Job Description

Required Skills : AI & ML, Docker, Kubernets, Node Red, Javascripts, Python, Machine learning, L L M S, Architecture diagrams

Role Title: Engineering Lead

Location: Trivandrum / Mohali / Remote

Experience : 12-18 Years

Educational Qualification : Bachelor / Master's degree in CS/ME/IT

Role & Responsibilities:

Project Leadership: Lead and manage multiple projects across time zones, ensuring timely delivery and alignment with business goals.

Architecture & Design: Develop and review high-level architecture diagrams, design models, and flow charts to ensure technical alignment with project requirements.

Cross-functional Collaboration: Work closely with stakeholders to understand project requirements, translating them into actionable plans for the development team.

Technical Guidance: Provide expert-level guidance in Python and JavaScript development; familiarity with Node-RED is a plus.

Network & Security: Oversee the integration of secure network designs, implement best practices in security, and ensure robust data protection measures.

Containerization & Orchestration: Deploy solutions in containerized environments, leveraging Docker, Kubernetes, and other orchestration tools.

Cloud Solutions: Manage deployments in cloud environments, specifically AWS and Azure, ensuring scalability, security, and cost-effectiveness.

AI & ML: Lead AI and machine learning projects, with a focus on understanding large language models (LLMs), deep learning architectures, and implementing ML models into production.

Requirements:

Experience: 10+ years in software development and/or machine learning projects.

Technical Proficiency: Strong programming skills in Node.js, Python and JavaScript, with knowledge of Node-RED as a plus.

Architecture & Design Skills: Demonstrated ability to create comprehensive architecture diagrams and design documents; experience with Figma or other design tools.

Network & Security: In-depth understanding of network architecture, cybersecurity best practices, and secure code development.

Version Control: Proficient with code versioning tools and best practices (e.g., Git).

Containerization: Expertise with Docker and Kubernetes for containerization and orchestration.

Cloud Expertise: Hands-on experience with AWS and Azure environments, with an understanding of cloud-native development and architecture.

Preferred Skills

Machine Learning: Familiarity with LLMs, deep learning architectures, and the broader ML model lifecycle.

Communication: Strong interpersonal skills to bridge communication between technical and non-technical team members.

Continuous Improvement: Proactive mindset towards optimizing processes, enhancing workflows, and ensuring high-quality code delivery.

Job Type: Full-time

Pay: ?324,013.09 - ?1,654,650.50 per year

Schedule:

• Day shift

Experience:

• total work: 10 years (Required)

Work Location: Remote