Tenacity Python Jobs in Usa
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With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-
The AI Products & Analytics team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data solutions and products to solve client and consumer problems. We are a cross‑functional team of data scientists, product/program managers, data engineers and ML Engineers focused on generating value for the payment ecosystem. We are dreaming of the next generation of AI features and products, Agentic AI solutions and high‑quality analytics and data science support for our internal partner teams.
This position is in the AI Practices & COE sub‑team under the AI Products & Analytics team, focused on AI Transformation of the Global Data Office. The AI Transformation program aims to accelerate operational efficiency and foster innovation through targeted automation. By deploying scalable AI solutions to existing time‑consuming workflows with high potential for AI disruption, this will ensure measurable, sustainable benefits across the Global Data Office.
Responsibilities
- Design and implement agentic AI workflows to automate multi‑step tasks and drive business impact.
- Integrate predictive, generative, and prescriptive AI models into enterprise processes for decision support and efficiency gains.
- Apply ML, deep learning, and NLP techniques to diverse datasets, building scalable, secure data pipelines for AI training, inference, and monitoring.
- Collaborate with product managers, engineers, and domain experts to embed AI solutions into operations.
- Define, track, and report KPIs to measure productivity improvements, cost savings, and accuracy gains.
- Validate AI impact through experimentation frameworks such as A/B testing and performance benchmarking.
- Document workflows, models, and processes to ensure knowledge sharing and adherence to best practices.
- Stay current on emerging AI frameworks and LLM‑based automation, prototyping innovative solutions for rapid adoption.
- Communicate complex technical concepts clearly to technical and non‑technical stakeholders, fostering cross‑functional collaboration.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Relocation assistance is not provided for this role.
Basic Qualifications
- 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
Preferred Qualifications
- 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
- 2+ years of hands‑on work experience with process/workflow automation and experience deploying Agentic AI solutions.
- Advanced Degree with specialization in AI, Computer Science, Data Science, Engineering, Statistics or a highly quantitative field.
- Strong technical proficiency in machine learning and AI frameworks, including TensorFlow, PyTorch, scikit‑learn, and Hugging Face Transformers.
- Experience with agentic AI and orchestration tools such as LangChain, LlamaIndex, or similar frameworks for multi‑step task automation.
- Solid data engineering skills, including SQL, Spark, Databricks, Airflow, Kafka, and ETL/ELT pipeline development.
- Proficiency in Python (primary) and familiarity with Java, Scala, or R.
- Experience with cloud and MLOps practices, including CI/CD, model monitoring, retraining pipelines, and containerization (Docker, Kubernetes).
Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position.
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5‑10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 137,400.00 to 193,750.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job‑related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
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At MVP Health Care, we're on a mission to create a healthier future for everyone. That means embracing innovation, championing equity, and continuously improving how we serve our communities. Our team is powered by people who are curious, humble, and committed to making a difference-every interaction, every day. We've been putting people first for over 40 years, offering high-quality health plans across New York and Vermont and partnering with forward-thinking organizations to deliver more personalized, equitable, and accessible care. As a not-for-profit, we invest in what matters most: our customers, our communities, and our team.
What's in it for you:
- Growth opportunities to uplevel your career
- A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
- Competitive compensation and comprehensive benefits focused on well-being
- An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.
You'll contribute to our humble pursuit of excellence by bringing curiosity to spark innovation, humility to collaborate as a team, and a deep commitment to being the difference for our customers. Your role will reflect our shared goal of enhancing health care delivery and building healthier, more vibrant communities.
What You'll Get to Do
- Engineer, implement, and maintain secure, scalable, and highly available cloud infrastructure utilizing Microsoft Azure and other cloud technologies.
- Collaborate closely with application teams, architects, security, networking, and leadership to deliver reliable cloud solutions.
- Automate cloud deployments and configurations using Terraform, Bicep, or ARM templates.
- Build and optimize CI/CD pipelines for infrastructure deployments.
- Drive adoption of cloud engineering standards, architecture patterns, and best practices.
- Implement cloud monitoring, logging, and alerting using Azure Monitor, Log Analytics, and Application Insights.
- Continuously optimize cloud cost, performance, and scalability across workloads
- Participate in incident response and troubleshooting to ensure uptime and performance.
- Evaluate new Azure services, run proofs-of-concept, and drive platform innovation.
- Mentor junior engineers and contribute to a culture of learning and technical excellence.
Skills and Experience
- Education, Licensures, & Certifications
- Bachelor's degree in computer science, information technology, system engineering, system analysis, or equivalent experience.
- Required Job Skills
- Strong technical experience working in Microsoft Azure including compute, storage, networking, security, and automation.
