AI/ML Engineer

SherlockTalent; Miami (FL); On-site; USD 137,760 - 275,520; Full time

Benefits offered by this job

Flexible hours

Direct access to leadership

Opportunity to shape AI strategy

Job summary

SherlockTalent is hiring an AI/ML Engineer for a 12-month contract to design and deploy intelligent systems. The role focuses on production environments, full model lifecycles, and integrating AI capabilities into platforms. Candidates should have at least 3 years of experience, fluent Python skills, and knowledge of LLM integration. The position is remote-first with flexible hours and offers a competitive hourly rate based on experience.

Qualifications

• 3+ years of ML/AI engineering in production required.
• Fluent in Python; experience with PyTorch or TensorFlow expected.
• Familiarity with LLM integration like OpenAI or Anthropic a plus.

Responsibilities

• Design, train, fine-tune, and deploy ML/AI models into production environments.
• Build and maintain LLM-powered pipelines.
• Collaborate with product and engineering on model specifications.

Skills

Python (fluent)

ML/AI engineering in production (3+ years)

LLM integration

REST API design and consumption

MLOps fundamentals

Vector databases

Git-based workflow

Job description

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 lifecycles, 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 TensorFlow
• 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

• LangChain, LlamaIndex, or custom agent frameworks
• Cloud ML: AWS SageMaker, GCP Vertex AI, or Azure ML
• Fine-tuning: LoRA, QLoRA, RLHF pipelines
• Data engineering: Spark, Airflow, dbt
• Evaluation frameworks (RAGAS, LangSmith, 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