Senior AI/ML Developer
Irving, TX · On-site
Automation Anywhere, Xceptor, Test automation: Selenium • Java or Angular knowledge for integrations with enterprise systems. • Experience with observability tools (Splunk, Grafana) Company
Senior AI/ML Developer
Irving, TX · On-site
Automation Anywhere, Xceptor, Test automation: Selenium • Java or Angular knowledge for integrations with enterprise systems. • Experience with observability tools (Splunk, Grafana) Company
Xceptor information
See Texas salary details
$7.82 - $12.05
16% of jobs
$13.34 is the 25th percentile. Wages below this are outliers.
$12.05 - $16.28
29% of jobs
The median wage is $17.34 / hr.
$16.28 - $20.51
19% of jobs
$24.25 is the 75th percentile. Wages above this are outliers.
$20.51 - $24.73
12% of jobs
$24.73 - $28.96
8% of jobs
$28.96 - $33.19
5% of jobs
$33.19 - $37.42
4% of jobs
$37.42 - $41.65
2% of jobs
$41.65 - $45.87
2% of jobs
$45.87 - $50.10
1% of jobs
$50.10 - $54.33
1% of jobs
$7
$23
$54
How much do xceptor jobs pay per hour?
As of Aug 13, 2026, the average hourly pay for xceptor in Texas is $23.17, according to ZipRecruiter salary data. Most workers in this role earn between $13.32 and $27.06 per hour, depending on experience, location, and employer.
What types of projects does a Xceptor typically work on?
As an Xceptor specialist, you will often be involved in automating complex data workflows for financial institutions, such as reconciliations, regulatory reporting, and client onboarding processes. Your daily tasks usually include configuring and optimizing Xceptor solutions, liaising with business stakeholders to understand requirements, and troubleshooting issues to maintain data accuracy. You’ll work closely with operations and IT teams to implement enhancements and ensure robust process automation. This role provides opportunities to build expertise in automation technology while supporting key business functions and driving efficiency across the organization.
What is a Xceptor?
A Xceptor job typically involves working with Xceptor, a data automation and workflow platform used in financial services and other industries. Roles related to Xceptor often include configuration, maintenance, and optimization of processes that handle large volumes of structured and unstructured data. Responsibilities may include developing automation scripts, integrating Xceptor with other systems, and troubleshooting data processing issues. These jobs require knowledge of data transformation, scripting languages, and workflow automation.
What are the key skills and qualifications needed to thrive as a Xceptor, and why are they important?
To thrive as an Xceptor specialist, you need a strong foundation in data analysis, process automation, and financial operations, typically supported by experience in financial services or operations roles. Familiarity with the Xceptor platform, data transformation tools, SQL, and potentially certifications in automation solutions are highly valuable. Attention to detail, problem-solving skills, and effective communication are essential soft skills for success in this role. These qualifications ensure accurate data processing, seamless workflow automation, and successful collaboration with business and technology teams.
What are popular job titles related to Xceptor jobs in Texas?
For Xceptor jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Xceptor jobs in Texas look for?
The top searched job categories for Xceptor jobs in Texas are:
What cities in Texas are hiring for Xceptor jobs?
Cities in Texas with the most Xceptor job openings:
Job description
Job Summary:
ClifyX is a company focused on advanced AI and ML solutions, and they are seeking a Senior AI/ML Developer. The role involves building and deploying machine learning pipelines, developing GenAI solutions, and implementing MLOps practices while collaborating with cross-functional teams.
Responsibilities:
• Build and deploy full ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Develop GenAI/LLM solutions, including RAG, vector search, fine tuning, and prompt optimization.
• Build scalable Python-based services/APIs using TensorFlow/PyTorch, FastAPI/Flask, and cloud technologies.
• Implement MLOps practices with MLflow/Kubeflow/SageMaker/Azure ML, CI/CD, and automated orchestration (Airflow, Prefect, Autosys).
• Ensure data quality, security, and compliance with model governance (SR 11 7), explainability, and financial regulatory standards.
• Collaborate with cross functional teams to translate business needs into AI solutions; provide mentorship and perform code/design reviews.
Qualifications:
Required:
• 5+ years of hands on with ML technologies.
• Expert Python and strong experience with ML/DL frameworks (TensorFlow, PyTorch, scikit learn)
• Hands on experience with LLMs, RAG architectures, vector databases, and GenAI toolkits
• Strong SQL/data engineering experience; proficiency with Spark/Databricks.
• Cloud engineering (Azure/AWS/GCP), Docker/Kubernetes, and CI/CD pipelines.
• Experience building production ML services and implementing monitoring for drift, performance, and reliability.
• Strong communication skills and ability to influence architecture and best practices.
Preferred:
• Financial domain expertise (risk, fraud, forecasting, customer intelligence).
• Advanced ML topics: time series, graph ML, optimization, causal inference.
• ONNX/TensorRT model optimization and real time inference experience.
• Automation Background: RPA tools: Automation Anywhere, Xceptor, Test automation: Selenium
• Java or Angular knowledge for integrations with enterprise systems.
• Experience with observability tools (Splunk, Grafana)
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX is a company focused on advanced AI and ML solutions, and they are seeking a Senior AI/ML Developer. The role involves building and deploying machine learning pipelines, developing GenAI solutions, and implementing MLOps practices while collaborating with cross-functional teams.
Responsibilities:
• Build and deploy full ML pipelines: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
• Develop GenAI/LLM solutions, including RAG, vector search, fine tuning, and prompt optimization.
• Build scalable Python-based services/APIs using TensorFlow/PyTorch, FastAPI/Flask, and cloud technologies.
• Implement MLOps practices with MLflow/Kubeflow/SageMaker/Azure ML, CI/CD, and automated orchestration (Airflow, Prefect, Autosys).
• Ensure data quality, security, and compliance with model governance (SR 11 7), explainability, and financial regulatory standards.
• Collaborate with cross functional teams to translate business needs into AI solutions; provide mentorship and perform code/design reviews.
Qualifications:
Required:
• 5+ years of hands on with ML technologies.
• Expert Python and strong experience with ML/DL frameworks (TensorFlow, PyTorch, scikit learn)
• Hands on experience with LLMs, RAG architectures, vector databases, and GenAI toolkits
• Strong SQL/data engineering experience; proficiency with Spark/Databricks.
• Cloud engineering (Azure/AWS/GCP), Docker/Kubernetes, and CI/CD pipelines.
• Experience building production ML services and implementing monitoring for drift, performance, and reliability.
• Strong communication skills and ability to influence architecture and best practices.
Preferred:
• Financial domain expertise (risk, fraud, forecasting, customer intelligence).
• Advanced ML topics: time series, graph ML, optimization, causal inference.
• ONNX/TensorRT model optimization and real time inference experience.
• Automation Background: RPA tools: Automation Anywhere, Xceptor, Test automation: Selenium
• Java or Angular knowledge for integrations with enterprise systems.
• Experience with observability tools (Splunk, Grafana)
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About ClifyX
Sourced by ZipRecruiter
ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
South Plainfield, NJ, US
Year founded
1998