IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Noida
On-siteNoida, Uttar Pradesh, India
Noida, Uttar Pradesh, IndiaOn-siteFull TimeSenior LevelEnterprise
Full TimeSenior LevelEnterprise
Job Summary
Design ML pipelines for experiment, model, feature management, and retraining while building APIs for scalable model inferencing. Leverage expertise in MLflow, SageMaker, Vertex AI, and Azure AI to optimize large language models through fine-tuning and distributed training using DeepSpeed and vLLM. Manage DevOps and LLMOps practices with Kubernetes, Docker, and orchestration frameworks like Langgraph and Flowise. Reduce training resource requirements and achieve better latencies and accuracies for LLM and LVM models. Requires 5-8 years of experience in Gen AI, Python, PyTorch, and cloud platforms.
Required Qualifications
- 5-8 years of experience
- Gen AI
- LLM
- Huggingface
- python
- pytorch/tensor flow/keras
- Langchain
- Langgraph
- Docker
- Kubernetes
- B.Tech/MCA/BCA/M.tec
- Bachelor of Engineering
- Master of Engineering
- AWS Professional Solution Architect
- AWS Machine Learning Specialty
- Azure Solutions Architect Expert
- Gen AI
- LLM
- Huggingface
- python
- pytorch/tensor flow/keras
- Langchain
- Langgraph
- Docker
- Kubernetes
- ML Pipeline Design
- Design ML pipelines for experiment management, model management, feature management, and model retraining
- Design APIs for model inferencing at scale
- Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI
- LLM Serving and GPU Architecture
- Possess deep knowledge of GPU architectures
- Expertise in distributed training and serving of large language models
- Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM
- Model Fine-Tuning and Optimization
- Demonstrate proven expertise in model fine-tuning and optimization techniques
- Achieve better latencies and accuracies in model results
- Reduce training and resource requirements for fine-tuning LLM and LVM models
- DevOps and LLMOps Proficiency
- Proven expertise in DevOps and LLMOps practices
- Knowledgeable in Kubernetes, Docker, and container orchestration
- Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph
- DynamoDB
- Cosmos
- MongoDB
- RDS
- MySQL
- PostGreSQL
- Aurora
- Spanner
- Google BigQuery
- AWS/Azure/GCP
- Kubernetes
- Docker
- FluentD
- Kibana
- Grafana
- Prometheus
Desired Qualifications
- Certifications (if blank, certifications not specified)
- Accepting Feedback
- Active Listening
- Algorithm Development
- Alteryx (Automation Platform)
- Analytical Thinking
- Analytic Research
- Big Data
- Business Data Analytics
- Communication
- Complex Data Analysis
- Conducting Research
- Creativity
- Customer Analysis
- Customer Needs Analysis
- Dashboard Creation
- Data Analysis
- Data Analysis Software
- Data Collection
- Data-Driven Insights
- Data Integration
- Data Integrity
- Data Mining
- Data Modeling
- Data Pipeline
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