AI IN Robotics Jobs in Bengaluru

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Manager, Go-To-Market Technology Support Operations Location: Bengaluru Department: Business Technology Experience: 7+ Years (3+ Years in Team Management) Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower everyone to securely use any technology, on any device, from anywhere. Our Okta and Auth0 platforms offer secure access, authentication, and automation placing identity at the center of digital transformation and enterprise growth. At Okta, we celebrate diverse backgrounds and experiences. We aren t looking for a perfect fit we re looking for lifelong learners and collaborative builders who bring unique value to our mission. The Team You ll join the Go-To-Market Technology (GTM) group, a core part of Okta s Technology, Data & Intelligence (TDI) organization. Our vision: drive clarity, collaboration, and accountability across the business while enabling Okta s scale and growth. The Opportunity We re seeking a Manager to lead the Support Operations team within GTM Technology. This role is responsible for managing a team of Business Application Administrators who oversee and support Okta s GTM systems primarily Salesforce and integrated applications such as ServiceNow. You ll drive operational excellence, oversee capacity and team development, collaborate cross-functionally, and shape how we support and optimize business applications across global teams. This role requires strong technical know-how of the Salesforce ecosystem, a mindset for process improvement, and a passion for team leadership. Key Responsibilities Leadership & Talent Development Build, motivate, and lead a high-performing team of application administrators. Hire, mentor, and retain top talent through coaching and career planning. Provide direction and remove roadblocks to help your team succeed. Foster a culture of learning, ownership, and continuous improvement. Performance Management Define and track KPIs and team SLAs with a data-driven approach. Manage team resource allocation and adjust capacity as business needs shift. Identify skill gaps and build plans to address them through training and hiring. Cross-Functional Collaboration Partner with Technology, Data & Intelligence, Security, and Compliance teams to align on goals and incident handling. Refine escalation processes for a smooth support experience across teams. Enable seamless knowledge transfer and system supportability. Documentation & Automation Lead the Knowledge Centered Service (KCS) program to scale AI-driven incident resolution. Standardize and document team operational processes to ensure consistency. Security & Compliance Ensure all Salesforce and GTM-related systems adhere to compliance standards such as SOX. Collaborate with security teams on audits and mitigation of any vulnerabilities. Innovation Culture Encourage your team to explore new Salesforce, AI, and automation features. Promote participation in hackathons, Fix-It Days, and other internal innovation initiatives. Required Skills & Experience 7+ years of experience in IT or Business Systems, with 3+ years in people management. Strong expertise in the Salesforce ecosystem and enterprise SaaS tools like ServiceNow, Jira, Confluence, GitHub, etc. Experience in a global or multi-location work environment. Deep understanding of compliance (e.g., SOX) and security standards for enterprise applications. Proven track record of driving team innovation and embedding modern tools or practices. Excellent interpersonal and executive-level communication skills. Strong organizational, time management, and stakeholder alignment capabilities. Ability to remain resilient under pressure and maintain focus on team and business outcomes. High Impact: Drive global support operations for a critical business tech stack. Empowered Leadership: Build and lead a team in a dynamic, growing organization. Growth & Learning: Opportunities for continuous development in technology, leadership, and innovation. Collaborative Culture: Join a purpose-driven company with a human-centered, inclusive team culture. Join Us Become a part of a company that s transforming how identity is secured and scaled in the modern world. At Okta, you belong.

