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ai ml engineer

HDFC Bank

<div>
 
 
 Job Purpose:
 
 
 
 An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks
 
 
 
 
 
 
 Desired Skills :
 
 
 <ul>
 <li>
 Strong background in designing and implementing machine learning and deep learning algorithms and responsible AI practices at enterprise scale and speed
 </li>
 <li>
 Working knowledge with ML platforms like TensorFlow, PyTorch, or Hugging Face
 </li>
 <li>
 Proficiency in Training, Tuning and Deploying GenAI models based on LLMs, GANs, and VAEs
 </li>
 <li>
 Hands on expert in programming languages like Python, Java, or C++, and have experience with cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and data pipeline tools (e.g., Apache Kafka, Spark)
 </li>
 <li>
 Experience working in cross-functional teams
 </li>
 <li>
 Strong analytical and problem solving skills
 </li>
 </ul>
</div>

AI/ML Engineer

Cisco

<div>
 
 Meet the Team
 
 
 
 You will be a member of Cisco Nexus Dashboard Solutions team
 
 
 <ul>
 <li>
 Cisco Nexus Dashboard is an excellent platform with integrated controller, orchestrator, analytics and assurance packages. Customer growth in last 2 years has been phenomenal.
 </li>
 <li>
 we work on cutting edge applications and there is ample creative liberty for developers to explore and adopt new technologies available as we adopt more AI coding suites and are developing solutions for or new AI based ethernet data centers.
 </li>
 <li>
 we have a plethora of different modules like telemetry collectors, ingestion pipelines, analytics pre and post processors, ML based engines, AI solutions, Integations for Vcenter, Slurm, openshift, kubernetes
 </li>
 <li>
 Folks will get ample opportunities to problem solving in scaled, distributed performance oriented applications with these techonlogies;
 </li>
 <ul>
 <li>
 KAfka, ELastic, Mongo, open telemetry, Gpb, Gnmi, grpc, ML models, Nvidia tech stack in GPU servers, golang, python software environments - you name it we have that technology adopted
 </li>
 </ul>
 <li>
 we focus on problem solving for our customers who have deployed our data centers
 </li>
 <li>
 Key drivers of growth for Cisco Data centers
 
 </li>
 </ul>
 Recent results tell us that our DC solutions for AI infrastructure support powered by Nvidia GPUs is growing at double digit growth numbers yoy.
 
 
 <ul>
 <li>
 AI infrastructure demand: The rise of generative AI is creating a massive demand for high-bandwidth networking, which Cisco is positioned to supply through its AI-ready infrastructure solutions.
 </li>
 <li>
 Cloud repatriation: Many organizations are moving certain applications back to private data centers after cloud migrations, a trend known as "cloud repatriation".
 </li>
 <li>
 On-premises AI initiatives: The need to support new on-premises AI workloads is a top driver for organizations to expand their physical data center footprints.
 </li>
 <li>
 Data center modernization: Cisco is helping customers modernize their data centers with new technologies like the Nexus 9000 series switches and UCS X-Series servers, which offer greater performance and
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 <ul>
 <li>
 You will be responsible for crafting, building our next generation applications to configure, manage, monitor, troubleshooting data centres on Cisco Nexus Dashboard platform.
 </li>
 <li>
 Define the standards, processes, best-practice guidelines and provide a common set of components for developing and deploying microservices on our Insights On-Prem environments.
 </li>
 <li>
 Develop scalable microservices for the data centre automation workflows
 </li>
 <li>
 Develop analytics solutions to ingest, post-process and visualize large amounts of telemetry data streamed from data centre switches
 </li>
 <li>
 Develop creative solutions for troubleshooting data centres
 </li>
 <li>
 Develop ML/statistical model-based solutions to predict network related data patterns
 </li>
 <li>
 Develop Gen AI based solutions to help create highly effective troubleshooting applications
 </li>
 <li>
 Communicate and collaborate effectively with cross functional teams, technical marketing teams, product teams and internal partners on deployment topics in general, and the merits of our system in particular.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 2+ years of related work experience is required in microservices software architecture, crafting, building, and debugging large scale distributed systems.
 </li>
 <li>
 Programming languages: Go, C++, Python
 </li>
 <li>
 Proven expertise in data structures, algorithms, Kafka, Elastic search, mongo db, gen AI, AI/ML technologies
 </li>
 <li>
 software design with strong analytical and debugging skills
 </li>
 <li>
 Familiar with agile practices, and believes in test driven development
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Programming languages: Go, C++, Python, React(optional)
 </li>
 <li>
 Proven expertise in Microservices, distributed architecture, system design for large scale services built for scale and performance
 </li>
 <li>
 Proven experience in data structures, algorithms, Problem solving
 </li>
 <li>
 Proven experience in message queueing technologies like Kafka, rabbitMq ( atleast one)
 </li>
 <li>
 Proven experience in No-sql distributed DB&rsquo;s like Elastic search, mongo, (atleast one)
 </li>
 <li>
 Proven expertise in software design with strong analytical and debugging skills
 </li>
 <li>
 Familiar with agile practices, and believes in test driven development
 </li>
 <li>
 Develop ML/statistical model-based solutions to predict network related data patterns
 </li>
 <li>
 Familiarity with Gen AI applications, Agentic AI is a plus
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Software Engineer --- Golang/Java with Microservices/Kubernetes --- Experience (2-4 Yrs)

