Description

Requirements {GenAI Specialist}
We are seeking a highly skilled Data Science and Generative AI Specialist with 4+ years of experience within advanced machine learning, deep learning, or AI research, with a focus on generative models. 

The ideal candidate will have strong expertise in data science, RAG, generative AI and agentic framework, with specific experience in document detail extraction, feature engineering, data
processing using Python, and familiarity with tools such as Streamlit for data app creation. The candidate must also possess advanced skills in prompt engineering, chain of thought techniques, and AI agents to drive our cutting-edge projects forward.

Key Responsibilities:
• Design, develop, and deploy Generative AI solutions using models such as transformers, LLMs, SLMs and diffusion models to solve real-world business problems.
• Deploy generative AI models into production environments, ensuring they are scalable, efficient, and reliable for real-time applications.
• Build and optimize pipelines, including data ingestion, preprocessing, annotation, and augmentation, and implement RAG & Agentic frameworks as per the requirements.
• Use cloud platforms (AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes) for model deployment and scaling.
• Utilize Python and libraries such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch for data analysis, processing, and model development.
• Create interactive data applications using Streamlit for various stakeholders.
• Conduct prompt engineering to optimize AI models’ performance and accuracy.
• Implement chain of thought techniques to improve AI decision-making processes.
• Collaborate with cross-functional teams to identify and solve complex problems using generative AI and data science techniques.
• Continuously monitor, evaluate, and refine models to ensure performance and accuracy.
• Conduct in-depth research on the latest advancements in generative AI techniques and apply them to real-world business problems.

Qualifications:
• 4+ years of total experience with 2+ year as AI engineer with a focus on generative models, fine-tuning and evaluating LLMs/SLMs (e.g., prompt engineering, RLHF, model alignment)
• Experience with generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL·E).
• Understanding of model fine-tuning, transfer learning, and prompt engineering in the context of large language models (LLMs).
• Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
• Strong programming skills in Python and familiarity with relevant libraries and frameworks.
• Proven experience in document detail extraction and feature engineering.
• Proficiency in data processing and manipulation techniques.
• Hands-on experience in building data applications using Streamlit or similar tools.
• Advanced knowledge in prompt engineering, chain of thought processes, and AI agents.
• Excellent problem-solving skills and the ability to work effectively in a collaborative environment.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Good to Have:
• Experience in the [banking/financial services/industry-specific] sector.
• Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP.
• Proven experience working with OpenAI or similar large language models (LLMs).
• Certifications in Data Science, Machine Learning, or AI

Key Skills

Education

Any Graduate