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Machine Learning Engineer / Specialist Job Opening In Littleton – Now Hiring DCCA


Job description

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

For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure.

With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently.

Better yet, thanks to DCCA’s successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.


Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships.

As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives.

Join us and be part of a team that has a people first mentality and a dedication to excellence.


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.


At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we’re able to do through our consistent commitment to building culture and comprehensive benefits.


Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees.

In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.


Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement.

From upskilling programs to recertification support, to professional development opportunities, we’re here to help you grow your career and create lasting relationships.


Emphasis on Inclusivity: DCCA’s culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.


Empowering Health: DCCA’s benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work.

Learn more about our total benefits package on our Benefits page (https://www.dcca.com/career/benefits) .


Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today’s IT problems.


Equal Opportunity Employer including Disability/Vets




Required Skill Profession

Other General


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Littleton, United States, highlighting market share and opportunities for professionals in Machine Learning roles.

11109 Jobs in United States
11109
15 Jobs in Littleton
15
Download Machine Learning Jobs Trends in Littleton and United States

Are You Looking for Machine Learning Engineer / Specialist Job?

Great news! is currently hiring and seeking a Machine Learning Engineer / Specialist to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at DCCA adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Machine Learning Engineer / Specialist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Littleton. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Engineer / Specialist?

Key qualifications for Machine Learning Engineer / Specialist typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Machine Learning Engineer / Specialist Job Success

DCCA interview tips for Machine Learning Engineer / Specialist

Here are some tips to help you prepare for and ace your Machine Learning Engineer / Specialist job interview:

Before the Interview:

Research: Learn about the DCCA's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Engineer / Specialist interview at DCCA, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the DCCA's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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