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India
Bengaluru
16 jobs found
08.09.2025
C
Cisco Senior Data Scientist Snowflakes Tableau AI/ML Prescriptive ... India, Karnataka, Bengaluru
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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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07.09.2025
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Cisco Data Analytics Solution Architect India, Karnataka, Bengaluru
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Internal Teams -Business architects, manufacturing engineers, supply chain operations, database architects, and analytics developers. Stakeholders - Manufacturing leaders, process owners, IT, and data governance teams. External Partners -Technology vendors (digital...
Description:
You will be working with -
- Internal Teams -Business architects, manufacturing engineers, supply chain operations, database architects, and analytics developers.
- Stakeholders - Manufacturing leaders, process owners, IT, and data governance teams.
- External Partners -Technology vendors (digital twin and analytics platforms), solution integrators.
- Coordinate with business architects and stakeholders to gather requirements for data, reporting, analytics, and digital twin solutions.
- Analyze business needs and design conceptual models for end-to-end BI and digital twin implementations.
- Translate requirements into technical specifications for digital twin and analytics initiatives.
- Engineer data pipelines and models integrating sensor, MES, and IoT data from manufacturing operations.
- Develop and maintain data marts and presentation views for digital twin outputs and business intelligence.
- Leverage business intelligence and visualization tools (Power BI, Tableau) to deliver insights from digital twin simulations.
- Generate analytics and reports to support operational decision-making and performance monitoring.
- Define, develop, and monitor digital twin KPIs (e.g., model accuracy, anomaly detection, downtime reduction, yield improvement, simulation cycle time, decision support utilization, integration coverage, cost savings, alert response time, and user adoption).
- Conduct reviews of digital twin KPIs, identify trends, and drive continuous improvement.
- Implement industry standards for data architecture, modeling, and process documentation.
- Evaluate, troubleshoot, and improve digital twin models and BI assets.
- Lead the full development lifecycle, including change management and production migration.
- Support database architects and developers in building real-time and historical manufacturing analytics systems.
- Create and maintain technical specification documentation and end-user training materials.
- Capture, analyze, and document business and technical requirements for digital twin and BI solutions.
- Design and implement data integration, modeling, and presentation layers for manufacturing analytics.
- Develop actionable analytics and performance reports for semiconductor manufacturing.
- Define and track digital twin KPIs, driving operational improvement and value measurement.
- Ensure standard methodologies in data architecture, modeling, and process documentation.
- Lead solution lifecycle, including testing, deployment, and ongoing enhancement.
- Deliver training and support for analytics tools and digital twin platforms.
- 7-10 years of experience in data and business intelligence implementation, with 3-5 years focused on Supply Chain Operations, Digital Twin Implementation, or Manufacturing.
- Bachelor's degree or equivalent experience in Data Science, Computer Science, Engineering, or related field.
- Proficiency in data analysis languages (Python, R, SQL) and visualization platforms (Power BI, Tableau).
- Experience with digital twin tools and concepts in a manufacturing environment.
- Demonstrable understanding of semiconductor manufacturing process flows and equipment data.
- Experience with Siemens Digital Industries (Tecnomatix, MindSphere), PTC ThingWorx, Dassault Systèmes 3DEXPERIENCE, or Ansys Twin Builder.
- Experience developing and optimizing digital twin models in manufacturing.
- Good interpersonal skills and ability to work effectively in multi-functional teams.
- Demonstrated ability to translate business needs into technical solutions.
- Experience developing end-user training for analytics and digital twin platforms.
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07.07.2025
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Cisco Project Specialist India, Karnataka, Bengaluru
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3+ years of experience in Business Operations, with 2+ years of experience at Cisco preferred. Familiarity with Cisco Compliance and Procurement policies, as well as tools like Ariba/SmartBuy, Beeline, FinABC,...
Description:
Your Impact
In this role, you will deliver outstanding project management and operational support for the SEA organization. You will be responsible for driving activities that fuel the workflow of SEA’s Budget Operations activities, most notably purchase order and statement of work processing and cross-charge tracking.