Position: AI Solutions Architect Location: Bangalore, India Shift: 2 PM to 11 PM IST (supporting EMEA/US business hours) About Workato Workato is a global leader in enterprise orchestration, leveraging AI-powered automation to streamline complex workflows across data, processes, and applications. Recognized by Business Insider, Forbes, Deloitte, and Quartz, Workato fosters an innovative, flexible, and trust-driven culture, empowering employees to own their work and grow alongside a vibrant team. Join a fast-growing tech company celebrated for innovation and remote work culture. Collaborate in a diverse, inclusive environment focused on continuous improvement. Impact the future of AI-driven business automation on a global scale. Your Responsibilities Architect and develop advanced agent-based AI solutions exhibiting autonomous, adaptive, and proactive behaviors. Design techniques for large language models (LLMs) to author complex AI behaviors reliably. Provide technical expertise, advising clients and internal teams on AI workflows and integration. Tailor and deploy AI-powered IT workflows that are scalable, fault-tolerant, and aligned with enterprise best practices. Collaborate across teams to integrate AI automation into existing IT infrastructures. Deliver custom product demos and support sales and product teams. Contribute to internal knowledge bases and continuously improve processes. Support product ideation through to implementation stages, working closely with product managers. What You ll Need BTech/BE or higher in Computer Science, AI, ML, or related field. 12+ years of relevant experience in AI solution design, development, and deployment. Proven expertise in AI engineering focused on agent-based systems. Strong background in integration projects with hands-on experience in middleware, APIs (REST/SOAP), SOA, ESB, BPM, and databases (RDBMS/NoSQL). Coding experience (2-3 years) in Java, Python, or Ruby. Experience with integration platforms (TIBCO, Dell Boomi, MuleSoft) and cloud technologies (iPaaS, SaaS) is a plus. Familiarity with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, or Marketo is advantageous. Knowledge of microservices, event-driven architecture, process automation (BPM/RPA) is a plus. Personal Attributes Collaborative mindset and ability to thrive in a dynamic startup environment. Strong analytical and critical thinking skills with entrepreneurial initiative. Effective time management and prioritization, even under pressure. Excellent communication skills to convey complex ideas clearly to non-technical audiences. Proactive problem solver and fast learner who can conduct deep research independently. Qualification : BTech/BE or higher in Computer Science, AI, ML, or related field.

Position: Senior AI Solutions Engineer Location: Bangalore, India Shift: 2:00 PM 11:00 PM IST (EMEA/US support hours) About Workato Workato is the market leader in enterprise orchestration, enabling 400,000+ global customers to streamline operations by connecting data, apps, and processes. Powered by AI, its platform drives agility through intelligent automation. Recognized by Forbes, Deloitte, and Business Insider, Workato offers a dynamic and collaborative culture that blends innovation with work-life balance. Role Overview As a Senior AI Solutions Engineer, you'll play a key role in building and deploying intelligent, agent-based systems and Retrieval-Augmented Generation (RAG) solutions using Workato s Agentic AI platform. This is a highly technical, hands-on role that blends AI/ML expertise, integration design, customer engagement, and scalable solution delivery. Key Responsibilities AI Engineering & Solution Architecture Design and deploy multi-agent AI workflows that are autonomous, adaptive, and goal-directed. Develop robust RAG pipelines using LLMs and Workato connectors to generate grounded, real-time responses. Implement intelligent memory, prompting, and behavior management strategies for AI agents. Technical Leadership Act as the technical expert for AI-driven architectures using Workato s automation and orchestration platform. Architect scalable AI-powered workflows integrating Workday, NetSuite, Salesforce, ServiceNow, etc. Own performance monitoring, troubleshooting, and continuous optimization of AI systems. Customer Collaboration Work directly with customers to design and deliver tailored Agentic AI and RAG solutions. Communicate complex AI concepts clearly to business and technical stakeholders. Champion exceptional customer service and solution success. Cross-Functional Collaboration Support product managers with technical specifications and solution design. Contribute to internal knowledge bases, best practices, and thought leadership. Participate in product ideation, rapid prototyping, and iterative improvement. Required Qualifications Technical Skills BTech/BE in CS, AI/ML, or related field. 8+ years in solution architecture and development; 3+ years on Workato platform required. Solid foundation in AI agent systems, RAG, and large language models (LLMs). Strong experience with APIs (REST, SOAP), JSON, and relational or NoSQL databases. Programming experience: Java, Python, or Ruby (2 3 years). Hands-on integration experience with middleware, iPaaS, BPM, or RPA platforms. Familiarity with automation tools like Dell Boomi, MuleSoft, or TIBCO is a plus. Bonus Knowledge Familiarity with OAuth, SSO, MFA, and cloud platforms (AWS/GCP/Azure). Experience with enterprise SaaS apps (e.g., Salesforce, Workday, ServiceNow, NetSuite). Exposure to event-driven architecture and microservices. Soft Skills & Mindset Strong communication and storytelling skills. Critical thinker with an entrepreneurial mindset. Self-starter with the ability to work independently and across teams. Passionate about solving complex technical problems and delivering value.

