RESPONSIBILITIES:
Kforce has a client that is seeking a Principal Machine Learning Engineer in Merrimack, NH.
Responsibilities:
* Update the existing systems with newer or upgraded versions of the current technologies to improve the efficiency of the ecosystem
* Deliver data centric data solutions, data integrations, and data transformation logic that meets the data science team requirements
* Responsible to work with the Data Architects, Data Engineers, Data Scientists and Solution Architects when integrating these ML Models
* Collaborate with data engineering and data science teams to research, build and improve efficient AI solutions
* Design, develop, and research Machine Learning systems
* Design and develop complex data integration for ML models
* Select appropriate data sets before performing data collection and data modeling
* Enriching existing ML frameworks and libraries
* Identifying differences in data distribution that could affect model performance in real-world situations
* Verifying data quality and data cleansing
REQUIREMENTS:
* Master's or Bachelor's degree in Computer Science or Mathematics
* Experience with scaling and deploying Machine Learning models
* Experience with distributed large-scale data processing (preferably Apache Spark)
* Basic understanding of Machine Learning projects lifecycle
* Knowledge of streaming technologies (Apache Kafka, Spark, Flink, and AWS Kinesis)
* Knowledge of cloud platforms - AWS (RDS, EC2, S3, IAM, EMR, EKS, Glue, Lambda)
* Knowledge of Machine Learning platforms (SageMaker, etc.)
* Knowledge of data modeling techniques
* Knowledge of cloud security integration design protocols (AWS, Azure)
* Advanced data manipulation languages and frameworks (Python/Pandas, Java, SQL)
* Good programming skills in Python
* Excellent presentation skills
* Excellent written and verbal communication skills and the ability to lead and mentor technical peers is required
* Proven ability of working with unstructured data sources
* Ability to work in an Agile team structure
* Ability to gather customer requirements and make design decisions
* Ability to lead and mentor the data team
* Ability to multi-task across multiple projects within different contexts in a fast-paced environment
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.