4249 Machine Learning Engineer jobs in Bangalore
Artificial Intelligence/Machine Learning Engineer
Posted today
Job Viewed
Job Description
Position :
AI/ML Engineer.
Location :
Bangalore.
Industry :
IT Software.
Experience Required :
3-5 Years.
WFO 5 Days
- The focus is on advanced machine learning, with significant depth in deep learning, large language models, and recommender systems.
- Youll be involved in validation, defect management, and the overall software development life cycle.
- The role requires extensive hands-on experience with Ubuntu/Yocto Linux, as well as popular open-source ML frameworks like PyTorch, TensorFlow, and ONNX Runtime.
- Exposure to profiling ML workloads, end-to-end AI/ML compute stack validation (including HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime, TensorFlow/PyTorch integration), and end-to-end AI pipeline assessment from model conversion to inference and kernel execution.
- Proficiency in Python programming, strong problem-solving skills, and a mindset open to innovative approaches are vital.
- Youll work using global production software quality assurance methodologies, taking strong ownership of deliverables, and collaborating with teams globally.
)
Machine Learning Engineer
Posted today
Job Viewed
Job Description
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 - 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.
**What you'll do**
We are looking for a developer passionate about converting novel ideas based on Machine Learning and other statistical methods, into enterprise-scale, production-ready software.
You will -
+ Design, implement, and optimize statistically robust, efficient, and scalable algorithms.
+ Adapt the algorithms to meet system and customer requirements.
+ Develop test strategies and methodologies to evaluate new or competing algorithms.
+ Rationalize and document the process behind algorithm design, including goals, trade-offs made with space and time complexity, decision criteria, and reasoning behind implementation choices.
+ Stay up-to-date on latest research and algorithm development methodologies.
+ Collaborate with other ML Engineers, Data Scientists, Software Engineers and Product owners.
The development will be based on a combination of two or more of the following technologies:
+ SAP HANA Predictive Analytics Library.
+ SQL.
+ Python.
+ Java based microservices.
+ SAP Joule and GenAI
+ Databricks, Delta Lake
**What you bring**
+ Excellent Analytical skills, ability to formulate multiple solutions to a given problem
+ Clarity in communication, backed by fluency with both written and spoken in English.
+ Demonstrated excellence in programming in at least two of the following, viz. SQL, Python, Java.
+ Experience in handling large volume of data in productive environment
+ Some experience in microservices, highly scalable multi-tenant architecture would add to your advantage.
+ Knowledge of agile software development processes and experience with cloud development processes driven by regular code reviews, design reviews.
Since the tech stack is always evolving, we are looking for a person who thrives in a changing environment
**Meet your team**
At SAP CXS APM, we are dedicated to the research and development of a set of applications catering to the lifecycle management of multiple products and solutions. SAP Cloud ALM is an offering for cloud-centric customers. We embed product-functionalities and services that leverage insights from Data, using various Statistical techniques including Machine Learning. A large part of the data we deal with are of the form of Time series, as we have access to the data continually collected by our monitoring infrastructures, and also other types of data such as application telemetry and so on. This offers us with the opportunity to work on a wide variety of topics such as
+ Anomaly detection
+ Predictions of potential outages and other failures
+ Single and Multivariate forecasts
+ Scheduling recommendations
+ Intelligent correlations of alerts or events or messages
+ Alert root cause detection
+ Threshold-less alerting
+ Intelligent automation and so on.
You would be in the company of a group of creative and hard-working Engineers, Data Scientists and Product thinkers.
**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's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - 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:
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.
**AI Usage in the Recruitment Process**
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 ( .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
``html
About the Company:
UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would.
About the Role:
We're looking for a highly skilled and hands-on ML End-to-End Engineer. You'll need deep practical experience across the entire machine learning lifecycle, from data ingestion and model development to robust backend integration and scalable production deployment. We want someone who not only understands the theory but can demonstrate significant real-world application and problem-solving at every stage of ML product development.
