Company Description Winbold is a startup working on a AI driven investment platform. Job Description This requires immediate joining. Do not apply if you have notice period. We are looking for a very motivated Data Science and Machine Learning Engineer with hands-on experience in feature engineering, model training and building models that run and provide real-time predictions and forecasts. The candidate must be well versed with the following: ML Packages - sklean, xgboost, timeseries models Feature engineering and feature stores MLFlow for Model experimentation Model visualization Model deployment in Cloud and in hosted environments at scale AI driven developers are welcome!! For immediate consideration you can send email to me directly with a brief note to apply @ winbold.com You must be able to join immediately. Qualifications We dont care what degree you have or if you have one. We want a hands-on developer who can get shit done. Additional Information All your information will be kept confidential according to EEO guidelines.
Company Description Winbold is a startup working on a AI driven investment platform. Job Description This requires immediate joining. Do not apply if you have notice period. We are looking for a very motivated Data Science and Machine Learning Engineer with hands-on experience in feature engineering, model training and building models that run and provide real-time predictions and forecasts. The candidate must be well versed with the following: ML Packages - sklean, xgboost, timeseries models Feature engineering and feature stores MLFlow for Model experimentation Model visualization Model deployment in Cloud and in hosted environments at scale AI driven developers are welcome!! For immediate consideration you can send email to me directly with a brief note to apply @ winbold.com You must be able to join immediately. Qualifications We dont care what degree you have or if you have one. We want a hands-on developer who can get shit done. Additional Information All your information will be kept confidential according to EEO guidelines.
Company Description Winbold is a startup working on a AI driven investment platform. Job Description This requires immediate joining. Do not apply if you have notice period. !!!! Must know one of the frameworks - LangGraph or Agno or Google ADK (preferred) !!!! We are a startup using AI and LLMs for Investment management. We are looking for a developer to build AI Agent systems. Looking for someone who has the following skills/experience Must have hands on experience of AI Agent frameworks like Langgraph/Agno/Google ADK Must know how to use and build MCP servers and connect agents to the MCP servers Must know how to monitor Agent executions Must know how to use Agent Memory / Long running agents Must know how use RAG, Prompt Engineering, Agent Memory Must know how to use reasoning models / planning agents for task planning Bonus if you know how to train and use reasoning models. For immediate consideration you can send email to me directly with a note on why you think you are the better suited for this role at apply at winbold.com (No freshers please and no agencies) Qualifications We dont care what degree you have or if you have one. We want a hands-on developer who can get shit done Additional Information All your information will be kept confidential according to EEO guidelines.
Role Overview: You will be joining Winbold, a startup focused on an AI-driven investment platform. As a Data Science and Machine Learning Engineer, you will be responsible for hands-on tasks such as feature engineering, model training, and building predictive models for real-time predictions and forecasts. You should have expertise in ML Packages like sklearn, xgboost, and timeseries models, along with experience in feature engineering, MLFlow for model experimentation, model visualization, and deploying models in Cloud and hosted environments at scale. Developers with AI-driven mindset are encouraged to apply. Immediate joining is required, and candidates with notice period should not apply. Key Responsibilities: - Hands-on experience in feature engineering, model training, and building predictive models - Proficiency in ML Packages such as sklearn, xgboost, and timeseries models - Experience in feature stores and MLFlow for model experimentation - Ability to visualize models effectively - Deployment of models in Cloud and hosted environments at scale Qualifications: - No specific degree requirement - Looking for a hands-on developer who can efficiently complete tasks (Note: Omitting the "Additional Information" section as it does not contain relevant details about the job role),