- GenAI Engineer

Mechanized AI; Buenos Aires; Teletrabalho; USD 60.000 - 100.000; Tempo integral

Resumo da oferta

An innovative company is seeking a skilled GenAI Engineer to enhance their AI-driven platform and client solutions. The ideal candidate will have over 4 years of hands-on experience in machine learning and a strong foundation in cloud-based solutions. This role involves designing ML systems, conducting research on algorithms, and implementing best practices in a collaborative environment. Join a forward-thinking team dedicated to solving complex challenges and delivering high-impact AI solutions. If you are passionate about advancing AI technology, this opportunity is perfect for you.

Qualificações

• 4+ years of ML experience in a startup or enterprise.
• Strong foundation in cloud-based ML solutions and AI model deployment.
• Passion for AI advancements and delivering impactful solutions.

Responsabilidades

• Contribute to building and enhancing the AI platform and products.
• Research and implement ML algorithms and tools.
• Stay current with emerging technologies and ML best practices.

Conhecimentos

Machine Learning

Generative AI

Cloud Environments (AWS, Azure, GCP)

Python Programming

NLP Techniques

OOP Principles

Analytical Skills

Communication Skills

Formação académica

Bachelor's Degree in Computer Science

Ferramentas

TensorFlow

PyTorch

Keras

scikit-learn

Docker

Kubernetes

Descrição da oferta de emprego

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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.

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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