology & Services
Employment Type: Probation of 6 Months followed by Full-time Position based on performance
Required Skills
Python
Flask
Django
MongoDB
API Development
Elasticsearch
Machine Learning
Artificial Intelligence
LLM
Core Technical Skills
Programming: Strong command of Python and TypeScript or JavaScript.
Data and APIs: Experience building and consuming REST APIs, working with SQL, and handling messy enterprise databases (like PostgreSQL, Snowflake, or S3).
Infrastructure: Working knowledge of cloud platforms (AWS, GCP) and continuous integration/continuous deployment (CI/CD) pipelines.
Applied AI Skills
Large Language Models (LLMs): Hands-on experience calling model APIs, prompt engineering, and managing structured outputs.
Advanced AI Systems: Familiarity with Retrieval-Augmented Generation (RAG), vector databases, agent orchestration, and evaluation suites.
Soft Skills and Business Acumen
Problem-Solving in the Field: The ability to sit with a non-technical client, take a vague or messy business problem, and turn it into a working technical solution.
Communication: Explaining complex technical trade-offs clearly to business stakeholders rather than just other engineers.
High Ownership: Taking a project all the way from the first prototype to a stable production deployment inside a customer's environment.

Work arrangement
No