Minimum Qualifications- 3+ years of experience in Business Operations, with 2+ years of experience at Cisco preferred.
- Familiarity with Cisco Compliance and Procurement policies, as well as tools like Ariba/SmartBuy, Beeline, FinABC, Asana, and Excel.
- Proven track record to ensure compliance, governance, and policy adherence with a high level of integrity and attention to detail.
- Strong project management experience, with a track record of independently handling tasks while contributing to team goals.
- Ability to manage and execute budget-related transactions, including processing cross-charges in FinABC, creating C-worker SOWs in Beeline, and generating purchase orders (POs) through Ariba/SmartBuy.
- Competence and confidence guiding teams through the PO submission process using Cisco’s SOW templates, resolving discrepancies, and navigating Procurement reviews and approvals.
- Ability to support financial operations by maintaining the centralized cost center/department list, assisting with quarterly forecasting, and contributing to fiscal year planning.
- Ability to develop and maintain dashboards, pivot tables, and charts to support organizational metrics and reporting needs.
- Dedication to ensuring compliance with Procurement and Finance policies by participating in training, communicating updates, and collaborating with Global Procurement on monthly reviews.
- Bachelor’s degree (BS/BA) in a relevant field.
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07.07.2025
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Cisco Software Engineer C/C++ L2/L3 Protocols Forwarding & Data Pl... India, Karnataka, Bengaluru
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MS/BS degree in CS/EE/CE or technical equivalent. 4+ years of relevant software development experience working with a Network Operating System. 3+ year’s embedded software development experience using C, C++ and/or...
Description:
Your Impact:
As an Engineer, you'll join a team engaged in the design, development and testing Layer2/Layer3 feature sets required for both Web scalars and Service providers. In this role you’ll have opportunity to design and develop multiple feature sets including:
Layer 2, Layer 3, Control plane handling, host of security features to protect the routers from DDOS attacks. Having system level knowledge on overall architecture of Forwarding and Infrastructure is an added advantage.
Minimum Qualifications:- MS/BS degree in CS/EE/CE or technical equivalent.
- 4+ years of relevant software development experience working with a Network Operating System.
- 3+ year’s embedded software development experience using C, C++ and/or Python.
- 3+ years’ data plane experience working with in NPU, DPU or software data plane.
- 3+ years’ experience in data-plane forwarding technologies such as L2, L3, VXLAN, segment Routing and/or MPLS.
- Experience in algorithms and data structures.
- Experience in analytical reasoning and debugging, with practical experience in using tools such as GDB, etc.
- Experience with networking protocols and technologies.
- Network Operating Systems in the Linux user space.
- Experience in Control plane, data-plane knowledge and Forwarding Infrastructure.
- Strong performance tuning skills.
- Microcode programming skills in P4 or other similar network programming languages
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28.06.2025
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Cisco Senior Data & Analytics Engineer 8+ years India, Karnataka, Bengaluru
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Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. 8+ years of experience in data analysis, data pipeline engineering, or a related role. Strong programming skills in...
Description:
Your Impact
Collaborate with cross-functional teams to understand metric requirements, identify new data sources and deliver actionable insights.
Ensure data architecture performance, data security and compliance with relevant regulations.
Stay up-to-date with industry trends and emerging technologies in data analytics and data engineering.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
- 8+ years of experience in data analysis, data pipeline engineering, or a related role.
- Strong programming skills in languages such as Python, R, or Java
- Proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, PostgreSQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Experience with agile software development and version control systems (e.g., Git).
Preferred Qualifications:
- Familiarity with big data technologies (e.g., Snowflake, Hadoop, Spark) is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively in a team environment.
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22.06.2025
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Cisco Data Analysis Manager India, Karnataka, Bengaluru
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Design and Develop Architecture: Create comprehensive data models , database designs , and ETL processes to meet evolving business requirements. Technical Leadership: Provide technical guidance to the data and analytics...
