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Intellibee Inc · 3 days ago

AI and ML Engineer

Detroit, MI

Full-time

Onsite

Entry, Mid, Senior Level, Lead/Staff

2+ years exp

Intellibee Inc is seeking an innovative AI/ML Engineer to design, develop, and implement cutting-edge artificial intelligence and machine learning solutions. The role involves leveraging Google's suite of AI products to create intelligent systems that solve complex business problems while collaborating with cross-functional teams.

Big DataCloud ComputingInternet of ThingsMobile AppsSoftware

H1B Sponsor Likely

Responsibilities

Implements basic machine learning models using scikit-learn and TensorFlow

Uses Google Cloud AI Platform for model training and deployment

Develops simple data pipelines using Google Cloud Dataflow

Applies Google's pre-trained models (e.g., Vision API, Natural Language API) for basic tasks

Understands and applies fundamental ML concepts (supervised/unsupervised learning, evaluation metrics)

Creates basic visualizations of ML model performance

Designs and implements custom neural network architectures using TensorFlow

Utilizes Google Cloud AutoML for automated model development

Develops more complex data processing pipelines using Apache Beam on Dataflow

Implements advanced NLP solutions using BERT and other transformer models

Applies Google Cloud AI Building Blocks for specialized tasks (e.g., Translation API, Speech-to-Text)

Implements basic MLOps practices using Google Cloud AI Platform

Architects end-to-end ML solutions using Google Cloud's AI platform

Implements advanced deep learning models (CNNs, RNNs, GANs) for complex tasks

Develops sophisticated NLP systems using Google's latest language models

Utilizes Google Cloud Vertex AI for unified ML operations

Implements ML pipelines using TensorFlow Extended (TFX)

Applies Google's responsible AI practices in model development

Designs scalable, production-grade AI systems using Google Cloud technologies

Implements cutting-edge ML techniques (e.g., few-shot learning, meta-learning)

Develops custom AI solutions using Google's open-source tools (e.g., JAX, Flax)

Utilizes Google Cloud TPUs for high-performance model training

Implements advanced MLOps practices, including ML pipelines and continuous training

Leads initiatives for adopting Google's AI technologies across the organization

Architects enterprise-wide AI strategies leveraging Google's AI ecosystem

Implements sophisticated AI systems for multi-modal data (text, image, audio, video)

Develops innovative solutions using Google's latest AI research (e.g., LaMDA, PaLM)

Utilizes Google Cloud's AI solutions for edge and IoT applications

Implements advanced techniques for model interpretability and fairness

Drives adoption of Google's AI technologies for business transformation

Shapes organizational AI/ML strategies aligned with Google's AI roadmap

Pioneers adoption of cutting-edge Google AI technologies (e.g., quantum ML)

Designs ultra-large-scale AI systems leveraging Google's distributed computing capabilities

Creates frameworks for measuring and optimizing AI/ML impact on business outcomes

Implements innovative approaches to AI governance and ethics using Google's guidelines

Leads transformative initiatives in AI/ML practices and culture

Qualification

PythonMachine LearningTensorFlowGoogle Cloud PlatformDeep LearningData ProcessingAnalytical SkillsCommunication SkillsCollaboration Skills

Required

Strong programming skills in Python, and familiarity with Java or C++

Solid understanding of machine learning algorithms and techniques

Experience with deep learning frameworks (TensorFlow preferred)

Familiarity with Google Cloud Platform (GCP) and its AI/ML services

Knowledge of data processing and analysis techniques

Strong analytical and problem-solving skills

Excellent communication and collaboration abilities