1

Junior Aws Machine Learning Jobs in Colorado (NOW HIRING)

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML ... Design and operate AppFolio's ML infrastructure on AWS -- ECS, SageMaker, GPU fleets, model serving ...

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML ... Design and operate AppFolio's ML infrastructure on AWS -- ECS, SageMaker, GPU fleets, model serving ...

Senior Software Engineer

Aurora, CO · On-site

$170 - $260/hr

AWS Machine Learning certificate or experience implementing production‑scale AI/ML solutions. * Knowledge of AI tools and deep learning model development. * Experience with cloud infrastructure ...

Sr. Machine Learning Engineer

Denver, CO

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.

CO

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.

$89K - $157K/yr

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a ... Experience with AWS or another cloud computing platform • Excellent written and verbal ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Showing results 21-40

Junior Aws Machine Learning information

What is a junior AWS machine learning engineer?

Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.

What are the key skills and qualifications needed to thrive as a junior AWS machine learning engineer?

To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.

Are there entry level AWS jobs?

Yes, there are entry-level AWS jobs such as Junior AWS Machine Learning roles that typically require foundational knowledge of cloud computing, basic understanding of machine learning concepts, and familiarity with AWS services like S3, EC2, and SageMaker. These roles often serve as starting points for careers in cloud and machine learning fields and may require certifications like AWS Certified Cloud Practitioner or AWS Certified Machine Learning – Specialty. Candidates should be prepared to learn on the job and develop skills through training and hands-on experience.

What are some common challenges faced by junior AWS machine learning engineers when deploying models to production environments?

Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.

What is the difference between Junior Aws Machine Learning vs Data Scientist?

AspectJunior Aws Machine LearningData Scientist
Required CredentialsBasic AWS certifications, entry-level ML knowledgeAdvanced degrees, certifications like AWS, data analysis skills
Work EnvironmentCloud platforms, machine learning projects, collaborative teamsData analysis, modeling, research, cross-functional teams
Employer & Industry UsageTech companies, startups, cloud service providersFinance, healthcare, tech, research institutions

Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.

What are the most commonly searched types of Aws Machine Learning jobs in Colorado? The most popular types of Aws Machine Learning jobs in Colorado are:
What are popular job titles related to Junior Aws Machine Learning jobs in Colorado? For Junior Aws Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Junior Aws Machine Learning jobs in Colorado look for? The top searched job categories for Junior Aws Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Junior Aws Machine Learning jobs? Cities in Colorado with the most Junior Aws Machine Learning job openings:

Machine Learning Engineer / Specialist with Security Clearance

DCCA

Littleton, CO • On-site

Other

Medical, Life, Retirement, PTO

Re-posted 27 days ago


Job description

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 . 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