Description:
In this role, you will:
- Design and Develop Architecture: Create comprehensive data models , database designs , and ETL processes to meet evolving business requirements.
- Technical Leadership: Provide technical guidance to the data and analytics team, ensuring alignment with best practices and business goals.
- Collaborate Cross-Functionally: Work with business analysts , data scientists , and data analysts to understand data needs and deliver systemic solutions.
- Ensure Integration: Oversee the integration and interoperability of systems with Cisco's existing infrastructure and third-party applications.
- Optimize Systems: Identify and resolve performance bottlenecks , optimizing systems for speed , scalability , and reliability .
- Documentation and Standards: Create and maintain detailed documentation of system architecture, design decisions, and technical standards.
- Evaluate New Technologies: Research and recommend new tools, frameworks, and technologies to enhance system performance and security.
- Security Compliance: Ensure compliance with security standards , regulations, and best practices to safeguard sensitive data.
- Mentorship: Mentor junior architects and team members, fostering a culture of innovation and continuous learning .
You bring a strong foundation in
data and system architecturewith proven experience in managing complex projects.
- Education:
- Bachelor's or Master's degree in Computer Science , Information Technology , or a related field.
- Experience:
- 7+ years of experience in system architecture, design, and development, with expertise in the supply chain domain .
- Technical Skills:
- Proficiency in SQL , database management systems (e.g., Oracle, SQL Server, MySQL), data warehousing , ETL tools , and data modeling tools .
- Programming expertise in Python and R Shiny .
- Strong analytical and problem-solving skills with the ability to manage complex projects.
- Soft Skills:
- Excellent verbal and written communication skills , with the ability to articulate technical concepts to non-technical stakeholders.
Your additional skills and certifications make you a standout candidate.
- Big Data Expertise: Experience with big data technologies .
- Cloud Platforms: Familiarity with AWS , Azure , or other cloud platforms.
- Modern Architectures: Experience with microservices architecture , containerization, and orchestration tools.
- Enterprise Frameworks: Knowledge of enterprise architecture frameworks and methodologies.
- Certifications: Relevant certifications such as TOGAF , AWS Certified Solutions Architect , or Microsoft Certified: Azure Solutions Architect Expert .
- Architectural Design: Create scalable and reliable data and system architecture solutions to address complex business challenges.
- Cross-Team Collaboration: Work closely with stakeholders to align data architecture with business needs and deliver systemic solutions.
- Performance Optimization: Enhance system performance by identifying bottlenecks and implementing scalable solutions.
- Tech Evaluation: Stay ahead of the curve by evaluating and recommending emerging technologies to improve system performance and security.
- Compliance: Ensure all systems meet security standards and regulatory compliance requirements.
- Documentation and Knowledge Sharing: Maintain detailed architecture documentation and mentor junior team members.
You will collaborate with:
- Business Analysts: Align on data needs and translate business requirements into technical solutions.
- Data Scientists and Data Analysts: Work together to deliver data-driven insights and solutions.
- IT and Infrastructure Teams: Ensure seamless integration of new systems into Cisco's existing ecosystem.
- Cross-Functional Teams: Partner with diverse teams to address challenges and optimize processes.
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10.06.2025
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Cisco Data Science Specialist India, Karnataka, Bengaluru
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:Support sales and product adoption for data related use cases (occupancy, captive portal, behavioral metrics, BMS integrations etc)Qualifications:Advanced degree or equivalent experience in Engineering, Computer Science, Maths or a related...
Description:
Responsibilities:
Support sales and product adoption for data related use-cases (occupancy, captive portal, behavioral metrics, BMS integrations etc)
Qualifications:
Advanced degree or equivalent experience in Engineering, Computer Science, Maths or a related technical field
Proficiency in programming and scripting languages
Experience using relational database -
Basic proficiency with
Machine Learning methods and applications
Machine Learning methods and applications
Excellent communication.
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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
These jobs might be a good fit
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