AI/ML Engineer (6-10 Years)/Bangalore, Gurgaon & Pune Location/Immediate Joiners!!!
Anlage Digital
Job Description & Responsibilities
Hi,
Urgently looking out for candidates for AI/ML Engineer requirement with one of my esteemed client for Bangalore, Pune & Gurgaon.
Total Years of experience:6-10 Years
Opened locations:Bangalore, Pune, Gurgaon
ONLY IMMEDIATE JOINERS SHOULD APPLY
Role Summary
The Senior Associate AI/ML Engineer designs, builds, and deploys production-grade
machine learning and multimodal AI solutions that operate across text, image, audio,
and video data. The role focuses on transforming unstructured and semi-structured
data into scalable AI services that power search, recommendations, automation,
analytics, and content intelligence use cases.
This engineer owns model development, pipeline implementation, optimization, and
deployment, while contributing to MLOps practices and mentoring junior team
members.
Key Responsibilities
- Model & Pipeline Development
Build and deploy multimodal ML models across
o Natural Language Processing (NLP)
o Computer Vision (CV)
o OCR and document understanding
Develop robust pipelines for
o Text processing, entity extraction, and classification
o Image tagging, moderation, and visual understanding
o Speech-to-text and speaker-level analysis
Implement Retrieval-Augmented Generation (RAG) pipelines with text and
multimodal indexing.
- Optimization & Performance Engineering
Optimize model inference for latency, throughput, and cost efficiency across
batch and near real-time workloads.
Apply optimization techniques including
o Batching and asynchronous inference
o Quantization, pruning, or distillation
o GPU and accelerator utilization tuning
Analyze and troubleshoot model performance in production environments.
- MLOps, LLMOps & Deployment
Build and maintain CI/CD pipelines for ML workloads using
o GitHub Actions, Azure DevOps, or Jenkins
Deploy models as cloud-native microservices, leveraging
o Docker, Kubernetes (AKS) and FastAPI
Use Azure Machine Learning for
o Experiment tracking
o Model registry
o Training pipelines and deployment
Implement monitoring and observability for models and pipelines
o Metrics, logging, alerts, and drift detection (e.g., Prometheus, Grafana)
- Application & Platform Integration
Integrate AI capabilities into enterprise applications such as
o Search and recommendation systems
o Knowledge, document, or content platforms
o Auto-tagging, summarization, transcription, and moderation workflows
Design and expose inference and retrieval APIs for downstream consumption.
Collaborate with backend, data, and platform teams to ensure scalable and
secure AI integrations.
- Collaboration & Mentorship
Partner with product managers, data scientists, and engineers to translate
business requirements into deployable AI solutions.
Review code, promote best practices, and mentor junior engineers.
Contribute to reusable components, documentation, and engineering standards.
Required Skills & Expertise
Core Technical Skills
Strong proficiency in Python with PyTorch and/or TensorFlow.
Hands-on experience with
o NLP, computer vision or speech models
Working knowledge of LLM and orchestration frameworks
o LangChain, LlamaIndex or equivalent
Experience with vector search and semantic retrieval
o FAISS, Pinecone, Weaviate, or Azure AI Search
Solid understanding of Docker, Kubernetes, and CI/CD pipelines.
Preferred Skills
Experience with Azure AI and ML ecosystem, including
Azure OpenAI
Azure Data Lake or related data services
Familiarity with real-time inference, streaming data, or distributed ML systems.
Qualifications
3–5+ years of hands-on experience in ML engineering or applied AI roles.
Bachelor’s degree in Computer Science, AI, Engineering, or related field.
In case you are interested in the above mentioned requirement, would request you to kindly fill in the deyails metioned below
Total Years of experience
Relevant experience in AI/ML
Relevant experience in Natural Language Processing (NLP) & Computer Vision (CV):
Relevant experience in Speech Models
Relevant experience in Python with PyTorch OR TensorFlow
Currect CTC
Expected CTC
DOB
Notice Period
Currect Location
Preferred Location
- ** Interested candidates can share across their updated resume at ramandeep.k@anlage.co.in***
About Anlage Digital
Required Skills
Job Details
Posted by
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Posted on:
7 Jul 2026
About Anlage Digital
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