Machine Learning Engineer
Machine Learning Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
- Architect and implement end-to-end machine learning pipelines reducing deployment time and time and effort required to develop test and deploy models from development to production environment.
- Work with Data Scientists teams on the development and deployment of machine learning models.
- Automate the MLOps workflow on the Syngenta Data Science Platform.
- Collaborate with cross-functional teams to define machine learning requirements and integrate models into production environment.
- Implement scalable and automated machine learning pipelines.
- Conduct exploratory data analysis and feature engineering to prepare datasets for machine learning modeling.
- Collaborate with Data Scientists teams predictive models using algorithms.
- Collaborate with DevOps teams to integrate machine learning models into production environment.
Qualifications :
This position requires a Bachelors degree in Computer Science Information Technology or a related field of study and three (3) years of experience in the position offered or three (3) years of experience as a Data Engineer or a closely related occupation.
- Must also have one (1) year of experience with: Java C Perl Python and Unix scripting; SQL NoSQL and RDBMS databases; Hadoop ecosystem tools including HDFS YARN Spark Hive HBase MapReduce MongoDB Cassandra Spark MLIB and Kafka.
- Develop ELT/ETL pipelines to build enterprise Data Models process data in data lake and load data into OLTP and NoSQL system.
- Building large scale batch and data pipeline processing frameworks in AWS Analytics cloud platform using PySpark/Scala on Glue ETL Redshift EMR Kinesis DynamoDB and S3.
- Performing containerization and orchestration in AWS cloud platform using ECR ECS EKS Airflow and Step Functions.
- Employing best practices around deployment and operationalizing the code using CI/CD scalability in cloud infrastructure and Agile development methodologies.
- Working with relational and NoSQL data stores methods and approaches including Star and Snowflake and Dimensional Modelling.
- Machine learning including supervised and unsupervised learning algorithms including linear regression support vector machines k-means clustering hierarchical clustering and neural networks.
- Data wrangling and processing and big data technologies; deep learning frameworks including TensorFlow and PyTorch; neural network architectures including CNNs RNNs and GANs.
- Deployment tools and practices to bring learning models to production environment; Docker and Kubernetes.
- Must pass a background check and drug test before beginning employment.
- Position based in Greensboro NC. Option to work remotely from Greensboro or Charlotte metro areas.
Additional Information :
What We Offer:
- A culture that celebrates diversity & inclusion promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical Dental & Vision) that starts your first day.
- 401k plan with company match Profit Sharing & Retirement Savings Contribution.
- Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.
Syngenta has been ranked as atop employerby Science Journal.
Learn more about ourteamand ourmission here: is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