Responsibilities:
- ML Model Development & Optimization:
- Algorithm Proficiency: Proven experience designing, training, and optimizing diverse ML models, including strong expertise in supervised learning, and significant practical experience with unsupervised learning (e.g., clustering, dimensionality reduction, anomaly detection) and reinforcement learning algorithms (e.g., Q-learning, policy gradients). You should be able to discuss specific challenges encountered during model development across these paradigms and how you resolved them.
- Frameworks: Hands-on expertise with PyTorch, TensorFlow, and scikit-learn.
- Libraries: Strong proficiency with NumPy, Pandas, SciPy, Seaborn, and Plotly for data manipulation, analysis, and visualization.
- Feature Engineering: Demonstrable experience in effective feature engineering, selection, and transformation techniques.
- Data Engineering & Management for ML:
- Data Pipelining: Proven experience building and managing robust data pipelines for ML, including data ingestion, cleaning, transformation, and validation.
- Database Proficiency: Strong command of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) for storing and retrieving data relevant to ML models.
- Real-time Data Streams: Expertise with Apache Kafka for building and managing real-time data ingestion and processing pipelines.
- Backend Development for ML Applications:
- API Development: Demonstrable experience designing, building, and maintaining RESTful APIs for serving ML model predictions.
- Programming Language & Frameworks: Strong proficiency in Python with practical experience using either Flask or FastAPI for backend service development.
- System Design: Ability to design scalable, fault-tolerant, and high-performance backend systems to support ML inference.
- MLOps & Production Deployment:
- Containerization: Expertise in containerization technologies (e.g., Docker) for packaging ML models and their dependencies.
- Orchestration: Experience with container orchestration tools (e.g., Kubernetes) for deploying and managing ML services at scale.
- CI/CD for ML: Proven ability to set up and manage CI/CD pipelines specifically for ML model training, testing, and deployment (e.g., Jenkins, GitLab CI, GitHub Actions).
- Monitoring & Logging: Experience in implementing robust monitoring, alerting, and logging solutions for production ML systems to ensure performance, reliability, and data drift detection
- Model Performance & Reliability:
- Performance Tuning: Proven ability to identify and resolve performance bottlenecks in ML models and backend services. This includes experience with fine-tuning models and applying techniques to extract maximum performance from them, such as quantization, pruning, or model compression.
- Model Versioning & Experiment Tracking: Experience with tools and practices for model versioning, experiment tracking (e.g., MLflow, DVC), and reproducibility.
- General Engineering & Problem Solving:
- Competitive Coding / Algorithmic Problem Solving: Demonstrated proficiency in competitive coding platforms (e.g., LeetCode, HackerRank, TopCoder, Codeforces) or a strong, demonstrable foundation in algorithms and data structures, showcasing exceptional problem-solving abilities.
- Security Best Practices for ML Systems: Understanding and implementation of security best practices for ML models, data, and APIs.
Qualifications:
- 5+ years of experience as ML Engineer in high-growth SaaS or product startups
- Strong problem-solving and engineering mindset, with a keen eye for scalability, reliability, and efficiency.
- Excellent communication skills for conveying complex technical information to both technical and non-technical stakeholders.
- Adaptable and enthusiastic about working in a fast-paced, product-driven environment.
- Proactive in learning new ML technologies, backend frameworks, and deployment methodologies
- Comfortable working in a fast-paced, ambiguous startup environment
Why to join UptimeAI:
- Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients.
- Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth.
- Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions.
Pay range and compensation package:
(Pay range or salary or compensation)
Equal Opportunity Statement:
(Include a statement on commitment to diversity and inclusivity.)
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
What you will enjoy doing
• You will develop, train, test and deploy machine learning models in various fields such as
computer vision, LLMs, tabular and time series data.
• Experimenting with novel deep learning based technologies such as self-supervised learning
and generative AI will also be part of your tasks
• You will support in setting up the MLOps infrastructure for existing and new AI products
• Additionally you will work directly with customer data and set up data pipelines to collect,
curate, transform and version data
You'll be working in the Artificial Intelligence team, Linde's AI global corporate division engaged with
real business challenges and opportunities in multiple countries. Focus of this role is to support the
AI team with extending existing and building new AI products for a vast amount of uses cases across
Linde’s business and value chain. You'll collaborate across different business and corporate functions
in international team composed of Project Managers, Data Scientists, Data and Software Engineers
in the AI team and others in the Linde's Global AI team.
