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Account Executive Ai India Imi jobs at Cisco in India, Bengaluru

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India
Bengaluru
26 jobs found
08.09.2025
C

Cisco Senior Data Scientist Snowflakes Tableau AI/ML Prescriptive ... India, Karnataka, Bengaluru

Limitless High-tech career opportunities - Expoint
Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and...
Description:

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

Key Responsibilities:

  • Design, develop, and implement advanced machine learning models to solve complex business problems.
  • Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities.
  • Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders.
  • Manage and optimize large datasets using Snowflake and Teradata databases.
  • Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
  • Stay updated with the latest advancements in data science, machine learning, and AI technologies.
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and development.
  • Communicate complex analytical concepts and results to non-technical stakeholders effectively.

Key Technologies & Skills:

  • Machine Learning Models: Supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc.
  • AI Techniques: Natural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc.
  • Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, etc.
  • Databases: Snowflake, Teradata, SQL, NoSQL databases.
  • Programming Languages: Python (essential), R, SQL.
  • Python Libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc.
  • Data Processing: ETL processes, data warehousing, data lakes.
  • Cloud Platforms: AWS, Azure, Google Cloud Platform.

Minimum Qualifications:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Minimum of [X] years of experience as a Data Scientist or in a similar role.
  • Proven track record in developing and deploying machine learning models and AI solutions.
  • Strong expertise in data visualization tools, particularly Tableau.
  • Extensive experience with Snowflake and Teradata databases.
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Exceptional communication skills with the ability to convey complex information clearly.

Preferred Qualifications (Provide up to five (5) bullet points: these can include soft skills)

  • Excellent communication and collaboration skills to work effectively in cross-functional teams.
  • Ability to translate business requirements into technical solutions.
  • Strong problem-solving skills and the ability to work with complex datasets.
  • Experience in statistical analysis and machine learning techniques.
  • Understanding of business domains such as sales, financials, marketing, and telemetry.
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08.09.2025
C

Cisco AI Test Automation Engineer India, Karnataka, Bengaluru

Limitless High-tech career opportunities - Expoint
Ensure software releases meet high-quality standards through robust automated testing strategies. Streamline CI pipelines with effective quality gates to reduce release cycle times. Use of AI agents to automate code...
Description:

We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.

If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.

As a Test Automation Engineer at Cisco, your contributions will:

  • Ensure software releases meet high-quality standards through robust automated testing strategies.
  • Streamline CI pipelines with effective quality gates to reduce release cycle times.
  • Use of AI agents to automate code review and code coverage tasks.
  • Facilitate seamless live upgrades and rollbacks by thoroughly testing these scenarios.
  • Align testing efforts with product goals, enabling faster time-to-market for features.
  • Improve the overall user experience by ensuring the reliability of UI and system integrations.
Key Responsibilities:
  • Design and maintain Testing CI pipelines to ensure efficient and reliable software releases, leveraging tools like GitHub Actions.
  • Utilize Git and GitHub to manage test automation code and collaborate effectively with development teams.
  • Define and enforce quality criteria for pipeline gates to ensure only high-quality code is promoted to production.
  • Manage the ownership, testing, and lifecycle of feature flags to enable controlled feature rollouts and reduce risks.
  • Develop and execute system-level and integration tests to validate end-to-end functionality and interoperability.
  • Design test strategies to ensure seamless live upgrades and rollbacks with minimal customer impact.
  • Implement and maintain automated UI testing frameworks to ensure a smooth and consistent user experience.
  • Act as a bridge between product and engineering teams to align testing efforts with product goals and priorities.
  • Bachelor’s degree+ and relevant 10+ years of Engineering work experience.
Minimum Qualifications:
  • Proficiency with Python and other scripting languages.
  • Experience with CI tools and pipeline design for release automation (e.g., GitHub Actions, Jenkins, or similar tools).
  • Proficiency with Git and GitHub for version control and collaboration.
  • Strong understanding of quality criteria and pipeline gates for ensuring high-quality software releases.
  • Proven expertise in testing strategies for feature flags, including ownership of feature flag lifecycle management.
  • Hands-on experience with system and integration testing for complex, distributed systems.
  • Knowledge of live upgrade and rollback testing methodologies.
  • Familiarity with UI testing frameworks and tools (e.g., Selenium, Cypress, Playwright, or similar).
  • Strong communication and collaboration skills for working with both product and engineering teams.
  • Use of AI agents to automate code review and code coverage tasks
Preferred Qualifications:
  • Experience in designing and implementing automated testing strategies in SaaS or cloud-based environments.
  • Ability to balance fast-paced development cycles with thorough testing and quality assurance practices.
  • Passion for staying up to date with advancements in test automation tools and practices.
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These jobs might be a good fit

