Homeoffice AI/ML Engineer en Onyx CenterSource
Onyx CenterSource · Dallas, Estados Unidos De América · Remote
- Senior
Onyx CenterSource is the leading global provider of B2B payments and business intelligence solutions to the hospitality industry. Our global team of experts collaborate to solve our clients’ business challenges, enabling our clients to enjoy stronger business relationships with each other by streamlining commission payments, removing friction from the process. This means hotels pay agencies the money they’re owed faster, and agencies receive much-needed supplier revenue more quickly and easily, increasing their desire to direct more bookings to hotels that use Onyx. All of this frees our clients up to focus on strategic, revenue-generating activities.
As a worldwide team with 20+ nationalities represented, we value our differences and use them to best serve our global clients. Every Onyx employee has the opportunity to grow through continual development opportunities, and we’re committed to making a positive impact in our communities and the world.
Onyx offers a variety of benefits to support a competitive total compensation package. You will work in an international and fast paced growing environment full of learning opportunities.
Physical
Demands/
Travel
required
Work associated with this position is sedentary in nature and performed indoors at a desk
either remotely or in an office setting.
Travel for this position is less than 10%.
This position is hybrid in office and remote.
Overview | Onyx CenterSource is seeking a hands-on AI/ML Engineer to design, build, and scale machine learning and generative AI solutions on AWS. This role focuses on rapid prototyping, productionizing successful models, and collaborating with data, engineering, and product teams to deliver secure, governed, and measurable business value. |
Location | Remote / Hybrid |
Scope | Global |
Education | Minimum required: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience). Preferred: Master’s degree in Computer Science, Data Science, or related field.
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Span of Control: | Reports to: Senior Director, Data & AI Oversight: This position has no direct reports |
Roles/ Responsibilities | · Design, fine-tune, and deploy ML/LLM models using AWS SageMaker, Bedrock, and OpenAI APIs. · Build and scale generative AI applications including chatbots, document analysis pipelines, conversational analytics, and retrieval-augmented generation (RAG) workflows. · Develop ML-driven transaction and entity matching solutions using similarity search, feature engineering, and vector databases. · Rapidly prototype proof-of-concepts (PoCs), iterate with stakeholders, and productionize with CI/CD and monitoring. · Automate training and inference pipelines, manage model/version governance, and track cost and performance metrics. · Ingest and transform large datasets using Python, SQL, Spark, and AWS Glue; design and manage vector indices. · Ensure adherence to AI governance, security, and responsible AI practices. · Partner with cross-functional teams to translate business requirements into scalable technical solutions.
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Qualifications | Minimum required: · 5+ years in ML/AI engineering or applied data science. · Hands-on experience delivering at least 2 production-grade ML or GenAI solutions. · Strong expertise with AWS services (SageMaker, Bedrock, IAM, Lambda, Step Functions, S3). · Proficiency in Python (PyTorch/TensorFlow, scikit-learn) and SQL. · Experience with ML pipelines, Docker, and CI/CD. · Knowledge of AI governance, security, and responsible AI practices.
Preferred: · Experience with LangChain, LlamaIndex, DSPy, MLflow, SageMaker Pipelines, Feature Stores. · Familiarity with vector search technologies (OpenSearch, Pinecone, Weaviate, pgvector). · Infrastructure-as-Code (Terraform, CDK, CloudFormation). · Front-end prototyping with Streamlit or Gradio. · Industry background in hospitality, travel, finance, or regulated data environments.
Teamwork/Leadership/interpersonal Skills: · Self-driven and resourceful; comfortable navigating ambiguity. · Strong communicator able to bridge business and technical needs. · Collaborative team player in agile, cross-functional environments. · Curious, pragmatic, and focused on delivering measurable impact.
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