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AI​/ML Engineer

Remote / Online - Candidates ideally in
Miami, Miami-Dade County, Florida, 33222, USA
Listing for: SherlockTalent
Contract, Remote/Work from Home position
Listed on 2026-05-25
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Title:

AI/ML Engineer

Location:

Remote (U.S.

-based)

Employment Type:

12 month contract Rate: low triple digits hourly USD

Reports To:

CTO

About the role

We're hiring an AI/ML Engineer to design, build, and deploy intelligent systems that solve real business problems — not research projects. You'll work directly on production systems, own full model life cycles, and integrate AI capabilities into our platforms. We expect systems thinking, not just model tuning.

What you'll own
  • Design, train, fine-tune, and deploy ML/AI models into production environments
  • Build and maintain LLM-powered pipelines including RAG, agents, and tool-use architectures
  • Develop and operationalize data pipelines supporting model training and inference
  • Integrate AI functionality with existing APIs, SaaS platforms, and internal tools
  • Instrument models for observability — latency, drift, accuracy, and cost
  • Collaborate with product and engineering to translate business requirements into model specs
  • Write clean, documented, production-grade code — not just notebooks
Required
  • 3+ years ML/AI engineering in production
  • Python (fluent) — PyTorch or Tensor Flow
  • LLM integration:
    OpenAI, Anthropic, or open-source (Llama, Mistral)
  • REST API design and consumption
  • MLOps fundamentals: versioning, CI/CD for models, monitoring
  • Vector databases (Pinecone, Weaviate, pgvector, or similar)
  • Git-based workflow with strong code review habits
Strong plus
  • Lang Chain, Llama Index, or custom agent frameworks
  • Cloud ML: AWS Sage Maker, GCP Vertex AI, or Azure ML
  • Fine-tuning:
    LoRA, QLoRA, RLHF pipelines
  • Data engineering:
    Spark, Airflow, dbt
  • Evaluation frameworks (RAGAS, Lang Smith, custom evals)
  • Experience in recruiting tech, HR tech, or B2B SaaS
Who you are
  • You ship to production — not just to notebooks or staging
  • You think in systems: incentives, feedback loops, failure modes
  • You raise problems early and with proposed solutions
  • You're direct, own your decisions, and don't require hand-holding
  • Remote-first mindset — async communication, high written clarity, proactive updates
Compensation & benefits
  • Competitive hourly rate commensurate with experience
  • 100% remote — work from anywhere, certain aspect require U.S. Based location
  • Flexible hours with async-first culture
  • Direct access to leadership — no bureaucracy, high ownership
  • Opportunity to shape AI strategy at a high-growth recruiting platform
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