Generative AI Engineer

Role overview

Generative AI Engineer at Techolution

Responsibilities

• Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments.
• Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions.
• Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems.
• Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations.

Required qualifications

• Prior experience in leading small teams or mentoring junior engineers, demonstrating potential for future growth into leadership roles within the AI department.

Employment details

• Location: Hyderabad [India]

Application details

• Deep Learning: Strong foundation in deep learning principles and architectures, with the ability to apply them to solve complex real-world problems.

About the employer

• As a Mid-Level Generative AI Engineer at Techolution, you'll be at the forefront of innovation, fine-tuning cutting-edge LLMs like Falcon, LLaMA, and PaLM 2.

Additional role details

• Are you ready to shape the future of AI?
• Dive deep into the world of NLP, vector databases, and deep learning frameworks to create groundbreaking solutions.
• Your expertise in Python, PyTorch, and TensorFlow will drive the development of next-generation AI applications.
• Join our dynamic team and turn visionary concepts into reality, while collaborating with cross-functional experts to integrate ML solutions that redefine industries.
• Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation.
• Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance.
• Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks.
• Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization.
• Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation.
• Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations.
• Large Language Models (LLMs): Proven expertise in working with state-of-the-art LLMs, including fine-tuning, prompt engineering, and integration into production systems.
• Retrieval-Augmented Generation (RAG): Demonstrated ability to implement RAG techniques to enhance AI model performance and accuracy in information retrieval tasks.
• Fine-tuning: Proficiency in adapting pre-trained models to specific domains and tasks, optimizing their performance for targeted applications.
• Vector Databases: Hands-on experience with vector databases for efficient storage and retrieval of high-dimensional data in AI applications.
• Generative AI: Comprehensive understanding of generative AI techniques and their practical applications in various industries.
• AI Agents: Experience in designing and implementing AI agents that can autonomously perform tasks and make decisions.
• Ownership: Demonstrated ability to take full responsibility for projects, driving them from conception to successful completion.
• Seeker Mindset: Proactive approach to learning and exploring new technologies, constantly seeking ways to improve and innovate.
• Passionate Towards Work: Genuine enthusiasm for AI and its potential to transform industries, reflected in a commitment to excellence and continuous improvement.
• Extremely Ambitious: Drive to push boundaries and set high goals, both personally and for the team, to achieve groundbreaking results in AI development.
• Ability to Comprehend: Exceptional skill in quickly grasping complex AI concepts and translating them into practical, impactful solutions.
• Computer Vision: Familiarity with computer vision techniques and frameworks, enabling the integration of visual data processing capabilities into AI solutions.
• Cloud Deployment: Experience with deploying AI models and applications on cloud platforms, ensuring scalability and reliability in production environments.
• Leadership