As a Machine Learning Enginee, you will be working closely with our global AI team to create and
implement sustainable AI models, algorithms, and software solutions for our global industrial gases
and engineering services operations. You will participate in the collection, analysis, interpretation, and
output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer
vision.
What Makes You Great
• You have a Bachelor or Masters Degree in Data Science, Computational
Statistics/Mathematics, Computer Science or related field
• You know the basics of neural networks and have an initial practical experience with deep
learning frameworks like PyTorch and Tensorflow.
• You have experience in backend and API development with Python (FastAPI, Flask) or similar
• You demonstrate knowledge of and basic practical experience with Object Oriented
Programming, design patterns, algorithms and data structures, version control systems (e.g.
Git)
• Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus
• Fluent English
Why You Will Love Working With Us
At Linde, you will have the opportunity to think outside the box, work on innovative topics, and deliver
impactful solutions to our internal customers. You’ll be part of a team that values inclusivity, fosters
creativity, and welcomes diverse perspectives, making Linde an employer of choice.
We act responsibly towards our shareholders, business partners, employees, society, and the
environment. Linde is committed to technologies and products that combine customer value with
sustainable development.
What We Offer You
In addition to an attractive compensation package, we offer flexible working hours and various
benefits to support your professional and personal development. Our culture values work-life
balance, helping you to combine career ambitions with family commitments.
Have We Inspired You?
We look forward to receiving your application.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Machine Learning Engineer – Model Training & Optimization
About Unlox
Unlox is an AI-driven learning and career platform, trusted by universities and recognized by NASSCOM. We’re building scalable AI systems to power personalized learning and career readiness for the next generation.
We are hiring a Machine Learning Engineer (Training & Optimization) who will focus on curating datasets, training, fine-tuning, and optimizing models to deliver high-performing AI systems.
Responsibilities
Curate and preprocess domain-specific datasets.
Train and fine-tune transformer-based models with LoRA, QLoRA, quantization, distillation.
Run experiments and track results to improve efficiency and accuracy.
Build training pipelines and evaluation systems for continuous improvement.
Collaborate with AI researchers and backend teams to integrate outputs into applications.
Requirements
Wrok Experience: 1 - 4 years
Proficiency in Python, PyTorch, and ML frameworks (Hugging Face, DeepSpeed, Accelerate).
Experience in fine-tuning transformer models.
Familiarity with tokenizer training, dataset pipelines, and evaluation benchmarks.
Knowledge of parameter-efficient tuning techniques.
Bonus
RLHF exposure or contributions to open-source AI projects.
Salary- As per market standards with performance based bonuses
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
What you will enjoy doing
• You will develop, train, test and deploy machine learning models in various fields such as
computer vision, LLMs, tabular and time series data.
• Experimenting with novel deep learning based technologies such as self-supervised learning
and generative AI will also be part of your tasks
• You will support in setting up the MLOps infrastructure for existing and new AI products
• Additionally you will work directly with customer data and set up data pipelines to collect,
curate, transform and version data
You'll be working in the Artificial Intelligence team, AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across
business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers
in the AI team and others in the Global AI team.
As a Machine Learning Enginee, you will be working closely with our global AI team to create and
implement sustainable AI models, algorithms, and software solutions for our global industrial gases and engineering services operations. You will participate in the collection, analysis, interpretation, and output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer vision.
What Makes You Great
• You have a Bachelor or Masters Degree in Data Science, Computational
Statistics/Mathematics, Computer Science or related field
• You know the basics of neural networks and have an initial practical experience with deep
learning frameworks like PyTorch and Tensorflow.
• You have experience in backend and API development with Python (FastAPI, Flask) or similar
• You demonstrate knowledge of and basic practical experience with Object Oriented
Programming, design patterns, algorithms and data structures, version control systems (e.g.
Git)
• Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus
• Fluent English
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Dear Candidate,
Hope you are doing well !
