Match score not available

Unlock Premium Benefits Today!
🚀 Elevate your career with priority access.
Stand out to top recruiters with Jobgether Priority Access:
  • ✅ Top Match: We help you identify job offers where you're a perfect fit.
  • ✅ Exclusive Referral Service: Connect directly with recruiters as a Jobgether Certified Premium User.
  • ✅ Personalized Feedback: Receive feedback and expert guidance on applications, and have your profile manually reviewed.

Start Your Free Trial Now!

Start my free trial

Senior Artificial Intelligence/Machine Learning Engineer - Remote, Latin America

extra holidays
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
South America, Latin America

Offer summary

Qualifications:

Strong background in computer science or engineering, 3+ years of experience in machine learning, Proficient in Python and familiar with TensorFlow or PyTorch, Knowledge of natural language processing and LLMs.

Key responsabilities:

  • Develop high-quality machine learning applications
  • Manage product specifications from concept to production
Bluelight Consulting | DevOps & Software Development logo
Bluelight Consulting | DevOps & Software Development Startup https://bluelight.co/
11 - 50 Employees
About Bluelight Consulting | DevOps & Software Development
Helping companies to disrupt in the cloud by providing: - Nearshore Staffing - Cloud consulting - Cloud migration strategies - Cloud native development Process Management and Improvement: Define a working methodology according to the best practices of development to fulfill customer needs. Champion ongoing processes and initiatives to implement the best practices of project management. Research about the latests technologies which could be applied to a project in order to innovate and satisfy project needs Team Building & Management: Empowering teams to ensure every member participation and engagement to the project. Ensure every member is proactively contributing to the progress of the project. Contribute and encourage the team to always provide velocity and quality for every deliverable.
See more Bluelight Consulting | DevOps & Software Development offers

Job description

Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

We are looking for a skilled Machine Learning Engineer to join our rapidly growing team at Bluelight Consulting. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. As a Machine Learning Engineer, you will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.

Company Benefits
  • Competitive salary and bonuses, including performance-based salary increases.
  • Generous paid-time-off policy
  • Technology / Office stipend
  • Health Coverage
  • Flexible working hours
  • Work remotely
  • Continuing education, training, conferences
  • Company-sponsored coursework, exams, and certifications

    • What we are looking for
  • Strong background in computer science or engineering with 3+ years of experience.
  • Knowledge of machine learning, deep learning, and natural language processing.
  • Experience with LLMs like GPT and LLama3.
  • Proficient in Python and familiar with TensorFlow or PyTorch.
  • Good problem-solving skills and ability to work independently and in a team.
  • Experience with AI voice programs/products.
  • Proficient in cloud services (AWS, Azure, Google Cloud) and container technologies (Docker, Kubernetes).
  • Strong communication skills for explaining technical ideas to various audiences.
  • Ability to manage product specifications from concept to production.
  • Understanding of software design principles, including optimization and performance tuning.
    • Being a software consultant is a fun, challenging, and rewarding career choice for engineers. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on the client's business.

    You will have the chance to work on a variety of projects for our incredible clients, which will help you quickly improve as Machine Learning Engineer. You will get to work with modern technologies alongside some of the best developers in the world!

    So if you have the desire to be a part of an exciting, challenging, rapidly growing software consultancy, please apply. #LI-Remote

    Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Natural Language Processing (NLP)Deep LearningPython (Programming Language)Machine LearningGPT-3 (NLP Model)KubernetesPerformance TuningSpeech Recognition SoftwarePyTorch (Machine Learning Library)Google Cloud Platform (GCP)Software DesignAmazon Web ServicesTensorFlowDocker (Software)Mathematical OptimizationMicrosoft Azure

    Other Skills

    • Teamwork
    • Communication
    • Problem Solving
    Are you interested?

    Machine Learning Engineer Related jobs

    See more Machine Learning Engineer jobs
    Sign in or sign up with Google or LinkedIn