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CGI
Houston, TX, United States
Position Description Make an impact like never before! We re growing rapidly and are looking for a Machine Learning Engineer. Your activities for the load forecast project significantly contribute to our client's data science, data engineering, optimization engineering, orchestration engineering and ML Ops efforts. This experienced engineer will g
Job Source: CGIBrooksource
, TX, United States
Machine Learning Engineer Brooksource Fortune 500 Utility Client Downtown Houston, TX Summary: This senior machine learning engineer will lead multiple initiatives within the growing portfolio data science and machine learning projects throughout the organization. Their primary responsibilities are to build production machine learning systems that
Job Source: BrooksourceINSPYR Solutions
, TX, United States
Title: Machine Learning Engineer/Software Developer Location: Houston, TX 77002 (ONSITE) Duration: Long Term Contract Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Job Description: We are currently seeking an experienced Machine Learning Engineer/Software Developer to join the Big Data and Advanced Analytics depar
Job Source: INSPYR SolutionsInsight Global
Houston, TX, United States
Job Description We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analyt
Job Source: Insight GlobalRecru
Houston, TX, United States
Job Title: Machine Learning Engineer Location: Houston, Texas Requirements: On-site Monday-Friday, with 1/2-day Fridays Summary: Our client, a leading oil and gas company, is looking for a Machine Learning Engineer to join their team. They offer midstream energy services for natural gas, liquids, crude oil, and petrochemicals. Responsibilities: Col
Job Source: RecruDice
Houston, TX, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Quinnox Inc, is seeking the following. Apply via Dice today! About Quinnox Quinnox is a global IT services organization headquartered in Chicago, USA with presence in Europe, Middle East and India. We are an Agile, Midsize CMMI Level 5, ISO 9001:2
Job Source: DiceTundra Technical Solutions Inc.
Houston, TX, United States
Job Description: Our client is currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and data scientists to solve real-world oil and gas midstream problems using advanced
Job Source: Tundra Technical Solutions Inc.Matrix Fitness USA
Houston, TX, United States
This is a remote position. Machine Learning Engineer - Work from Home Full-time $60K - $70K per annum 1+ Year Experience Required Visit fitnessmatrixinc.com to learn more & apply with your resume and cover letter. Introduction: FitnessMatrixInc is an unique approach to health and wellness that is based on the principle of bio-individuality.
Job Source: Matrix Fitness USAHouston
Job Description Job Description TITLE: Senior Machine Learning Engineer
LOCATION: Houston
TYPE: Direct Hire
SALARY: $125,000 - $140,000
SUMMARY:
The Senior Machine Learning Engineer will work on building AI/ML solutions across a wide range of business applications. You will drive the deployment of state-of-the-art AI services and analytic applications that support the needs of our business. Looking for a driven and talented individual who has a strong background in software engineering and a deep understanding of AI/ML frameworks. You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
DUTIES:
- Work closely with product managers to understand business requirements and translate them into technical solutions.
- Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to expand effective use of AI applications.
- Collaborate with cross-functional teams to design, develop, and maintain highly complex AI/ML systems.
- Develop and implement AI/ML interfaces, services, and analytic applications to support the company's initiatives and projects.
- Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
- This may involve containerization, API development, and integration with existing systems.
- Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency.
- This may involve parallelization, distributed computing, and resource management.
- Develop User Interfaces (UI) which support the business exploration and interaction with AI/ML models, scenarios, and planning.
- Work will business applications teams to code AI/ML intensive software and algorithms.
- Build services for driving intelligent decisions, interacting with machine learning models.
- Conduct research and stay updated on the latest advancements in AI/ML technology and tools.
- Analyze and optimize system performance to ensure efficient and effective use of resources.
- Deliver features to production while considering functional and non-functional requirements, including security, latency, disaster recovery, and performance.
- Take an active part in a Scrum team to deliver high quality software to the business.
REQUIREMENTS:
-8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
- Strong programming skills in Python and Java; experience with Machine Learning libraries and frameworks.
- Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
- Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka.
- Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred.
- Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms.
- Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure.
- Experience creating, documenting, and communicating software designs for complex products.
- Skilled with domain-driven, event-driven, and microservice architectures.
- Proficient in building, tracking, and communicating plans within agile processes.
- Capable of coaching/mentoring individuals and teams.
EDUCATION:
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or other relevant technical discipline
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