Hire1

We are looking for a Senior AI/ML Engineer to build and operate production-grade AI systems that convert complex, unstructured technical content into high-quality structured data and power fast, accurate search.

This is not a research-only role. You will own the full lifecycle:

Architecture → Experimentation → Deployment → Observability → Continuous Improvement

If you enjoy shipping real systems used in production — not just notebooks — this role is for you.

 What You Will Own

1. End-to-End ML Architecture

• Design hybrid systems combining:
  • Computer Vision (detection, segmentation)
  • Layout understanding
  • OCR pipelines
  • NLP processing
• Transform unstructured documents into structured, searchable representations
• Design hybrid retrieval strategies (dense + sparse ranking)

2. Production ML Systems

• Ship containerized ML services to AWS
• Build scalable inference microservices
• Optimize pipelines for:
  • Latency
  • Throughput
  • Cost
  • Reliability
• Define and maintain service-level objectives (SLOs)

3. Search & Relevance Engineering

• Implement embedding pipelines
• Design hybrid search ranking logic
• Work with vector databases and similarity search
• Improve recall and precision via measurable experiments

4. MLOps & Operational Excellence

• Implement reproducible ML workflows:
  • Model & dataset versioning
  • CI/CD for ML
  • Automated validation
  • Rollout / rollback strategies
• Build observability using:
  • OpenTelemetry
  • Prometheus
  • Grafana
• Set up dashboards and alerts for:
  • Model drift
  • System degradation
  • Latency spikes

5. Evaluation & Quality Control

• Design “Gold Standard” datasets and labeling guidelines
• Define measurable quality metrics & acceptance thresholds
• Conduct systematic error analysis
• Maintain prioritized improvement backlogs

Required Experience

🔹 Background

• 7+ years backend engineering (Python)
• 5+ years hands-on ML engineering in production
• Proven experience deploying ML systems into real-world environments

🔹 Computer Vision, Object detection, Image segmentation, OCR pipeline design, Layout-aware document processing, NLP, Information extraction, Intent recognition, Annotation parsing, Structured data transformation, ML & Engineering Stack, PyTorch (preferred), TensorFlow, scikit-learn, Strong software engineering 

fundamentals:

• Clean architecture
• Testing
• Code review
• Maintainable system design

🔹 Search & Retrieval

• Vector databases
• OpenSearch / Elasticsearch
• Dense + sparse hybrid search strategies

🔹 Cloud & Infrastructure

• AWS
• Docker
• Kubernetes
• CI/CD pipelines
• Microservices architecture

🔹 Production Operations

• Observability and alerting systems
• High-compliance / secure environments
• Data isolation requirements

Employment Details

• Contract Type: B2B
• Compensation: Gross, negotiable
• Public Holidays: 10 per year
  (Vacation & sick leave unpaid)
• Fully Remote

If you are passionate about building real-world AI systems at scale, we’d love to hear from you.