AI/ ML Engineer with Snowflake Cortex

** we are looking for immediate joiners only. If interested, please send an email to [HIDDEN TEXT] along with details : CTC, ECTC, Notice period and a brief summary of your Snowflake Cortex work (use cases, tools, outcomes) **Role OverviewWe are looking for an AI/ML Engineer to design and implement a solution leveragingSnowflake Cortexcapabilities. The role involves building intelligent workflows that guide oncology treatment decisions, integrate structured and unstructured data, and deliver actionable insights to clinicians and researchers.Key ResponsibilitiesDevelop AI-driven oncology navigation workflows usingSnowflake Cortex(Cortex Analyst, Cortex Search, Snowpark ML).Implementsemantic searchandLLM-based insightsfor clinical guidelines, trial matching, and patient pathways.Buildrecommendation enginesfor treatment options and trial eligibility.Integrate external oncology data sources (e.g., ClinicalTrials.gov, PubMed, EHR systems) into Snowflake.Design and deployML modelsfor patient stratification, risk scoring, and outcome prediction.Ensure compliance with healthcare data standards and security protocols.Integrate Cortex withStreamlit, Teams or Web application.Required SkillsSnowflake Expertise:Hands-on experience withSnowflake Cortex(Cortex Search, Cortex Analyst, Snowpark ML).Proficiency inSQL,Snowpark Python, and UDF development.AI/ML Skills:Strong understanding of machine learning and NLP for healthcare.Experience with LLM integration and prompt engineering.Healthcare Domain Knowledge:Familiarity with oncology workflows, clinical trials, and patient data.Data Integration:ETL pipeline development and integration of structured/unstructured data.Preferred Qualifications5 years in AI/ML engineering or data science roles.Experience in healthcare or life sciences analytics. ** we are looking for immediate joiners only. If interested, please send an email to [HIDDEN TEXT] along with details : CTC, ECTC, Notice period and a brief summary of your Snowflake Cortex work (use cases, tools, outcomes) **Role OverviewWe are looking for an AI/ML Engineer to design and implement a solution leveragingSnowflake Cortexcapabilities. The role involves building intelligent workflows that guide oncology treatment decisions, integrate structured and unstructured data, and deliver actionable insights to clinicians and researchers.Key ResponsibilitiesDevelop AI-driven oncology navigation workflows usingSnowflake Cortex(Cortex Analyst, Cortex Search, Snowpark ML).Implementsemantic searchandLLM-based insightsfor clinical guidelines, trial matching, and patient pathways.Buildrecommendation enginesfor treatment options and trial eligibility.Integrate external oncology data sources (e.g., ClinicalTrials.gov, PubMed, EHR systems) into Snowflake.Design and deployML modelsfor patient stratification, risk scoring, and outcome prediction.Ensure compliance with healthcare data standards and security protocols.Integrate Cortex withStreamlit, Teams or Web application.Required SkillsSnowflake Expertise:Hands-on experience withSnowflake Cortex(Cortex Search, Cortex Analyst, Snowpark ML).Proficiency inSQL,Snowpark Python, and UDF development.AI/ML Skills:Strong understanding of machine learning and NLP for healthcare.Experience with LLM integration and prompt engineering.Healthcare Domain Knowledge:Familiarity with oncology workflows, clinical trials, and patient data.Data Integration:ETL pipeline development and integration of structured/unstructured data.Preferred Qualifications5 years in AI/ML engineering or data science roles.Experience in healthcare or life sciences analytics.