Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and be paid. 

Learn more at Visa.com.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

Visa

Savvy Admin PROD

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

**Job Description**

We're looking for an outstanding leader for our North America Analytics team. Your future team produces industry leading machine learning models and decision systems whose actions protect hundreds of millions of cardholders and accountholders from fraud and financial crime every day across the North America Region.

You'll lead an energetic group that thrive on achieving great customer outcomes every day. They are empowered to produce the best results for our customers and motivated by the opportunity to level up the fraud detection systems in the region.

As Featurespace continues to grow worldwide, this position will see you significantly grow the high-performing Analytics team during an exciting period of expansion in the region. Away from leading the team and managing customer delivery work, you'll guide new commercial opportunities towards signature and contribute valuable insight towards the next generation of our fraud and financial crime prevention products.

Our ideal candidate has built then deployed machine-learning models and complex data driven systems in fast moving environments, and well versed in the software engineering and ML Ops practices required to achieve this at scale.

Beyond the technology, we're looking for someone who is comfortable consulting directly with customers to shape their problems into defined solutions and can gracefully lead and manage a team of managers and individuals.

**Day to Day**

It can be hard to know exactly what you'll be doing day to day from a job description that why we're telling exactly what the team you'll lead does!

In a nutshell, we provide our customers with an analytics execution platform which responds in real-time to stop transaction and payment fraud in its tracks. The platform also has an important second function, it enables their fraud and risk operations teams to review high risk and suspicious activities identified by their analytics, orchestrate communication with their account and cardholders as well as reporting on the effectiveness of those analytics and operations.

There are three key tasks for this Analytics team:

System integration: No analytics execution platform is better than its data integration or customer specific configuration! Our Analytics team work closely with the customer during the system integration to ensure high-quality data is integrated and that the ARIC system is correctly configured to meet the fraud detection demands on the customer. Analytics and risk strategy consultancy. No analytics execution platform supplied by high-quality, clean data is better than the specific analytics that it runs! Our team work extremely closely with customer fraud and risk strategy teams to ensure that the analytics that our systems run produce industry-leading fraud detection outcomes. We do this by supporting and teaching our customers to use our system effectively but also lending our experience from across the industry and querying data sent to the platform to further optimise the analytics.  Data science: Featurespace's machine learning models are one of the most attractive propositions to our customers! The final piece in the triad of team activities is the configuration of machine learning models from the rich datasets our customers possess.

In this role, you will support your team through achieving outstanding results on behalf of our customers by:

- Managing the quality of output of the Analytics team, for North America

- Developing and coaching the team to have a culture of high performance, especially around quality of customer relationships, and constant and consistent experimentation to drive improvement

- Creating a regional team structure with good processes for all the major team functions where appropriate collaborating within the global Analytics function to establish these: recruitment, on-boarding, equipment requisition, learning and development, prioritization, knowledge sharing

- Providing the team a broader view of the business than just Analytics, understanding the perspective of customers and other departments and being able to influence external organizations

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

**Qualifications**

**Basic Qualifications**

- 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

**Preferred Qualifications**

- 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD

- Majority of your work is related to analytics/ business/ data science Subject matter expertise in the banking and payments industry.

- A track record in developing future leaders from within your organization.

- Experience managing geographically disperse or remote teams. Ph.D. or other postgraduate level qualification with good mathematical background and knowledge of statistics Leadership of a talented and high-performing Analytics or Data Science team.

- Passion for managing people and solving organizational challenges. Willingness to share expertise to help grow the people the people around you.

- Commitment to satisfying customer's requirements by producing class leading analytics.

- Experience leading the deployment of machine learning models into high throughput, real-time prediction contexts.

- Extensive commercial experience implementing statistical models and analytical algorithms in software.

- Ability to lead system architecture/design discussions from an analytical and business impact perspective.

- Strong, clear and concise written and verbal communication skills.

- Ability to manage and prioritize personal workload.

**Additional Information**

**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 this position is 186,200.00 to 315,200.00 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.~~

Director of Analytics, Featurespace, North America

Cisco (NASDAQ: CSCO) enables people to make powerful connections-whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible-providing easy access to information anywhere, at any time. 

Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 70,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. 

Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

Industry: Software Development
Company Size: 10,001+ employees

Cisco

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

Applications are accepted until further notice.

**Meet the Team**

Our dedicated team is building the future of Cisco’s AI-driven platforms and data infrastructure, driving innovation across the globe. You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms for business-critical initiatives. As part of this collaborative environment, you will contribute to the advancement of emerging technologies in data and intelligent systems. Explore the opportunities at the intersection of backend engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation.

