Experience:

• 4-6 Years

Qualification:

• 4+ years of experience in machine learning, Al 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, 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 Al agents

Role Focus:

• Develop and implement machine learning/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 Al models into production environments, ensuring they are scalable, efficient, and reliable for real-time applications
• 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, TensorF10W, and pyTorch for data analysis, processing, and model development
• Create interactive data applications using Streamlit for various stakeholders
• Conduct prompt engineering to optimize Al models' performance and accuracy
• Implement chain Of thought techniques to improve Al decision-making processes
• Develop and deploy Al agents to automate and optimize (industry-specific) processes
• Collaborate With cross-functional teams to identify and solve complex problems using generative Al 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 Al techniques and apply them to real-world business problems

Nice 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 OpenAl or similar large language models (LLMs)
• Certifications in Data Science, Machine Learning, or Al

More skills:

Data Science, GPT, VAEs (Variational Autoencoders)

Other:

• 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, etc.
• If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations