IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Mumbai
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build LLM applications and chatbots
- Build microservices-based architectures
- Containerize ML workloads
- Create RAG systems
- Deploy and monitor ML models
- Design LLM algorithms and models
- Develop AI/ML solutions
- Fine-tune and evaluate machine learning models
- Implement CI/CD pipelines
- Implement prompt engineering
- Manage vector databases
- Optimize LLMs for performance and security
- Orchestrate services with Kubernetes
- Provision cloud infrastructure using Infrastructure as Code
- Set up MLOps pipelines for training and deployment
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CloudFormation | Concurrency | Deep learning | Dimensionality Reduction | Embeddings | FastAPI | Feature Engineering | GCP | Generative AI | Git | GitHub Actions | Helm | Hugging Face | Hypothesis Testing | Jenkins | Knowledge Distillation | Kubernetes | LLM optimization | Langchain | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model Monitoring | Model Quantization | Network Security | Prompt engineering | PyTorch | Python | RAG | SQL | Semantic Search | Service Mesh | Spark | Statistical Hypothesis Testing | TensorFlow | TensorFlow Serving | Terraform | Test-Driven | Test-Driven Development | Torchserve | Transformers | VLLM | Vector Database
Education
Bachelor of Engineering | Master of Business Administration | Master of Computer Applications | Master of Engineering
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
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