Senior AI Machine Learning Engineer Lead

11 hours ago

Hyderabad City Taluka, Pakistan beBeeMachineLearning Full time $180,000 - $250,000
Lead AI ML Innovator

This role involves spearheading innovation in machine learning solutions, driving scalability, flexibility, and future-proof architecture.

  • As a senior lead software engineer, you will work within an agile team to enhance, build, and deliver cutting-edge technology products.
  • The team focuses on creating trusted market-leading technology products in a secure, stable, and scalable manner.

You will contribute significantly to business impact through your capabilities and contributions, applying deep technical expertise and problem-solving methodologies to tackle diverse challenges.

Key Responsibilities:
  • Drive innovation in machine learning solutions for scalability, flexibility, and future-proof architecture.
  • Act as a thought leader and trusted advisor, providing strategic recommendations on machine learning initiatives and solutions.
  • Architect and oversee the development of next-generation machine learning models and systems using cutting-edge technologies.
  • Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics.
  • Promote software and model quality, integrity, and security across the organization.
Requirements:
  • 5+ years applied experience with formal training or certification in software engineering concepts.
  • Proven track record of building and scaling software and/or machine learning platforms in high-growth or enterprise environments.
  • Hands-on experience with software development frameworks and tools such as Java, Python, and JavaScript.
  • Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologies.
  • Experience with cloud platforms like AWS, GCP, or Azure.
  • Knowledgeable in machine learning frameworks, ML Ops tools, and practices.
  • Strong proficiency in programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation).
  • Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG-based solutions (e.g., open search).
  • Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD).
  • Hands-on experience with big data, pipeline, orchestration tools, and real-time processing frameworks.
  • Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.

Why this Role?

  • Opportunity to drive innovation and growth in machine learning.
  • Collaborative environment with experienced professionals.
  • Chance to develop and implement cutting-edge technologies.

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