Lead the design and implementation of end-to-end data science projects, develop large-scale data pipelines, and automate deployment processes while leveraging AWS services.
We are looking for a Senior Data Scientist to lead the design and implementation of end-to-end data science projects. This role involves developing large-scale data pipelines, leveraging AWS Glue and PySpark, and utilizing Amazon SageMaker for machine learning model development and deployment. You will also be responsible for monitoring production models using AWS CloudWatch and automating deployment processes to enhance operational efficiency.Key Responsibilities
- Design and implement end-to-end data science solutions.
- Develop large-scale data pipelines using AWS Glue and PySpark.
- Build, train, and deploy ML models using Amazon SageMaker.
- Monitor and maintain production models with AWS CloudWatch.
- Automate deployment processes to streamline MLOps workflows.
- We are looking for candidates who have:
- Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields.
- 5+ years of experience in data science roles.
- Proficiency in Python and PySpark.
- Hands-on experience with AWS Glue, SageMaker, and CloudWatch.
- Strong problem-solving and analytical skills.
- Experience with CI/CD pipelines for data workflows.
- Knowledge of MLOps best practices.
Location(s):
India Remote
Top Skills
Amazon Sagemaker
Aws Cloudwatch
Aws Glue
Ci/Cd
Pyspark
Python
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Responsible for data modeling, AI development, and optimizing data processes. Collaborate on digital outcomes and enhance data quality in healthcare solutions.
Top Skills:
Amazon NeptuneAmazon RedshiftApache AirflowApache NifiApache SolrAWSAzureDockerElasticsearchGoogle BigqueryGoogle Cloud PlatformHadoopInformaticaJavaKafkaKubernetesNeo4JPrefectPythonScalaSnowflakeSparkSQLTalend
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Manage data engineering projects focusing on AI and automation, develop AI models, optimize data pipelines, and lead data architecture efforts.
Top Skills:
Amazon NeptuneAmazon RedshiftApache AirflowApache NifiApache SolrAWSAzureDockerElasticsearchGoogle BigqueryGoogle Cloud PlatformHadoopInformaticaJavaKafkaKubernetesNeo4JPrefectPythonScalaSnowflakeSparkSQLTalend
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The Staff Data Engineer will enhance the Enterprise Data Platform by designing data models, optimizing ETL processes, and collaborating with teams to ensure effective data-driven decision-making.
Top Skills:
AirflowAWSBigQueryCloud Data FusionEltEmrETLGCPInformaticaLookerMatillionPower BIPythonRdbmsRdsRedshiftSQLSsisTableauTalend
What you need to know about the Sydney Tech Scene
From opera to comedy shows, the Sydney Opera House hosts more than 1,600 performances a year, yet its entertainment sector isn't the only one taking center stage. The city's tech sector has earned a reputation as one of the fastest-growing in the region. More specifically, its IT sector stands out as the country's third-largest, growing at twice the rate of overall employment in the past decade as businesses continue to digitize their operations to stay competitive.
