10 Svms Jobs

You will be part of the HV Services team at Hitachi Vantara in Hyderabad, India, where you will play a crucial role in managing and optimizing data infrastructure for various clients. As a key member of the team, you will have the opportunity to work on cutting-edge technologies and make a real-world impact with data. Your responsibilities will include: - Having 8+ years of hands-on experience working on NetApp CDOT and possessing knowledge of HNAS or hands-on experience in HNAS would be an added advantage. - Demonstrating in-depth knowledge of the NetApp C Mode and familiarity with NetApp Active IQ Manager, OCUM, On Command System manager, and CLI commands. - Configuring and managing SVM/Volume based replication, cluster configuration, setting up LIFs, cluster interconnect, and other tasks as per Industry Best practices. - Implementing Storage Efficiency, Storage QOS, Performance Analysis, Troubleshooting, and Problem Determination using NetApp tools. - Planning and executing verification/validation for required patches/microcode upgrades. - Configuring and managing NetApp Cluster Aggregates, Volumes, Qtrees, Snapshots, SVMs, SMB/CIFS shares, NFS exports, and dual protocol shares. - Migrating Data from any storage Array to NetApp C Mode Storage Array and allocating block storage to NetApp CDOT filer. - Working on mounting shares on Unix Windows based systems and troubleshooting. - Configuring SAN Switches, adding new switches to an existing fabric, Merging switch fabrics, Trunking, Switch Migrations, etc. - Collaborating with multiple vendors to resolve complex technical problems and performing Root Cause Analysis on storage issues. - Assisting team members, mentoring BAU support teams, and working as an Individual Contributor. - Translating business requirements into technology solutions and implementing Best Practices. At Hitachi Vantara, we are a global team of innovators dedicated to co-creating meaningful solutions to complex challenges. We value diversity, equity, and inclusion as integral parts of our culture and identity. Your uniqueness, ideas, lived experience, and fresh perspective are highly valued, and we encourage individuals from all backgrounds to apply and realize their full potential as part of our team. We offer industry-leading benefits, support, and services that prioritize your holistic health and wellbeing. Our commitment to life balance and flexible work arrangements ensures that you can thrive in your role. At Hitachi Vantara, you will experience a sense of belonging, autonomy, freedom, and ownership as you collaborate with talented individuals and share knowledge in an innovative environment.,

You will be part of Hitachi Vantara, a trusted data foundation empowering innovators worldwide. Your role will involve providing expert Advanced NetApp L3 level support, CVO ONTAP, and implementing automation solutions. You should possess strong troubleshooting skills and optimize NAS systems for optimal performance. Location: Hyderabad (Work from Office) Key Responsibilities - Providing L3-level support for NetApp CDOT in a NAS environment to ensure high availability and performance. - Demonstrating expertise in NetApp C Mode, including cluster configuration, SVM/volume-based replication, LIFs setup, and storage efficiency implementation. - Managing and troubleshooting SMB/CIFS shares, NFS exports, and dual protocol shares for seamless data access and performance. - Performing performance analysis, troubleshooting, and root cause analysis (RCA) using tools like NetApp Active IQ Manager, OCUM, and OnCommand System Manager. - Planning and executing patch/microcode upgrades and data migration to NetApp C Mode, following ITIL Change Management. - Leading Problem Management activities, identifying, diagnosing, and resolving complex storage issues. - Implementing automation solutions to streamline storage operations, improve efficiency, and reduce manual efforts. - Configuring and managing Cluster Aggregates, Volumes, Qtrees, Snapshots, and SVMs in adherence to industry best practices. - Collaborating with vendors and cross-functional teams to resolve technical issues and ensure smooth operations. - Mentoring BAU support teams, contributing as an individual contributor, and translating business requirements into scalable technology solutions. - Willingness to work in 24x7 shifts, including nights, as required. Key Skills And Experience - 7+ years of hands-on experience with NetApp CDOT (ONTAP). - HNAS knowledge is a plus. - Expertise in ITIL processes (Change Management, Problem Management). - Hands-on experience with CVO ONTAP (Cloud Volumes ONTAP). - Candidates with B. E/ B. tech/ M.Sc. or equivalent degrees are preferred. About Us Hitachi Vantara is a global team of innovators dedicated to co-creating meaningful solutions to complex challenges. We empower organizations to become data-driven leaders making a positive impact on industries and society. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are fundamental to our culture. We encourage diverse thinking, allyship, and empowerment to achieve powerful results. We value your unique perspective and support individuals from all backgrounds to realize their full potential as part of our team. How We Look After You We offer industry-leading benefits, support, and services to take care of your holistic health and wellbeing. We champion life balance and provide flexible arrangements tailored to your needs. Join us to experience a sense of belonging, autonomy, freedom, and ownership while collaborating with talented individuals in a supportive environment.,