Job Title: Robotics Solution Engineer Location: Bengaluru Key Focus Areas: The ideal candidate will have experience and expertise in 40-60% of the following domains: Task Development: Breaking down complex robotic tasks (e.g., pick, orient, place) and designing efficient workflows. Simulation and Validation: Using advanced physics-based simulation tools to model and validate robotic systems and interactions. System Integration: Seamless integration of hardware, software, and sensors tailored to customer environments. Customer-Centric Solutions: Customizing robotic solutions to fit specific customer requirements and constraints. Foundational R&D and ML Development: Supporting research and machine learning algorithm development to enhance robotic perception, autonomy, and decision-making. Roles and Responsibilities: Physics-Based Simulation Development: Develop comprehensive physics-based models for robots, environments, and their interactions. Create and validate dynamic models involving rigid body dynamics, contact physics, material properties, and compliance, especially for multi-arm robotic systems. Build and maintain digital twins of physical robots and real-world environments. Algorithm Development & Implementation: Design, implement, and validate control and motion planning algorithms for multi-arm robots, focusing on manipulation and grasping. Optimize kinematics, dynamics, and force-based control strategies for real-time robotic applications. Support learning-based algorithm implementation for real-time perception and manipulation, including simulation-based testing and validation. Machine Learning Applications: Apply machine learning techniques to robotic perception and decision-making. Implement learning-based algorithms for perception and manipulation tasks. Testing, Validation & Optimization: Develop protocols to validate simulation accuracy by bridging virtual and real-world performance. Create automated test sequences and metrics for robust validation across various scenarios. Analyze simulation results to enhance system performance, safety, and reliability, suggesting design improvements. Collaboration & Cross-Functional Support: Work closely with controls engineers to validate and tune control systems in simulation. Collaborate with algorithm, software, and hardware teams to refine systems and resolve issues. Provide insights from simulation analyses to guide product improvements. Documentation & Reporting: Document simulation approaches, assumptions, and validation outcomes clearly. Prepare detailed reports on system performance, testing results, and optimization opportunities. Skills and Experience: Core Expertise: Advanced physics-based modeling and numerical simulation techniques. Deep understanding of robot kinematics, dynamics, and control theory. Experience with simulation validation and verification methodologies. Sensor modeling for cameras, force/torque sensors, etc. Motion planning algorithm knowledge. Familiarity with machine learning frameworks (PyTorch, TensorFlow) and real-time control implementation. Software & Tools: Experience with physics simulation platforms like NVIDIA Isaac Sim/Omniverse, CoppeliaSim, Mujoco, PyBullet, PhysX, Gazebo, or equivalents. Proficient in Python and C++ for scripting and automation tasks. Comfortable integrating CAD software and managing version control with Git. Engineering & Analysis: Skills in system dynamics modeling and error analysis. Developing test plans and performing root cause analysis. Conducting feasibility studies and model validation. Required Qualifications: Bachelor s or Master s degree in Robotics, Mechanical Engineering, or related fields. Minimum 3 years of professional experience in robotics engineering, with a focus on simulation and modeling. Strong foundation in robot kinematics, dynamics, and control systems. Proficient in Python and C++ programming. Experience with physics engines (PhysX, Bullet, PyBullet) and validating simulation results with real-world data. Preferred Qualifications: Master s or PhD in Robotics, Computer Science, or a related discipline. Hands-on experience with NVIDIA Isaac Sim/Omniverse or similar simulation platforms. Background in computer graphics, sensor modeling, and digital twin technologies. Qualification : Bachelors or Masters degree in Robotics, Mechanical Engineering, or related fields.

