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Hive Learning Jobs in Texas (NOW HIRING)

HCLTech

Machine Learning Engineer

Plano, TX · On-site

Hadoop, Hive/HQL, HDFS, Spark/PySpark, Kafka. • Experience with version control tools such as Git ... grade machine learning deployments. • Ability to design scalable, enterprise-level AI and ...

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB * Ad Tech experience is preferred

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB * Ad Tech experience is preferred

Avani Technology Solutions, Inc.

Bigdata Engineer

Plano, TX · On-site

$52 - $69/hr

... NoSQL, Hive, Apache Spark • Python • Java & REST • GIT and Version Control Desirable Technical Skills • Familiarity with HTTP and invoking web-APIs • Exposure to machine learning ...

Jobsbridge

Bigdata architect

Austin, TX · On-site

$63.25 - $81.25/hr

Skill Hive, Sqoop, Impala, Datameer and Platfora, UNIX, Agile, Waterfall, ETL, Application ... learning new technologies and products Self-starter who works with minimal supervision Strong ...

Ruri Software Technologies LLC

ML Engineer

Irving, TX · On-site

... hive and SQL * Collaborate with cross functional teams to gather reqs and design scalable solutions * Work on deployment of machine learning models - on prem cloud and Kubernetes * Monitor the ...

Tata Consultancy Service Limited

Technical Lead

Dallas, TX · On-site

$100K - $110K/yr

Validate machine learning pipelines and models, including experiment tracking via MLflow. * Monitor ... Solid experience with big data platforms (Hadoop, Hive, Impala, Sqoop). * Hands-on expertise in ...

CGI

Senior Data Engineer with DevOps

Dallas, TX · On-site

$129K - $165K/yr

Learning opportunities and tuition assistance . Wellness and Well being programs Skills: * Airflow * Containerization * DevOps * Elastic Stack & Elasticsearch * GitHub * Hadoop Hive * Jenkins * JSON ...

CGI Inc.

Senior Data Engineer with DevOps

Dallas, TX · On-site

$128K - $165K/yr

Learning opportunities and tuition assistance . Wellness and Well being programs Skills: * Airflow * Containerization * DevOps * Elastic Stack & Elasticsearch * GitHub * Hadoop Hive * Jenkins * JSON ...

Saxon Global

Data Scientist

Austin, TX

... Scala), Hadoop and Hive primarily - Should have ability to build and manipulate Spark RDD ... Machine Learning Ranjith Saxon Global Inc Direct: 972-573-3644 Desk: 972-363-1009* 218 ...

Sonsoft Inc

Data Scientist

Plano, TX

Selecting features, building and optimizing classifiers using machine learning techniques * Data ... Proficiency in using query languages such as SQL, Hive, Pig * Experience with NoSQL databases, such ...

Sonsoft Inc

Java Full Stack Developer (GC--USC)

Plano, TX · On-site

$50.25 - $64.75/hr

Experience with big data technologies like Hadoop / Hbase / Spark / Kafka / Hive etc * Strong understanding of Machine Learning and some experience with using ML libraries * Experience and desire to ...

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All JobsHive Learning JobsHive Learning Jobs in Texas

Hive Learning information

See Texas salary details

$10.2K

$78.2K

$130.4K

How much do hive learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for hive learning in Texas is $78,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $129,500.00 per year, depending on experience, location, and employer.

How does a Hive Learning facilitator typically collaborate with subject matter experts and participants to maximize engagement and learning outcomes?

As a Hive Learning facilitator, you will work closely with subject matter experts to co-create and adapt digital learning content, ensuring it is relevant and impactful for your audience. Facilitators often moderate discussions, encourage participation, and provide guidance to learners, fostering a collaborative online environment. Regular communication with both content creators and participants helps identify areas for improvement and address any challenges quickly. This role requires strong interpersonal skills and the ability to adapt facilitation techniques to meet the evolving needs of diverse teams.

What are the key skills and qualifications needed to thrive as a Learning and Development Specialist at Hive Learning, and why are they important?

To thrive as a Learning and Development Specialist at Hive Learning, you need expertise in instructional design, adult learning principles, and experience in creating digital learning content, often supported by a degree in education, HR, or a related field. Familiarity with learning management systems (LMS), content authoring tools, and digital collaboration platforms is typically required. Outstanding facilitation, communication, and stakeholder management skills help you engage learners and drive organizational change. These capabilities are essential to ensure effective knowledge transfer, foster engagement, and achieve impactful learning outcomes in a digital-first environment.

