Live opening · Posted 10 hours ago

Senior AI/ML Engineer (LLM, Python)

Staffnix · Hyderabad, Telangana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 10 hours ago
CompanyStaffnix
LocationHyderabad, Telangana, India (On-site)
Work modeNo
SkillsPython, AWS, Azure, Docker, Kubernetes, Pandas, TensorFlow
SourceLinkedin
ListedPosted 10 hours ago

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About the role

Description supplied by the original job listing.

Read jd
Experience 3-5 year's only.
immediate joiner only eligible.
Strong Senior AI Engineer Profile with production-grade LLM and Python expertise
2
Mandatory (Experience 1): Must have at least 3+ years of professional AI/ML engineering experience with demonstrated track record of delivering production-grade AI systems in real-world environments
3
Mandatory (Tech skill 1): Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API design
4
Mandatory (Experience 2): Must have hands-on experience building and deploying production-grade ML/LLMs including RAG pipelines, document parsing, information extraction, and text processing on large-scale unstructured data (preprocessing, chunking, embeddings, feature engineering)
5
Mandatory (Tech skill 2): Must have strong NLP / extraction-focused ML depth — transformers, embeddings, vector databases, RAG, LLM integrations, and agentic workflows.
6
Mandatory (Tech skill 3): Must have hands-on experience with AWS (SageMaker, Bedrock, EC2, Lambda) and Azure (AI Foundry, Azure OpenAI) for model training, fine-tuning, deployment, and inference at scale
7
Mandatory (Tech skill 4): Must have experience with multi-agentic frameworks / orchestration tools (Claude Code, LangGraph, LangChain, CrewAI)
8
Mandatory (Tech skill 5): Must have hands-on experience with MLOps ecosystem including experiment tracking (MLflow, Weights & Biases), model versioning/registry, automated retraining, and CI/CD (GitHub Actions, Azure DevOps, Docker, Kubernetes)
9
Mandatory (Tech skill 6): Must have experience with evaluation frameworks (precision, recall, F1, field-level accuracy) and iterative model improvement, plus AI observability (Prometheus, Grafana, SLOs).
10
Mandatory (Team Leadership): Must have experience leading projects or teams, managing technical deliverables, and mentoring, with strong problem-solving in ambiguous challenges
11
Mandatory (Education) - B.Tech or B.E. If graduated in BCA or BCS, they should have a Maters or Post graduation
12
Mandatory (Company): B2B Tech/Consulting/B2B Software

Work arrangement
No

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