AI / ML Developer or Engineer

Savannah River Mission CompletionAiken, SC
$62,000 - $188,000Onsite

About The Position

Savannah River Mission Completion (SRMC) is seeking an AI /ML Developer or Engineer to be based in our Aiken, SC location on the Savannah River Site. The AI /ML (Artificial Intelligence / Machine Learning) Developer or Engineer is responsible for designing, developing, implementing, and maintaining the infrastructure, systems, and solutions required for data storage, processing, analysis, and the deployment of AI/ML models. These roles work closely with cross-functional teams to enable data-driven decision-making, create intelligent systems, ensure the quality of data, and drive business innovation.

Requirements

  • Bachelor’s degree in Computer Science or related degree; or Associate's degree in Computer Science or related degree with relevant practical experience; or High school diploma or GED with relevant practical experience
  • Relevant practical experience includes AI data science, ML engineering, software engineering, data analytics, or data mining

Nice To Haves

  • Experience in AI data science, ML engineering, software engineering, or data analytics
  • Experience designing and implementing AI/ML solutions with a focus on machine learning, recommendation systems, pattern recognition, NLP, or data mining
  • Experience on projects involving big data processing and distributed computing frameworks such as Apache Spark
  • Experience developing and maintaining data lakes, lake houses, etc…
  • Expert knowledge of machine learning techniques
  • Proficiency in programming languages such as Python, R, JavaScript, Java, and C++
  • Knowledge of popular machine learning frameworks
  • Familiarity with the Azure cloud platform and relevant AI services
  • Familiarity with data engineering concepts, including data pipelines, data integration, data warehousing, and modern data architectures
  • Experience with database technologies
  • Ability to work with large datasets and perform data cleaning, transformation, and manipulation
  • Strong analytical and creative problem-solving skills
  • Ability to effectively communicate technical information to both technical and non-technical stakeholders
  • Adaptability and willingness to learn new AI/ML and data engineering technologies and techniques
  • Strong business acumen and interpersonal skills to work across business lines

Responsibilities

  • Develop and implement AI/ML solutions in business environments, ensuring scalability, reliability, and security
  • Design, develop, and maintain data pipelines that extract, transform, and load data from various sources into appropriate data storage systems
  • Optimize AI/ML models for performance, scalability, and accuracy, considering computational resources and memory constraints
  • Collaborate with data scientists, software engineers, and other stakeholders to integrate AI capabilities into existing systems and workflows
  • Ensure data consistency and integrity during integration processes, performing data validation and cleaning as needed
  • Preprocess, clean, and transform data to ensure quality and relevance for AI/ML model training and inference
  • Monitor and tune data systems to identify and resolve performance bottlenecks
  • Stay updated with the latest advancements in AI/ML and data engineering technologies to adopt best practices within the team
  • Implement data quality checks and validations within data pipelines
  • Establish and govern data and algorithms used for analysis, analytical applications, and automated decision-making
  • Other duties as assigned.

Benefits

  • 401k Retirement Savings Plan – 5% immediate company contribution, additional matching for employee contributions
  • Health Insurance & Prescription Drug Program
  • Health Savings Account
  • Telehealth with BlueCare on Demand
  • Dental Coverage
  • Vision Coverage
  • Flexible Spending Accounts
  • 160 hours annual paid time off (accrued monthly), plus 11 paid holidays
  • Paid Parental Leave
  • Life and Accident Coverage
  • Disability Coverage
  • Employee Assistance Program
  • Tuition Reimbursement
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