software engineer   machine learning

Software Engineer, Machine Learning

<div>
 Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
 
 
 Software Engineer, Machine Learning Responsibilities:
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
 </li>
 <li>
 Implement custom user interfaces using latest programming techniques and technologies
 </li>
 <li>
 Develop reusable software components for interfacing with back-end platforms
 </li>
 <li>
 Analyze and optimize code for quality, efficiency, and performance
 </li>
 <li>
 Lead complex technical or product efforts and provide technical guidance to peers
 </li>
 <li>
 Architect efficient and scalable systems that drive complex applications
 </li>
 <li>
 Identify and resolve performance and scalability issues
 </li>
 <li>
 Work on a variety of coding languages and technologies
 </li>
 <li>
 Establish ownership of components, features, or systems with expert end-to-end understanding
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Experience building maintainable and testable code bases, including API design and unit testing techniques
 </li>
 <li>
 Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
 </li>
 <li>
 Experience with developing machine learning models at scale from inception to business impact
 </li>
 <li>
 Exposure to architectural patterns of large scale software applications
 </li>
 <li>
 Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
 </li>
 <li>
 Proven experience to translate insights into business recommendations
 </li>
 <li>
 Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
 </li>
 <li>
 Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $121,992/year to $181,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

<div>
 Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
 
 
 Software Engineer, Machine Learning Responsibilities:
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
 </li>
 <li>
 Implement custom user interfaces using latest programming techniques and technologies
 </li>
 <li>
 Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
 </li>
 <li>
 Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
 </li>
 <li>
 Architect efficient and scalable systems that drive complex applications
 </li>
 <li>
 Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
 </li>
 <li>
 Work on a variety of coding languages and technologies
 </li>
 <li>
 Establish ownership of components, features, or systems with expert end-to-end understanding
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Demonstrated experience driving change within an organization and leading complex technical projects
 </li>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
 </li>
 <li>
 Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Masters degree or PhD in Computer Science or a related technical field
 </li>
 <li>
 Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Understanding of information retrieval concepts, such as indexing, querying, and ranking
 </li>
 <li>
 Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
 </li>
 <li>
 Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $183,997/year to $257,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Microsoft

<div>
 
 Overview
 
 
 
 As a Member of Technical Staff - Software Engineer &amp; Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from &ldquo;What happened?&rdquo; to &ldquo;Why did it happen?&rdquo; in minutes. You&rsquo;ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations. n developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We&rsquo;re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
 </li>
 <li>
 Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
 </li>
 <li>
 Develop secure, compliant workflows for handling production logs and conversation data.
 </li>
 <li>
 Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
 </li>
 <li>
 Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
 </li>
 <li>
 Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
 </li>
 <li>
 Prototype and productionize ML models for anomaly detection and predictive insights.
 </li>
 <li>
 Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
 </li>
 <li>
 Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
 </li>
 <li>
 Independently write efficient, readable, extensible code and model pipelines.
 </li>
 <li>
 Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
 </li>
 <li>
 Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 </ul>
 <li>
 Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
 </li>
 <li>
 Demonstrated interest in Responsible AI.
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 #mai-datainsights
 
 
 #mai-datainsights
 
 
 Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
 
 
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 
 
 https://careers.microsoft.com/us/en/us-corporate-pay
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Machine Learning Software Engineer

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div><div></div> 
What you&rsquo;ll build
In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.
Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM-based workflows, including prompt design, retrieval-augmented generation, vector search, guardrails, and response quality evaluation. You&rsquo;ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost-aware, secure, and ready for enterprise scale. 
What you bring:<ul><li>
You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs</li><li>
You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems</li><li>
You have hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference</li><li>
You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics</li><li>
You have experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines</li><li>
You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation, and how to apply them in practical use cases</li><li>
You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores</li><li>
You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact</li></ul> 
About You<ul><li>
You have 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production</li><li>
You are passionate about building reliable, scalable ML systems and take ownership of delivering end-to-end solutions</li><li>
You balance experimentation with engineering rigor, making thoughtful trade-offs to ensure models are both innovative and production-ready</li><li>
You are a collaborative problem-solver who thrives in ambiguous environments and is motivated by delivering measurable business impact</li></ul> 
Where you belong:
You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
About the team
We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting-edge technologies, and collaborating closely to deliver AI systems that are reliable, high-performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450276 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

Machine Learning Engineer

The Home Depot

<div>
 Req178618
 
 
 
 Position Purpose
 
 
 
 The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer II may be involved in configuration, security, resilience, performance tuning and production monitoring.
 
 
 We are dedicated to pushing the boundaries of technology to create solutions that make a difference to the company. Our team is looking for a talented AI/ML developer to join us developing cutting-edge machine learning models and applications for the Company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 60% Delivery and Execution &ndash; Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
 </li>
 <li>
 20% Learning &ndash; Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems
 </li>
 <li>
 20% Plans and Aligns &ndash; Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives
 </li>
 <li>
 Design and develop machine learning models and algorithms to address business challenges.
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position typically repots to Software Engineer Manager or Sr. Manager
 </li>
 <li>
 This position has 0 Direct Reports
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 No travel required.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be eighteen years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 1-3 years of relevant work experience
 </li>
 <li>
 Extensive experience in AI, machine learning.
 </li>
 <li>
 Strong understanding of AI use cases and their application in business contexts.
 </li>
 <li>
 Proven track record of developing AI use case from concept to launch.
 </li>
 <li>
 Strong programming skills in Golang, Python.
 </li>
 <li>
 Experience building and maintaining robust data pipelines, ETL/ELT workflows, and data ingestion processes.
 </li>
 <li>
 Solid understanding of machine learning algorithms and principles.
 </li>
 <li>
 Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
 </li>
 <li>
 Experience with data preprocessing, data ingestion and model evaluation.
 </li>
 <li>
 Strong problem-solving skills and ability to work independently and as part of a team.
 </li>
 <li>
 Experience in writing SQL queries against a relational database
 </li>
 <li>
 Experience in version control systems and collaborative development tools.
 </li>
 <li>
 Experience with cloud platforms (Azure, GCP)
 </li>
 <li>
 Experience in source code version control (e.g. Git)
 </li>
 <li>
 Experience in Relational or NoSQL database technology
 </li>
 <li>
 Experience in cloud computing techniques
 </li>
 <li>
 Experience in CI/CD tools
 </li>
 <li>
 Experience in microservice-based architecture
 </li>
 <li>
 Experience with modern debugging and root cause analysis techniques
 </li>
 <li>
 Exposure to security frameworks for user and services authorization and authentication
 </li>
 <li>
 Exposure to creating and executing unit, functional, destructive and performance tests
 </li>
 <li>
 Excellent communication skills to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience in REST and effective web service design
 </li>
 <li>
 Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a bachelor&rsquo;s degree program or equivalent degree in a field of study related to the job.
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 2-3+ years
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Global Perspective
 </li>
 <li>
 Manages Ambiguity
 </li>
 <li>
 Nimble Learning
 </li>
 <li>
 Self-Development
 </li>
 <li>
 Collaborates
 </li>
 <li>
 Cultivates Innovation
 </li>
 <li>
 Situational Adaptability
 </li>
 <li>
 Communicates Effectively
 </li>
 <li>
 Drives Results
 </li>
 <li>
 Interpersonal Savvy
 </li>
 </ul>
</div>

AI/ML Developer II (Remote)

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AI/ML Developer II (Remote)