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Machine Learning Engineer - Mid

Silverthorne Advisory Group LLC
Tampa, FL

Quick Apply

Job Details

Full-time

Benefits

Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
401(k) matching
Opportunities for advancement

Qualifications

Regression testing implementation
Version control
Software engineering
Continuous Delivery (CD) implementation
Engineering development testing
Git
Pandas
Data-driven problem-solving
DevOps automation
Cross-functional collaboration
Cross-functional communication
Data analysis software
Providing code feedback

Full Job Description

Benefits:

Retirement Plan
401(k)
401(k) matching
Bonus based on performance
Company parties
Competitive salary
Dental insurance
Health insurance
Opportunity for advancement
Paid time off
Training & development
Vision insurance

Job Description

As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support DoD program offices. As an ML Engineer on our AI-enabled team, you will train, test, deploy, and maintain models that learn from data. In this role, you will own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You will be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientist, solutions architects, and product owners to deliver world class solutions to DoD and Federal clients. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. On our team, you will use your leadership skills and data science expertise to create real-world impact. You will work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You will guide teammates and lead the development of
algorithms and systems. You will use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you will provide a deep understanding of the data, what it all means, and how it can be used.

Responsibilities

Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation and serving.
Optimize machine learning algorithms.
Contribute to building an infrastructure that facilitates end-to-end ML workflows.
Experience with one or more Deep Learning packages including but not limited to
TensorFlow and PyTorch.
Explore new technologies like quantum engineering for advanced model development.
Collaborate with cross-functional teams to enhance data processing pipelines.
Communicate and coordinate with teams to accomplish objectives and deliver excellence.

Requirements

Top Secret clearance required (can be sponsored).
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
4+ years with natural language processing (NLP) topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, or application of deep learning to NLP.
Strong background in a modern programming language, such as Python or Java, and associated numerical and analytics packages (NUMPY, PANDAS); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
Ability to quickly grasp technical concepts and collaborate with multiple functional groups.
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Detail-oriented mindset with a commitment to delivering high-quality results.

Nice to Have

Recent DoD or IC-related experience.
Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar).
Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
Experience in large scale AI and ML infrastructure, AWS ML tools such as SageMaker.
Experience with data discovery techniques and tools such as AWS Glue Crawler, Apache Atlas, Datahub, or Collibra.
Experience in working in an agile development environment.

If you are passionate about leveraging your machine learning skills and working with cutting-edge
technologies to enable efficient data analysis, we encourage you to apply. Join our team and be a part of
our mission to provide streamlined and rapid access to critical information!

Benefits

Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law.
Healthcare - We offer Health, Vision, and Dental Plans for our employees and their families.
Retirement Plan – We invest in your future with a competitive 401(k) plan, where we match 100% of your contributions up to your first 6% and give you access to Vanguard Admiral funds.
Paid Time Off - Based on length of service, we offer a generous amount of paid leave.
Bonus System – As you invest in us, we invest in you. We offer bonuses to all employees who meet and exceed goals throughout the year.
Professional Development – Support for career growth through training programs and certifications.
Company Retreats & Team Events – Sponsored trips, team-building activities, and annual conferences related to your skillset.

Quick Apply

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crawler algorithm engineer jobs

Machine Learning Engineer - Mid

Senior Software Engineer (Scala)

Software Engineer (Scala)

Software Engineer, Data Acquisition

Machine Learning Engineer

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