Job Title: Solution Architect Robotics & Automation Location: Bengaluru Role and Responsibilities Engage closely with customers to understand their applications and translate requirements into detailed Solution Requirement Documents (SRD) for internal delivery. Conduct feasibility studies considering engineering constraints, system integration, ergonomics, unit economics, and process optimization. Design scalable, modular, and serviceable end-to-end automation solutions including factory layouts and workflow automation. Develop detailed solution architectures for automation systems (cells, lines), decomposing into hardware, software, and functional components. Analyze and optimize production processes using simulation tools, addressing bottlenecks to improve cycle times, throughput, and efficiency. Resolve robotic automation challenges such as part presentation, variability, path planning, precision, throughput, reliability, and safety compliance. Plan and manage project workflows, milestones, development, and testing cycles with a focus on process optimization and cycle time analysis. Create and implement test and validation frameworks for design, integration, performance, and safety based on simulation insights. Lead and collaborate with multidisciplinary teams (hardware, software, simulation) and communicate simulation outcomes effectively to customers. Provide ongoing technical guidance and support to customers throughout project lifecycles, tailoring solutions to operational needs. Oversee project planning, execution, and delivery ensuring alignment with customer expectations and production objectives. Skills and Experience Proven expertise in designing and delivering comprehensive robotic and automation solutions end-to-end. Skilled in creating scalable, modular, industry-agnostic system architectures enabling seamless production line integration. Experienced in leading multidisciplinary teams to successful solution delivery. Strong knowledge of warehousing, manufacturing, and assembly processes with an ability to customize solutions to diverse industries. Ability to troubleshoot complex technical issues and optimize performance using advanced simulation tools. Excellent communication skills, capable of explaining technical concepts and simulation results to both technical and non-technical stakeholders. Familiarity with PLCs, IPCs, sensors, IO devices, and communication protocols such as Modbus and Ethernet. Basic programming skills in Python, C++, or similar languages. Strong analytical and problem-solving aptitude with focus on production process optimization. Experience visualizing robotic work envelopes and motion constraints via simulation. Required Qualifications Bachelor s or Master s degree in Robotics, Mechatronics, Mechanical Engineering, Computer Science, or related field. Minimum 5 years experience in solution engineering or a similar role within industrial engineering. Proven customer-facing experience, preferably delivering solutions to large or Fortune 500 clients. Strong technical foundation in robotics, industrial machinery, and system-to-site integration. Demonstrated leadership in managing cross-functional teams and multiple projects. Excellent interpersonal and communication skills. Hands-on experience designing automation cells and systems. Additional Preferred Qualifications Master s degree in relevant discipline. 8-10 years of experience as a solution architect or similar senior role. Proficiency with factory simulation tools such as Siemens Plant Simulation, FlexSim, or equivalent. Credible project management experience. Familiarity with modern software development practices including Git and CI/CD pipelines. Qualification : Bachelors or Masters degree in Robotics, Mechatronics, Mechanical Engineering, Computer Science, or related field.

Job Title: Mechanical System Engineer - Robotics Location: Bengaluru Role and Responsibilities System Design & Integration: Analyze customer production lines to break down requirements and design mechanical systems integrating the CyRo platform. Ensure mechanical designs meet customer-specific constraints such as space, payload, and environmental conditions. Develop systems including CyRo, feeding mechanisms, sensors, fixtures, and other mechanical components for tailored automation solutions. Perform tolerance analysis to validate dimensional and functional requirements. Collaborate closely with electrical, software, and systems engineering teams to ensure seamless subsystem integration. Design mounting systems, fixtures, and interface components to facilitate integration into customer facilities when required. Mechanical Optimization: Optimize system designs by integrating mechanisms and sensors to enhance performance, modularity, and scalability. Select and design mechanisms for part presentation, feeding, reorientation, and manipulation considering space and performance constraints. Develop automation cells with modularity and scalability for current and future applications. Continuously refine workflows to improve cycle times, reduce errors, and increase operational efficiency. Modelling: Create and integrate detailed mechanical designs, including CAD layouts and fixtures, supporting customer automation solutions. Validate designs through tolerance analysis and develop calibration fixtures for robotic systems. Work cross-functionally to ensure mechanical designs integrate effectively with instrumentation, software, and controls. Documentation: Produce comprehensive documentation such as design specifications, validation reports, and scalability guidelines to ensure