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eligarf Technologies

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4.3

based on 188 Reviews

6 eligarf Technologies Jobs

Technology Team Lead

SYSTEMS PLUS TRANSFORMATIONS LIMITED LIABLITY PARTNERSHIP

4.3

based on 188 Reviews

10-15 years

Pune

1 vacancy

Technology Team Lead

eligarf Technologies

posted 16d ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Automation Testing Data Privacy CCTV Monitoring Agile Coaching

+ 4 more

Job Description

Technology Leadership: Define and drive the AI and cloud strategy, ensuring alignment with business goals and technical feasibility.
Team Management: Lead, mentor, and scale a high-performing AI engineering team, fostering innovation and technical excellence.
AI-Driven Product Development: Oversee the development of AI solutions, including AI Agents, LLM-based applications, and vector database-driven search.
Cloud & AI Infrastructure: Architect and optimize AWS-based AI/ML infrastructure, ensuring scalability, security, and performance.
AI Model Deployment & MLOps: Drive AI model deployment strategies, optimizing for real-time inference and production readiness.
Agile & DevOps: Implement Agile best practices using JIRA, Confluence, and CI/CD workflows for AI and cloud applications.
Stakeholder Collaboration: Work closely with business leaders, product managers, and cross-functional teams to align technical roadmaps with business priorities.
Security & Compliance: Advocate DevSecOps best practices, integrating security into AI model training and deployment.
Innovation & Continuous Improvement: Stay ahead of AI advancements, emerging AWS services, and evolving best practices to drive innovation.
Requirements
- 10+ years of experience in software engineering and technology leadership, with a strong focus on AI, cloud, and large-scale architectures.
- Deep expertise in Python for AI/ML model development, data engineering, and automation.
- Strong AWS experience, including SageMaker, Bedrock, Lambda, DynamoDB, API Gateway, Step Functions, and vector databases (FAISS, Pinecone, Weaviate).
- Proven experience in AI Agents (LangChain, AutoGPT, OpenAI APIs) and generative AI applications (text-to-video, speech synthesis).
- Hands-on experience with vector search, LLM fine-tuning, and retrieval-augmented generation (RAG).
- Expertise in Agile processes, stakeholder management, and cross-functional leadership.
- Experience implementing CI/CD for AI workflows, using GitHub Actions, Terraform, and Docker.
- Proficiency in data engineering for AI applications, including real-time streaming (Kafka, Kinesis), SQL/NoSQL databases.
- Ability to work in a UK time zone and lead distributed teams.
  
  Preferred Qualifications: