Senior Engineer – Gen AI & AI / ML Senior developer

Senior Engineer Gen AI & AI / ML Senior developer

Roles and Responsibilities

• Establish AI Development Standards : Design and implement industry best practices for building testing and deploying scalable AI solutions(RAG Prompting Chat Completion Multi-agent Fine-Tuning) particularly focusing on generative models and large language models (LLMs) using both proprietary and open-source frameworks.
• Manage Infrastructure : Oversee the computing environment required for machine learning operations ensuring efficient use of cloud platforms data storage and computational resources.
• Automate Deployment Processes : Develop tools and frameworks to streamline the deployment of machine learning models into production ensuring reliability and efficiency.
• Version Control & Model Lifecycle Management : Implement structured processes for tracking different iterations of AI models ensuring reproducibility transparency and proper documentation.
• Monitor & Maintain Model Performance : Set up monitoring systems to track the accuracy health and reliability of deployed models. Implement strategies for ongoing improvements retraining and updates as needed.
• Collaborate with Engineering & Data Teams : Work closely with data scientists ML engineers and software developers to seamlessly integrate AI models into applications ensuring compatibility and scalability.
• Optimize Performance & Scalability : Enhance algorithms infrastructure and machine learning workflows to improve efficiency minimize latency and tackle scalability challenges.
• Implement CI / CD for ML Pipelines : Develop and maintain continuous integration and deployment pipelines tailored to AI / ML workflows automating testing validation and rollout processes.
• Diagnose & Resolve Technical Issues : Identify and troubleshoot problems in models data pipelines and infrastructure to minimize disruptions and ensure system reliability.
• Hands-on Front-End Development : Possess practical experience in front-end technologies like or enabling seamless integration of AI solutions into interactive user interfaces.
• Document & Share Knowledge : Maintain detailed documentation of processes configurations and best practices to support team collaboration and smooth onboarding of new members.
• Stay Ahead of Industry Trends : Continuously research and adopt the latest advancements in AI ML and generative models to drive innovation and operational improvements.
• Engage in Cross-Team Collaboration : Partner with stakeholders across data science engineering operations and business teams to align AI initiatives with broader organizational goals.

Mandatory skills and Experience

Key Skills

APIs,REST,Spring,SOAP,.NET,React,Node.js,Angular,J2EE,JavaScript,Web Services,Java

Employment Type : Full Time

Experience : years

Vacancy : 1