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Artificial Intelligence Engineers (6-10yrs)-Pune/Gurugram/Bangalore-Preferred immediate joiners

Anlage Infotech (India) P Ltd

2 - 5 years

Gurugram

Posted: 23/12/2025

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Job Description

Dear All,


Hiring for AIML Engineers for Pune/Gurugram & Bangalore location with one the MNC client


Exp: 6 to 10yrs

NP: Immediate

Work Mode: Hybrid


Job Title: AI/ML Engineer Senior Associate Level

Industry: Media Preferred


Role Summary

The Senior Associate AI/ML Engineer builds production-grade ML and multimodal systems that support media workflows such as automated metadata extraction, video understanding, speech transcription, moderation, and recommendation. They own model development, MLOps integration, and production deployment while mentoring junior engineers.


Detailed Responsibilities

Model & Pipeline Development

Build and deploy multimodal ML models spanning NLP, CV, ASR, OCR, and video analytics.

Develop robust pipelines for:

o Video frame extraction, shot detection

o Speech-to-text, speaker diarization

o Image tagging, content moderation

o Multimodal embeddings (CLIP, SigLIP, VideoCLIP)

Implement RAG (Retrieval Augmented Generation) with multimodal indexing.

Optimization & Performance Engineering

Optimize model latency for real-time content tagging or streaming workflows.

Implement batching, quantization, distillation, or GPU optimizations.

MLOps and Deployment

Build CI/CD pipelines for ML using GitHub Actions, Jenkins, or Azure DevOps.

Deploy models as microservices using Docker, Kubernetes, KServe, or FastAPI.

Integrate observability tools (Prometheus, Grafana) for model monitoring.

Media Engineering Integration

Integrate AI into CMS platforms, OTT apps, media asset management (MAM) systems.

Create APIs for search, recommendations, auto-captioning, and content summaries.

Collaboration & Mentorship

Collaborate with product, content, and media engineering teams.

Mentor associate engineers and review code.


Must-Have Skills

Strong Python + PyTorch/TensorFlow.

Experience with NLP, CV, speech models.

Knowledge of multimodal LLM frameworks (LangChain, LLaVA, LlamaIndex).

Strong understanding of vector search (Pinecone, Weaviate, FAISS).

Hands-on with Kubernetes, Docker, CI/CD.


Qualifications

5 years+ ML engineering experience.

Bachelors/Masters in CS/AI.


Interested candidates please apply with following details


Exp:

CTC:

ECTC:

NP:


Regards

Sweta K

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