Verified Job
IT / Software / Data Analyst
AWS Data Scientist
IT / Software / Data Analyst
#707248
Remote / WFH
Job Description
Job Description
Job Title : - Data Science/MLOps Engineer
Location : - Houston, TX (3 days onsite/Week)
Type of Employment : - Contract
Duration : - Long Term
Note : - The final interview will be in person. If the candidate is local, they will need to attend in Houston, TX. If the candidate is non-local, they will be required to visit a nearby location for the in-person interview.
What we are looking for !
Build, deploy, and operationalize scalable AI-powered clinical NLP and machine learning solutions using deep learning, LLMs, and cloud-native big data platforms in healthcare environments.
we are looking for candidates who have strong hands-on experience in:
• MLOps practices (model deployment, monitoring, CI/CD, automation, retraining)
• Cloud-based ML platforms and production environments
• Data Science and applied machine learning
Mandatory skills
• Strong hands-on expertise in Natural Language Processing (NLP), machine learning, and deep learning
• Proficiency in Python for building and deploying NLP and ML solutions
• Experience working with Large Language Models (LLMs), prompt engineering, and agentic workflows (e.g., Lang Graph or similar frameworks)
• Solid understanding of data pre-processing, normalization, feature extraction, and quality validation techniques
• Strong MLOps experience, including model versioning, pipeline orchestration, CI/CD, monitoring, performance tracking, and retraining strategies
• Experience to containerization and orchestration tools (Docker, Kubernetes)
• Proficiency in SQL for data querying, transformation, and analytics
• Practical experience with AWS big data and compute services (EMR, Spark, PySpark)
• Working knowledge of AWS services, including AWS Bedrock for generative AI use cases
• Experience with at least one relational database: PostgreSQL or MySQL
· Strong understanding of testing strategies, error analysis, and model validation techniques
Good-to-Have Skills
• Prior experience with clinical, biomedical, or healthcare NLP use cases
• Familiarity with healthcare data standards, terminologies, or ontologies
• Experience deploying ML/NLP solutions in regulated or production healthcare environments
• Knowledge of distributed systems and cloud-native data architectures
• Experience with additional data stores, data warehouses, or NoSQL technologies
• Strong technical documentation and stakeholder communication skills
• Experience working in agile or cross-functional product development teams
Job Title : - Data Science/MLOps Engineer
Location : - Houston, TX (3 days onsite/Week)
Type of Employment : - Contract
Duration : - Long Term
Note : - The final interview will be in person. If the candidate is local, they will need to attend in Houston, TX. If the candidate is non-local, they will be required to visit a nearby location for the in-person interview.
What we are looking for !
Build, deploy, and operationalize scalable AI-powered clinical NLP and machine learning solutions using deep learning, LLMs, and cloud-native big data platforms in healthcare environments.
we are looking for candidates who have strong hands-on experience in:
• MLOps practices (model deployment, monitoring, CI/CD, automation, retraining)
• Cloud-based ML platforms and production environments
• Data Science and applied machine learning
Mandatory skills
• Strong hands-on expertise in Natural Language Processing (NLP), machine learning, and deep learning
• Proficiency in Python for building and deploying NLP and ML solutions
• Experience working with Large Language Models (LLMs), prompt engineering, and agentic workflows (e.g., Lang Graph or similar frameworks)
• Solid understanding of data pre-processing, normalization, feature extraction, and quality validation techniques
• Strong MLOps experience, including model versioning, pipeline orchestration, CI/CD, monitoring, performance tracking, and retraining strategies
• Experience to containerization and orchestration tools (Docker, Kubernetes)
• Proficiency in SQL for data querying, transformation, and analytics
• Practical experience with AWS big data and compute services (EMR, Spark, PySpark)
• Working knowledge of AWS services, including AWS Bedrock for generative AI use cases
• Experience with at least one relational database: PostgreSQL or MySQL
· Strong understanding of testing strategies, error analysis, and model validation techniques
Good-to-Have Skills
• Prior experience with clinical, biomedical, or healthcare NLP use cases
• Familiarity with healthcare data standards, terminologies, or ontologies
• Experience deploying ML/NLP solutions in regulated or production healthcare environments
• Knowledge of distributed systems and cloud-native data architectures
• Experience with additional data stores, data warehouses, or NoSQL technologies
• Strong technical documentation and stakeholder communication skills
• Experience working in agile or cross-functional product development teams