**Your Impact**

As a passionate software engineer, you bring expertise in developing scalable backend systems, designing robust analytics platforms, and building infrastructure to support modern cloud and distributed computing initiatives. Your strong background in programming, distributed systems, and cloud platforms enables you to solve complex challenges with innovation and precision. By building and maintaining key software tools and backend infrastructure, you empower Cisco’s business groups to leverage AI and data-driven insights for operational excellence and strategic growth. Your contributions ensure high-quality, reliable platforms that support Cisco’s leadership in intelligent, scalable technology solutions.

**Minimum Qualifications**

- Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a relevant degree or certification program (e.g., Associate's, Apprenticeship, Boot Camp, specialized certification + 1 year relevant experience, High School Diploma + 2 years relevant experience), or Bachelor's degree + 0 years experience.

- Proficiency in at least one backend programming language: C/C++, Java, or Go.

- Experience designing and developing microservices and APIs.

- Strong understanding of Linux and fundamental networking concepts (TCP/IP, DNS, DHCP).

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

**Preferred Qualifications**

- Conceptual understanding of AI/ML.

- Experience with automation and software testing (e.g., pyTest).

- Familiarity with CI/CD pipelines.

- Knowledge of networking protocols such as BGP and VLANs.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

- Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

- Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

- Additional paid time away may be requested to deal with critical or emergency issues for family members

- Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows

- .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

- 1.5% of incentive target for each 1% of attainment between 50% and 75%;

- 1% of incentive target for each 1% of attainment between 75% and 100%; and

- Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

**New York City Metro Area**

$104,700.00 - $153,000.00

**Non-Metro New York State & Washington State**

$92,100.00 - $136,000.00

-  For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

-  Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Software Engineer Backend/Platform Systems I (Full Time) – United States

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services - now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

Amazon Web Services (AWS)

**Description**

Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities

As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of AWS users.

**About The Team**

In 2015, Annapurna Labs was acquired by Amazon Web Services (AWS). Since then, we have accelerated its innovation and developed a number of products that benefit cloud customers, including AWS Nitro technology, Inferentia custom Machine Learning chips, and AWS Graviton2 processors.

Annapurna Labs is a silicon/system and software organization that is delivering all the chips used by AWS customers. Today this includes: Graviton, driving innovation for general purpose compute; Nitro, driving networking and storage scale, security and Hypervisor offload, and Machine Learning (ML) Trainium and Inferentia that are enabling customers to train and run GenAI applications permanently while keeping costs under control.

**Basic Qualifications**

-  BS or MS degree in Mechanical/Thermal Engineering

-  10+ years industry experience in Mechanical and Thermal design of Systems

-  Experience in thermal and performance measurements and characterization on SoCs, Servers, and Systems

-  3+ years of experience SoC Thermal modelling and IC package transient thermal response

-  Experience with Chip package, System Mechanical & Thermal design for air-cooled and liquid-cooled systems

-  Collaborate effectively with teams spanning multiple sites and develop detailed specifications for product teams to use

-  Work with ODMs, heatsink vendors, and internal design teams on cross-boundary triaging, debugging, and resolving issues across organization

**Preferred Qualifications**

-  Knowledge of SoC thermal/mechanical design methodology, power modeling and thermal analysis techniques

-  Tool Familiarity: Ansys Icepak, FloTherm, Cadence Celsius, PTC Creo, and Solidworks

-  Programming experience: Bash script, Shell script, Linux, Python, and Lua. Familiarity with working in Linux environment is an added advantage

-  Working knowledge on fans, valves, chillers, and CDUs

-  Knowledge of various types of technologies used for Heatsink solutions, Thermal Interface Materials (TIMs) and liquid cooling technologies

-  Develop detailed CFD and compact RC models for SoC and Package thermal analysis

-  Knowledge of hardware and software based thermal / power management control algorithms

-  Optimize thermal solutions under PPA and system design constraints

-  Simulate and prototype thermal control strategies

-  Validate thermal models through power/thermal measurements on Hardware

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

USA, TX, Austin - 159,200.00 - 215,300.00 USD annually

USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually

**Company ** - Annapurna Labs (U.S.) Inc.

Job ID: A3191937

Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware

The application window is expected to close on: 04/30/2026

**Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received **.

**Meet The Team**

You will be joining a forward-thinking team of data scientists and product engineers dedicated to transforming complex, unstructured data into actionable insights. We operate at the intersection of advanced analytics and product innovation, working closely with service teams to solve real-world business challenges.

Our culture is defined by our commitment to Think Really Big, Play to Win, and Drive Durable Growth. We don’t just analyze data; we look for the next technological leap, compete with excellence in a fast-paced market, and build solutions that stand the test of time.

**Your Impact**

As a Data Scientist, you will play a critical role in designing and deploying machine learning frameworks that drive product and commercial success. You will own the end-to-end lifecycle of data projects—from identifying research questions and cleansing disparate data sources to deploying models into production. You will identify opportunities to apply advanced analytics to our most complex business problems, pushing the boundaries of what our data can reveal and proposing innovative, high-impact solutions. You will deliver high-quality, robust models that provide a competitive edge. Your focus on performance, accuracy, and technical excellence ensures that our products remain best-in-class. You will focus on the scalability and long-term sustainability of your models. By building reusable frameworks and monitoring systems, you ensure that our data infrastructure supports long-term business expansion and consistent value creation.

