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techindustan

AI/ML Engineer

Sahibzada Ajit Singh Nagar · Mid Level

Older listing - lower visibility likelyVerified listingPosted 120d ago

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Skills required

23 listed

A/B TestingCI/CDIntelligent SystemsDeep LearningSemantic SearchVector DatabasePython (Programming Language)Large Language Models (LLMs)+15 more

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Job description

We're looking for an AI/ML Engineer with experience building and deploying intelligent systems, spanning classical ML, deep learning, statistics, and modern Generative AI, across the full solution lifecycle from model development to production deployment.

Responsibilities

Design, develop, and maintain ML/AI solutions using Python
Build and deploy GenAI systems: LLMs, RAG pipelines, and agentic workflows (LangChain, LlamaIndex, LangGraph)
Work with embeddings, semantic search, vector databases, and MCP-based tool integrations
Develop and integrate RESTful APIs for AI/ML services
Fine-tune and evaluate models (including LoRA/QLoRA) and build evaluation frameworks for accuracy, reliability, and bias
Optimize for performance, latency, cost, and scalability
Collaborate cross-functionally, write clean/testable code, participate in code reviews
Stay current with new model releases, techniques, and tools, and judge what's actually worth adopting vs. hype

Requirements

3+ years in AI/ML development, strong Python
Solid grasp of classical ML (regression, classification, clustering) and foundational statistics (probability, hypothesis testing, A/B testing)
Understanding of deep learning concepts (neural network architectures, CNNs, RNNs, transformers, backpropagation, training/optimization techniques)
Hands-on with NLP, Generative AI, embeddings, semantic search
Experience with RAG, vector databases (Pinecone/Weaviate/Qdrant), and PostgreSQL/MongoDB
Experience with agentic frameworks (LangChain, LangGraph, LlamaIndex) and MCP
Familiarity with Git, CI/CD, Agile
Experience with OpenAI, Anthropic, or similar LLM APIs
Bonus: LoRA/QLoRA fine-tuning, reasoning/test-time-compute techniques, LLMOps

Stand out if you can

Have taken at least one GenAI project end-to-end, from idea to a live, hosted deployment someone else can actually use (a multi-agent system, an AI product, or any other practical application), not just notebooks or coursework
Demonstrate awareness of current AI trends and practical judgment on what's worth adopting
Show sound reasoning around model selection and architecture tradeoffs for a given use case

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Applicants who checked fit first are 3.1× more likely to hear back

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ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

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No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.