Machine Learning Engineer 615

Freedom Technology Solutions Group, LLC; Chantilly (VA); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

401k matching

Fully paid medical

Paid time off

Tuition reimbursement

Job summary

Freedom Technology Solutions Group seeks a Machine Learning Engineer to lead enterprise data standardization efforts, KSAs, and competency integration. You will review, map, and cleanse Sponsor data, support migration planning, and build a skills repository integrated with Sponsor systems.

You will coordinate with PMs, SMEs, HR, and systems engineers to define baselines and action plans. You will also develop SOPs, maintain documentation, and ensure data governance for PII compliance while

Qualifications

• Experience designing schemas, tables, views, and relationships in SQL databases.
• Experience with ETL tools and data integration.
• Experience implementing, using, and creating APIs or data services.
• Experience with Python, Java, and Scala programming languages.
• Experience implementing data visualizations and ML/AI software, tools, and services.
• Experience using AWS-based analytic tools and Apache Hadoop.

Responsibilities

• Establish a repeatable process to collect skills from performance reviews.
• Create access-controlled data sources and databases for jobs, competencies, and proficiency levels.
• Develop a data migration plan to export skills into Sponsor systems.
• Scrape and analyze skills data from open sources and Sponsor databases for the skills repository.
• Review and analyze sponsor service competency data for inclusion in the repository.
• Collaborate with internal sponsor offices to update competency data and repository.

Skills

SQL scripting

Programming: Python/Java/Scala

Data visualization

Tools

ETL tools

APIs/Data services

AWS analytics tools

Apache Hadoop

Tableau

Bluescape

SharePoint

Job description

Freedom Technology Solutions Group is looking for a Machine Learning Engineer to lead an effort to bring its enterprise services into compliance with Federal data standards and formats. We are seeking analytical support to review, compare, and make recommendations for actions (data cleansing and transformation), as well as support data migration planning and coordination efforts. The right candidate will build a skills inventory, which will eventually integrate with other Sponsor’s systems, capturing both position skill requirements and competency levels, as well as personnel skill and competencies. The project manager will manage priorities.

The team shall work closely with systems engineers, database administrators, HR and Talent management, subject matter experts (SMEs), and project managers. The team shall perform a gap analysis of the following sub-tasks to include analyzing the current state, creating a baseline, identifying the gaps between what is known and what is needed, and developing an action plan to mitigate the gaps.

• Review the Sponsor’s analysis of data sets.
• Compare data sets against information contained in various HR and Talent Sponsor systems.
• Review and map the Sponsor’s knowledge, skills, and abilities (KSAs) data sets to a variety of data sets pulled from various sources and identify structural differences between the fields in the various data sets.
• Review the Sponsor’s data cleansing status.
• Preview mock cleansing to show previous and desired end states.

Responsibilities

• Establish a repeatable process to periodically “scrape” and collect skills from a collection of Sponsor performance reviews.
• Comply with the Sponsor’s guidance and policies regarding the collection, analysis, and use of personal identifiable Information (PII).
• Create an access-controlled collection of disparate data sources.
• Create an access-controlled database to store collected jobs, competencies, KSAs, and proficiency levels. The portable database will be transferrable to the process owner upon the completion of the implementation.
• Create a data migration plan to export collected skills and competencies into the Sponsor’s systems.
• Scrape, collate, and perform analysis of skill sets from open source, commercially available, and existing Sponsor databases and applications for addition to the skills repository.
• Scrape, gather, and analyze onboarding data to enrich the skill and competencies repository.
• Review and analyze all Sponsor service competency data for addition to the skill and competencies repository.
• Collaborate with other internal Sponsor offices to review, analyze, and update competency data from open source, commercially available, existing Sponsor databases, and applications, in addition to the skill and competencies repository.
• Evaluate the Sponsor's current Chatbot and Machine Learning (ML), Artificial Intelligence (AI) offerings, and integration methods, and provide a report on opportunities to integrate with the Sponsor's systems.
• Evaluate and assess the Sponsor’s planned system restructuring and its data integration impacts with a new external service provider.
• Work with the Sponsor's team supporting the system restructure to understand data standards required and the impact on the Sponsor’s OPM standardization efforts.
• Create a transition guide or Standard Operating Procesdures (SOPs) of activities.
• Create and maintain documentation for a Skills Taxonomy Gap Analysis Report to include an assessment of the current state, proposed baseline of competencies and KSAs, identification of missing data, and an action plan for gap mitigation.
• Create and maintain documentation of methodologies and tools used to accomplish the Scope of Work (SOW).
• Create and maintain documentation related to system access to database(s), systems used, and databases accessed to perform the work.
• Create and maintain a list of Internal and External Key Contacts, to include names and contact information.
• Create and maintain documentation regarding concerns, risks, and issues regarding data, storage, tools, and access.
• Create and maintain documentation regarding the status of deliverables and open actions

Required Skills

• Demonstrated experience designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data).
• Demonstrated experience with implementing and using extract, transform, and load (ETL) tools.
• Demonstrated experience implementing, using, and creating Data Application Programming Interfaces (APIs) or data services.
• Demonstrated experience with Python, Java, and Scala programming languages.
• Demonstrated experience implementing, using, and creating data visualizations.
• Demonstrated experience implementing, using, and creating ML/AI software, tools, and services.
• Demonstrated experience using or creating Amazon Web Services (AWS)-based analytic tools and services.
• Demonstrated experience using and implementing Apache Hadoop.

Desired Skills

• Demonstrated experience with using and creating Tableau visualizations.
• Demonstrated experience with using and creating workspaces in Bluescape.
• Demonstrated experience working with data services in the Sponsor’s cloud environment.
• Demonstrated experience with the Sponsor’s HR data and database environment.
• Demonstrated experience using SharePoint, and adding and integrating content.
• Demonstrated knowledge of Agile Project Management Methodology.

What’s in It for You?

• Flexible work environment
• A team mentality – work with friendly, like-minded professionals
• Work with innovative, cutting edge technologies

Enjoy Extremely Competitive Compensation And Benefits

• A work-life balance you can count on
• Opportunities to grow and advance your career on our dime

The Benefits You Get with Freedom

• Amazing benefits including matching 401k, fully paid medical, and more
• Generous paid time off – including paid site closure days
• Competitive salary offerings
• Paid training and tuition reimbursement
• Referral bonuses
• Fully paid life and disability
• Annual logo wear allowance
• Company sponsored events (game nights, holiday party, summer party, happy hours)

Applicant Federal & E-Verify Postings

VEVRAA Federal Contractor

As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status

Equal Opportunity Employer, including disabled and veterans.

Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at

Phone: [phone]

Email: [e-mail]