We have openings for Senior Machine Learning Engineer for 10 years at Mnc client Permanent opportunity at Bangalore location only, If you are interested kindly share the resume to
Total Experience:-
Relevant Experience in Machine Learning Architecture, Python,SQL:-
ctc:-
ectc:-
Notice period:-
willing to relocate to Bangalore and Work from Office only apply.
Be The First To Know
About the latest Machine learning engineer Jobs in Bangalore !
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Hiring: Machine Learning Engineers (ML 2 / ML 3) – Bangalore
Are you passionate about building customer-facing AI solutions that make a real impact?
Do you thrive in fast-paced, product-driven environments where ownership and accountability are valued?
We are looking for ML Engineers (Level 2/3) to join our growing AI/ML team in Bangalore. This is an exciting opportunity to work on Generative AI, personalization, and intelligent search systems that will directly shape the experience of millions of users.
Key Responsibilities
As a part of our ML team, you will:
- Design and implement scalable ML solutions that directly align with product and business goals.
- Develop, test, and optimize ML models for production environments with high availability and low latency.
- Build Generative AI features such as conversational interfaces, intelligent assistants, and personalized experiences.
- Partner with product managers, data scientists, and engineers to integrate ML into customer-facing applications .
- Monitor and evaluate model performance post-deployment; iterate to improve accuracy, latency, and UX.
- Drive best practices in experimentation, reproducibility, and deployment workflows .
- Participate actively in code reviews, design discussions, and technical deep dives .
- Work closely with stakeholders to translate business needs into ML-driven solutions .
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
TE-4 Years and above
Location- Bangalore/Chennai/Hyderabad
NP- 15-30 Days max
JOB DESCRIPTION
Join our fast‑growing team to build a unified platform for data analytics, machine learning, and generative AI. You’ll integrate the AI/ML toolkit, real‑time streaming into a backed feature store, and dashboards—turning raw events into reliable features, insights, and user‑facing analytics at scale.
What you’ll do
- Design and build streaming data pipelines (exactly‑once or effectively‑once) from event sources into low‑latency feature serving and NRT and OLAP queries.
- Develop an AI/ML toolkit: reusable libraries, SDKs, and CLIs for data ingestion, feature engineering, model training, evaluation, and deployment.
- Stand up and optimize a production feature store (schemas, SCD handling, point‑in‑time correctness, TTL/compaction, backfills).
- Expose features and analytics via well‑designed APIs/Services; integrate with model serving and retrieval for ML/GenAI use cases.
- Build and operationalize Superset dashboards for monitoring data quality, pipeline health, feature drift, model performance, and business KPIs.
- Implement governance and reliability: data contracts, schema evolution, lineage, observability, alerting, and cost controls.
- Partner with UI/UX, data science, and backend teams to ship end‑to‑end workflows from data capture to real‑time inference and decisioning.
- Drive performance: benchmark and tune distributed DB (partitions, indexes, compression, merge settings), streaming frameworks, and query patterns.
- Automate with CI/CD, infrastructure‑as‑code, and reproducible environments for quick, safe releases.
Tech you may use
Languages: Python, Java/Scala, SQL
Streaming/Compute: Kafka (or Pulsar), Spark, Flink, Beam
Storage/OLAP: ClickHouse (primary), object storage (S3/GCS), Parquet/Iceberg/Delta
Orchestration/Workflow: Airflow, dbt (for transformations), Makefiles/Poetry/pipenv
ML/MLOps: MLflow/Weights & Biases, KServe/Seldon, Feast/custom feature store patterns, vector stores (optional)
Dashboards/BI: Superset (plugins, theming), Grafana for ops
Platform: Kubernetes, Docker, Terraform, GitHub Actions/GitLab CI, Prometheus/OpenTelemetry
Cloud: AWS/GCP/Azure
What we’re looking for
- 4+ years building production data/ML or streaming systems with high TPS and large data volumes.
- Strong coding skills in Python and one of Java/Scala; solid SQL and data modeling.
- Hands‑on experience with Kafka (or similar), Spark/Flink, and OLAP stores—ideally ClickHouse.
- GenAI pipelines: retrieval‑augmented generation (RAG), embeddings, prompt/tooling workflows, model evaluation at scale.
