Gen AI Engineers

Job Summary

We are seeking a highly skilled Generative AI Specialist with years of experience in machine learning, deep learning, or AI research, with a focus on generative models. The ideal candidate will have strong expertise in data science, machine learning, and generative AI, 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

• Develop and implement machine learning/Generative AI Solutions 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 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.

Requirement & Qualification

• 4+ years of experience in machine learning, AI research, with a focus on Generative models.
• Experience with generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALLE).
• 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 Feature Engineering, document detail extraction, Agentic workflows, Vector databases, Prompt & Context Engineering, FastAPI and Application deployment exposure.
• Proficiency in data processing and manipulation techniques.
• Hands-on experience in building Proof of concept applications using Streamlit or similar tools.
• 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/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 (LLMs).
• Certifications in Data Science, Machine Learning, or AI.
• Hands-on experience with open-source LLMs and SLMs.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.