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Weekend Machine Learning Jobs in Highlands, TX (NOW HIRING)

Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts. * Proficiency in at least one AI-centric programming language (e.g., Python). * Experience with:

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

Data Engineer

Houston, TX · On-site

$80/hr

Implement ETL processes, optimize database performance, and ensure data quality and accessibility for analytics and machine learning applications. $80.00 / hr LI23 LILive24 Company Description ...

Georgia IT, Inc. is seeking a Data Scientist to work in Houston, TX. The role involves building production-ready systems for data science, utilizing NLP and Machine Learning techniques, and creating ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning ...

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Design, build, and deploy predictive models and machine learning (ML) algorithms to support asset performance, reliability, and commercial optimization. * Conduct exploratory data analysis (EDA ...

Design, build, and deploy predictive models and machine learning (ML) algorithms to support asset performance, reliability, and commercial optimization. * Conduct exploratory data analysis (EDA ...

Showing results 41-60

Weekend Machine Learning information

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Data Scientist

Houston, TX • On-site

Capgemini
Technology, Communication and Media • 10K+ employees

Other

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions.

  • Support data collection, cleaning, and preprocessing activities for AI initiatives.

  • Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders.


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

(AI/ML Engineer / GenAI Engineer / Data Scientist)

Houston TX

Overview

Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients.

We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills.

Key Responsibilities

  • Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in the Energy & Utilities sector.
  • Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions.
  • Support data collection, cleaning, and preprocessing activities for AI initiatives.
  • Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services.
  • Utilize platforms such as Databricks, PySpark, and modern AI frameworks.
  • Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency.
  • Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders.
  • Contribute to project documentation, reports, and client deliverables.
  • Develop reusable assets, demos, and solution accelerators.
  • Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape.
  • Foster a collaborative environment, actively sharing knowledge and best practices within the team.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
  • Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles.
  • Demonstrable background in the Energy & Utilities sector.
  • Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts.
  • Proficiency in at least one AI-centric programming language (e.g., Python).
  • Experience with:
  • Generative AI concepts (GPT, Claude, LLMs)
  • MLOps, model deployment, and monitoring
  • LangChain and Retrieval-Augmented Generation (RAG) concepts
  • REST APIs, JSON, Authentication, and Integration patterns
  • Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)
  • Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations.
  • Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment.

Preferred Qualifications

  • Prior experience specifically with OFSC (Oracle Field Service Cloud), or general Oil & Gas industry knowledge.
  • Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD).
  • Experience with any of the following:
  • data visualization tools and techniques
  • Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn)
  • NLP
  • computer vision
  • graph database technology (Neo4J, Ontotext, etc.)
  • JIRA / Confluence
  • Prior project or internship experience in a consulting environment.



What Capgemini North America employees say

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