Staff AI/ML Solution Engineer at Greenfix Property Care

, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Databricks, OpenAI API, Chatbot Development, Model Fine-Tuning, SQL, MLOps, CI/CD Pipelines, Data Pipeline Development, Vector Databases, Prompt Engineering, RAG, AI Ethics, Collaboration, Autonomous Agents

Industry

Household Services

Description

What You Need To Know Open the door to a groundbreaking tech career with an industry leader. Southern Glazer's Wine & Spirits is North America's preeminent wine and spirits distributor, as well as a family-owned, privately held company with a 50+ year legacy of success. To create a new era in alcohol beverage sales and service, we're heavily invested in the most transformative new technologies - and the most brilliant tech professionals. Southern Glazer's was named by Newsweek as a Most Loved Workplace and is included on the Forbes lists for Largest Private Companies and Best Employers for Diversity. As a full-time employee, you can choose from a full menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition reimbursement, a wellness program, parental leave, vacation accrual, paid sick leave, and more. We offer continuous learning and career growth in a fast-paced environment where you are respected, your voice is heard, and technology is part of our strategy for success. If you're looking to fill your glass with opportunity, come join our FAMILY. Overview The Principal Solution Engineer is responsible for Model Development: Building, training, and tuning machine learning models using ML frameworks like TensorFlow, PyTorch, or Spark MLlib integrated within Databricks. This role involves evaluating forecasting models using LGBM and other ML algorithms and for fit and performance, making IT management recommendations, and providing Tier Two technical support. Additionally, the engineer monitors system capacity, ensures optimal performance, and leads large-scale application development projects. Primary Responsibilities Design and develop LLM-powered chatbots and agents that integrate with business systems and workflows. Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Anthropic, Databricks MosaicML) for enterprise use cases. Build retrieval-augmented generation (RAG) pipelines and vector databases for domain-specific knowledge integration. Develop data ingestion and orchestration pipelines using Databricks, Python, or Spark for model input/output. Implement evaluation frameworks for chatbot quality, hallucination detection, and model performance tracking. Collaborate with backend and data engineering teams to deploy AI models as APIs or microservices in production. Ensure security, compliance, and ethical AI standards across all deployments. Experiment with multi-agent workflows and contextual memory for autonomous task execution. Contribute to the organization's AI engineering playbook, ensuring scalable and reusable design patterns. Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field. 3+ years of experience in AI/ML engineering, with proven experience in LLM or chatbot development. Strong proficiency in Python (LangChain, or similar frameworks). Experience with Databricks, Azure ML, AWS SageMaker, or equivalent platforms. Hands-on experience with OpenAI API, Anthropic Claude, Hugging Face Transformers, or MosaicML. Familiarity with vector databases. Solid understanding of prompt engineering, RAG, model fine-tuning, and evaluation metrics. Proficiency in SQL and data pipeline development. Strong understanding of MLOps, CI/CD pipelines, and API deployment practices. Excellent communication and collaboration skills with cross-functional teams. Experience building enterprise-grade AI assistants or autonomous agent frameworks. Familiarity with multi-agent orchestration and tools integration (e.g., MCP, LangGraph, CrewAI). Exposure to supply chain, planning, or analytics use cases. Physical Demands Physical demands include a considerable amount of time sitting and typing/keyboarding, using a computer (e.g., keyboard, mouse, and monitor), or adding machine Physical demands with activity or condition may occasionally include walking, bending, reaching, standing, squatting, and stooping May require occasional lifting/lowering, pushing, carrying, or pulling up to 20lbs EEO Statement Southern Glazer's Wine and Spirits, an Affirmative Action/EEO employer, prohibits discrimination and harassment of any type and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. SGWS complies with all federal, state and local laws concerning consideration of a qualified applicant's arrest and/or criminal conviction records. Southern Glazer's Wine and Spirits provides competitive compensation based on estimated performance level consistent with the past relevant experience, knowledge, skills, abilities and education of employees. Unless otherwise expressly stated, any pay ranges posted here are estimates from outside of Southern Glazer's Wine and Spirits and do not reflect Southern Glazer's pay bands or ranges.

Responsibilities

The Principal Solution Engineer is responsible for building, training, and tuning machine learning models, as well as developing LLM-powered chatbots and agents. This role also involves collaborating with teams to deploy AI models and ensuring compliance with security and ethical standards.