- 5+ years in Information Technology, with at least 3+ years in Azure-based Cloud Engineering or Infrastructure roles.
- Microsoft Azure certifications are a plus.
- Proficiency in Infrastructure as Code (IaC) tools such as Terraform, ARM, or Bicep.
- Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and modern DevOps practices.
- Experience with Cloud governance through Policies, Blueprints, RBAC, and landing zone architecture.
- Experience with Cloud Identity Providers (EntraID).
- Scripting experience in PowerShell, Python, or Bash.
- Strong planning, communication, organizational, and problem-solving skills.
- Prior experience in healthcare or regulated industries is a plus.
Pay Transparency
MVP Health Care is committed to providing competitive employee compensation and benefits packages. The base pay range provided for this role reflects our good faith compensation estimate at the time of posting. MVP adheres to pay transparency nondiscrimination principles. Specific employment offers and associated compensation will be extended individually based on several factors, including but not limited to geographic location; relevant experience, education, and training; and the nature of and demand for the role.
We do not request current or historical salary information from candidates.
$93,667.00-$124,576.75
MVP's Inclusion Statement
At MVP Health Care, we believe creating healthier communities begins with nurturing a healthy workplace. As an organization, we strive to create space for individuals from diverse backgrounds and all walks of life to have a voice and thrive. Our shared curiosity and connectedness make us stronger, and our unique perspectives are catalysts for creativity and collaboration.
MVP is an equal opportunity employer and recruits, employs, trains, compensates, and promotes without discrimination based on race, color, creed, national origin, citizenship, ethnicity, ancestry, sex, gender identity, gender expression, religion, age, marital status, personal appearance, sexual orientation, family responsibilities, familial status, physical or mental disability, handicapping condition, medical condition, pregnancy status, predisposing genetic characteristics or information, domestic violence victim status, political affiliation, military or veteran status, Vietnam-era or special disabled Veteran or other legally protected classifications.
To support a safe, drug-free workplace, pre-employment criminal background checks and drug testing are part of our hiring process. If you require accommodations during the application process due to a disability, please contact our Talent team at .
As an AS II in PI, you will partner closely with science leadership, business stakeholders, applied scientists, economists, and engineers to solve key business problems that are at the core of economic prediction and cost optimization for Amazon, empowering downstream teams to make high-velocity, high-quality profitability decisions for both short term and long term. You will utilize massive data, state-of-the-art scientific computing, econometrics, time-series forecasting, and machine-learning, etc. to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, business analysts, data engineers, product managers, and software engineers. The team is unique in its exposure to company-wide strategies, and operates at the research frontier of utilizing data, machine-learning, artificial intelligence to inform business profitability strategies.
Key job responsibilities
1) Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Candidate should show a tracking record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors).
2) Experiments and prototype implementations of new machine learning algorithms and prediction techniques, with a capacity for dealing with a high-level of ambiguity.
3) Partners with scientists, engineers, product managers, and stockholders to use data and model driven approach to influence business decisions
4) Influence the team to adopt cutting edge technologies and machine learning best practices to ensure a high standard of quality for all of the team deliverables- 2+ years of building models for business application experience
- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience in prediction and forecasting in a research or industrial environment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , WA, Seattle - 142,8 ,200.00 USD annually
At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.
Position Overview
The Lead AI Safety and Enablement Engineer ensures the safe, reliable and scalable use of AI and machine learning across Exact Sciences. This role focuses on developing and implementing systems, tools, and frameworks that embed responsible AI principles into the organization’s technology ecosystem. The position combines software engineering expertise with a strong understanding of AI risk management, compliance, and observability.
This role is based in one of our office location. Relocation assistance provided to those not local to the area and willing to relocate.
Essential Duties
Include, but are not limited to, the following:
- Support implementation of enterprise standards for AI safety, transparency, and reliability.
- Develop and maintain shared AI safety tools such as model catalogs, metadata registries, and monitoring systems for bias, drift, and performance.
- Build APIs, templates, and SDKs that integrate governance and validation into AI/ML development pipelines.
- Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality.
- Collaborate with Legal, Privacy, Compliance, and InfoSec teams to translate AI policies into automated controls and technical safeguards.
- Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows.
- Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices.
- Promote awareness and adoption of responsible AI principles through tools, documentation, and knowledge sharing.
- Support and comply with the company’s Quality Management System policies and procedures.
- Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
- Maintain regular and reliable attendance.
- Ability to act with an inclusion mindset and model these behaviors for the organization.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
- 8 years of experience in software, ML systems, or platform engineering.
- Practical experience with AI lifecycle tools (e.g., MLflow, Arize, WhyLabs, Label Studio).
