R&D Product Development Engineer - Bengaluru

Commerical  Solution Engineer

Account Executive- Cybersecurity

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Partner Solutions Engineer - IOT

 IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Senior AI Engineer

Role Description:&nbsp;<ul><li>Design &amp; Development of automotive connector system.</li></ul> Responsibilities: <ul><li>Responsible for mechanical design of Connectors based on customer requirement for TS.</li><li>Responsible to carry out detailed mechanical design work including 3D modelling, Proposal /detail drawings for costing / production, initiating simulation and prepare design verification / product validation plan per requirement.</li><li>Responsible for choosing standard parts, features, material as per internal guidelines which would meet the internal / customer target process and cost.</li><li>Responsible for preparing and presenting design reviews per manufacturability, update design per suggestion and keep record.</li><li>Responsible for carrying out design change requests in a timely manner / own the product responsibility&nbsp;</li></ul> Requirements: <ul><li>B.E/B. Tech in Mechanical Engineering (equivalent) / Diploma with Post graduation&nbsp;</li><li>Knowledge about various phases of product realization / product development.</li><li>Knowledge of state-of-the-art design tools such as Creo / CAD tools,</li><li>Basic knowledge in manufacturing process (Machining, Molding, Stamping, Plating, etc.,)</li><li>Following are added advantage - Geometric Dimension &amp; Tolerancing (GD&amp;T), GPS, Electrical &amp; Electronic Components design and Development.</li><li>1-4 years of experience in Concept Design and Development of products preferably in plastic and stamped parts.</li><li>Good knowledge in Creo software / CAD tools, PDM windchill / Similar,</li><li>Basic knowledge about Tolerance stack-up and GD&amp;T / GPS</li><li>Basic knowledge on Plastics &amp; Sheet Metal components will be added advantage.</li><li>Good Conceptual, problem solving and Analytical Skills.</li><li>Ability to communicate effectively and accurately across multi-cultural groups.</li><li>Excellent Communication and Presentation skills.</li></ul>

Role Description: <ul><li>We change the World; you will become passionate about your employer and the brand you represent. Everything is converging on the Internet, making networked connections more significant than ever before in our lives.</li><li>Our employees groundbreaking ideas impact everything.</li><li>Here, that means we take creative ideas from the drawing board to dynamic solutions that have real world impact.</li><li>Youll be part a team that cares about its customers, enjoys having fun, and youll take part in changing the lives of those in our local communities.</li><li>Come prepared to be encouraged and inspired.</li><li>The India Strategic Enterprise Segment is a truly vibrant sales organization that covers the diverse set of accounts in the Enterprise Space.</li><li>This position will be based out of Mumbai and will focus on a specific set of Enterprise accounts.</li><li>As part of the Enterprise System Engineering Team, you will be designing, architecting and empowering the strategy for the next generation of communications and application delivery for India’s leading businesses.</li><li>Youll collaborate as part of a disruptive Sales engineering team. We offer exhilarating, inspiring, global, high impact, and uniquely broad opportunities for your growth.</li></ul> Responsibilities <ul><li>Technical sales professional serving as a Technology/Product/Solution consultant.</li><li>Technical orchestrator for an array of resources, primary responsibility for ensuring successful completion of each pitstop from a technical perspective in the lifecycle selling motion.</li><li>Provides technical information and design/implementation mentorship in concert with Architecture Seller team(s).</li><li>Collaborates with the Account Manager on the customer account plan(s), jointly ensuring customer success.</li><li>Work with internal teams to orchestrate right solutions against customer requirements with competitive positioning</li><li>Educate customer on differentiation and establish technical leadership of our client as a brand.</li><li>Field role that serves as a Technology expert across solutions preferably within a multi-domain architecture approach.</li><li>Build relationship with Engineering Teams, field teams, architecture team, Business Units (BUs), Partners and customers.</li></ul> Requirements: <ul><li>Bachelor of Engineering degree or equivalent.</li><li>Excellent written, verbal communication, listening skills.</li><li>Min 10-12 years of presales experience in technical position .</li><li>Has prior experience in solution selling around products and technology.</li><li>Highly motivated, willing to learn and demonstrate high level of adaptability towards technology shift.</li><li>Understand the broader aspects of end to end architecture and have knowledge on one or more technology areas like Enterprise networks, Data center or Security.</li><li>Optimally handle objections in a customer conversation and lead with value selling.</li><li>Technical knowledge in the Networking Solutions/SDN Architecture/Network Security /Datacenter Networking technologies.</li><li>Strong whiteboarding/presentation skills.</li><li>Strong communication skills.</li></ul>

