Senior Ai/ML Developer

Drishti IAS; Delhi; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Opportunity to contribute to impactful EdTech innovations

Collaborative culture with opportunities for upskilling

Job summary

Drishti IAS in Delhi is seeking an AI/ML Developer with 1–4 years of experience to work on innovative EdTech projects. This role involves building, fine-tuning, and deploying AI models for conversational learning agents and intelligent tutoring systems.

Candidates should have a background in Computer Science or related fields and experience with Python, TensorFlow, and NLP techniques. The position offers opportunities to work with cutting-edge AI systems in a collaborative culture.

Qualifications

• 1–4 years of hands-on experience in machine learning or applied AI.
• Experience with frameworks such as Hugging Face Transformers and LangChain.
• Basic understanding of model evaluation metrics like BLEU and F1.

Responsibilities

• Build and optimize LLM inference pipelines for scalable performance.
• Work with APIs for AI model deployment and integrate Vector Databases.
• Contribute to multimodal AI systems combining text, speech, and visual data.

Skills

Machine learning

NLP

Python

TensorFlow

PyTorch

Transformers

Education

Bachelor’s or Master’s in Computer Science, AI, Data Science

Tools

MLflow

Vertex AI

SageMaker

Job description

Role Overview

We are seeking a passionate AI/ML Developer with 1–4 years of hands‑on experience to join our EdTech innovation team. You’ll work on building, fine‑tuning, and deploying AI models that power conversational learning agents, intelligent tutoring systems, and generative educational content platforms.

Key Responsibilities

Model Development & Inference

• Build and optimize LLM inference pipelines for scalable performance (TPS/RPS optimization).
• Experiment with BLEU scores, re‑ranking models, and evaluation metrics for NLP/NLG tasks.

AI/ML Integration & Frameworks

• Work with frameworks such as Hugging Face Transformers, LangChain, and OpenAI/Anthropic APIs.
• Develop agentic RAG (Retrieval‑Augmented Generation) systems for contextual learning applications.
• Integrate Vector Databases (Pinecone, FAISS, Milvus) for semantic search and content retrieval.

Conversational & Multimodal AI

• Build voice‑based conversational agents with TTS/STT integration for multilingual learning assistance.
• Implement OCR and Vision APIs for content digitization and visual learning analysis.
• Contribute to multimodal AI systems combining text, speech, and visual data.

Model Optimization & Deployment

• Conduct fine‑tuning and transfer learning on educational datasets.
• Focus on cost‑efficient AI deployment and model serving in production environments.
• Use MLOps tools (MLflow, Vertex AI, or SageMaker) for pipeline automation.

Compliance & Ethics

• Ensure all models adhere to AI compliance, data privacy, and ethical use standards within EdTech.

Qualifications

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or related fields.
• 1–2 years of experience in machine learning, NLP, or applied AI.
• Hands‑on experience with Python, TensorFlow/PyTorch, and Transformers.
• Familiarity with APIs, REST endpoints, and AI model deployment.
• Basic understanding of metrics like BLEU, F1, and accuracy for model evaluation.

Nice to Have

• Experience with LLM fine‑tuning and custom dataset preparation.
• Exposure to AI compliance frameworks (GDPR, FERPA, etc.) in educational contexts.
• Knowledge of agent‑based systems and tool‑augmented AI agents.

What We Offer

• Opportunity to contribute to impactful EdTech innovations.
• Exposure to cutting‑edge AI systems and real‑world deployments.
• Collaborative culture with opportunities for upskilling and research.