Genpact  global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire     to create lasting value for clients.

Genpact inviting applications for the role of Software Engineer – Generative AI.

Job Designation :  Software Engineer – Generative AI

Qualification : Bachelor’s Degree

Experience : Freshers / Experienced

Skill Set :

1. Strong understanding of generative AI models and algorithms.
2. Proficiency in at least one Generative AI Model (OpenAI ChatGPT, llama, Claude 2, etc.).
3. Expertise in Machine Learning and Python programming.
4. Familiarity with microservices and cloud platforms (Azure, AWS, GCP – one of Azure/AWS is mandatory).
5. Proficiency in Prompt Engineering techniques.
6. Familiarity with popular AI frameworks like TensorFlow, PyTorch, or Keras.
7. Experience with Databricks AI Platform or similar platforms.Knowledge of data preprocessing and data cleaning techniques.
8. Experience working with Vector Search Utility and RAG techniques.
9. Knowledge of reinforcement learning and transfer learning in the context of General AI.
10. Understanding of cognitive science principles and their application to AI development.
11. Excellent analytical and problem-solving skills.
12. Good communication and collaboration skills.
13. Ability to thrive in a fast-paced and dynamic environment.

Job Description :

Software Engineer  will be responsible for creating cutting-edge artificial intelligence solutions that possess a broad understanding of diverse tasks and domains. You will contribute to the development of intelligent systems capable of adapting and learning across a wide range of applications.

1. Develop and implement generative AI models and algorithms with a focus on Vector Search Utility and Retrieval-Augmented Generation (RAG) techniques.
2. Utilize knowledge mining techniques to extract information from multiple sources, including Salesforce, ServiceNow, and Confluence system.
3. Employ Prompt Engineering techniques to enhance the performance of AI models.
4. Collaborate with cross-functional teams to design and deploy microservices using Python, Flask/Django, and cloud platforms such as Azure or AWS.
5. Preprocess and clean data to ensure high-quality inputs for AI models.
6. Create comprehensive documentation of algorithms, models, and methodologies for knowledge transfer within the team.
7. Stay updated with the latest advancements in artificial intelligence, machine learning, and deep learning.
8. Apply deep learning architectures, neural networks, and machine learning techniques to improve AI models.
9. Contribute to the development of AI solutions using popular frameworks like TensorFlow, PyTorch, or Keras.
10. Utilize platforms like Databricks AI Platform or similar tools for efficient model development and deployment.
11. Apply analytical and problem-solving skills to address complex AI challenges.
12. Foster a collaborative and learning-oriented environment by actively sharing knowledge and insights.

Location : Noida, India