Responsibilities: <ul><li>Work closely with internal stakeholders like Channel team, Account team and Industry partners individually to build a successful pipeline to meet and exceed your individual sales quota</li><li>Identify new business opportunities whilst establishing, developing and maintaining relationships up to executive-levels within your assigned portfolio</li><li>Network within the client’s business and influence key decision makers, typically at C-level</li><li>Act as Clients ambassador within specific client accounts</li><li>Articulate and promote the company’s security&nbsp;value proposition and services to become a trusted advisor within your customer base</li><li>Identify new business opportunities and prepare detailed account development plans, engagement strategies and targets for each account within your assigned portfolio</li><li>Take control of opportunities and accurately forecast business objectives and outcomes. Follow MEDDPICC.</li></ul> Requirements: <ul><li>Min 10 years of experience selling cybersecurity solutions in Delhi/NCR region.</li><li>Proven successful track record in a similar role selling high technology products to Enterprise customers.</li><li>Ability to network multiple levels within an account up to C-Level.</li><li>Ability to create and deliver value propositions.</li><li>Proven sales track record.</li><li>Excellent verbal, written and presentation skills.</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: <ul><li>Involves working closely with industrial partners to evaluate their technical readiness, helping them align with client architectural plays and providing technical direction to develop new solutions and services offerings</li><li>Collaborate with partners to help them build IoT solutions aligned with our client strategy.</li><li>Provide strategic feedback on technology trends and develop business plans for partner enablement.</li><li>Lead partner training initiatives and assist in positioning our client solutions effectively.</li><li>Work cross-functionally with internal teams to adapt or create solutions addressing partner needs.</li><li>Create and deliver compelling solution demonstrations and prototypes</li><li>Provide feedback to product and engineering teams to improve IoT SDKs, APIs, and documentation.</li></ul> Requirements: Industry &amp; Partner Experience: <ul><li>Experience working with partner companies or Gold/Select resellers</li><li>Exposure to automation environments, particularly with Rockwell Automation, Honeywell, or other industrial control vendors</li><li>Familiarity with the integration of OT (Operational Technology) and IT networks</li></ul> Technical Expertise: <ul><li>Strong hands-on knowledge of networking technologies (routing, switching, wireless, security)</li><li>Understanding of security solutions (e.g., ASA/FTD Firewalls, ISE, Umbrella, Duo, etc.)</li><li>Knowledge of network design and architecture in industrial or enterprise environments</li><li>(Optional) Experience with cloud networking (Meraki, SD-WAN, Azure, AWS, etc.)</li></ul> Presales &amp; Commercial Skills: <ul><li>Experience in a presales or customer-facing technical role</li><li>Ability to design and architect solutions based on customer requirements</li><li>Skilled at creating technical proposals, BoMs, solution documentation, and presenting to clients</li><li>Strong communication skills to interface with both technical and business stakeholders</li><li>Familiarity with commercial engagement models (SOWs, pricing, licensing)</li><li>Certifications (Preferred but not mandatory)</li><li>Certifications: CCNP, CCIE (preferred), or other relevant certifications</li><li>Industrial certifications: Rockwell Certified Network Engineer (RCNE), Honeywell Network Specialist, etc.</li><li>Cloud certifications (AWS/Azure/Meraki) – optional</li></ul>

