Senior AI/ML Engineer (Databricks & MLOps) - Remote, APAC

Join 411 Locals, a leader in empowering small businesses globally through collaboration and innovation. We are dedicated to providing simplified, effective, and affordable business services, enabling entrepreneurs worldwide to start, grow, and run their ventures with confidence. As we continue to scale our operations, we are seeking a highly experienced and technically proficient Senior AI/ML Engineer with specialized expertise in the Databricks Data Intelligence Platform.

This critical 100% remote role, ideally located within the APAC region with mandatory overlap with US working hours, will lead the design, architecture, and deployment of scalable machine learning pipelines. You will bridge complex data infrastructure with practical business applications, transforming vast volumes of data from Digital Marketing Performance and Call Center Operations into actionable insights, automated agent assistance, and powerful predictive models.

Key Responsibilities

• Databricks Architecture & Data Engineering

  • Architect, build, and maintain a robust Lakehouse architecture on Databricks using Delta Lake, unifying structured marketing data and unstructured call center logs.
  • Develop production-grade ETL/ELT pipelines with Apache Spark (PySpark) to ingest and normalize data from diverse sources including CRM systems, Google Analytics, and telephony providers.
  • Implement end-to-end MLOps lifecycles utilizing MLflow and Databricks Unity Catalog to ensure model governance, versioning, and seamless deployment to production environments.

• AI for Call Center Optimization

  • Deploy Large Language Models (LLMs) and NLP pipelines for transcribing, diarizing, and analyzing agent-client voice interactions at scale.
  • Develop models to detect customer sentiment and churn risk in real-time, automating Quality Assurance processes.
  • Create RAG (Retrieval-Augmented Generation) applications to provide live "next-best-action" recommendations to sales and support agents based on historical success data.

• Marketing & Business Analytics

  • Build predictive models for client retention (churn prediction) and Customer Lifetime Value (CLV) to optimize digital marketing spend and strategies.
  • Utilize advanced statistical modeling for attribution modeling to determine the ROI of various marketing channels.
  • Leverage Generative AI to automate performance reporting and content analysis, enhancing digital marketing strategies.

Qualifications

Technical Expertise

• Databricks: Extensive hands-on experience with the Databricks platform, including Workflows, Delta Live Tables, and Model Serving.
• Machine Learning: Strong proficiency in Python and standard ML libraries (TensorFlow, PyTorch, Scikit-learn). Proven experience deploying LLMs (e.g., Llama, OpenAI) in an enterprise setting.
• Big Data: Deep understanding of distributed computing, Apache Spark optimization, and advanced SQL.
• Cloud Infrastructure: Experience with major cloud providers (AWS or Azure) and containerization technologies (Docker/Kubernetes).

Domain Experience

• Call Center Technology: Prior experience with Telephony APIs or analyzing conversational data (Speech-to-Text/NLP).
• Digital Marketing: Familiarity with digital marketing KPIs (CPC, CTR, Conversion Rate) and SEO principles is highly desirable.

Core Competencies

• Problem Solving: Ability to take full ownership of complex problems from concept through to successful deployment.
• Communication: Exceptional ability to articulate intricate technical concepts and model predictions to non-technical stakeholders in Sales and Operations.

Preferred Skills

• Experience with dbt (data build tool) for data transformation.
• Background in working with legacy web systems or CRMs.
• Databricks Certification (Data Engineer or ML Practitioner).

Work Conditions & Benefits

This is a 100% remote position, requiring effective collaboration with global teams across different time zones. Mandatory overlap with US working hours is essential. We offer professional development opportunities within a rapidly growing technology team.

411 Locals is an Equal Opportunity Employer, committed to diversity and inclusion. All employment decisions are based on qualifications, merit, and business needs.