Machine Learning Engineer

URGENT HIRING | AI/ML ENGINEER | HYDERABAD

Inspire Infosol is looking for talented AI/ML Engineers with hands-on experience in Machine Learning, Generative AI, LLMs and RAG.

How to Apply:

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Please mention your current location, notice period, and availability to join in your email.

Subject: Application | AI/ML Engineer | Hyderabad

Location: Hyderabad, Telangana | Work from Office

Experience: 2–5 Years

Openings: 03

Job ID: INS-AIML-2026-004

Employment Type: Full-Time

IMMEDIATE JOINERS OR CANDIDATES WITH SHORT NOTICE PERIODS ARE HIGHLY PREFERRED

Fast Hiring: Hyderabad-based candidates with immediate availability or short notice periods may be considered for an accelerated selection process, with the potential to complete hiring within 2–5 days, subject to interview performance.

What You'll Work On

• Build, train, evaluate and deploy ML/DL models

• Develop Generative AI and LLM-based applications

• Build RAG architectures and work with foundation models

• Implement Prompt Engineering and Vector Database solutions

• Work on NLP, Computer Vision and Predictive Analytics use cases

• Develop data pipelines and feature engineering workflows

• Benchmark and optimize models for production

• Apply MLOps, CI/CD and model monitoring practices

• Collaborate with product, engineering and business teams

Technical Key Skills

Mandatory

• Python (NumPy, Pandas, Scikit-learn); PyTorch and/or TensorFlow
• Machine Learning and Deep Learning fundamentals
• LLMs, Prompt Engineering, Vector Databases, and RAG (Langchain, Langgraph/CrewAI)
• SQL and data processing
• Azure, AWS, or GCP; Git, CI/CD, and MLOps concepts

Good to Have:

• Azure AI / OpenAI / Semantic Kernel

• Docker & Kubernetes

• Production model deployment & monitoring

Education: Bachelor's/Master's degree in Computer Science, AI, Data Science, Statistics or a related field.

Why Join Inspire Infosol

Work on innovative AI and technology solutions, collaborate with talented professionals, and build AI applications that solve real-world business problems.

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