Software Design Engineer (Contract)

Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft.

Responsibilities

• Business Understanding and Impact: Understands problems facing projects and is able to leverage knowledge of data science to be able to uncover important factors that can influence outcomes on specific products.
• Data Preparation and Understanding: Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers.
• Modeling and Statistical Analysis: Leverages knowledge of machine learning solutions (e.g., classification, regression, clustering, forecasting, NLP, image recognition, etc.) and individual algorithms (e.g., linear and logistic regression, k-means, gradient boosting, autoregressive integrated moving average [ARIMA], recurrent neutral networks [RNN], long short-term memory [LSTM] networks) to identify the best approach to complete objectives.
• Understands modeling techniques (e.g., dimensionality reduction, cross-validation, regularization, encoding, assembling, activation functions) and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance. Understands the risks of data leakage, the bias/variance tradeoff, methodological limitations, etc.
• Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Constructs hypotheses, designs controlled experiments, analyzes results using statistical tests, and communicates findings to business stakeholders.
• Effectively communicates with diverse audiences on data quality issues and initiatives. Understands operational considerations of model deployment, such as performance, scalability, monitoring, maintenance, integration into engineering production system, stability.
• Develops operational models that run at scale. Develops a strong understanding of the Microsoft toolset in artificial intelligence (AI) and machine learning (ML) (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Synapse). Breaks down complex statistics and machine learning topics into manageable topics to explain to customers.
• Helps the Solution Architect and provides guidance on model operationalization that is built into the project approach using existing technologies, products and solutions, as well as established patterns and practices.
• Understands relationship between selected models and business objectives. Ensures clear linkage between selected models and desired business objectives. Assesses the degree to which models meet business objectives. Defines and designs feedback and evaluation methods. Presents results and findings to senior customer stakeholders.
• Industry and Research Knowledge/Opportunity Identification: Leverages capabilities within existing systems. Shares knowledge of the industry through conferences, white papers, blog posts, etc. Researches and maintains deep knowledge of industry trends, technologies, and contributes to the body of thought leadership and intellectual property (IP) best practices.
• Coding and Debugging: Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects.
• Understands the causes of common defects and uses best practices in preventing them from occurring.
• Collaborates with other teams and leverages best practices from those teams into work of their own team.
• Builds professional-grade documents for knowledge transfer and deployment of predictive analytic models.
• Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), AzDo, Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development.
  
  

Requirements

• 3+ years of software design experience
• Bachelor's Degree in Computer Science or relevant experience
• Experience working with Government Procurement, Anti-Money Laundering, Investigations
• Coding experience with AI & ML
• Agile Development Processes / Azure Dev Ops
• Knowledge of MSFT Azure Cloud Services
• Experience with C, C++, C#, Java, JavaScript, or Python
• GitHub CoPilot
• SAR
  
  

Additional Details

• Location: Remote
• Duration: 6 months
• Pay Range: $68.50-77.50 per hour
  
  

AGS is an Equal Opportunity/Affirmative Action Employer (M/F/Disability/Veterans). We will consider all applications without regard to race, gender, sexual orientation, gender identity, age, color, religion, national origin, veteran status, disability, genetic information or any other status protected by applicable law.