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Director Data Analyst Machine Learning Jobs in Lake Jackson, TX

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Director Data Analyst Machine Learning information

See Lake Jackson, TX salary details

$29.5K

$71.8K

$118.1K

How much do director data analyst machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director data analyst machine learning in Lake Jackson, TX is $71,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,300.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Lake Jackson, TX?

For Director Data Analyst Machine Learning jobs in Lake Jackson, TX, the most frequently searched job titles are:

What job categories do people searching Director Data Analyst Machine Learning jobs in Lake Jackson, TX look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Lake Jackson, TX are:

What cities near Lake Jackson, TX are hiring for Director Data Analyst Machine Learning jobs?

Cities near Lake Jackson, TX with the most Director Data Analyst Machine Learning job openings:

Director Data Analyst Machine Learning jobs near you
Infographic showing various Director Data Analyst Machine Learning job openings in Lake Jackson, TX as of June 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $71,786 per year, or $34.5 per hour.

Senior AI & Machine Learning Engineer / AI Solutions

V-Work Infotech Solutions INC

Galveston, TX • On-site

$52 - $67/hr

Other

Posted 29 days ago

Job description

Job Summary

We are seeking a highly experienced Senior AI & Machine Learning Engineer / AI Solutions Architect with 10–15+ years of IT experience to design, build, and deploy enterprise-scale AI and Machine Learning solutions. The ideal candidate will have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, MLOps, Deep Learning, NLP, Computer Vision, and cloud-based AI platforms.

Key Responsibilities
  • Design and develop enterprise AI/ML applications and intelligent automation solutions.
  • Build, fine-tune, and optimize Large Language Models (LLMs) and foundation models.
  • Develop Retrieval-Augmented Generation (RAG) and AI Agent solutions.
  • Design scalable AI architectures for enterprise applications.
  • Build and deploy end-to-end ML pipelines from data ingestion to production.
  • Develop AI-powered chatbots, copilots, recommendation engines, and predictive analytics solutions.
  • Implement prompt engineering and model optimization techniques.
  • Deploy AI solutions using MLOps best practices.
  • Monitor, evaluate, and improve AI model performance in production.
  • Collaborate with Data Engineers, Data Scientists, Software Engineers, and business stakeholders.
  • Implement Responsible AI, governance, security, and compliance standards.
  • Mentor engineering teams and provide technical leadership.
Required Technical SkillsProgramming Languages
  • Python (Expert)
  • SQL
  • Java
  • Scala
Artificial Intelligence & Machine Learning
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Computer Vision
  • Reinforcement Learning
  • Transfer Learning
  • Fine-Tuning
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • AI Agents / Agentic AI
  • Multi-Agent Systems
AI Frameworks & Libraries
  • PyTorch
  • TensorFlow
  • Keras
  • Scikit-learn
  • Hugging Face Transformers
  • LangChain
  • LlamaIndex
  • DSPy
  • OpenCV
LLM Platforms
  • OpenAI
  • Azure OpenAI
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral AI
  • Cohere
MLOps
  • MLflow
  • Kubeflow
  • Azure Machine Learning
  • AWS SageMaker
  • Google Vertex AI
  • Docker
  • Kubernetes
  • CI/CD for ML Pipelines
Vector Databases
  • Pinecone
  • ChromaDB
  • FAISS
  • Weaviate
  • Milvus
Data Engineering
  • Apache Spark
  • Databricks
  • Snowflake
  • Apache Airflow
  • Kafka
  • Delta Lake
Cloud Platforms
  • AWS
  • Microsoft Azure
  • Google Cloud Platform (Google Cloud Platform)
Databases
  • PostgreSQL
  • MongoDB
  • MySQL
  • Redis
DevOps & Tools
  • Git
  • GitHub
  • Azure DevOps
  • Jenkins
  • Terraform
Required Qualifications
  • Bachelor''''s or Master''''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 10–15+ years of IT experience, including 5+ years in AI/ML or Generative AI.
  • Strong expertise in enterprise AI architecture and ML model deployment.
  • Experience building production-grade AI and LLM applications.
  • Strong knowledge of cloud-native AI services and MLOps.
  • Excellent analytical, communication, and leadership skills.
Preferred Experience
  • Enterprise AI Copilots and conversational AI.
  • RAG-based knowledge management systems.
  • AI Agents and workflow automation.
  • Fine-tuning open-source LLMs (Llama, Mistral, Falcon).
  • Healthcare, Banking, Insurance, Retail, Manufacturing, or Telecom domains.
  • AI governance, security, and Responsible AI frameworks.
Preferred Certifications
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • AWS Certified Machine Learning – Specialty
  • Google Professional Machine Learning Engineer
  • Databricks Certified Machine Learning Professional
  • NVIDIA Deep Learning Institute Certifications

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