08.09.2025
C

Cisco AI Infrastructure Engineer India, Karnataka, Bengaluru

Limitless High-tech career opportunities - Expoint
We thrive in a fast paced, experimentation rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side by side with seasoned engineers, architects, and thinkers...
Description:

We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.

If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.

- The performance and efficiency of AI workloads on the node.

- Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries.

Key Responsibilities

- Design and develop node-level infrastructure components to support high-performance AI workloads.

- Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs.

- Minimize downtime through seamless config and upgrade architecture for software components.

- Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators.

- Work with distributed system fundamentals to ensure scalability, resilience, and reliability.

Minimum Qualifications:

- Proficiency in programming languages such as C/C++, Golang, Python, or eBPF.

- Strong understanding of Linux operating systems, including user space and kernel-level components.

- Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes.

- Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs).

- Strong debugging and problem-solving skills for complex system-level issues.

- Bachelor’s degree+ and relevant 8-12 years of Engineering work experience.

Preferred Qualifications:

- Linux kernel and device driver hands-on expertise is a plus.

- Experience in GPU programming and optimization, including CUDA, UCX is a plus.

- Experience with high-speed data transfer technologies such as RDMA.

- Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI.

- Nvidia MIG and MPS concepts for managing GPU consumption.

Show more

These jobs might be a good fit

08.09.2025
C

Cisco AI Infrastructure Engineer India, Karnataka, Bengaluru

Limitless High-tech career opportunities - Expoint
We thrive in a fast paced, experimentation rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side by side with seasoned engineers, architects, and thinkers...
Description:

We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.

If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.

- The performance and efficiency of AI workloads on the node.

- Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries.

Key Responsibilities

- Design and develop node-level infrastructure components to support high-performance AI workloads.

- Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs.

- Minimize downtime through seamless config and upgrade architecture for software components.

- Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators.

- Work with distributed system fundamentals to ensure scalability, resilience, and reliability.

Minimum Qualifications:

- Proficiency in programming languages such as C/C++, Golang, Python, or eBPF.

- Strong understanding of Linux operating systems, including user space and kernel-level components.

- Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes.

- Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs).

- Strong debugging and problem-solving skills for complex system-level issues.

- Bachelor’s degree+ and relevant 11+ years of Engineering work experience.

Preferred Qualifications:

- Linux kernel and device driver hands-on expertise is a plus.

- Experience in GPU programming and optimization, including CUDA, UCX is a plus.

- Experience with high-speed data transfer technologies such as RDMA.

- Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI.

- Nvidia MIG and MPS concepts for managing GPU consumption.

Show more

These jobs might be a good fit

07.09.2025
C

Cisco Account Executive India, Karnataka, Bengaluru

Limitless High-tech career opportunities - Expoint
You Build Influential Relationships: Working with customers, channel partners, and account team members to meet business goals and objectives; using appropriate communication methods to influence others and establish relationships. You...
Description:
Your Impact

Subject matter expert on Technology & cross-Architecture solutions/Services. Understand customers’ technology landscape (Applications/Infra/Architecture) well & are able to play an advisory role to account teams & customers.

  • You Build Influential Relationships: Working with customers, channel partners, and account team members to meet business goals and objectives; using appropriate communication methods to influence others and establish relationships.
  • You have Customer Focus: Supporting customers during the sales process; seeking and taking appropriate actions on customer requirements while balancing business needs; resolving difficult issues in a timely and professional manner; taking responsibility for customer satisfaction and loyalty.
  • You negotiate: Effectively exploring interests and options to reach outcomes that gain the agreement and acceptance of all parties by using legitimate data, objective criteria to support ones proposal.
  • You are a Critical Thinker: Identifying and understanding issues, problems, and opportunities; comparing data from different sources to address sales challenges and new opportunities; taking courses of action based on sound analysis and judgment.