**Minimum Qualifications**

- Education & Experience: Bachelor’s degree + 7 years of related experience, Master’s degree + 4 years of related experience, or PhD + 1 year of related experience.

- Machine Learning Expertise: Proven ability to design and build machine learning frameworks, including proficiency with ML libraries and hyper-parameter tuning.

- Advanced Analytics: Demonstrated experience applying advanced analytics techniques to large, unstructured "big data" sets to identify correlations and patterns.

- Programming Proficiency: Strong coding skills (e.g., Python, R, SQL) for developing software programs, algorithms, and automated processes to integrate and evaluate data.

- Business Communication: Ability to interpret complex findings and communicate insights clearly to product, service, and business managers.

**Preferred Qualifications**

- Production Deployment: Experience overseeing the deployment of data science models into production and monitoring for long-term effectiveness.

- Specialized Techniques: Knowledge of NLP (Natural Language Processing) and NLU (Natural Language Understanding) development and testing.

- Research & Innovation: Experience contributing to patent applications, research publications, or innovative feature engineering.

- Project Leadership: Ability to lead moderately complex, end-to-end projects from technical design through completion.

- Visualization: Proficiency in designing and creating high-impact reporting and visualization tools (e.g., Tableau, PowerBI) that link data to measurable business outcomes.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $153,700.00 to $195,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

- Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

- Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

- Additional paid time away may be requested to deal with critical or emergency issues for family members

- Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows

- .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

- 1.5% of incentive target for each 1% of attainment between 50% and 75%;

- 1% of incentive target for each 1% of attainment between 75% and 100%; and

- Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

**New York City Metro Area**

$177,600.00 - $272,400.00

**Non-Metro New York State & Washington State**

$161,400.00 - $240,500.00

-  For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

-  Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Data Scientist

Lumen Solutions Inc., is a dynamic small and minority-owned, Disadvantaged Business Enterprise headquartered in Virginia, USA. As a leading consulting services and solutions provider, we focus on IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, Enterprise Transformation for our clients.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

Lumen Solutions Group Inc.

**Company Description**

**Lumen Solutions Group Inc. is a technology consulting Services Company based in Florida. We provide a wide array of experienced business and IT professionals supporting clients from solution design to implementation and support. We specialize in professional IT consulting services, IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, Enterprise Transformation.**

**Role - Artificial Intelligence / Machine Learning Engineer**

**Location - Austin, TX (Onsite 4 days)**

**Duration ****- ****Contract**

**Job Description **:

The Texas Department of Transportation (TxDOT) is seeking a motivated Artificial Intelligence / Machine Learning Engineer to join its Traffic Technology team. This role focuses on developing AI/ML proof-of-concepts and scalable solutions that enhance roadway safety and operational efficiency.

The ideal candidate will work closely with cross-functional teams to gather requirements, build intelligent systems, and deliver impactful AI-driven solutions.

**Key Responsibilities:**

- Develop AI/ML models and solutions from concept through deployment under guidance of senior engineers.

- Build and maintain ML pipelines for data processing, model training, and inference.

- Support development and deployment of production-ready ML models.

- Contribute to MLOps practices including model monitoring and lifecycle management.

- Create internal tools and scripts to improve team efficiency.

- Collaborate with Traffic Technology, IT AI teams, and research teams to deliver solutions.

- Work with command-line tools and development environments effectively.

**Required Qualifications**

- 1-2 years of hands-on experience with Python (projects, internships, or professional experience).

- Strong understanding of AI/ML fundamentals with practical implementation experience.

- Familiarity with at least one cloud platform (AWS, Azure, GCP, or OCI).

- Basic knowledge of Docker and CI/CD concepts.

- Experience with SQL and exposure to NoSQL or vector databases.

- Working knowledge of Bash or PowerShell scripting.

**ML Domain Experience (At least one required)**

- Natural Language Processing (NLP), LLMs, or prompt engineering.

- Time series forecasting or anomaly detection.

- Recommender systems or personalization models.

- Exposure to MLOps tools (e.g., MLflow, Airflow) is a plus.

**Preferred Qualifications**

- Experience with CI/CD tools such as GitHub Actions or Azure DevOps.

- Familiarity with PyTorch or TensorFlow.

- Basic knowledge of Computer Vision.

- Interest in real-time ML systems, streaming data, or edge deployment.

- Contributions to open-source projects, technical blogs, or strong academic projects.

~~Lumen Solutions Group Inc is an equal opportunity employer. All qualified applicants will be considered for employment without regard to any legally protected status. ~~

Artificial Intelligence / Machine Learning Engineer

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