reproducibility. Develop detailed installation guides, maintenance manuals, and troubleshooting documentation for customer use. Skills and Experience Proficient in CAD software such as SolidWorks, CATIA, or AutoCAD. Strong grasp of mechanical engineering principles, materials science, and manufacturing processes. Experience in robotics, automation, or mechatronics is highly preferred. Familiarity with relevant industry standards and safety regulations (ISO, ANSI, OSHA). Excellent analytical, problem-solving, communication, and teamwork skills. Understanding of manufacturing processes, assembly lines, and automation cell design. Prior experience designing and integrating automation systems in production or process lines. Required Qualifications Bachelor s or Master s degree in Mechanical Engineering, Mechatronics, or related fields. Minimum 3 years of experience in mechanical design and automation systems integration. Strong knowledge of manufacturing processes and mechanical systems integration. Skilled in CAD and simulation tools. Additional Preferred Qualifications Experience with robotic automation systems and integration into manufacturing workflows. Familiarity with designing feeding mechanisms, part presentation systems, and end-of-arm tooling (EOAT) for robotics. Exposure to Autonomous Mobile Robots (AMRs) and other robotic mobility solutions. Understanding of sensors and actuators commonly used in automation (vision systems, force-torque sensors, linear actuators). Experience with plant simulation tools such as Siemens Plant Simulation or FlexSim. Qualification : Bachelors or Masters degree in Mechanical Engineering, Mechatronics, or related fields.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: Associate Architect AI Location: Bangalore, India Employment Type: Full-Time, Regular Overview At Aptean, we design industry-specific ERP and business software that helps our customers transform operations and gain a competitive edge. With over 90 products, 4,500+ employees, and a global presence, we deliver solutions that are anything but generic. Now, we re building on that legacy by integrating cutting-edge AI into everything we do and we want you to be part of it. We are looking for an Associate Architect AI to play a key role in shaping Aptean s AI-first future. This is a hands-on, high-impact role focused on the design, development, and deployment of AI-powered solutions including smart chatbots, Retrieval-Augmented Generation (RAG) pipelines, predictive analytics, and autonomous AI agents. If you're passionate about solving real-world problems using the latest in LLMs, AI orchestration, and data automation we want to talk. Key Responsibilities Design and implement AI-led automation solutions, leveraging technologies like agentic AI and LLMs. Develop and refine structured prompts to improve AI model responses and contextual accuracy. Integrate Azure OpenAI and Microsoft Fabric AI Skills to enhance conversational AI in Fabric Lakehouse environments. Build and optimize RAG pipelines and semantic models for improved AI-driven content ingestion and understanding. Design prompts for AI agents, chatbots, and virtual assistants that automate business workflows. Research and implement best practices to minimize hallucinations, biases, and inconsistencies in AI-generated outputs. Collaborate on curating, cleaning, and preparing training datasets for machine learning models. Use Python and tools like LangChain to prototype and deploy AI-enabled solutions across multiple platforms. Monitor AI system performance, scalability, and business alignment; continuously iterate based on data and user feedback. Stay up to date with advancements in NLP, large language models (LLMs), and generative AI technologies. Qualifications Education: Bachelor s degree in Computer Science or related field (required) Master s degree (preferred) Experience: 8 12 years of experience in AI, machine learning, or data science roles Strong track record of delivering AI-driven solutions from concept to deployment Technical Skills and Competencies Hands-on experience with LLMs (e.g., GPT, Claude, Gemini, LLaMA) and AI APIs. Proficient in Python and ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Experience with Microsoft Fabric, Fabric AI Skills, and Lakehouse/Medallion architecture. Familiarity with OpenAI API, LangChain, Azure, JSON, Java, JavaScript. Strong foundation in NLP concepts, prompt engineering, and model behavior analysis. Experience developing and deploying chatbots across platforms like Microsoft Teams, SharePoint, and web portals. Understanding of statistical models (e.g., regression, clustering) and ML algorithms (e.g., decision trees, neural networks). Strong written and verbal communication skills; able to interpret and explain AI behavior clearly. Innovative thinker with a startup mindset. Comfortable in a fast-paced, collaborative environment. Passionate about AI and its transformative potential. Focused on real outcomes and user-centric design. At Aptean, we believe in growth through innovation, and AI is at the core of that vision. You'll work on high-impact projects that stretch your capabilities, in a company that values curiosity, collaboration, and continuous learning. If you're excited to lead in the age of AI, this is your moment. Diversity & Inclusion at Aptean Aptean is committed to building a workplace where everyone belongs. We value diversity in all its forms and believe our differences make us stronger. We strive to create an inclusive environment where everyone has the opportunity to grow, succeed, and contribute their best work. Qualification : Bachelors degree in Computer Science or related field (required)

