Experience:

• 5 - 8 Years
• 3–5 years of professional experience in AI/ML development
• Exposure to Generative AI
• Experience delivering AI/ML projects in a collaborative setting

Qualification:

• Bachelor of Engineering
• Bachelor Of Technology
• Bachelor Of Science
• Bachelor Of Comp. Applications
• Master Of Technology
• Master Of Engineering
• Master Of Science
• Master Of Comp. Applications
• Bachelor’s degree in Computer Science, Data Science, AI, or a related field
• Master’s degree in Computer Science, Data Science, AI, or a related field

Responsibilities:

• Implement and fine-tune generative AI models under the guidance of senior team members
• Contribute to prompt engineering and development of AI-powered workflows
• Assist with deployment, monitoring, and maintenance of AI models in production environments
• Collaborate with data scientists and engineers to integrate AI capabilities
• Perform data preprocessing, feature engineering, and API development for AI applications
• Participate in code reviews, testing, and documentation to ensure quality and reliability
• Stay updated with advancements in GenAI and share relevant learnings with the team

Additional responsibilities:

• Strong teamwork and communication abilities
• Willingness to learn new AI/ML technologies and frameworks
• Analytical mindset and attention to detail
• Openness to feedback and continuous improvement

Nice to have:

• Exposure to cloud-based AI/ML environments such as AWS, GCP, or Azure
• Experience with generative AI tools such as LangChain, Hugging Face, or LlamaIndex
• Exposure to RAG systems
• Basic knowledge of hybrid search techniques
• Technology: AI-Generative AI-Conversational AI Platform
• Technology: AI-Generative AI-Generative AI - Basic
• Technology: AI-AI Engineering-AI/ML Solution Architecture and Design-generative ai
• Technology: AI-Generative AI-Generative AI for Data Analytics
• Technology: AI-Generative AI-Prompt Engineering

More skills:

AI/ML development, AI-powered workflows, AI model deployment, Model monitoring, Model maintenance, Data preprocessing, Feature engineering, API development, Code reviews, Testing, Documentation, Fine-tuning, RAG systems, Docker, Git, AWS, GCP, Azure, AI compliance, Data privacy, Responsible AI, Conversational AI, AI/ML solution architecture, AI for data analytics

Other:

• Job ID/Reference Code: INFSYS-EXTERNAL-249852
• Service Line: Engineering Services
• Educational Requirements listed in the JD include multiple engineering, science, and computer applications degrees