GenAI Engineer

Mechanized AI; La Serena; A distancia; USD 40.000 - 80.000; Jornada completa

Descripción de la vacante

A remote opportunity for a GenAI Engineer at mechanized AI involves leveraging advanced ML techniques to enhance AI-driven solutions. The ideal candidate will have extensive experience in ML, particularly with large language models, a strong foundation in cloud technologies, and a passion for AI innovation. Join a collaborative team dedicated to solving complex challenges and delivering high-impact solutions in the fast-evolving AI landscape.

Formación

• 4+ years of hands-on ML experience required.
• Familiarity with cloud environments (AWS, Azure, GCP) essential.
• Experience with Large Language Models and client delivery prioritized.

Responsabilidades

• Contribute to building and enhancing the Mechanized AI platform.
• Design ML systems and implement algorithms.
• Research and execute ML tests and statistical analyses.

Conocimientos

Machine Learning

Cloud Computing

Python Programming

Data Analysis

Statistical Analysis

NLP Techniques

Effective Communication

Educación

Bachelor’s degree in Computer Science

Software Engineering

Herramientas

TensorFlow

PyTorch

Keras

scikit-learn

Docker

Kubernetes

Descripción del empleo

Title: GenAI 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 GenAI 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:

Gabriel Martinez
Recruiter
Mechanized AI