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Tensorflow Certification Jobs (NOW HIRING)

... TensorFlow Developer Certification Company : Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in ...

Certifications in Azure Client or Oracle Client or similar. * Minimum of 3 years of experience in ... Strong programming skills in Python and experience with AI/Client frameworks such as TensorFlow ...

Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Preferred Certifications (one or more): Google Cloud Professional Machine ...

... Any Certifications required: No Any additional information you would like to share about the ... PyTorch / TensorFlow) * Hands‑on experience with Generative AI / LLMs (OpenAI, Azure OpenAI ...

AI Engineer

VA · On-site

$106K - $128K/yr

TensorFlow Developer Certificate * AWS Certified Machine Learning - Specialty Behavioral Competencies: * Ability to analyze complex technical issues and create effective solutions * Ability to work ...

Developer

Plano, TX · On-site

$110K - $130K/yr

TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful ... Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick ...

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib • ... Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick ...

AI Solutions Developer

New City, NY

$50.50 - $69.50/hr

Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and ... Geographic location, Education and qualifications, Certifications and licenses, Relevant experience ...

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Tensorflow Certification information

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$37.5K

$122.7K

$196.5K

How much do tensorflow certification jobs pay per year?

As of Jun 14, 2026, the average yearly pay for tensorflow certification in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Tensorflow Certification vs Data Scientist?

AspectTensorflow CertificationData Scientist
Required CredentialsTensorFlow skills, online certificationStatistical, programming, and domain expertise
Work EnvironmentMachine learning projects, AI developmentData analysis, modeling, business insights
Industry UsageAI/ML teams, tech companiesFinance, healthcare, tech, research
Search/Comparison IntentLearning TensorFlow, AI certificationData analysis, career growth

The Tensorflow Certification focuses on validating skills in machine learning and AI using TensorFlow, often for roles in AI development teams. Data Scientists have broader expertise in data analysis, statistical modeling, and domain knowledge. While TensorFlow Certification emphasizes technical AI skills, Data Scientist roles encompass a wider range of data-related tasks. Both are valuable in tech and data-driven industries, but they serve different career paths and skill sets.

Infographic showing various Tensorflow Certification job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Subject Matter Expert - Computer Vision -Remote

Subject Matter Expert - Computer Vision -Remote

Cognizant

Remote

Full-time

Posted 4 days ago


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Summary:
Cognizant is one of the world's leading professional services companies, transforming clients' business and technology models for the digital era. They are seeking an experienced Computer Vision Subject Matter Expert to lead the design and implementation of advanced vision solutions that enhance automation and operational efficiency across various industries.
Responsibilities:
• Solution Architecture: Define and implement scalable vision architectures for multi-site environments, ensuring reliability and performance.
• Computer Vision Development: Build and optimize algorithms for object detection, tracking, anomaly detection, and quality assurance using frameworks like OpenCV, TensorFlow, and PyTorch.
• Edge & Cloud Integration: Deploy vision models on resource-constrained devices and integrate with AWS, Azure, or GCP for centralized analytics and reporting.
• Performance Optimization: Ensure low-latency inference, efficient resource utilization, and robust failover mechanisms for production systems.
• Governance & Standards: Establish best practices for security, compliance, and data management in vision deployments.
• Cross-Functional Collaboration: Work closely with operations, engineering, and business teams to align vision solutions with organizational goals.
Qualifications:
Required:
• Bachelor’s/Master’s in Computer Science, Electrical Engineering, or related field.
• 10+ years in Computer Vision with 3+ years in enterprise-scale deployments.
• Proven track record in designing and delivering production-grade vision systems.
• Computer Vision: Object detection, segmentation, tracking; OpenCV, TensorFlow, PyTorch.
• Edge AI: NVIDIA Jetson, Intel Movidius; model optimization (TensorRT, quantization).
• Cloud Platforms: AWS, Azure, or GCP for data processing and analytics.
• Programming: Python, C++, containerization (Docker/Kubernetes).
• Security & Compliance: Secure deployments, certificate management, and data privacy standards.
• Communication: Ability to convey complex technical concepts to diverse stakeholders.
• Ownership & Accountability: Drive end-to-end delivery of vision solutions.
• Collaboration: Partner effectively with cross-functional teams.
• Problem-Solving: Analytical mindset for troubleshooting and optimization.
• Leadership: Mentor teams and influence technology decisions.
Preferred:
• Experience with industrial automation and quality control systems.
• Familiarity with large-scale deployments in retail or manufacturing environments.
• Knowledge of regulatory compliance for video and image data.
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

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