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

Subsurface AI Specialist Location: Bengaluru, India Company: Chevron Experience: 5+ Years Focus Areas: AI, Machine Learning, Subsurface Data Analysis, Oil & Gas Position Overview The Subsurface AI Specialist will design and implement AI solutions using advanced analytics, modeling, and machine learning to optimize subsurface exploration and production. This role enhances decision-making, automates workflows, and improves resource extraction processes. Key Responsibilities Design and implement AI solutions for subsurface exploration and production. Identify AI opportunities to improve decision-making and automate workflows. Collaborate with Chevron subsurface practitioners and IT teams to deploy innovative AI solutions. Communicate AI value propositions to stakeholders. Ensure ethical AI usage and compliance with data privacy regulations. Analyze and interpret subsurface data to support resource management and decision-making. Key Skills & Qualifications Bachelor s or Master s degree in Geosciences, Petroleum Engineering, Computer Science, or related field. Minimum 5 years of hands-on experience in AI solution development for complex business problems. Knowledge of the oil and gas value chain (upstream, midstream, downstream). Strong background in machine learning, data science, and AI technologies. Proficiency in programming languages such as Python, C++, and cloud AI/ML services like Azure and Databricks. Preferred Qualifications Experience with Agentic AI. Benefits Competitive salary and benefits package Health, dental, and vision insurance Retirement savings plan Paid time off, including vacation and sick leave Opportunities for professional development Apply Now If you are passionate about AI and innovation in the energy sector, apply today to join Chevron's Subsurface team! Equal Opportunity Statement Chevron is an equal opportunity employer, committed to diversity and inclusion in the workplace. Qualification : Bachelors or Masters degree in Geosciences, Petroleum Engineering, Computer Science, or related field.

Senior Engineer AI/ML, C/C++ Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary As a Qualcomm Software Engineer, you will design, develop, modify, and validate embedded and edge cloud software or specialized utility programs that launch cutting-edge, world-class products. Collaboration is key in this role, working across systems, hardware, test, and architecture teams to meet software performance and interface requirements. About the Role We are seeking a talented AI/ML Engineer with a solid background in AI/ML, C/C++, and operating systems. The ideal candidate has 3 to 5 years of experience in machine learning development and implementation and will be responsible for building and deploying AI gateway solutions that promote innovation and operational efficiency. Required Qualifications Bachelor's or Master s degree in Computer Science, Engineering, or related field. 3 to 5 years of experience in AI/ML development. Technical Skills Strong proficiency in C and C++ programming. Deep understanding of operating system internals and functions. Experience with ML frameworks like TensorFlow, PyTorch, or equivalent. Strong grasp of data structures, algorithms, and software design patterns. Experience in data preprocessing techniques and related tools. Familiarity with Git and version control best practices. Soft Skills Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Self-motivated with the ability to work independently and as part of a team. Adaptable and eager to stay updated with evolving technologies. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Staff/Senior Staff AI Developer Advocate Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary We are looking for Developer Advocates to enable developers building with generative AI and AI-driven hardware applications. You will engage with the community and create resources to onboard developers on our platforms. Qualcomm products touch multiple industries, including mobile, laptops, mixed-reality, robotics, and industrial IoT. You will work closely with product, engineering, and regional sales teams to drive awareness and engagement for our platforms. You are a builder who loves writing code and integrating AI models into applications. Whether it's language-based use cases, computer vision, or audio, you can effortlessly integrate open-source models (large or small) and distilled models into applications. You are also a community builder, engaging, ideating, and helping others realize their development goals. Your contributions and insights from the community will directly impact product improvements, drive feature prioritization, and help create a repository of community-contributed sample applications, tutorials, and content. You will engage with community builders and influencers to build ecosystems that encourage constant collaboration. Responsibilities Engage with external developers in at least one of the following application areas: IoT, Automotive, Microsoft device ecosystem. Collaborate across software, hardware engineering, developer marketing, and product management teams. Understand trends in ML model design and workflow through academic research and developer engagements. Ensure comprehensive sample applications for AI on Linux/Windows using Snapdragon to cover a variety of models and use cases. Interface with 3rd party developers and internal teams to create easy-to-use sample applications and documentation for Windows on Snapdragon. Contribute new features and designs to the Qualcomm AI toolkit to enhance the developer workflow. Minimum Qualifications Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. 