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Samprasoft

Roanoke / Global

Machine Learning Engineer

Job Description

Sr. Machine Learning Engineer Duration: 12 -24 Months

Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA

Candidate should be local or willing to work onsite on any of the above locations for 5 days/ month

The Expertise And Skills You Bring Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.)

8+ years of proven experience in implementing Big data solutions in data analytics space

2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker

Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required

Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.)

Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks

Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies

Strong knowledge of developing highly scalable distributed systems using Open-source technologies

Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)

Solid experience in Agile methodologies (Kanban and SCRUM)

Strong technical design and analysis skills

Ability to deal with ambiguity and work in fast paced environment

Experience supporting critical applications

Familiarity with applied data science methods, feature engineering and machine learning algorithms

Data wrangling experience with structured, semi-structured and unstructured data

Experience building ML infrastructure, with an eye towards software engineering

Excellent communication skills, both through written and verbal channels

Excellent collaboration skills to work with multiple teams in the organization

Ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem

Required Skills : Basic Qualification : Additional Skills : Please do not send junior candidates, Need 10 plus years of experience.

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