Gen Ai and Llms

6 days ago

Remote, India Elfonze Technologies Full time

**Job Information**:
Date Opened
- 07/03/2025

Job Type
- Full time

Industry
- IT Services

Remote Job

This is a remote position.

**Job Summary**:
**Key Responsibilities**:
**1. Solution Architecture & Design**
- Design and architect GenAI solutions using **Azure AI (Azure OpenAI, Azure ML)** and/or **AWS AI/ML services (Bedrock, SageMaker, Comprehend, Lex)**.
- Define and manage **MLOps pipelines** for model training, deployment, and monitoring using Azure ML Pipelines or AWS SageMaker Pipelines.

**2. Development & Implementation**
- Develop and fine-tune LLMs using frameworks like **Hugging Face Transformers**, **LangChain**, **Semantic Kernel**, or **AWS LangChain SDK**.
- Implement **prompt engineering**, **retrieval-augmented generation (RAG)**, and **vector search** using **Azure AI Search**, **Amazon Kendra**, or **OpenSearch**.
- Build APIs and microservices to expose GenAI capabilities using **Azure Functions**, **AWS Lambda**, or containerized services.

**3. Production Deployment**
- Deploy GenAI models using **Azure Kubernetes Service (AKS)**, **Azure Container Apps**, **Amazon EKS**, or **Fargate**.
- Monitor and optimize model performance, latency, and cost in production environments using **Azure Monitor**, **AWS CloudWatch**, and **custom telemetry**.
- Implement **observability, logging, and alerting** for AI workloads across both platforms.

**4. Collaboration & Documentation**
- Collaborate with cross-functional teams including data scientists, DevOps, and product managers.
- Document architecture, design decisions, and operational procedures.
- Provide mentorship and conduct code reviews for junior developers.

**Required Skills & Qualifications**:
**Technical Skills**:

- Strong programming skills in **Python** (preferred), with experience in AI/ML libraries (e.g., PyTorch, TensorFlow).
- Deep knowledge of **Azure AI services** (Azure OpenAI, Azure ML, Cognitive Services) and/or **AWS AI/ML services** (Bedrock, SageMaker, Comprehend, Rekognition).
- Experience with **cloud architecture**, **DevOps**, and **Infrastructure as Code** (Terraform, Bicep, AWS CloudFormation).
- Familiarity with **LLM orchestration frameworks**: LangChain, Semantic Kernel, Prompt Flow.
- Experience with **vector databases**: Azure AI Search, Amazon Kendra, Pinecone, FAISS, Weaviate.

**Soft Skills**:

- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work in a fast-paced, agile environment.

**Preferred Qualifications**:

- Microsoft Certified: Azure AI Engineer Associate or Azure Solutions Architect Expert.
- AWS Certified Machine Learning - Specialty or AWS Solutions Architect - Professional.
- Experience with **multi-modal GenAI** (text, image, audio).
- Knowledge of **responsible AI**, **data privacy**, and **model governance**.

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