6+ years of software engineering, systems engineering, or related work experience. Preferred Qualifications Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU programming, and parallel computing. Experience with large language models/foundational models is a plus. Good understanding of the complete AI software stack and AI performance tuning techniques on GPU, NPU-based systems. Experience in developing end-to-end AI applications on Windows using Windows ML, DirectML. Experience with training and deploying models on servers and porting them to client Windows compute platforms, including inference deployment and performance tuning. Proficiency in programming languages such as Python and C++. Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Strong leadership abilities to guide development teams. Attention to detail with strong problem-solving, analytical, and debugging skills. Ability to adapt quickly and learn in a fast-changing environment. Familiarity with software development methodologies, version control systems, and agile project management practices. 12+ years of application development experience, with 5+ years in AI application development on Windows. Bachelor's degree in Computer Science or Electrical Engineering. Qualification : Bachelor's or advanced degree in computer science, artificial intelligence, or a related field.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Job Description: Bachelor s degree in Mathematics, Engineering, preferably in Mechanical or a related field. Strong programming skills in any programming languages such as Python or Java or C++. Solid understanding of analytical geometry and computational geometry. Basic knowledge of CAE tools ANSA is a must. Strong analytical and problem-solving skills. Background in programming, analytical geometry, and exposure to pre-processors, particularly ANSA, is an advantage. You will receive comprehensive on-job training on python, ANSA, a leading CAE pre-processor, and ANSA scripting Sessions and exposure to commonly used ANSA API s. Preferred Skills Ability to write programs to solve mathematical or logical problems. with ANSA knowledge. Experience: 0 to 3 years Location: Bangalore Educational Qualification: BE / ME /B.Tech / M.Tech Number of Positions: 3 Qualification : BE / ME /B.Tech / M.Tech

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Job Title: Digital Transformation Leader Industrial Manufacturing and Aerospace Engineering Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, combining market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what s next for their businesses. We are committed to delivering tangible impact through cutting-edge solutions across industries. My Role: As a Digital Transformation Leader and Subject Matter Expert (SME) in the Industrial Manufacturing and Aerospace Engineering & R&D domains, I will play a pivotal role in shaping the future of our client's digital journey. This includes understanding day-to-day industry activities and leveraging this knowledge to lead projects and build high-performing teams. You will: Lead the development and delivery of digital transformation initiatives in industrial manufacturing and aerospace engineering, specifically focusing on digital continuity, engineering transformation, and model-based systems engineering. Act as a thought leader and industry expert, driving innovative solutions to address customer challenges. Develop and manage digital offers, go-to-market strategies, and key technology solutions for global OEMs and industry players, ensuring alignment with business objectives and ROI. Lead and mentor a team of consultants, ensuring the successful deployment of industry-leading digital transformation projects. Collaborate with sales teams, customers, and stakeholders to generate new business opportunities for Capgemini Invent. Articulate thought leadership by conducting industry studies, identifying future trends, and promoting Capgemini's branding. Manage cross-functional teams and work on market strategies for servitization models or after-sales support, leveraging new product/solution development. Build and foster strong customer relationships, using your process/technology expertise to develop solutions tailored to their business needs. Drive innovation by integrating Industry 4.0 technologies such as IoT, cloud, AR/VR, automation, digital twins, blockchain, and RFID into customized offerings for clients. My Profile: Qualifications (Must Have): 14+ years of experience in consulting and the Industrial/Aerospace industry, with a focus on Engineering and R&D consulting. Strong Project Management experience. Good to Have: Business Consulting experience. PMP certification. What You ll Love About Working Here: Flexible work arrangements to support work-life balance, including remote work and flexible hours. Career growth opportunities through various programs and professions designed to help you explore a world of possibilities. Access to certifications in the latest technologies such as Generative AI, enabling you to stay ahead in your field. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world. With 340,000 team members across more than 50 countries, Capgemini leverages its market-leading capabilities in AI, cloud, and data to address the full range of business needs, from strategy and design to engineering. Trusted by clients for over 55 years, Capgemini reported global revenues of 22.5 billion in 2023.