CareerXperts Consulting

<div>
 
 
 About the Role
 
 
 
 
 
 
 Identify, engage, and hire top-tier AI talent with CareerXperts Consulting. You&rsquo;ll work on high-impact roles across
 
 AI, ML, Data Science, LLMs, MLOps, and frontier-tech
 
 , partnering closely with fast-growing startups and global engineering teams.
 
 
 If you&rsquo;re a tech-savvy recruiter with 2 to 5 years of experience and a strong curiosity for AI, emerging tools, and deep-tech problem-solving, this role is built for you.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 <ul>
 <li>
 Source, evaluate, and close exceptional talent across AI, ML, LLMs, Data, MLOps, and Research roles.
 </li>
 <li>
 Own the full hiring lifecycle from outreach and screening to candidate management and closing.
 </li>
 <li>
 Partner directly with founders, CTOs, and engineering leaders to decode complex mandates.
 </li>
 <li>
 Build deep and meaningful candidate relationships while maintaining a consistent experience.
 </li>
 <li>
 Draft precise job descriptions that reflect actual technical expectations.
 </li>
 <li>
 Use AI-powered sourcing and screening tools to boost efficiency and quality.
 </li>
 <li>
 Track funnel metrics and drive improvements across sourcing, qualification, and conversion.
 </li>
 <li>
 Stay updated on trends in GenAI, model engineering, data infra, and scaling systems.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 
 
 <ul>
 <li>
 2 to 5 years of experience in tech recruitment (experience hiring AI talent is a strong plus).
 </li>
 <li>
 Strong understanding of roles like ML Engineer, Applied Scientist, LLM Engineer, Research Engineer, Data Scientist, MLOps Engineer, and more.
 </li>
 <li>
 Ability to converse intelligently with technical candidates about models, data pipelines, and engineering frameworks.
 </li>
 <li>
 Curiosity-driven mindset with an interest in AI tools, research developments, and emerging technologies.
 </li>
 <li>
 Strong communication skills and the ability to evaluate both skill and intent.
 </li>
 <li>
 Comfortable working in a high-ownership, fast-paced environment.
 </li>
 <li>
 Based in Bengaluru or currently residing in Bengaluru (preferred).
 </li>
 </ul>
 
 
 
 
 
 Why Join CareerXperts
 
 
 
 
 
