Senior AI/ML Engineer(Databricks & MLOps)

About Us: At 411 Locals, we empower small businesses worldwide through collaboration and innovation. Our mission is to provide simplified, effective, and affordable business services, enabling entrepreneurs to start, grow, and run their ventures with confidence. Join our team and be part of an environment that fosters growth, achieves results, and embraces constant innovation. Together, we create win-win-win outcomes for our customers, the company, and ourselves.

Role Overview: 411 Locals is seeking an experienced AI/ML Engineer with specialized expertise in the Databricks Data Intelligence Platform. As we scale our operations, we are looking for a technical leader to bridge the gap between complex data infrastructure and practical business application. In this role, you will architect and deploy scalable machine learning pipelines that drive intelligence across our two most critical data sources: Digital Marketing Performance and Call Center Operations. You will turn large volumes of SEO data and client interactions into actionable insights, automated agent assistance, and predictive models.

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). Experience deploying LLMs (Llama, OpenAI, or similar) within an enterprise environment. Big Data:

Deep understanding of distributed computing, Apache Spark optimization, and SQL. Cloud Infrastructure:

Experience with major cloud providers (AWS or Azure) and containerization (Docker/Kubernetes).

Domain Experience: Call Center Technology:

Experience working 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 ownership of a problem from concept to deployment. Communication:

Ability to explain complex 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). Professional development opportunities within a growing technology team.

Key Responsibilities: 1. Databricks Architecture & Data Engineering Lakehouse Architecture:

Design, build, and maintain a robust Lakehouse architecture on Databricks (using Delta Lake) to unify structured marketing data and unstructured call center logs. Pipeline Development:

Develop production-grade ETL/ELT pipelines using Apache Spark (PySpark) to ingest and normalize data from diverse sources, including CRM systems, Google Analytics, and telephony providers. MLOps & Governance:

Implement end-to-end MLOps lifecycles using MLflow and Databricks Unity Catalog to ensure model governance, versioning, and seamless deployment to production. 2.

AI for Call Center Optimization NLP & Speech Analytics:

Deploy Large Language Models (LLMs) and NLP pipelines to transcribe, diarize, and analyze agent-client voice interactions at scale. Sentiment & Quality Assurance:

Build models to detect customer sentiment and churn risk in real-time, automating Quality Assurance processes. Agent Assist Systems:

Develop RAG (Retrieval-Augmented Generation) applications that provide live \"next-best-action\" recommendations to sales and support agents based on historical success data.

3 . Marketing & Business Analytics Predictive Modeling:

Create models to forecast client retention (churn prediction) and calculate Customer Lifetime Value (CLV) to optimize marketing spend. Attribution Modeling:

Use advanced statistical modeling to determine the ROI of various marketing channels and digital marketing strategies. Process Automation:

Utilize Generative AI to assist in automating performance reporting and content analysis.

Work Conditions: The role is 100% remote, requiring effective communication with teams across different time zones. Regular virtual meetings and reporting sessions will be an integral part of the role. Overlapping with US working hours is mandatory.

411 Locals is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment decisions are based on qualifications, merit, and business needs.