- Proficiency in Python, CI/CD processes, and cloud platforms (AWS, Azure, or GCP).
- Experience developing scalable and compliant ML systems and tools.
- Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.
Preferred Qualifications
- Master’s degree in Computer Science, Data Engineering, or AI.
- Experience implementing AI assurance, observability, or risk management frameworks.
- Knowledge of GenAI, LLM evaluation, and prompt safety practices.
- Familiarity with FDA, HIPAA, or GxP compliance standards.
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Salary Range:
$184,000.00- $276,000.00
The annual base salary shown is for this position located in US - WI - Madison on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible.
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.
Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.
Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.
To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.
Title: Systems Design Engineer (Emulation and Prototyping) - Intermediate (US)
Location: San Jose, CA (Hybrid)
Duration: 06-12 months contract with possibility of extension
Must have skills:
- FPGA Design Experience
- RTL Design using Verilog/System Verilog
- Exposure to any Emulation or Prototyping Platform (HAPS/Zebu, Protium/Palladium)
Job Duties:
In this position, the engineer will have the following key responsibilities: Hardware emulation model creation. Importing design RTL. Provide RTL patches to address non-synthesis issues. Compile emulation model. Debugging issues found during the process, bring-up, validation, and production phases of SOC programs. Perform pre-silicon verification & validation and emulation to ensure functional correctness and performance. Partition large SoC RTL for multi‑FPGA platforms; develop and maintain HAPS/FPGA build infrastructure including scripts, flows, and makefiles. Integrate custom transactors, high‑speed interfaces, and debug instrumentation. Work with various pre-silicon tools and concepts such as emulation, FPGA, software models, N-1 silicon usage, etc., including pre-to-post-silicon initiatives
Experience and Education:
3-4 years of experience on emulation based functional and performance verification for multimillion gate SoC designs. Should have strong exposure to RTL coding and SOC bring-up. Hands‑on experience with Synopsys HAPS, Protium, Palladium, or other FPGA/emulation platforms. Experience with SoC buses and protocols: AXI, ACE, APB, PCIe, DDR, Ethernet, SerDes‑based links, etc. Strong RTL design background using SystemVerilog/Verilog. Good debugging skills, experience of working with various debugging tools on RTL like Verdi, fsdb analysis. Familiarity with ASIC design flows including emulation, verification and bring up. Expertise in scripting/automation: Python, Perl, Tcl, Make/CMake, Shell.
Regards,
Prachi Sharma
P: (4 | (877) 874-5966 X 116
E:
Job Description:
- Strong proficiency in C++ and Python
- Deep understanding of:
- 5G cellular architecture
- TCP/IP networking
- Cross layer network diagnostics
- Experience working with:
- Cellular communication modules (e.g., Qualcomm platforms 525M)
- Linux based (Yocoto) embedded environments
- Ability to analyze and modify low level source code
- Knowledge of Wi Fi systems and device connectivity behavior
- Strong debugging, testing, and validation skills
We have an immediate opening for a Solution Architect - GenAI with a leading IT service/solutions provider in Charlotte/Atlanta .
Job Title: Solution Architect - GenAI
Location: Charlotte/Atlanta (Hybrid 3 Days Onsite)
We are looking for a highly experienced and hands-on Solution Architect with over 10+ years of expertise in building scalable, enterprise-grade frameworks and foundational services to support next-generation Generative AI solutions.
Key Responsibilities:
- Lead and mentor a team of engineers working on full stack development of GenAI foundational services and framework.
- Architect and implement scalable and reusable infrastructure components to support enterprise-wide AI/ML initiatives.
- Define and drive the integration strategy for LLMs and Agentic AI models into core systems and frameworks.
- Collaborate with platform, data, and ML teams to define data pipelines and infrastructure for GenAI model training, deployment, and monitoring.
- Ensure GenAI solutions are technically feasible, aligned with enterprise architecture, and meet scalability and performance requirements.
- Actively participate in the design, development, and maintenance of high-performance applications using Java, Python, JavaScript, Scala, PySpark, Spark, and Snowflake.
- Work extensively on AWS services, including designing and deploying serverless or containerized solutions using ECS, Lambda, S3, Glue, etc.
- Develop and deploy robust microservices-based and event-driven architectures using modern frameworks.
- Integrate and work with GenAI frameworks and APIs such as OpenAI, Hugging Face, Google Vertex AI, or other enterprise-grade platforms.
- Establish coding standards, perform peer code reviews, and ensure adherence to best practices, including test automation and CI/CD controls.
- Ensure security compliance through vulnerability detection and remediation and implement OWASP best practices in the application lifecycle.
