- Design build and deploy AI/ML solutions using Python.
- Develop and integrate solutions using OpenAI APIs and LLM-based workflows.
- Build AI-driven applications and prototypes using Streamlit.
- Leverage Snowflake for analytics feature engineering and inference.
- Develop scalable production-ready ML pipelines.
- Collaborate with product data engineering and business teams.
- Optimize model performance reliability and cost.
- Support deployment monitoring and iteration of AI/ML applications.
- Contribute to AI architecture and best practices.
Qualifications :
- 8 years of experience with Python.
- Hands-on experience with OpenAI APIs and prompt engineering.
- Strong experience with Snowflake.
- Experience building Streamlit applications.
- Experience with application deployment and CI/CD.
- Solid understanding of ML concepts and data pipelines.
- Experience working in Agile environments.
- Bachelors or Masters degree in Computer Science Data Science or related field preferred.
Additional Information :
What does IntegriChain have to offer
- Mission driven: Work with the purpose of helping to improve patients lives!
- Excellent and affordable medical benefits non-medical perks including Flexible Paid Time Off and much more!
- Robust Learning & Development opportunities including over 700 development courses free to all employees
#LI-DV1
IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment selection and employment without regard to race color religion national origin ethnicity age sex marital status physical or mental disability gender identity sexual orientation veteran or military status or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion and an environment free from discrimination harassment and retaliation.
Remote Work :
No
Employment Type :
Full-time
Design build and deploy AI/ML solutions using Python.Develop and integrate solutions using OpenAI APIs and LLM-based workflows.Build AI-driven applications and prototypes using Streamlit.Leverage Snowflake for analytics feature engineering and inference.Develop scalable production-ready ML pipelines...
- Design build and deploy AI/ML solutions using Python.
- Develop and integrate solutions using OpenAI APIs and LLM-based workflows.
- Build AI-driven applications and prototypes using Streamlit.
- Leverage Snowflake for analytics feature engineering and inference.
- Develop scalable production-ready ML pipelines.
- Collaborate with product data engineering and business teams.
- Optimize model performance reliability and cost.
- Support deployment monitoring and iteration of AI/ML applications.
- Contribute to AI architecture and best practices.
Qualifications :
- 8 years of experience with Python.
- Hands-on experience with OpenAI APIs and prompt engineering.
- Strong experience with Snowflake.
- Experience building Streamlit applications.
- Experience with application deployment and CI/CD.
- Solid understanding of ML concepts and data pipelines.
- Experience working in Agile environments.
- Bachelors or Masters degree in Computer Science Data Science or related field preferred.
Additional Information :
What does IntegriChain have to offer
- Mission driven: Work with the purpose of helping to improve patients lives!
- Excellent and affordable medical benefits non-medical perks including Flexible Paid Time Off and much more!
- Robust Learning & Development opportunities including over 700 development courses free to all employees
#LI-DV1
IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment selection and employment without regard to race color religion national origin ethnicity age sex marital status physical or mental disability gender identity sexual orientation veteran or military status or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion and an environment free from discrimination harassment and retaliation.
Remote Work :
No
Employment Type :
Full-time
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