Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

DCCA Machine Learning Engineer / Specialist in Littleton, Colorado

Machine Learning Engineer / Specialist

Location Littleton, CO

Job Code 2019

# of Openings 1

Apply Now (https://phg.tbe.taleo.net/phg02/ats/careers/v2/applyRequisition?org=DCCAMD&cws=39&rid=2019)

DCCA is a veteran-owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer career growth opportunities and a competitive compensation and benefits package. Visit our website at: www.dcca.com

Machine Learning – All Levels

Candidate must have an active TS/SCI to be considered

Key Tasks:

· Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools

· Built and deploy AI algorithms especially in cloud environments (i.e. AWS)

· Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.

Required Skills:

· The ideal candidate shall possess a bachelor’s degree in Computer Science or Computer Engineering or other technical degree.

· A security clearance or the ability to obtain a security clearance is required. Candidates should have experience with large software systems and the full software development lifecycle.

· Experience with Python programming language

· Involved with setting up the data pipeline, machine learning framework—from data discovery to model deployment—in a big data environment.

· Experience deploying robust machine learning

· Built and deploy AI algorithms

· Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.

· Strong troubleshooting, debugging and problem-solving skills

· Ability to quickly explore, evaluate and learn new technologies

· Strong communication skills, verbal and written. Includes the ability to effectively communicate complex information to audiences with varying technical and system backgrounds and at multiple organizational levels

Desired Skills:

· Proficiency with Linux and Linux based software development tools

· Experience with virtualization (i.e. VMWare)

· Advanced degrees in engineering, computer science, or related fields

· Experience in providing solutions for building big data, machine learning, and AI infrastructures and models (i.e. AWS), to including containerization (i.e. Ducker, Kubernetes)

· Experience with machine learning lifecycle platforms (i.e AirFlow/MlFlow/ Kubeflow)

· Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.e Tensorflow, Keras, Theano, PyTorch, Scikit-learn)

· Built frameworks for deployment of AI algorithms in other cloud environment— i.e Microsoft Azure and Google Cloud Platform

· CompTIA Security+ certification or equivalent

· CISSP certification or equivalent

Required Education/Certifcations:

· Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent

· Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent

· Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise

· Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent

· Engineer Consultant (CT11): Senior consultant to top management typically with an advanced degree and 18+ years experience or bachelors with 20+ years experience or equivalent

The proposed salary range for these positions in Colorado is 75,000 – 230,000 (CT7 – CT11). Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.

COVID Safety Requirements

DCCA is committed to the safety of our workforce and customers, adhering to COVID-19 Safety Protocols as required by the company, our customers and the Safer Federal Workforce Task Force. Some customer facilities require all employees to provide proof of vaccination status as a condition of employment, subject to approved medical or religious accommodations. Mask wearing and frequent COVID testing/attestation may also be required.

DCCA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status .

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