 <ul>
 <li>
 Work closely with AI-first startups, deep-tech ventures, and global product teams.
 </li>
 <li>
 Build expertise in niche technical hiring across advanced AI roles.
 </li>
 <li>
 High-impact work where every successful hire moves a company forward.
 </li>
 <li>
 Learn directly from senior recruiters and founders who have closed some of the toughest mandates in the ecosystem.
 </li>
 <li>
 Growth-oriented, performance-driven culture.
 </li>
 </ul>
 
 
</div>

AI & Deep-Tech Recruiter - Scaling Startup Teams

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

Data Analyst - AI & ML

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Data, Analytics &amp; AI
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
 
 
 
 
 *Why PWC
 
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more
 
 &nbsp;
 
 
 
 
 about us
 
 
 
 .
 
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
 
 
 Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 Responsibilities:
 
 
 Data Scientist (AI/ML) / Senior Associate Experience: 3- 6 Years Location: Bangalore Type: Full Time Certifications: NA About the Role: We are seeking an experienced Data Scientist (AI/ML) with over 3-6 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. This is a position with hybrid work environment, providing flexibility and collaboration opportunities. The successful candidate will play a pivotal role in shaping and leading AI/ML initiatives within our organization. Key Responsibilities: &middot; Lead and manage AI/ML projects from inception to completion, ensuring alignment with business goals and timelines. &middot; Collaborate with cross-functional teams to design and implement AI/ML solutions. &middot; Drive innovation by identifying opportunities to leverage AI/ML technologies for business improvement. &middot; Establish best practices and frameworks for AI/ML development and deployment. &middot; Manage and mentor team members, fostering a culture of learning and excellence. &middot; Monitor and evaluate project performance, ensuring the delivery of high-quality results. Required Skills: &middot; At least 3+ years of total &amp; relevant experience in AI/ML or a related field. &middot; Proven track record of successfully managing AI/ML projects and teams. &middot; Strong technical expertise in AI/ML models, algorithms, and tools. &middot; Experience working in hybrid work environments is a plus. &middot; Experience with building highly scalable, secure, and fault tolerant microservices.
 
 
 Preferred Qualifications: &middot; prior experience in industries leveraging AI/ML technologies would be advantageous.
 
 
 
 Mandatory skill sets:
 
 
 &middot; AI/ML &middot; Agentic AI &middot; Machine Learning
 
 
 preferred skill sets:
 
 
 &middot; AI/ML &middot; Machine Learning
 
 
 Years of experience required:
 
 
 Experience: 3 - 6 Years
 
 
 Education qualification:
 
 
 B.Tech / M.Tech / MCA/MBA
 
 
 
 <ul>
 <li>
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Machine Learning Algorithms
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning (ML) {+ 25 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
</div>

IN_Senior Associate_ Data Scientist (AI/ML) __ Data & Analytics _ Advisory _Bangalore

<div>
 
 Meet The Team
 
 
 
 The Cisco AI Software &amp; Platform Group drives the development of groundbreaking generative AI applications. We empower Cisco's diverse product portfolio, spanning networking and security, with intelligent assistants and agents. We work on pioneering technologies that proactively defend against threats, safeguard critical business assets, and simplify security operations. Fueled by a passion for AI/ML, we strive to create a secure future for businesses. Our collaborative and passionate team thrives with tackling sophisticated challenges and delivering innovative solutions.
 
 
 
 Your Impact
 
 
 
 We are seeking a hardworking and passionate Software Engineer to join our growing AI Defense team. In this role, you will play a crucial part in building pioneering generative AI applications that will power innovation across our entire company. You will work closely with data scientists, collaborate with other engineers and multi-functional teams, and give to the development of robust, scalable, and high-performance AI solutions.
 
