GenAI Engineer

Mechanized AI; Brasília; Teletrabalho; USD 70.000 - 110.000; Tempo integral

Resumo da oferta

An innovative firm is seeking a talented GenAI Engineer to drive advancements in AI technology and client solutions. This role demands a strong background in machine learning and cloud-based solutions, with a focus on deploying and optimizing AI models. You'll work collaboratively to tackle complex challenges and contribute to building cutting-edge products that redefine industry standards. If you're passionate about AI and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you. Join a team that values creativity and continuous learning, and help shape the future of AI-driven solutions.

Qualificações

• 4+ years of ML experience in startups or enterprises.
• Hands-on experience with LLMs and Generative AI applications.
• Proficient in cloud environments and ML frameworks.

Responsabilidades

• Enhance AI-driven platform and AI-enabled products.
• Design ML systems and implement appropriate algorithms.
• Stay current with emerging technologies and best practices.

Conhecimentos

Machine Learning

Large Language Models (LLMs)

Generative AI

Cloud Environments (AWS, Azure, GCP)

Python Programming

NLP Techniques

Object-Oriented Programming (OOP)

Statistical Analysis

Analytical Skills

Communication Skills

Formação académica

Bachelor's degree in Computer Science

Ferramentas

TensorFlow

PyTorch

Keras

scikit-learn

Docker

Kubernetes

Pulumi

Terraform

Cloud SDKs

Descrição da oferta de emprego

Join to apply for the GenAI Engineer role at Mechanized AI

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 Details

• Title: GenAI Engineer
• Job Type: Full-Time
• Location: Remote

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

1. Contribute to building and enhancing our Mechanized AI platform and AI-enabled products including mAI Modernize
2. Serve as ML SME on client projects as needed
3. Design ML systems
4. Research and implement appropriate ML algorithms and tools
5. Select appropriate datasets and data representation methods
6. Run ML tests and experiments
7. Perform statistical analysis and fine-tuning using test results
8. Train and retrain systems when necessary
9. Extend existing ML libraries and frameworks
10. 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 communication skills (C1/C2 - advanced/proficient level English) – 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