- Proven experience designing feature pipelines with point‑in‑time correctness and backfills; understanding of online/offline consistency.
- Experience instrumenting Superset dashboards tied to ClickHouse for operational and product analytics.
- Fluency with CI/CD, containerization, Kubernetes, and infrastructure‑as‑code.
- Solid grasp of distributed systems and architecture fundamentals: partitioning, consistency, idempotency, retries, batching vs. streaming, and cost/perf trade‑offs.
- Excellent collaboration skills; ability to work cross‑functionally with DS/ML, product, and UI/UX.
- Ability to pass a CodeSignal prescreen coding test.
Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.
To learn more about Grid Dynamics, please visit . Follow us on Facebook , Twitter , and LinkedIn .
--
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Why Join 7-Eleven Global Solution Center?
When you join us, you'll embrace ownership as teams within specific product areas take responsibility for end-to-end solution delivery, supporting local teams and integrating new digital assets. Challenge yourself by contributing to products deployed across our extensive network of convenience stores, processing over a billion transactions annually. Build solutions for scale, addressing the diverse needs of our 84,000+ stores in 19 countries. Experience growth through cross-functional learning, encouraged and applauded at 7-Eleven GSC. With our size, stability, and resources, you can navigate a rewarding career. Embody leadership and service as 7-Eleven GSC remains dedicated to meeting the needs of customers and communities.
Why We Exist, Our Purpose and Our Transformation?
7-Eleven is dedicated to being a customer-centric, digitally empowered organization that seamlessly integrates our physical stores with digital offerings. Our goal is to redefine convenience by consistently providing top-notch customer experiences and solutions in a rapidly evolving consumer landscape. Anticipating customer preferences, we create and implement platforms that empower customers to shop, pay, and access products and services according to their preferences. To achieve success, we are driving a cultural shift anchored in leadership principles, supported by the realignment of organizational resources and processes.
At 7-Eleven we are guided by our Leadership Principles . Each principle has a defined set of behaviours which help guide the 7-Eleven GSC team to Serve Customers and Support Stores.
- Be Customer Obsessed
- Be Courageous with Your Point of View
- Challenge the Status Quo
- Act Like an Entrepreneur
- Have an “It Can Be Done” Attitude
- Do the Right Thing
- Be Accountable
About This Opportunity
We are seeking a highly skilled senior AI/ML engineer to design , implement and deploy AI/ML solutions that drive innovation and efficiency. The ideal candidate will have extensive experience in Langchain, NLP, RAG based systems , Prompt Engineering , Agentic Systems and cloud platforms(Azure,AWS) and be adept in building AI driven applications.
Responsibilities:
- Design and implement AI driven solutions using advanced frameworks and technologies, ensuring scalability and efficiency.
- Develop and optimize Langchain(agents, chains, memories, parsers, document loaders),Gen AI and NLP models for specific use cases.
- Quickly experiment different machine learning models for specific use case.
- Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.
Educational & Required Qualifications:
- Overall 4-6 years of experience in software development , particularly AI/ML-based projects
- Must have experience in Azure cloud and databricks setup.
- Proficiency in Python and machine learning frameworks like Tensorflow, Pytorch, scikit-learn.
- Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
- Strong expertise in Generative AI, NLP, and conversational AI technologies.
- Experience in building and deploying AI-powered applications at scale.
- Strong understanding of ML pipelines, feature engineering, and MLOps
- Experience in LLM + RAG and building agentic framework.
- Excellent written and verbal communications skills.
- Experience leading and mentoring team members to help grow to their full potential.
- Ability to understand business requirements and translate into technical requirements.
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Familiarity with code versioning tools - Git (Gitlab).
- Exposure to retail industry, experience with e-commerce applications.
7-Eleven Global Solution Center is an Equal Opportunity Employer committed to diversity in the workplace. Our strategy focuses on three core pillars – workplace culture, diverse talent and how we show up in the communities we serve. As the recognized leader in convenience, the 7-Eleven family of brands embraces diversity, equity and inclusion (DE+I). It’s not only the right thing to do for customers, Franchisees and employees—it’s a business imperative.