Samprasoft, LLC

Samprasoft, LLC

Machine Learning Engineer

Company : Samprasoft, LLC

Location : Newport, KY, 41071

Job Type : Other

Date Posted : 3 October 2026

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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