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Live Connections Placements Pvt. Ltd., or LiveC as we are popularly known as, is a 30+ year old search and recruitment organisation that specializes in finding and placing professionals across several sectors around the globe.
Mandatory Skills: Gen AI/Agentic AI solutions for automation,Langgraph/ Langchain, ADK, Python, Java, LLM,integration solution, AI/ML
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and deployment of AI and machine learning models ensuring scalability and reliability.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional efforts to align AI initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python (Programming Language).
- Strong experience in developing and deploying AI and machine learning models using Python.
- Familiarity with cloud AI services and integrating AI solutions into production pipelines.
- Knowledge of generative AI models and their practical applications.
- Experience with deep learning frameworks and neural network architectures.
- Ability to work with image processing and chatbot development technologies.
Additional Information:
- The candidate should have minimum 12 years of experience in Python (Programming Language).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Job ID: 152929341
Skills:
MLops, compliance alignment, agent workflow orchestration, evaluation dataset design, defining guardrails standards, LLMOps, AI GenAI architecture patterns, corpus preparation, prompt lifecycle management, CI CD, Security-by-design, network boundaries, monitoring approach, embedding design, retrieval strategy, Data strategy architecture, Governance guardrails, model registry, deployment strategy, Access Control, solution reference architectures
Skills:
data quality assurance , object storage , Kafka, Azure DevOps, Azure, Jenkins, Spark, AWS Bedrock, Feast, distributed query engines, OpenAI, Amazon Deequ, Data Architecture for AI, cloud native ETL, DataHub, Apache Atlas, Power BI with Copilot, LangChain, CrewAI, data lakehouses, LangGraph, GitHub Actions, ELT frameworks, platform integration, Vertex AI, Great Expectations, Google ADK, Evidently, AutoGen
Skills:
process mining , Ibm Watson, Cloud, MLops, multi-agent orchestration, Claude, Business Process Mapping, Responsible AI frameworks, LLM architecture, Azure AI Copilot, GenAI architecture, IT enterprise architecture concepts, Google Vertex AI, observability, API-first, AI architecture, prompt engineering, agentic workflows, RAG, MCP, cloud AI platforms, AI governance, Gemini, Amazon Bedrock
Skills:
scalable systems , Machine Learning, Tensorflow, MLops, Pytorch, Terraform, Kubernetes, Python, Logging, LangChain, GenAI, Generative AI, Model Routing, LLMs, RAG systems, LLMOps, Hugging Face, ML libraries, transformer architectures, LlamaIndex, Observability, Agent Context Management
Skills:
Enterprise Application Integration, LLM ecosystems, AWS Bedrock, AI agents integrations, vector databases, model orchestration, Azure OpenAI, Monitoring, AI architecture, Agentic AI, Security, data ingestion, cloud-native platforms, RAG pipelines