6 Rag Implementations Jobs

Job Description Responsible for designing software architecture and (or) delivery & deployment of the solution, driving automation, and improving operational efficiencies. This is a tactical role which defines the direction of new solutions, processes, standards based upon business strategy or customer need, with a significant mid-term impact on business unit overall results. Responsibilities Understanding new requirements/charters and analysis Leads discussions with cross functional teams and stake holders to evaluate feasibility, technical specifications, cost-benefit analysis, etc. Define the software roadmap to meet business needs and operational aspects, secure and scalable. Creating & ...

Job Description Responsible for designing software architecture and (or) delivery & deployment of the solution, driving automation, and improving operational efficiencies. This is a tactical role which defines the direction of new solutions, processes, standards based upon business strategy or customer need, with a significant mid-term impact on business unit overall results. Responsibilities Understanding new requirements/charters and analysis Leads discussions with cross functional teams and stake holders to evaluate feasibility, technical specifications, cost-benefit analysis, etc. Define the software roadmap to meet business needs and operational aspects, secure and scalable. Creating & ...

Role Overview: As a AI Model Development and Deployment Lead, your main responsibility will be to collaborate with ML Engineers and DevOps Engineers in formulating AI designs that can be built, tested, and deployed through the Route to Live and into Production using continuous integration/deployment processes. Key Responsibilities: - Model fine-tuning using open-source libraries like DeepSpeed, Hugging Face Transformers, JAX, PyTorch, and TensorFlow to improve model performance - Model deployment and maintenance, which involves deploying and managing Large Language Models (LLMs) on cloud platforms - Data management and pipeline operations, including curating and preparing training data, tran...

As a Senior Machine Learning Engineer at CredArtha, you will be pivotal in transforming financial intelligence with FINA (Financial Intelligence & Neural Analyst). Your primary responsibilities will include: - **LLM Development & Optimization:** - Design, train, and fine-tune FINA using open-source LLMs like LLaMA, Falcon, Mistral, and GPT-J for financial applications. - Employ parameter-efficient fine-tuning (PEFT) techniques to boost model efficiency while maintaining accuracy. - Integrate self-learning mechanisms to ensure continuous evolution of FINA through user interactions and real-time financial data ingestion. - **NLP & Financial Data Processing:** - Create and enhance NLP models fo...

As a Senior Data Scientist, your role involves designing, developing, and deploying advanced AI/Data Science solutions with a focus on scalability and ethical AI. You will apply your expertise in machine learning frameworks and advanced techniques such as LLM fine-tuning, RAG implementations, and evaluation methods. Conducting applied research in areas like fraud detection, risk modeling, and automation will be part of your responsibilities. Additionally, you will perform data analysis and profiling on large datasets using SQL/KQL, collaborate with data engineers, and create Power BI dashboards aligned with business use cases. Your role will also require translating business needs into techn...

The role requires you to lead the collaboration with ML Engineers and DevOps Engineers to formulate AI designs that can be built, tested, and deployed through the Route to Live and into Production using continuous integration/deployment. In this role, you will be responsible for Model Development & Deployment, including model fine-tuning using open-source libraries like DeepSpeed, Hugging Face Transformers, JAX, PyTorch, and TensorFlow to enhance model performance. You will also work on deploying and managing Large Language Models (LLMs) on cloud platforms, training and refining LLMs, and scaling LLMs up and down while ensuring blue/green deployments and roll back bad releases. Your tasks wi...