Tata Consultancy Servicess

Generative AI Engineer

We're looking for a Senior Software Developer with a passion for Generative AI. You'll design, develop, and deploy AI models using technologies like GPT, GANs, and Transformers. Experience with Python, TensorFlow, and PyTorch is essential. 

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 About the job
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 Senior Software Developer - Generative AILocation:BANGLORE,KOL,DEL,MUM,PUNE,INDOOR,CHENNAI,HYD Experience: 5-10 yearsJob Description: We are seeking an experienced Senior Software Developer with a focus on Generative AI to join our cutting-edge technology team. As a Senior Developer, you will be responsible for designing, developing, and deploying AI models that generate innovative and practical solutions across different domains. You will work in a dynamic, fast-paced environment and collaborate with cross-functional teams, including Data Scientists, Machine Learning Engineers, and Product Managers. Key Responsibilities: <ul><li>Design, develop, and implement AI models, especially focused on generative AI (e.g., GPT, GANs, Transformers).</li><li>Collaborate with research teams to implement state-of-the-art generative models in real-world applications.</li><li>Work closely with stakeholders to identify use cases and deliver generative AI-driven solutions for business needs.</li><li>Optimize and scale machine learning models for performance, accuracy, and reliability.</li><li>Ensure the proper integration of AI models with the company’s existing architecture and systems.</li><li>Develop APIs and services for deploying models in a scalable production environment.</li><li>Stay up-to-date with the latest advancements in AI and deep learning technologies.</li><li>Mentor junior developers and provide technical leadership within the AI team.</li></ul>
Required Skills &amp; Qualifications: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li>5-10 years of software development experience with at least 2-3 years of experience in Generative AI.</li><li>Strong experience with programming languages such as Python, TensorFlow, PyTorch, Keras, etc.</li><li>Proficiency in machine learning algorithms, deep learning models (e.g., GPT, BERT, GANs, VAEs), and natural language processing (NLP).</li><li>Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI/ML workloads.</li><li>Experience in deploying machine learning models in production environments.</li><li>Strong knowledge of algorithms, data structures, and software design patterns.</li><li>Excellent problem-solving, debugging, and optimization skills.</li><li>Familiarity with MLOps practices, CI/CD pipelines, and containerization tools like Docker and Kubernetes.</li><li>Strong communication skills and the ability to work collaboratively in a team environment.</li></ul>
Preferred Qualifications: <ul><li>Prior experience working with large language models and AI content generation applications.</li><li>Experience in reinforcement learning, computer vision, or other advanced AI techniques.</li><li>Knowledge of distributed systems and large-scale data processing.</li></ul>
Benefits: <ul><li>Competitive salary and performance-based bonuses.</li><li>Health and wellness benefits.</li><li>Opportunities for professional growth and development.</li><li>Flexible working hours and remote work options.</li></ul>
 
 
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