Explore 2 python cloud platform developer jobs from 2 hiring companies in Amherst, NY, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer Jobs

M&T Bank

NT Concepts

Hybrid

Onsite

NTC OVERVIEW:&nbsp; We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We’re looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Machine Learning Engineer, you will have the unique opportunity to support research, design, and implement cutting edge algorithms for a program focused on building robust computer vision algorithms. This requires coding in Python with PyTorch, implementing and maintaining development environments and supporting ML tools, such as Kubeflow and MLFlow. Additionally, you will contribute to the program’s source code, implementing data science techniques.
Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to “automate-first”, use modern tech stacks, and constantly challenge each other to grow and improve.&nbsp;
If cutting edge data science projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let’s connect.&nbsp;
Technical members&nbsp;of our solutions teams require little guidance, but love to learn, collaborate, and problem solve. This position requires mid to senior&nbsp;level of experience, a passion for&nbsp;mission support, and a strong desire to solve our customers’ hardest technical and data challenges.&nbsp;
Clearance: TS/SCI Clearance required.
Location/Flexibility: Vienna, VA and Chantilly, VA with remote flexibility
Responsibilities:&nbsp;
As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications using existing and emerging technology platforms to deliver business value to our clients. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and develop your technical knowledge and skills to keep our team at the cutting edge of technology.
<ul>
<li>Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists.</li>
<li>Develop machine learning models and pipelines that are integral to mission success within this computer vision platform.</li>
</ul>
Qualifications: 
<ul>
<li>4+ years of relevant hands-on experience developing and implementing ML algorithms</li>
<li>Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code)</li>
<li>Understanding of machine learning techniques and algorithms, data mining, and statistical analysis.</li>
<li>Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred</li>
<li>Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD</li>
<li>Experience building and maintaining machine learning pipelines</li>
<li>Experience with container applications such as Docker, Kubernetes, OpenShift. Kubernetes is preferred</li>
<li>Practical programming and scripting skills (Python preferred)</li>
<li>Understanding of data structures, data modeling and software architecture.</li>
<li>A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams</li>
<li>Experience with synthetic data generation for training and evaluation of ML Models is a plus</li>
<li>Experience working with customers to better optimize their ML objectives</li>
<li>Fast learner, analytical thinker, creative, hands-on, strong communication skills</li>
<li>Able to work both independently and as part of a team</li>
<li>Excellent problem-solving skills and attention to detail</li>
<li>Experience working with LLMs for problem solving and code production in a safe and responsible manner</li>
</ul>
Physical Requirements:&nbsp;
<ul>
<li>Prolonged periods sitting at a desk and working on a computer.</li>
<li>Must be able to lift up to 10-15 pounds at times.</li>
</ul>
#JT<div class="content-conclusion"><hr>
<h3>About NT Concepts</h3>
Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end ​data and technology solutions ​that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative “big idea” problem-solving.
Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients’ most critical challenges. Here, you’ll&nbsp;<a href="https://www.ntconcepts.com/careers/benefits-and-perks/" target="_blank">gain competitive benefits</a>, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in <a href="https://www.ntconcepts.com/company/giving-back/" target="_blank">#NTC_GivesBack</a>, which paves the way for positive social change.
If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we’d love to have you move forward with us.
&nbsp;</div>

Machine Learning Engineer

4+ years of hands-on ML experience; Python with PyTorch/TensorFlow; cloud platforms (AWS/Azure/GCP); ML pipelines; Docker/Kubernetes; GitLab CI/CD; Scrum/DevSecOps practices; strong communication.

Title: Technical Engineer IVJob Location: 1 Seneca Street, Buffalo, NY 14203. Position requires in-office work four (4) days every week.Job Description: Design, implement, and maintain enterprise-grade ETL workflows incorporating parameterization, error handling, logging, and automation for scalable and reliable data integration. Develop automation scripts and workflows in Python or any other language for data ingestion, transformations, API integrations, and automation. Design and implement logical and physical data models to support scalable, secure, and high-performing database solutions. Develop and optimize T-SQL code, including complex queries, views, stored procedures, and user-defined functions, with a focus on performance tuning, execution plans, indexing, and best practices. Develop and execute automated unit, integration, and UAT tests for Python-based ETL pipelines and SQL Server data models, implementing robust data validation frameworks to ensure data quality. Design and support Power BI data sets, reports and Dashboards: model design, DAX optimization, workspace management, refresh scheduling, and access controls. Elicit and translate business requirements into technical specifications; clarify data definitions, ownership, and operational constraints across cross‑functional teams. Coordinate with vendors and third‑party platforms on integrations, upgrades, incident resolution, and best practices; maintain effective communication channels. Lead small engineering efforts, provide technical guidance, conduct code/design reviews, and mentor junior engineers. Follow SDLC and IT Service Management processes ensure reliable releases, rollbacks, and post‑implementation reviews.Minimum requirements: Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Computer Information Systems, Management Information Systems, or a related technical field plus five (5) years of experience in the job offered or as Technical Engineer, Software Engineer/Developer, Data/Business Intelligence Engineer, or related occupation. Requires five (5) years of experience with the following: Designing and maintaining enterprise-grade data pipelines; building automation scripts, ETL workflows, and API integrations; working with database design, optimization, and advanced T-SQL (queries, stored procedures, indexing, partitioning); Consuming REST/SOAP APIs with secure authentication, pagination, and error handling. Requires any amount of experience with the following: Developing complex dashboards and reports, writing advanced DAX queries, and managing workspaces for governance and performance; Working with strong cross-functional communication and requirements gathering with business and technology stakeholders; Working with cloud platforms such as Azure or AWS; Working with Git or similar tools for source code management; Writing test cases for data validation.Salary: $148,000 - $ 158,000<h1>Location</h1>Buffalo, New York, United States of America

Technical Engineer IV

Bachelor’s degree in a technical field plus five years of experience with ETL, data pipelines, SQL Server, BI, Python, REST/SOAP APIs, and cloud platforms.

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