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Job Description: Job Duties: Evaluate high-impact statistical models and AI applications in various business functional areas, focusing on but not limited to fraud risk, AML and other Compliance models. Conduct quantitative and qualitative model validation in line with internal Model Risk Management Policy and industry standard to identify and report issues arising from model data, model design and model use, provide subject-matter expert opinion on model enhancement. Maintain technical documentation of AI/ML model development and validation. Collaborate with business units and model developers to ensure model issues are agreed and remediated in a timely manner. Utilize knowledge of and experience with Python and SQL, big data and statistical and machine learning models, e.g., logistic regression, time series, random forests, SVMs, XGBoost, CNNs/RNNs. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master's degree in Data Science, Computer Science, Business Analytics or a closely related field plus one year of experience as a Data Scientist or in a related occupation. Special Skill Requirements: 1. Experience using advanced data extraction and cleansing tools (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark, SQL, etc.) (1 year) 2. Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs), with experience applying these techniques for predictive modeling, such as credit scoring, fraud detection, and financial forecasting (1 year) Preferred Qualification: EOE, including disability/vets. Must be legally authorized to work in the U.S. without sponsorship. Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit . For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit . Who We Are: to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

As a Senior AI Architect at Copper Digital in Gurugram, you will be responsible for leading the design of cutting-edge AI solutions, particularly focusing on Generative AI, RAG models, Computer Vision, and OpenCV. Your role will involve building scalable, AI-driven applications to address complex business challenges. Your key responsibilities will include designing and implementing Generative AI, RAG, and Agentic AI solutions. You should be proficient in LangChain, LlamaIndex, AutoGen, and Semantic Kernel. Additionally, you will be developing recommendation systems, predictive models, and computer vision solutions using CNNs and image processing techniques. You will lead the end-to-end AI lifecycle from POC/MVP to production, leveraging expertise in Python, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, and Google Cloud. Ensuring AI ethics and bias mitigation in model development is also a crucial aspect of your role. Desired skills for this position include a strong background in LLMs like GPT, BERT, LLaMA, and Bloom, as well as experience with classical AI methodologies such as decision trees, SVMs, and reinforcement learning. Proficiency in cloud and data management, along with excellent communication skills to effectively convey complex AI solutions to stakeholders, is highly valued. If you are ready to drive AI innovation, lead impactful projects, and contribute to the advancement of AI technology, we encourage you to apply for this exciting opportunity at Copper Digital in Gurgaon.,