 
 <ul>
 <li>
 Develop pioneering AI applications: Design and build innovative generative AI applications that are secure, reliable, and scalable.
 </li>
 <li>
 Translate business needs into technical solutions: Work closely with partners to understand business requirements and translate them into technical specifications and roadmaps.
 </li>
 <li>
 Experiment and innovate: Experiment with different generative AI models and architectures, evaluate their performance, and find opportunities for improvement.
 </li>
 <li>
 Build developer tools: Develop and maintain APIs, SDKs, and other tools that enable seamless integration of AI capabilities into various applications.
 </li>
 <li>
 Instrumentation: Implement the right types of instrumentation to supervise and measure the performance, reliability, and security.
 </li>
 <li>
 Fixing: Debug and fix integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions.
 </li>
 <li>
 Scale and Performance Optimization: Work on scale and performance tuning and optimization of different components to ensure efficient, responsive operation for handling large volumes of requests.
 </li>
 <li>
 Collaborate effectively: Work closely with data scientists, researchers, product managers, engineers, and other customers to ensure successful project delivery.
 </li>
 <li>
 Chip in to a strong engineering culture: Participate actively in code reviews, knowledge sharing sessions, and team discussions.
 </li>
 <li>
 Stay ahead of the curve: Continuously learn and stay abreast of the latest advancements in AI/ML research, industry trends, and standard methodologies.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 7+ years of professional software development experience using programming languages such as Go, Python or Java
 </li>
 <li>
 Proven experience as a Backend Engineer with expertise in integrating and scaling complex services.
 </li>
 <li>
 Strong foundation in computer science fundamentals, with a focus on data structures, algorithms, and software design principles.
 </li>
 <li>
 Strong understanding of AI service operations, including Generative AI, and the ability to design and build interfaces between them.
 </li>
 <li>
 Experience with instrumentation and monitoring tools for measuring service performance.
 </li>
 <li>
 Excellent problem-solving skills and the ability to solve complex technical issues.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Artificial Intelligence, or a related field is a strong plus.
 </li>
 <li>
 Knowledge of security best practices and compliance standards.
 </li>
 <li>
 Effective collaboration and communication skills to collaborate with multi-functional teams.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Software Engineer

Happiest Minds Technologies

<div>
 
 
 Technical Product Owner (Cloud, AI/ML /Data Platforms)
 
 
 
 
 Experience:
 
 10-16 years
 
 
 Location:
 
 Bangalore / Pune / Hyderabad / Noida / Chennai / Bhubaneswar
 
 
 &nbsp;
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Technical Product Owner
 
 to lead strategic initiatives across
 
 AI/ML/ Cloud / Data Platforms
 
 . This role combines business vision with technical execution, ensuring impactful solutions that align with organizational goals.&nbsp;
 
 
 
 Key Responsibilities
 
 
 
 
 Strategic Product Ownership
 
 &nbsp;
 
 <ul>
 <li>
 Define and communicate product vision, roadmap, and business outcomes for AI/ML, Cloud, and Data initiatives.
 </li>
 <li>
 Align product strategy with organizational OKRs, ROI goals, and digital transformation objectives.
 </li>
 <li>
 Partner with business leaders to translate high-level use cases (e.g., personalization, forecasting, anomaly detection) into actionable technical features.
 </li>
 <li>
 Define value hypotheses, track KPIs, and report impact on efficiency, automation, and customer experience.
 </li>
 <li>
 Prioritize investments based on business value, risk, and readiness.
 </li>
 <li>
 Champion
 
 Responsible AI
 
 and ethical data use within governance frameworks.
 
 &nbsp;
 
 </li>
 </ul>
 
 
 Technical Collaboration
 
 
 <ul>
 <li>
 Own and manage the product backlog: epics, user stories, data pipelines, model lifecycle features, and infrastructure capabilities.
 </li>
 <li>
 Work closely with data engineers, ML engineers, and cloud architects to design scalable solutions for data ingestion, training, and inference.
 
 &nbsp;
 
 </li>
 </ul>
 
 
 What Were Looking For
 
 
 <ul>
 <li>
 Strong experience in
 
 product ownership
 
 for AI/ML, Cloud, or Data platforms.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Ability to balance strategic vision with technical execution.
 </li>
 </ul>
</div>

PRODUCT MANAGER - PRODUCT MANAGER

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