Data Scientist - Gen AI LLM

SourcingXPress; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

SourcingXPress is seeking a Data Science and Generative AI Specialist to drive cutting-edge AI projects. You will work on machine learning, deep learning, and generative models with focus on document detail extraction and data processing.

The role involves feature engineering, model deployment, and building data apps using Streamlit. Expect collaboration across teams and hands-on work with AWS/GCP/Azure, Docker, and Kubernetes.

Qualifications

• 4+ years of experience in machine learning or AI research with a focus on generative models.
• Experience with GANs, VAEs, and transformer-based models (GPT-3/4, BERT, DALL·E).
• Strong Python skills and familiarity with ML libraries and frameworks.
• Hands-on experience with data processing, feature engineering, and modeling.
• Experience building data apps or dashboards with Streamlit is preferred.
• Proficiency in prompt engineering, chain-of-thought methods, and AI agents.

Responsibilities

• Develop and implement ML and generative models for document detail extraction and data processing.
• Perform feature engineering to improve predictive models and data algorithms.
• Apply data augmentation and feature extraction to optimize training.
• Deploy generative AI models to production with scalable, reliable pipelines.
• Use cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) for deployment.
• Work with Python libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) for analysis and modeling.
• Create interactive data applications using Streamlit for stakeholders.
• Conduct prompt engineering to improve model performance and accuracy.
• Implement chain-of-thought techniques to enhance AI decision-making.
• Develop and deploy AI agents to automate industry-specific processes.
• Collaborate with cross-functional teams to tackle complex problems with generative AI.
• Continuously monitor and refine models to maintain performance and accuracy.
• Research latest generative AI advancements and apply to business problems.

Skills

Machine learning

Generative AI

Python

Data processing

Streamlit

TensorFlow

PyTorch

Prompt engineering

Chain-of-thought

AI agents

Tools

Streamlit

Docker

Kubernetes

AWS

GCP

Azure

Job description

Job Description

We are seeking a highly skilled Data Science and Generative AI Specialist with years of experience in machine learning, deep learning, or AI research. The candidate will focus on generative models and possess expertise in data science, machine learning, and generative AI. They should have 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 have advanced skills in prompt engineering, chain‑of‑thought techniques, and AI agents to drive our cutting‑edge projects forward.

Key Responsibilities

• Develop and implement machine learning and generative models for document detail extraction and data processing.
• Perform feature engineering to enhance predictive models and data algorithms.
• Implement advanced data augmentation, feature extraction, and data transformation techniques to optimize the training process.
• Deploy generative AI models into production environments, ensuring they are scalable, efficient, and reliable for real‑time applications.
• Use cloud platforms (AWS, GCP, Azure) and containerization tools (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.
• Develop and deploy AI agents to automate and optimize industry‑specific 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.

Requirements & Qualifications

• 4+ years of experience in machine learning or AI research, with a focus on generative models.
• Experience with generative models such as GANs, VAEs, 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 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 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, finance, or CPG supply‑chain sector.
• Familiarity with cloud‑based machine learning platforms such as Azure, AWS, or GCP.
• Proven experience working with OpenAI or similar large language models.
• Certifications in Data Science, Machine Learning, or AI.

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, and other protected classes. If you have a disability or special need that requires accommodation, please let us know during the hiring process so we can provide necessary accommodations.