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Junior Ai Machine Learning Python Jobs in Buffalo, NY

acv

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer IV to join ... Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python ...

BetterCloud

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$120 - $150/hr

What you will do ACV's Machine Learning organization is looking for a talented Machine Learning ... Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python ...

acv

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$110K - $133K/yr

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join ... Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python ...

acv

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$110K - $133K/yr

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join ... Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python ...

acv

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer IV to join ... Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python ...

Moog, Inc.

AI Systems Analyst

Buffalo, NY · On-site

$85K - $110K/yr

Stay updated with the latest trends and advancements in AI and machine learning To be considered ... Proficiency in programming languages including C#, Python, and SQL * Experience working with data ...

Moog

AI Systems Analyst

Buffalo, NY · Hybrid

$85K - $110K/yr

Stay updated with the latest trends and advancements in AI and machine learning To be considered ... Proficiency in programming languages including C#, Python, and SQL * Experience working with data ...

Pwc

CTIO AI Engineering Manager

Buffalo, NY · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Pwc

AI Solutions Engineering Delivery Lead

Buffalo, NY · On-site

$99K - $130K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and ...

ACV

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$140K - $180K/yr

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer IV to join ... Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python ...

ACV

Machine Learning Engineer III, Data

Buffalo, NY · On-site

$130K - $173K/yr

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join ... Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python ...

M&T Bank

Lead AI Platform Engineer

Buffalo, NY

$116K - $194K/yr

Contribute handson development using modern languages and frameworks (e.g., Java, Python, C# ... Working knowledge of machine learning and large language model (LLM) fundamentals * Experience ...

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Junior Ai Machine Learning Python information

See Buffalo, NY salary details

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How much do junior ai machine learning python jobs pay per year?

As of Aug 13, 2026, the average yearly pay for junior ai machine learning python in Buffalo, NY is $91,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $92,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Buffalo, NY? For Junior Ai Machine Learning Python jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Buffalo, NY look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Junior Ai Machine Learning Python jobs? Cities near Buffalo, NY with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

Machine Learning Engineer IV, Data

acv

Buffalo, NY • On-site

$54 - $71.50/hr

Full-time

Re-posted 12 days ago

Job description

What you will do:

ACV's Machine Learning organization is looking for a talented Machine Learning Engineer IV to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale.

This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that.

The core responsibilities of this role are:

  • Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
  • Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
  • Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions.
  • Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments.
  • Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference.

Required Qualifications:

  • Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
  • 5+ years of prior computer vision experience
  • Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
  • Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets.
  • Experience optimizing high-latency models for real-time inference
  • Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle.
  • Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving.

Preferred Qualifications:

  • Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on
  • Experience designing evaluation frameworks for complex visual data
  • Experience leading technical design reviews

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