- Collaborate with cross-functional Agile teams including Product Owners, QA, and DevOps for sprint planning, delivery, and continuous improvement.
Title: BMC Firmware Engineer - Senior
Location: Austin, TX - Onsite
Duration: 12 Months (Possible to extension)
Job Description:
Top must haves:
- Zephyr OS working knowledge
- Bare metal bring up with Zephyr
- MCTP/PLDM knowledge
- BMC or equivalent working knowledge open
- BMC experience is plus
Key Responsibilities:
• Contribute to firmware for supporting next generation interconnect technologies both for *** proprietary and industry standards like PCIe, CXL, MCTP, UBM, and USB4.
• Engage as a teammate and work closely with multi-functional teams such as BMC, power management, architecture, design and verification on delivery of integrated firmware solutions.
• Develop low level firmware for embedded systems in an RTOS environment.
• Develop and support full design cycle of embedded firmware solutions including pre-si, post-si and production
Requirements:
• Specialist in C, strong in C++ or Python
• Highly Proficient in developing firmware based on industry standard initiatives PLDM, MCTP, SPDM.
• Knowledge of low-level protocols including I2c, I3c, PCIe, JTAG, SPI, eSPI, UART expected
• Hands on experience with end-to-end Firmware from pre to post-silicon and production cycle.
• 5+ years device driver or embedded firmware development experience
• Experience with Zephyr RTOS
• Demonstrated proficiencies with firmware lab debug, triaging and implementation of bug fixes for silicon bring-up, through production.
• Comfortable in Linux build environment
Academic Credentials:
• BSEE, BSCS, or BSCE degree or higher.
• 5+ years or more of firmware development.
• 3+ years or more of manageability firmware experience.
We’re seeking a hands-on Mechanical Engineer to design, test, and improve rotating electrical connectors and motion control components used in industrial automation applications. This role partners with manufacturing, machine shops, and cross-functional engineering teams to bring products from concept through production.
What You’ll Do
- Design and develop custom rotary electrical connectors and rotating mechanical assemblies
- Create SolidWorks 2D and 3D CAD models, detailed drawings, and work instructions
- Build, test, and troubleshoot mechanical prototypes
- Support manufacturing, assembly, first-article qualification, and production
- Manage multiple engineering projects and customer-driven timelines
- Collaborate with vendors and machine shops to improve design for manufacturability (DFM)
- Drive improvements in product performance, reliability, and cost
Required Qualifications
- Bachelor’s degree in mechanical engineering or related field
- 4–5+ years of mechanical engineering experience
- Advanced SolidWorks CAD proficiency
- Experience with complex assemblies, tight tolerances, and GD&T fundamentals
- Hands-on experience with manufacturing processes and prototyping
Preferred Qualifications
- Experience with rotary seals, bearings, O-rings, and rotating equipment
- Knowledge of materials selection and qualification
- Basic electrical engineering principles
- Experience with machining, product testing, or validation (HALT)
- Familiarity with industrial standards (ISO, CE, UL, IEC)
- Exposure to Arduino, Python, or automation-related programming
On-Site | Middleton, WI
About the Company
Mesavita Engineering is an agile and innovative small business providing technical expertise to the U.S. Intelligence community. When you look closer though, you’ll find something truly special. We’re a close knit team who takes pride in the work we do for our country and are building this company together to be part of something bigger and better than ourselves. This inclusive culture thrives at Mesavita, where you’ll find humble leaders, compassionate peers, and a relaxed atmosphere that encourages everyone to be their best while having a lot of fun along the way.
About the Role
Provide customer support for HPC software to enable High Performance Computers to continue to run in operations, and support the range of UNIX, LINUX, Windows Systems, desktop applications, servers, and networks required in support of the mission.
Skills and Qualifications
- Must have TS/SCI with FS poly
- Structured troubleshooting skills
- System installation
- Working with HPC GOTS scheduler and resource management software
- Configuration Management tools.
- Linux Shell scripting
- Object Oriented Programming Language (C, C++, Java)
- Python Programming
- GCC compiler
- Multi-threaded software
- Parallel processing
- CORBA, J2EE
- Perl or JavaScript
- Working knowledge of
Benefits and Compensation Package
In addition to a competitive salary, Mesavita offers a comprehensive benefits package, which includes:
12% 401(k) contribution (not a match), which you are vested in immediately
Free medical benefits through CareFirst for you and your family
Vision and Dental Insurance
STD, LTD, Life coverage 100% paid for by Mesavita
$5,000 Education, Training, and Technology budget
5 days Paid Parental Leave
Lucrative Referral Bonus Program
For a full list of benefits, please visit will be commensurate with experience.
