MLOPs Engineer
- Capgemini
- 5 - 10 years
- Pune
- 2 months ago
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Job Description
Must-Have Skills
Core competencies required to fulfill the role:
Deep NLP Expertise
Hugging Face Transformers (BERT, GPT, etc.)
NLTK
Knowledge Graphs & Semantic Search
AI/ML Frameworks
PyTorch, TensorFlow, Keras
Python Programming (for NLP and ML model development)
Model Deployment & Optimization
Building production-ready NLP solutions
Good-to-Have Skills
Enhances capability and accelerates innovation:
Generative AI & LLM Fine-Tuning
Prompt engineering, RAG (Retrieval-Augmented Generation)
API Development
RESTful APIs for NLP services
MLOps Practices
Model versioning, monitoring, retraining pipelines
Cloud Platforms
GCP or Azure for scalable NLP deployments
Distributed & Parallel Processing
Ability to design and optimize algorithms for large-scale NLP tasks
CI/CD for NLP Pipelines
Jenkins, GitHub Actions for ML workflows
Trainable Skills (COE Enablement)
Skills that can be developed internally:
Performance Optimization
Model compression, quantization for faster inference
Containerization
Docker, Kubernetes for NLP model deployment
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full timeContact Details:
Company: CapgeminiLocation(s): Pune
Keyskills: Huggingface NLP MLOPs Aiml Transformers RAG
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Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse o...
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