AI Engineer

Job Posted 2 Days Ago Posted 2 Days Ago
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Hiring Remotely in Rio de Janeiro
Remote
Senior level
Artificial Intelligence • Machine Learning • Software
The Role
As an AI Engineer at Mechanized AI, you will enhance our AI-driven platform and solutions, work on ML systems, research algorithms, perform statistical analyses, and improve methodologies while delivering high-impact results for enterprise clients.
Summary Generated by Built In

Title: AI Engineer

Job Type: Full-Time

Location: Remote

Company Description:

Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to

transform legacy systems into modern, efficient, and scalable solutions. We work with

enterprise clients to future-proof their applications, helping them meet the demands of

today’s fast-paced, digital landscape. Our team thrives on solving complex challenges

and delivering AI-driven solutions. We foster a culture of creativity, collaboration, and

continuous learning.

Job Summary:

We are seeking a highly skilled AI Engineer to play a key role in advancing our AI-driven

platform and client solutions.

The ideal candidate has 4+ years of hands-on ML experience beyond academia, thrives

in fast-paced environments, and enjoys solving complex technical challenges. A strong

foundation in cloud-based ML solutions, AI model deployment, and optimization

techniques is essential. Those with a passion for staying at the forefront of AI

advancements and delivering high-impact solutions will excel in this role.

Key Responsibilities:

  • Contribute to building and enhancing our Mechanized AI platform and AI-enabled
  • products including mAI Modernize
  • Serve as ML SME on client projects as needed
  • Design ML systems
  • Research and implement appropriate ML algorithms and tools
  • Select appropriate datasets and data representation methods
  • Run ML tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Stay current with emerging technologies and ML best practices to continuously
  • improve our methodologies and tools

Required Skills & Experience:

  • 4+ years of ML experience at a start-up or larger enterprise – high priority
  • 6+ months of experience with Large Language Models (LLMs) and Generative AI
  • (GenAI) applications – high priority
  • Client delivery experience – high priority
  • Effective written and oral communications skills (C1/C2 - advanced/proficient level
  • English is required) – high priority
  • Bachelor’s degree in computer science, software engineering or related field
  • Experience with cloud environments (e.g., AWS, Azure, GCP)
  • Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-
  • learn)
  • Experience developing, deploying, and managing/monitoring models
  • Knowledge of containerization technologies (e.g., Docker, Kubernetes) and
  • microservices architecture
  • Expertise in Object-Oriented Programming (OOP) principles and unit test-driven
  • development methodologies
  • Advanced experience in NLP techniques and applications
  • Strong proficiency in Python programming
  • Familiarity with prompt engineering approaches and best practices
  • Knowledge of data structures, data modeling, and software architecture
  • Strong analytical and problem-solving skills, with ability to propose innovative
  • solutions and troubleshoot issues
  • Ability to work independently and as part of a collaborative team in a fast-paced
  • environment

Preferred Qualifications:

  • Experience in any of the following:
    • Agent development
    • Data privacy
    • Fine tuning LLMs
    • LLM architecture and techniques for performance
    • MLOps
    • ML evaluation
    • Model decay and data drift detection and handling
    • Pulumi, Terraform, and/or Cloud SDKs
    • PySpark
    • Quantization
    • Retrieval-augmented generation (RAG) optimization
    • Security
    • Vector databases

Contact:

Virginia King

Recruiter

Mechanized AI

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The Company
Atlanta, , Georgia
22 Employees
On-site Workplace
Year Founded: 2023

What We Do

Our mission is to help companies unlock the power of enterprise AI and accelerate their application modernization journeys.

Why Mechanized AI?

Founded in 2023, Mechanized AI is built and backed by a team with over four decades of combined AI/ML experience and more than 20 industry certifications.

Our product suite enables end-to-end AI development and deployment, and transforms traditional modernization workflows by automating complex, manual processes. Learn more about our solutions below:

AI Factory

The AI Factory platform enables the buildout of Fortune 500-quality production AI for both enterprise and mid-market businesses.

Insights: Build your blueprint for AI value while assessing and minimizing risk
DataLab: Accelerate data preparation for ML and GenAI while optimizing storage costs
AI Studio: Deploy ML models faster on your own cloud environment with security and flexibility

mAI Modernize

The mAI Modernize suite of products provides AI-powered code modernization for any tech stack, empowering clients to understand and modernize legacy code in hours versus months.

CodeMap: Gain rapid insights into your portfolio of applications in any legacy code language while extracting valuable business rules
CodeGen: Refactor legacy code into modern programming languages with any-to-any tech stack matching
VMShift: Accelerate infrastructure modernization from months to weeks and enable mass migration of VMs to *any* container or cloud platform using the first-ever AI-powered VM-to-container migration solution


Reach out to our team of experts to set up a demo at info@mechanized.ai or by visiting www.mechanized.ai.

Get in Touch

ⓘ info@mechanized.ai
support@mechanized.ai
recruiting@mechanized.ai
press@mechanized.ai
billing@mechanized.ai

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