WHO WE ARE: Beyondsoft Consulting, Inc. is a leading technical solutions and consulting partner. We combine emerging technologies and proven methodologies to tailor elegant solutions that solve complex challenges and empower our customers to accelerate their business goals. For the past 25+ years we have been providing a broad range of high-quality IT services, including staff augmentation, business process outsourcing, custom software solutions, test automation, digital enablement, and other software engineering and digital transformation services.
WHAT WE'RE ABOUT: We believe that collaboration, transparency, and accountability are the values that guide our business, our delivery, and our brand. Everyone has something to bring to the table, and we believe in working together with our peers and clients to leverage the best of one another in everything we do. When we proactively collaborate, business decisions become easier, innovation is greater, and outcomes are better.
Our ability to achieve our mission and live out our values depends upon a diverse, equitable, and inclusive culture. So, we strive to foster a workplace where people have the respect, support, and voice they deserve, where innovative ideas flourish, and where people can unleash their brilliance. For more information regarding DEI at Beyondsoft, please go to .
POSITION SUMMARY: Our Redmond-based client is looking for a Software Design Engineer for a remote-based position.
WHAT YOU WILL BE DOING: 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.
Evaluation 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.
MINIMUM QUALIFICATIONS: 1) Should have 3-5 years software design experience
2) Must have experience with Agile Development Processes / Azure Dev Ops
3) Must have Knowledge of MSFT Azure Cloud Services
4) Should know any of the programming skills : C, C++, C#, Java, JavaScript, or Python
5) Worked with Government Procurement, Anti-Money Laundering, Investigations
6) Should have coding experience with AI & ML
WHAT WE HAVE TO OFFER: Because we know how important our people are to the success of our clients, it's a priority to make sure we stay committed to our employees and making Beyondsoft a great place to work. We take pride in offering competitive compensation and benefits along with a company culture that embodies continuous learning, growth, and training with a dedicated focus on employee satisfaction and work/life balance.
A competitive pay range of $75/hr-79/hr (depending on experience). 15 days per year of Paid Time Off (PTO). 9 paid holidays per year (which includes 1 personal floating holiday). 401(k) retirement plan with company match. Eligible employees (and their families) are offered the following company-sponsored benefits: Medical, dental, and vision insurance, health savings account (HSA), short-term and long-term disability, employee assistance plan (EAP), and basic life and AD&D insurance. Eligible employees (and their families) are offered the following voluntary employee-funded benefits: Health care flexible spending account, dependent care flexible spending account, commuter benefits, voluntary accident & critical injury coverage, voluntary long-term care coverage, and voluntary life and AD&D insurance. Beyondsoft provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regards to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, and the full employee lifecycle up through and including termination.