Minimum Qualifications-

  • Graduate, Bachelor's Degree
  • 12+ years of sales experience in IT products or services sales
Preferred Qualifications
  • Master's Degree
  • Understanding of Cisco Services & Technologies
  • Strong Customer Advocacy and Consulting mindset.
Show more

These jobs might be a good fit

28.07.2025
C

Cisco AI Infrastructure Engineer India, Karnataka, Bengaluru

Limitless High-tech career opportunities - Expoint
We thrive in a fast paced, experimentation rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side by side with seasoned engineers, architects, and thinkers...
Description:

We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.

If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.

- The performance and efficiency of AI workloads on the node.

- Advancements in AI and machine learning infrastructure, enabling better utilization and improving efficiency for applications across industries.

Key Responsibilities

- Design and develop node-level infrastructure components to support high-performance AI workloads.

- Benchmark, analyze, and optimize the performance of AI infrastructure, including CUDA kernels and memory management for GPUs.

- Minimize downtime through seamless config and upgrade architecture for software components.

- Manage the installation and deployment of AI infrastructure on Kubernetes clusters, including the use of CRDs and operators.

- Work with distributed system fundamentals to ensure scalability, resilience, and reliability.

Minimum Qualifications:

- Proficiency in programming languages such as Rust, C/C++, Golang, Python, or eBPF.

- Strong understanding of Linux operating systems, including user space and kernel-level components.

- Experience with Linux user space development, including packaging, logging, telemetry and lifecycle management of processes.

- Strong understanding of Kubernetes (K8s) and related technologies, such as custom resource definitions (CRDs).

- Strong debugging and problem-solving skills for complex system-level issues.

- Bachelor’s degree+ and relevant 5+ years of Engineering work experience.

Preferred Qualifications:

- Linux kernel and device driver hands-on expertise is a plus.

- Experience in GPU programming and optimization, including CUDA, UCX is a plus.

- Experience with high-speed data transfer technologies such as RDMA.

- Use of Nvidia GPU operators and Nvidia container toolkit and Nsight, CUPTI.

- Nvidia MIG and MPS concepts for managing GPU consumption.

Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and...
Description:

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

Key Responsibilities:

  • Design, develop, and implement advanced machine learning models to solve complex business problems.
  • Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities.
  • Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders.
  • Manage and optimize large datasets using Snowflake and Teradata databases.
  • Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
  • Stay updated with the latest advancements in data science, machine learning, and AI technologies.
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and development.
  • Communicate complex analytical concepts and results to non-technical stakeholders effectively.

Key Technologies & Skills:

  • Machine Learning Models: Supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc.
  • AI Techniques: Natural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc.
  • Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, etc.
  • Databases: Snowflake, Teradata, SQL, NoSQL databases.
  • Programming Languages: Python (essential), R, SQL.
  • Python Libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc.
  • Data Processing: ETL processes, data warehousing, data lakes.
  • Cloud Platforms: AWS, Azure, Google Cloud Platform.

Minimum Qualifications:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
  • Minimum of [X] years of experience as a Data Scientist or in a similar role.
  • Proven track record in developing and deploying machine learning models and AI solutions.
  • Strong expertise in data visualization tools, particularly Tableau.
  • Extensive experience with Snowflake and Teradata databases.
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Exceptional communication skills with the ability to convey complex information clearly.

Preferred Qualifications (Provide up to five (5) bullet points: these can include soft skills)

  • Excellent communication and collaboration skills to work effectively in cross-functional teams.
  • Ability to translate business requirements into technical solutions.
  • Strong problem-solving skills and the ability to work with complex datasets.
  • Experience in statistical analysis and machine learning techniques.
  • Understanding of business domains such as sales, financials, marketing, and telemetry.
Show more
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