What is the difference between Hive Learning vs Learning and Development Specialist?

AspectHive LearningLearning and Development Specialist
CredentialsTypically requires experience in corporate training, instructional design, or e-learning platformsRequires similar credentials, often with certifications in training, HR, or instructional design
Work EnvironmentPrimarily in corporate settings, focusing on employee engagement and digital learning solutionsWorks in corporate, educational, or organizational environments developing training programs
Industry UsageUsed across industries for digital learning initiatives and employee developmentCommonly employed in HR and organizational development departments
Search & Comparison IntentOften compared for roles involving digital learning platforms and corporate trainingCompared for designing and implementing employee training programs

Both roles focus on employee learning and development, with Hive Learning emphasizing digital platforms and innovative learning solutions, while Learning and Development Specialists often handle broader training program design and delivery. The choice depends on whether the focus is on digital learning tools or comprehensive training program management.

What is Hive Learning?

Hive Learning is a digital platform designed to facilitate collaborative learning and knowledge sharing within organizations. It helps teams build skills, drive behavioral change, and create a culture of continuous improvement by enabling users to engage in group discussions, share resources, and participate in interactive learning experiences. The platform is often used for employee training, diversity and inclusion initiatives, and leadership development programs.
What are popular job titles related to Hive Learning jobs in Texas? For Hive Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Hive Learning jobs in Texas look for? The top searched job categories for Hive Learning jobs in Texas are:
Hive Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

HCLTech

Plano, TX • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
HCLTech is looking for an experienced AI/ML Engineer / Data Scientist to design, develop, and deploy advanced machine learning and data science solutions. The ideal candidate will have expertise in predictive modeling, deep learning, NLP, and large-scale data analytics, with hands-on experience building end-to-end ML workflows.
Responsibilities:
• Design, develop, and deploy machine learning and advanced analytics solutions for business use cases.
• Gather, analyze, and transform structured and unstructured data to support data-driven decision-making.
• Build and optimize predictive models using machine learning, deep learning, and statistical techniques.
• Develop sequence-based models using RNNs, LSTMs, Transformers, and related architectures.
• Analyze high-volume clickstream and session-level data to derive actionable insights.
• Select appropriate modeling techniques based on data characteristics, business requirements, and performance objectives.
• Develop and maintain scalable ML workflows and model pipelines.
• Implement NLP and text analytics solutions using modern libraries and frameworks.
• Monitor, govern, and maintain machine learning models throughout their lifecycle.
• Collaborate with business stakeholders, data engineers, and cross-functional teams to deliver analytical solutions.
• Write high-quality, reusable, and well-tested code following software engineering best practices.
• Build dashboards, visualizations, or GUI-based interfaces as needed to support business users.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 6+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.
• Strong programming experience in Python, R, and SQL.
• Experience with machine learning algorithms including: XGBoost, Decision Trees, Random Forests, Logistic Regression, Support Vector Machines (SVM), Gradient Boosting, Bayesian Networks, Clustering Algorithms, Dimensionality Reduction Techniques.
• Experience developing sequence models using RNNs, LSTMs, and Transformers.
• Hands-on experience with TensorFlow, Keras, and/or PyTorch.
• Strong knowledge of Natural Language Processing (NLP) and Text Analytics.
• Experience with NLP libraries such as NLTK and SpaCy.
• Experience building and managing end-to-end ML workflows.
• Strong knowledge of Python data science libraries including: NumPy, SciPy, Scikit-learn.
• Experience in model deployment, governance, monitoring, and maintenance.
• Strong analytical, problem-solving, and communication skills.
Preferred:
• Experience with Data Science platforms such as Dataiku, H2O, Azure ML, or similar.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Knowledge of Big Data technologies such as: Hadoop, Hive/HQL, HDFS, Spark/PySpark, Kafka.
• Experience with version control tools such as Git, GitHub, GitLab, SVN, or Mercurial.
• Experience building session-level analytics and clickstream models.
• Experience working in Agile development environments.
• Familiarity with MLOps and production-grade machine learning deployments.
• Ability to design scalable, enterprise-level AI and analytics solutions.
Company:
HCLTech is a global IT company offering digital, engineering, and cloud solutions partnering with businesses for transformation. Founded in 1976, the company is headquartered in Noida, IND, with a team of 10001+ employees. The company is currently Late Stage.

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