Black Financial Consulting Group Logo

Black Financial Consulting Group

AI ENGINEER

Posted Yesterday
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Designs, develops, deploys, and optimizes machine learning models and AI solutions for enterprise automation, analytics, and decision-making. Analyzes datasets, improves data pipelines, collaborates with cloud and engineering teams, supports AI-driven workflows, contributes to solution design, and documents technical processes. The role requires Python, machine learning frameworks, cloud platform experience, SQL, APIs, and knowledge of MLOps and AI deployment pipelines.
The summary above was generated by AI

This is a remote position.

The AI Engineer will design, build, and optimize machine learning and AI solutions that support enterprise automation, analytics, and intelligent decision-making. The role requires strong analytical thinking, technical execution, and the ability to work effectively within remote consulting teams.

Key Responsibilities
  • Develop and deploy machine learning models and AI solutions
  • Analyze datasets and optimize data pipelines
  • Collaborate with cloud and engineering teams on AI implementation
  • Support automation and AI-driven workflow initiatives
  • Participate in solution design and technical discussions
  • Document technical processes and project updates
Requirements
  • 4–8 years of experience in AI, Machine Learning, or Data Engineering
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of APIs, SQL, and data processing workflows
  • Strong problem-solving and communication skills
  • Ability to work in remote, cross-functional teams             
Preferred
  • Experience within fintech, banking, or enterprise consulting environments
  • Understanding of MLOps and AI deployment pipelines
  • ​Relevant AI or Cloud certifications are an advantage


Similar Jobs

5 Hours Ago
Remote
US
230K-368K Annually
Expert/Leader
230K-368K Annually
Expert/Leader
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Architect and build Toast’s Vision AI platform, including video ingestion, processing, storage, inference pipelines, evaluation, and monitoring. Develop production ML services and customer-facing computer vision features, make architecture decisions, write significant code, and guide technical direction. Partner across teams, mentor engineers, establish reliability, security, and privacy standards, and promote AI-assisted development. The role requires deep distributed-systems and cloud expertise, production ML experience, video familiarity, and the ability to take ambiguous ideas from prototype to customer-ready products.
Top Skills: Amazon Kinesis Video StreamsApache KafkaApache PulsarAWSClaude CodeCursorFfmpegGstreamerJavaKotlinLlm ApisPythonVision-Language Model ApisWebrtc
5 Hours Ago
Remote
US
193K-309K Annually
Senior level
193K-309K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and own production Vision AI systems end to end, including model selection, inference pipelines, evaluation, monitoring, and customer-facing features. Shape architecture, collaborate with product, design, and engineering teams, and use AI coding tools to accelerate development. Establish high standards for quality, testing, reliability, security, and privacy while mentoring engineers and taking ambiguous ideas from prototype to production.
Top Skills: Claude CodeComputer VisionCursorData ModelingDistributed SystemsGoJavaKotlinLarge Language ModelsMachine LearningMl Inference PipelinesModel EvaluationModel MonitoringPythonQuery LanguagesScalaVision AiVision-Language Models
Yesterday
Easy Apply
Remote
United States
Easy Apply
190K-190K Annually
Senior level
190K-190K Annually
Senior level
Information Technology • Security • Cybersecurity
Apply established machine learning techniques—including clustering, classification, and anomaly detection—to ICS/OT cybersecurity data. Integrate model outputs into batch and near-real-time pipelines, evaluate third-party models, maintain reliable data contracts and observability, and troubleshoot production issues such as data drift and output quality. Collaborate with AI engineers, data engineers, and product teams while clearly communicating model behavior, uncertainty, and downstream use.
Top Skills: DockerKubernetesPythonRustScikit-LearnSQL

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account