Responsibilities: <ul><li>Work closely with internal stakeholders like Channel team, Account team and Industry partners individually to build a successful pipeline to meet and exceed your individual sales quota</li><li>Identify new business opportunities whilst establishing, developing and maintaining relationships up to executive-levels within your assigned portfolio</li><li>Network within the client’s business and influence key decision makers, typically at C-level</li><li>Act as Clients ambassador within specific client accounts</li><li>Articulate and promote the company’s security&nbsp;&nbsp;value proposition and services to become a trusted advisor within your customer base</li><li>Identify new business opportunities and prepare detailed account development plans, engagement strategies and targets for each account within your assigned portfolio</li><li>Take control of opportunities and accurately forecast business objectives and outcomes. Follow MEDDPICC</li></ul> Minimum Qualifications – <ul><li>Min 10 years of experience selling cybersecurity solutions in Delhi/NCR region</li><li>Proven successful track record in a similar role selling high technology products to Enterprise customers</li><li>Ability to network multiple levels within an account up to C-Level</li><li>Ability to create and deliver value propositions</li><li>Proven sales track record</li><li>Excellent verbal, written and presentation skills</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the Global Demand Planning Cycle of the S&amp;OP process: Own and execute the monthly demand process from system handover to consensus sign-off. </li><li>Coordinate inputs from Sales, Product Management, and Finance, and ensure outputs feed into supply planning and S&amp;OP.</li></ul> Improve Forecast Accuracy:&nbsp; <ul><li>Drive measurable improvements in MAPE, Bias, and Forecast Adherence. Use data-driven techniques and root-cause analysis to understand gaps and implement corrective actions.</li></ul> Bridge Strategy and Execution:&nbsp; <ul><li>Translate commercial assumptions and market intelligence into an aligned, actionable forecast that drives capacity, procurement, and financial planning.</li></ul> Advance Tools and Reporting:&nbsp; <ul><li>Develop and maintain robust forecasting reports and KPIs using Excel, Power BI (or Tableau), and SAP IBP. </li><li>Push the team toward automated, visual, and insightful reporting.</li><li>Facilitate Consensus and Governance: Orchestrate monthly consensus meetings and prepare executive-ready materials that clearly communicate changes, assumptions, and risks.</li></ul> Support Constrained Planning:&nbsp; <ul><li>Collaborate with the Supply Planner to identify constraint-driven adjustments and simulate scenarios to evaluate trade-offs.</li><li>Enhance Collaboration and Accountability: Act as the single point of contact for demand planning across regions. Push for timely inputs, challenge assumptions, and ensure cross-functional accountability.</li></ul> Lead Process Improvements:&nbsp; <ul><li>Identify inefficiencies and design solutions—whether it’s template optimization, system enhancements, or training stakeholders on best practices.</li></ul> Support S&amp;OP Strategy:&nbsp; <ul><li>Contribute actively to the broader S&amp;OP cycle, including confidence-level strategies, forecast version control, and long-range planning exercises.</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain, Engineering, Business, or related field; Master’s preferred</li><li>Minimum 5 years of experience in demand planning or S&amp;OP in a multinational environment</li><li>Demonstrated ability to work independently and proactively influence cross-functional teams</li><li>High proficiency in Excel and Power BI (or Tableau); experience with SAP IBP is strongly preferred</li><li>Strong business acumen and communication skills; able to translate data into decisions</li><li>Fluent in English</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

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144 dynamics design Jobs found

R&D Product Development Engineer - Bengaluru

Commerical Solution Engineer

Account Executive- Cybersecurity

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Partner Solutions Engineer - IOT

Account Executive- Cybersecurity

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Senior AI Engineer

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144 dynamics design Jobs found

R&D Product Development Engineer - Bengaluru

Commerical Solution Engineer

Account Executive- Cybersecurity

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Partner Solutions Engineer - IOT

Account Executive- Cybersecurity

IIAD / SAD / LAD Artificial Intelligence Engineer

Central Demand Planner

Senior AI Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.