Data Scientist

We have a new opportunity for "Data Scientist " with our client. Interested candidates send me your CV to

Title : Data Scientist

Location : Offshore India-Bangalore

Duration : 3 Months

Job Summary: Data Scientist {GenAI} Function:

The Data & Analytics team is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank.

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.

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.

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.
• roficiency 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.

Interested candidates send me your CV with below details.

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