Data Scientist - Generative AI Specialist

Data Scientist - Generative AI Specialist

Company: Celsior Technologies

Location: Trivandrum/Noida/Hyderabad

About Celsior Technologies

Celsior Technologies is a cutting-edge IT consulting and services company, a division of Pyramid Consulting, specializing in digital transformation, cloud migration, cybersecurity, data analytics, and IT managed services. We are positioned as a leader in the digital transformation space with an emphasis on data and insights, applied automation, and integrated security and network. We leverage innovative technology and services to help organizations build their digital future and transform how they work, serving a variety of industries including aviation, banking, healthcare, and technology. Our mission is to elevate customer experiences and engineer cutting-edge digital products through advanced data and AI solutions.

Job Overview

As a Data Scientist - Generative AI Specialist at Celsior Technologies, you will be instrumental in the design, development, and implementation of state-of-the-art Artificial Intelligence solutions, with a strong focus on Large Language Models (LLMs) and Generative AI. This role requires a blend of advanced analytical skills, deep technical expertise in machine learning and NLP, and the ability to translate complex business challenges into innovative, scalable AI products. You will be a key collaborator, working closely with cross-functional teams and clients to deliver high-quality, ethical, and performant generative AI solutions for enterprise use cases.

Key Responsibilities

AI Solution Development

• Contribute to the design and implementation of state-of-the-art AI solutions, specifically leveraging Generative AI and LLM techniques.
• Assist in the development and implementation of AI models and systems, focusing on advanced models like LLMs and generative architectures.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.

Technical Implementation & Optimization

• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing, model training, and deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs (e.g., RAG systems).
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Research & Strategy

• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.

Collaboration, Evaluation & Ethics

• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in all AI applications.

Qualifications

Education & Experience

• B.E/M. Tech degree in Data Science, Computer Science, or a related quantitative field.
• Minimum 3 years of experience in data analysis, machine learning, and user experience optimization, preferably within the mobile technology or a related digital industry.

Technical Skills

• Proficiency in data mining, statistical analysis, and machine learning techniques, with hands-on experience in Python (essential) or R, or similar programming languages.
• Strong understanding of Natural Language Processing (NLP) and language understanding models, with experience in training and deploying machine learning models for text analysis and interpretation.
• Practical experience with Large Language Models (LLMs) and Generative AI concepts and implementation.
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and MLOps principles.
• Working knowledge of SQL and distributed computing frameworks (e.g., Spark) is a plus.

Soft Skills

• Excellent problem-solving and analytical skills, with the ability to derive actionable insights from complex datasets and translate them into practical solutions for improving user experiences.
• Effective communication and collaboration skills, with the ability to work closely with cross-functional teams and clients to implement data-driven solutions and drive continuous improvement.