GenAI Developer
Infosys · Bengaluru East, Karnataka, India
- On site
- Full-time
- $120,000 / year
- Bengaluru East, Karnataka, India
Job highlights
- Develop cutting-edge Generative AI and NLP solutions.
- Collaborate on integrating AI into existing systems.
- Research and implement latest AI advancements.
- Mentor junior engineers and share knowledge.
- Deploy AI models in production environments.
About the role
About the Job
Join our dynamic team as a Generative AI Engineer, where innovation meets creativity! We are seeking passionate individuals who thrive in a collaborative environment and are eager to push the boundaries of technology. In this role, you will be at the forefront of developing cutting-edge AI solutions, harnessing the power of Generative AI and NLP to transform ideas into reality. If you are driven by curiosity and are excited about the potential of AI, this is the perfect opportunity for you to make a significant impact and grow your career in a supportive and forward-thinking company.
Key Responsibilities
- Design and implement advanced Generative AI models to solve complex problems.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Conduct research and stay updated with the latest advancements in NLP and AI technologies.
- Develop scalable and efficient AI algorithms to enhance product offerings.
- Mentor junior team members and share knowledge to foster a culture of learning.
Minimum Qualifications
- Bachelor's degree in Technology (B.Tech) or related field.
- 5+ years of experience in Generative AI, NLP, and Artificial Intelligence.
- Proven track record of successfully deploying AI models in production environments.
Preferred Qualifications
- Strong communication skills to effectively collaborate with stakeholders.
- Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar.
- Ability to work independently and manage multiple projects simultaneously.
- Demonstrated problem-solving skills and a proactive approach to challenges.
Good to have skills
- Machine Learning
- Data Analysis
- Deep Learning
- Python Programming
- Cloud Computing
Key skills/competency
- Generative AI Engineer
- Generative AI
- NLP
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Python Programming
- Cloud Computing
- TensorFlow
- PyTorch
Skills & topics
- Generative AI Engineer
- Generative AI
- NLP
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Python
- Cloud Computing
- TensorFlow
- PyTorch
- AI Development
- Software Engineering
- Tech
- Engineering
How to get hired
- Tailor your resume: Highlight your 5+ years of experience in Generative AI, NLP, and AI, specifically mentioning deployed production models.
- Showcase technical skills: Emphasize your proficiency with AI frameworks like TensorFlow and PyTorch, and 'good to have' skills such as ML, Deep Learning, and Python.
- Demonstrate collaborative spirit: Use examples of working with cross-functional teams and mentoring junior members in your application.
- Prepare for technical interviews: Be ready to discuss your experience with designing and implementing Generative AI models and algorithms.
- Research Infosys: Understand their focus on innovation and technology transformation to align your application with their values.
Technical preparation
Master Generative AI and NLP concepts.,Practice with TensorFlow or PyTorch.,Build and deploy a small AI project.,Understand cloud AI services.
Behavioral questions
Describe a complex AI problem you solved.,How do you stay updated with AI trends?,Share an experience mentoring junior engineers.,How do you handle project challenges independently?
Frequently asked questions
- What specific Generative AI models are commonly used at Infosys for this role?
- While specific models can vary, experience with foundational models for Natural Language Processing (NLP) and image generation, such as those built using architectures like Transformers, is highly valued for a Generative AI Engineer at Infosys. Familiarity with tools like TensorFlow and PyTorch is essential for implementing and fine-tuning these models.
- How does Infosys foster a culture of learning for Generative AI Engineers?
- Infosys promotes a learning culture through initiatives like knowledge sharing sessions, mentorship programs where senior engineers guide junior team members, and encouraging continuous research into the latest AI advancements. As a Generative AI Engineer, you'll have opportunities to learn and grow within a forward-thinking environment.
- What is the typical project lifecycle for a Generative AI Engineer at Infosys?
- The project lifecycle typically involves understanding business problems, designing AI solutions, developing and training models (often using Generative AI and NLP), integrating them into production systems, and ongoing monitoring and improvement. Your role as a Generative AI Engineer will span across these phases.
- Does Infosys provide opportunities to work with cloud platforms for AI development?
- Yes, Cloud Computing is listed as a 'good to have' skill, indicating that experience with cloud platforms for AI development, deployment, and scaling is beneficial. Infosys leverages cloud technologies to build robust and scalable AI solutions.
- How important is prior experience in deploying AI models to production for this Generative AI Engineer role at Infosys?
- A proven track record of successfully deploying AI models in production environments is a minimum qualification for this Generative AI Engineer position. This demonstrates your ability to not only develop sophisticated AI but also to bring it to life and make a tangible impact.
- What level of collaboration can I expect as a Generative AI Engineer at Infosys?
- Collaboration is key. As a Generative AI Engineer, you will work closely with cross-functional teams to integrate AI solutions, ensuring that the developed technologies align with broader business objectives and existing systems.