About Kotak Mahindra Group: Established in 1985, the Kotak Mahindra Group is one of India's leading financial services conglomerates. In February 2003, Kotak Mahindra Finance Ltd (KMFL), the group's flagship company, received a banking license from the Reserve Bank of India (RBI). With this, KMFL became the first non-banking finance company in India to become a bank - Kotak Mahindra Bank Limited. The Group offers a wide range of financial services that encompass every sphere of life. From commercial banking, to stock broking, mutual funds, life insurance and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The Group has a wide distribution network through branches and franchisees across India, the international offices in London, New York, California, Dubai, Abu Dhabi, Bahrain, Mauritius and Singapore. For information, please visit the company's website at Job Description: The Retail Assets Data Science team in Kotak Mahindra Bank is responsible for developing risk, marketing and allied scorecards for Retail Assets products. The core work charter includes supporting different products under Retail assets by developing marketing, cross-selling, acquisition, customer management and collections scorecards for multiple products (credit cards, personal loans, consumer durables etc.) using cutting-edge Data Science capabilities and Data platforms. As part of the data science function for Retail Assets business, one should be at the forefront of a data-driven initiative to optimize decision making.The Data Scientist role will draw upon knowledge of programming and Quantitative solutions and be an integral part in the design, development and maintenance of effective and compliant statistical risk and decision support models and related analytics. This role focuses on leveraging data science techniques for model development, driving automation and process improvement while demonstrating innovative thinking, passion for data science and fostering cross-team collaboration. Establishing strong working relationship with stakeholders in the bank is also a key aspect of this role. Roles and Responsibilities: Develop and deploy machine learning models for risk, marketing and other essential metrics, collaborating closely with stakeholders to ensure accurate and timely implementation. Carry out data processing including statistical analysis, variable selection, and dimensionality reduction, custom attribute engineering, as well as the evaluation of new data sources. Use ML techniques such as regression, classification, clustering, tree-based algorithms, support vector machine to address business problems. Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters. Provide the business and other stakeholders with advice and support on model use, model impact and model implementation. Work with model governance teams to develop methods and metrics for ensuring all models continue to perform as expected according to internal and external model risk standards. Understand the systems and the business processes that populate those systems with data Automate processes to ensure scalability of solutions by collaborating with cross-functional teams. Skill requirements: Bachelors/Masters in a quantitative field (Engineering, Statistics, Econometrics, Mathematics, Computer Science etc) 2-5 years of experience as a Data Scientist preferably in the banking or financial services sectors Strong programming background (Python, Pyspark, SAS, SQL etc.) Hands on experience in building and implementing best in class Machine Learning models. Familiarity with ML models - XGBoost, Light GBM, Random Forests, SVMs, multivariate analysis, clustering, dimensionality Experience in carrying out data processing including statistical analysis, variable selection, and dimensionality reduction, custom feature engineering, as well as the evaluation of new alternate data sources Experience in partnering with technology teams to implement models/algorithms in production Ability to communicate clearly and effectively with stakeholders at all levels of thebusiness Ability to work independently and deal with ambiguity. Highly motivated and collaborative team player with strong interpersonal skills

You should have 5 to 7 years of experience in Data Science or Machine Learning roles. Your proven ability should cover working on end-to-end ML projects, from research to production. It is essential to conduct in-depth machine learning research and stay updated with state-of-the-art advancements, including reading, interpreting, and implementing research papers, especially in the Generative AI domain. Your responsibilities will also include mentoring and guiding junior data scientists and interns in executing real-world projects. You should be able to design and build machine learning and deep learning models to solve complex business challenges. Working collaboratively across teams to turn data into decisions and models into products is a crucial aspect of the role. Having a strong foundation in Statistics and Probability is essential. You should also possess advanced proficiency in Python for data science and ML workflows. Hands-on experience with key libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch is required. Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, and SVMs is expected. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) is a plus. Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications will be beneficial. Your ability to turn theoretical models into production-ready code with clarity and precision is highly valued in this role.,

As an expert in Advanced NetApp L3 level support within the HV Services function at Hitachi Vantara, located in Hyderabad, India, you will play a crucial role in ensuring the high-performance operations of NAS systems. With over 8 years of hands-on experience with NetApp CDOT (ONTAP), your responsibilities will include providing L3-level support, optimizing NAS systems, and implementing automation solutions. Your expertise in ITIL processes such as Change Management and Problem Management will be essential in ensuring high availability and performance of NetApp CDOT in a NAS environment. Additionally, your hands-on experience with CVO ONTAP and proficiency in NetApp C Mode will enable you to configure, troubleshoot, and optimize various aspects of storage infrastructure. You will be responsible for managing and troubleshooting SMB/CIFS shares, NFS exports, and dual protocol shares to ensure seamless data access and performance. By conducting performance analysis, troubleshooting, and root cause analysis using tools like NetApp Active IQ Manager, OCUM, and OnCommand System Manager, you will contribute to the continuous improvement of storage operations. As a key member of the team, you will lead Problem Management activities, plan and execute patch/microcode upgrades, and collaborate with vendors and cross-functional teams to resolve complex technical issues. Your ability to mentor BAU support teams and translate business requirements into scalable technology solutions will be crucial in driving the success of the organization. If you have a B.E/B. tech/M.Sc. or equivalent degree and are passionate about leveraging your expertise in NetApp technologies to make a real-world impact with data, we invite you to join our diverse, global team. At Hitachi Vantara, we champion diversity, equity, and inclusion, and are committed to empowering individuals from all backgrounds to realize their full potential. Join us in co-creating meaningful solutions to complex challenges, turning organizations into data-driven leaders, and inspiring the future through innovation. At Hitachi Vantara, we support your holistic health and wellbeing, offer industry-leading benefits, and promote a culture of empowerment, allyship, and fresh perspectives. If you are excited about being part of a dynamic team that values innovation, diversity, and collaboration, Hitachi Vantara is the place where you can fulfill your purpose and achieve your potential. Come be a part of our journey towards creating a positive impact on industries and society.,

