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Tensorflow Pytorch Jobs in Buffalo, NY (NOW HIRING)

acv

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. * Experience designing and maintaining visual data annotation pipelines and evaluation ...

acv

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$110K - $133K/yr

Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. * Experience designing and maintaining visual data annotation pipelines and evaluation ...

acv

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. * Experience designing and maintaining visual data annotation pipelines and evaluation ...

acv

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. * Experience designing and maintaining visual data annotation pipelines and evaluation ...

acv

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$110K - $133K/yr

Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. * Experience designing and maintaining visual data annotation pipelines and evaluation ...

acv

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$110K - $133K/yr

Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. * Experience designing and maintaining visual data annotation pipelines and evaluation ...

Pragmatike

Principal AI/ML Engineer

Boston, NY · On-site

Deep hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn * Strong proficiency in Python * Experience designing scalable ML systems and pipelines * Ability to operate ...

ACV

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$110K - $133K/yr

Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL. * Experience designing and maintaining visual data annotation pipelines and evaluation ...

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Tensorflow Pytorch information

See Buffalo, NY salary details

$36.3K

$118.9K

$190.3K

How much do tensorflow pytorch jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tensorflow pytorch in Buffalo, NY is $118,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $131,700.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Buffalo, NY?

For Tensorflow Pytorch jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Buffalo, NY look for?

The top searched job categories for Tensorflow Pytorch jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Tensorflow Pytorch jobs?

Cities near Buffalo, NY with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Buffalo, NY as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,892 per year, or $57.2 per hour.

Quantitative Strategist - Balance Sheet Strategy & Financial Resource Analysis, AVP

Mizuho Financial Group Inc.

Niagara Falls, NY • On-site

$91 - $145/hr

Other

Medical, Dental, Retirement

Posted 13 days ago

Job description

Position

Quantitative Strategist – Balance Sheet Strategy & Financial Resource Analysis, AVP

Location: New York, NY (On site)

Employment Type: Full-Time

Responsibilities
  • Develop and enhance quantitative analytics for RWA, regulatory capital, leverage exposure, and financial resource optimization across Counterparty Credit Risk (CCR), SA-CCR, Securities Financing Transactions (SFT), Credit Valuation Adjustment (CVA), and Market Risk.
  • Perform RWA attribution, forecasting, and capital consumption analyses to identify optimization opportunities.
  • Support BaselIII Endgame implementation, including rule interpretation, impact assessments, and parallel runs.
  • Build and maintain Python‑based models and data pipelines for capital forecasting, scenario analysis, and stress testing.
  • Apply AI / Machine Learning techniques to enhance forecasting, pattern detection, data quality, and analytical accuracy.
  • Leverage generative AI and Large Language Models (LLMs) to accelerate documentation, code development, rule interpretation, and process automation.
  • Automate regulatory capital calculations and develop scalable analytics and reporting capabilities.
  • Prepare methodology documentation and analytical specifications in line with model governance standards (SR26‑2).
  • Support interactions with Model Validation, Internal Audit, Regulatory Reporting, and regulators.
  • Present analytical findings and capital impacts to business and senior management stakeholders.
Qualifications & SkillsEducation
  • Bachelor’s or master’s degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, or a related quantitative field.
  • Professional certifications such as CFA, FRM, PRM, or CQF are a plus.
Experience
  • 5–8 years of experience in regulatory capital, financial resource management, balance sheet management, or quantitative risk analytics at a large financial institution.
  • Hands‑on experience with SA‑CCR, CCR, SFT, BA‑CVA, Market Risk Capital, or BaselIII Endgame.
  • Practical experience applying AI / machine learning or generative AI tools in a financial or analytical context is highly desirable.
Technical Skills
  • Regulatory: Strong knowledge of BaselIII / U.S. BaselIII Endgame, SA‑CCR, CCR, SFT, BA‑CVA, Market Risk Capital, and RWA methodologies.
  • Quantitative: Model development, statistical analysis, forecasting, and exposure measurement; solid understanding of derivatives and securities financing.
  • AI & Machine Learning: Familiarity with ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch), generative AI / LLMs, and their application to analytics, automation, and productivity. Awareness of AI governance and model risk considerations.
  • Technology: Advanced Python and SQL; Pandas / NumPy and Power BI. Databricks, PySpark, Snowflake, Azure, and Git preferred.
Soft Skills
  • Strong analytical and problem‑solving abilities.
  • Clear communication of technical concepts to non‑technical audiences.
  • Intellectual curiosity and eagerness to adopt emerging AI‑driven tools and techniques.
  • Detail‑oriented, self‑motivated, and able to manage multiple priorities in a fast‑paced, regulated environment.
Work Arrangement

Mizuho has a hybrid working program. Remote work opportunities depend on the role, departmental needs, and local regulations. Some positions may require more in‑office presence, which will be communicated during hiring.

Benefits & Compensation
  • Competitive base salary ranging from $91,000–$145,000, adjusted for skills, experience, education, and certifications.
  • Performance‑based discretionary bonus.
  • Comprehensive benefits package including Medical, Dental, and 401(k). Additional benefits details available upon request.

We are an EEO/AA Employer – M/F/Disability/Veteran. We participate in the E‑Verify program.

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