16 Job openings found

  Experience Range: 5 to 12 yrs (min 4 years relevant) Responsibilities: Enable Model tracking, model experimentation, Model automation Develop ML pipelines to support  Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS. Work ...

Experience & Skills: Proficiency with python and the python ML tool kit along with DL frameworks Experience with working on end to end solutions and comfortable with cloud based ML-Opspipelines Experience fine-tuning deep learning models including LLMs Experience with GPUs and understanding of balancing costs at both training and inference ...

Senior NLP Data Scientist   Job Summary: Client is seeking a highly skilled and experienced Senior NLP data scientist with expertise in large language models (LLM) and prompt engineering techniques. The ideal candidate will have a minimum of 3-4 years of experience in classic NLP techniques and LLMs, as well as ...

Why This Role Matters We’re looking for a Principal Engineer to lead the architecture and execution of our GenAI-powered, self-serve marketing platforms. You will work directly with the CEO to shape, build, and scale products that change how marketers interact with data and AI. This is intrapreneurship in action — not ...

About the role: We are seeking a machine learning engineer who will be working on business problems to drive value for the customers by bringing the best AI to the industry.   Once you're here, you'll help to make important strategic decisions that influence the direction of the company. More Specifically: Work with ...

Proficiency with python and the python ML tool kit along with DL frameworks Experience with working on end to end solutions and comfortable with cloud based ML-Ops pipelines Experience fine-tuning deep learning models including LLMs Experience with GPUs and understanding of balancing costs at both training and inference Comfortable in deploying end to end ...