As the Manager- Data Science at Holcim, you will play a crucial role in the Groups Global Advanced Analytics CoE by enabling our Businesses for Insights Driven Operations and Decision making through the utilization of cutting edge Analytics tools and techniques. Your primary responsibility will involve working closely with Business / Domain Subject Matter Experts to understand pain points and opportunities, and develop analytical models to identify patterns and predict outcomes of key business processes. You will be required to identify the most suitable modeling techniques and apply Machine Learning and Deep Learning Algorithms to create self-correcting models and algorithms. It will be essential to collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions. Additionally, you will test hypotheses on raw datasets to derive meaningful insights and identify new opportunity areas. Your role will encompass all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models, and deploying Gen AI Solutions. You will be involved in designing full stack ML solutions in a distributed computing environment such as AWS and GCP, with the possibility of developing ML solutions for deployment on the edge or mobile devices if required. To be successful in this role, you should possess a total experience of 12-15 years with at least 8 years of relevant Analytics experience. Industry Experience and knowledge, particularly in Manufacturing/ Operations Functions within the Building Material Industry, Manufacturing, Process, or Pharma sectors, is preferred. Hands-on experience in statistical and data science techniques, as well as developing and deploying Gen AI Solutions, will be critical for this position. In terms of technical skills, you should have over 8 years of hands-on experience in advanced Machine Learning & Deep Learning techniques and algorithms, such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, and Transformers. Proficiency in statistical computer languages like Python and PySpark to manipulate data and draw insights from large datasets is essential. Experience with Cloud platforms like AWS, DL frameworks such as TensorFlow, Keras, or PyTorch, and familiarity with business intelligence tools and data frameworks will be advantageous. In addition to technical skills, leadership and soft skills are equally important for this role. You should lead by example on values and culture, be open-minded, collaborative, and an effective team player. Working in a multicultural and diverse team, dealing with ambiguity, and communicating openly and effectively with various stakeholders are key aspects of this position. Being driven for success, aspiring to a culture of service excellence, and always prioritizing customer satisfaction, people, and business are qualities that will set you up for success in this role. If you are motivated by the opportunity to make a significant impact through data-driven decisions and innovative solutions, we invite you to build your future with us at Holcim by applying for this role.,

You are a seasoned professional with expertise in Advanced NetApp L3 level support, CVO ONTAP, and ITIL processes (Change Management, Problem Management). As a part of the HV Services team at Hitachi Vantara in Hyderabad, India, your role involves optimizing NAS systems for high-performance operations and providing L3-level support for NetApp CDOT in a NAS environment to ensure high availability and performance. Your responsibilities include demonstrating in-depth expertise in NetApp C Mode, managing and troubleshooting SMB/CIFS shares, NFS exports, and dual protocol shares, performing performance analysis and root cause analysis using tools like NetApp Active IQ Manager, and executing patch/microcode upgrades and data migration. You will lead Problem Management activities, implement automation solutions to streamline storage operations, and configure and manage Cluster Aggregates, Volumes, Qtrees, Snapshots, and SVMs while adhering to industry best practices. Collaboration with vendors and cross-functional teams to resolve technical issues, mentorship of BAU support teams, and translating business requirements into scalable technology solutions are also essential aspects of your role. To excel in this position, you should have at least 8 years of hands-on experience with NetApp CDOT (ONTAP) L3 level support, expertise in ITIL processes, and hands-on experience with CVO ONTAP. Candidates with B.E/B.Tech/M.Sc. or equivalent degrees are preferred for this role. At Hitachi Vantara, we are committed to championing diversity, equity, and inclusion. We value diverse thinking, allyship, and empowerment within our team. We offer industry-leading benefits, support, and services that prioritize your holistic health and wellbeing. Our flexible work arrangements and commitment to work-life balance ensure that you can achieve your potential while feeling a sense of belonging and ownership within our global team of innovators.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,