Ai Engineer

hace 1 semana

Desde casa, México Mechanized AI A tiempo completo

**Title**:AI Engineer**Job Type**:Full-Time**Location**:Remote**Company Description**:Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology totransform legacy systems into modern, efficient, and scalable solutions. We work withtoday's fast-paced, digital landscape. Our team thrives on solving complex challengesand delivering AI-driven solutions. We foster a culture of creativity, collaboration, andcontinuous learning.**Job Summary**:We are seeking a highly skilled AI Engineer to play a key role in advancing our AI-drivenplatform and client solutions.in fast-paced environments, and enjoys solving complex technical challenges. A strongfoundation in cloud-based ML solutions, AI model deployment, and optimizationtechniques is essential. Those with a passion for staying at the forefront of AIadvancements 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- 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- 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 MartinezRecruiterMechanized AI

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