Position: Power Platform Engineer Experience: 5+ years of experience with Power Platform and related technologies Employment Type: Full-time Mandatory Skills: Delivering services and solutions using Microsoft PowerApps, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations. Hands-on experience with Dataverse and related business process automations. Proficiency in migrating Power Platform solutions across different tenants with a solid understanding of data connections and references. Basic SharePoint Online experience with lists, libraries, and connectivity. Azure DevOps experience. Familiarity with Agile (Scrum) development processes. Stay updated with the latest features and trends in PowerApps and Power Automate. Tasks and Responsibilities: Understand and contribute to the overall Power Platform migration program. Ensure technical quality and compliance with the overall architecture. Execute migration requirements while testing and working in direct contact with customers. Collaborate closely with cross-functional teams to deliver solutions that align with business needs. Desired Skills: Self-driven with the ability to provide solutions independently and as part of a team. Experience working in Agile (Scrum) development environments. Experience in a project-oriented, international matrix organization. Excellent communication skills, with the ability to work across multiple countries and time zones. High degree of flexibility and strong interpersonal skills. Willingness to travel for close coordination with the team as required. Join Us! We offer a dynamic environment, opportunities for growth, and the chance to work on exciting Power Platform projects in a global organization. If you re passionate about delivering high-quality solutions and staying ahead of industry trends, we d love to hear from you!

About _VOIS (Vodafone Intelligent Solutions): _VOIS is a strategic arm of Vodafone Group Plc, driving innovation, enhancing quality, and delivering efficiencies across 28 countries. Operating from seven global locations Albania, Egypt, Hungary, India, Romania, Spain, and the UK our team of over 29,000 highly skilled professionals powers Vodafone s transformation journey. Established in 2006, _VOIS has grown into a global, multi-functional Centre of Excellence for Intelligent Solutions, delivering value-added services in IT, Business Intelligence, Customer Operations, HR, Finance, Supply Chain, and more. Our focus is on creating business outcomes that support Vodafone s mission of connecting for a better future. About _VOIS India: Since its inception in 2009, _VOIS India has evolved into one of our key global delivery hubs. With more than 14,500 employees across Pune, Bangalore, and Ahmedabad, _VOIS India supports Vodafone s global markets and functions. We deliver world-class services in areas such as Information Technology, Networks, Business Intelligence & Analytics, Robotics & AI, Digital Business Solutions, Finance Operations, Supply Chain Operations, and Human Resources. Job Role: UC Network Platform Design Specialist Key Responsibilities: Deliver low-level platform designs for all UC network platforms, ensuring alignment with project plans and effective collaboration with other teams. Own and manage the UC Network baseline, lifecycle, and platform integrity. Lead projects to maintain platform integrity and ensure optimal performance. Manage team resources to meet delivery deadlines and budget expectations. Provide advanced 3rd line support for complex UC network issues. Core Competencies & Required Skills: Minimum 5 years experience in designing and deploying large-scale computing and network infrastructures. Strong expertise in: CISCO: 9K, 7K, 2K, 1K, Catalyst 3x50 switches CISCO ASA and Juniper Firewalls CISCO Unified Computing network components (e.g., DCNM, Fabric Interconnect) IP Routing Protocols: BGP, OSPF CISCO HCS and routers Load Balancers (desirable) SDN/NFV and cloud platforms (Amazon AWS, Google Cloud, Microsoft Azure) (desirable) System administration skills (Windows Servers, RedHat Enterprise) are a plus. Equal Opportunity Employer: At _VOIS, diversity and inclusion are part of who we are. We celebrate individuality and welcome diverse perspectives, creating a workplace where everyone feels empowered to be their authentic self. We do not discriminate based on age, color, gender, gender identity, gender expression, nationality, race, religion, sexual orientation, disability status, or any other legally protected characteristic.