At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description: The Future Begins Here: At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity : Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. About The Role We are seeking an innovative and skilled Principal AI/ML Engineer with a strong focus on designing and deploying scalable machine learning solutions. This role requires a strategic thinker who can architect production-ready solutions, collaborate closely with cross-functional teams, and ensure adherence to Takeda’s technical standards through participation in the Architecture Council. The ideal candidate has extensive experience in operationalizing ML models, MLOps workflows, and building systems aligned with healthcare standards. By leveraging cutting-edge machine learning and engineering principles, this role supports Takeda’s global mission of delivering transformative therapies to patients worldwide. How You Will Contribute Architect scalable and secure machine learning systems that integrate with Takeda’s enterprise platforms, including R&D, manufacturing, and clinical trial operations. Design and implement pipelines for model deployment, monitoring, and retraining using advanced MLOps tools such as MLflow, Airflow, and Databricks. Operationalize AI/ML models for production environments, ensuring efficient CI/CD workflows and reproducibility. Collaborate with Takeda’s Architecture Council to propose and refine AI/ML system designs, balancing technical excellence with strategic alignment. Implement monitoring systems to track model performance (accuracy, latency, drift) in a production setting, using tools such as Prometheus or Grafana. Ensure compliance with industry regulations (e.g., GxP, GDPR) and Takeda’s ethical AI standards in system deployment. Identify use cases where machine learning can deliver business value, and propose enterprise-level solutions aligned to strategic goals. Work with Databricks tools and platforms for model management and data workflows, optimizing solutions for scalability. Manage and document the lifecycle of deployed ML systems, including versioning, updates, and data flow architecture. Drive adoption of standardized architecture and MLOps frameworks across disparate teams within Takeda. Skills And Qualifications Education Bachelors or Master’s or Ph.D. in Computer Science, Software Engineering, Data Science, or related field. Experience At least 6-8 years of experience in machine learning system architecture, deployment, and MLOps, with a significant focus on operationalizing ML at scale. Proven track record in designing and advocating ML/AI solutions within enterprise architecture frameworks and council-level decision-making. Technical Skills Proficiency in deploying and managing machine learning pipelines using MLOps tools like MLflow, Airflow, Databricks, or Clear ML. Strong programming skills in Python and experience with machine learning libraries such as Scikit-learn, XGBoost, LightGBM, and TensorFlow. Deep understanding of CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions) for automated model deployment. Familiarity with Databricks tools and services for scalable data workflows and model management. Expertise in building robust observability and monitoring systems to track ML systems in production. Hands-on experience with classical machine learning techniques, such as random forests, decision trees, SVMs, and clustering methods. Knowledge of infrastructure-as-code tools like Terraform or CloudFormation to enable automated deployments. Experience in handling regulatory considerations and compliance in healthcare AI/ML implementations (e.g., GxP, GDPR). Soft Skills Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills for influencing technical and non-technical stakeholders. Leadership ability to mentor teams and drive architecture-standardization initiatives. Ability to manage projects independently and advocate for AI/ML adoption across Takeda. Preferred Qualifications Real-world experience operationalizing machine learning for pharmaceutical domains, including drug discovery, patient stratification, and manufacturing process optimization. Familiarity with ethical AI principles and frameworks, aligned with FAIR data standards in healthcare. Publications or contributions to AI research or MLOps tooling communities. WHAT TAKEDA ICC INDIA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Health & Wellness programs including annual health screening, weekly health sessions for employees. Employee Assistance Program 5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs No Meeting Days Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. Locations: IND - Bengaluru Worker Type: Employee Worker Sub-Type: Regular Time Type: Full time Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future. Department Overview Our IT organization has a critical role in driving extraordinary business results. Through a strong partnership with other areas of our business, we bring innovative thinking to every conversation and deliver with integrity. We’re looking for people who bring great ideas and who make our partners’ ideas better. Intellectually curious advisors (not order takers) who focus on outcomes to creatively solve business problems. People who not only embrace change, but who accelerate it. Job Description Scope of Responsibilities/Expectations Install, configure and administer databases, including and not limited to, Oracle, MS SQL, and Open source technologies like MySQL, MongoDB, Postgresql, etc. hosted in AWS, OCI, Azure, and On-Premises infrastructure. Provide technical leadership on database systems and solutions. Provide individual mentoring and training on databases and tools. Recommend, test, and evaluate new technologies, software tools, and required skill sets Setup, maintain and monitor databases in the development, test, and production environments. Provide support per project needs to investigate and troubleshoot issues; perform regular log analysis, security monitoring to identify any possible intrusions Perform ongoing performance tuning, technology upgrades, and system resource optimization Develop tools and automation processes to improve infrastructure and database operations Creating concepts and driving database migration/upgrade projects Develop prototypes and proof of concept solutions Support developers in development-oriented activities Prepare effort estimates, detailed execution plans, delivery schedules Liaisons with the Infrastructure team, Application team, Architecture team, third parties, as necessary Develop & maintain documentation for assigned projects, including install guide, troubleshooting guide, SOP, etc Specific Knowledge/Skills Technical Skills: Experience in Oracle Database Administration 10g/11g/12C,18C,19C, MS SQL Server, Open source database technologies like MySQL, MongoDB, PostgreSQL Experience in database administration in cloud infrastructure (AWS/OCI/Azure) Hands-on database administration skills. Hands-on experience with Oracle Applications installation and maintenance. Experience installing and configuring Real Application Clusters / Maximum Availability Architecture (MAA) solutions or clustering technologies to address high availability requirements. Experience in performing backup and restore. Experience with advanced security options: Data Encryption & Data masking, Database vault & Audit vault Experience with Disaster Recovery solutions – Logical/Physical standby, Data guard or storage level replication Knowledge of Relational Database Management Systems (RDBMS) concepts such as SQL, stored procedures, JDBC/ODBC drivers, tables, foreign keys, joins, normalization, etc. UNIX knowledge with experience writing shell scripts and creating schedule jobs on UNIX/Linux/Windows. Experience in standard operating procedures to perform pre and post-production support activities. Experience in troubleshooting and documenting issues, gaps, and resolutions. Able to provide incident management expert-level support to the Operations team as needed. Soft Skills: Manage project task execution independently and get all associated team members to deliver their tasks on time, both with and without direct authority. Self-motivated, work independently or as part of a team, learn quickly, meet deadlines and demonstrate problem-solving skills. Highly organized and thorough, with an ability to facilitate communication and scheduling among different levels of staff Ability to perform under pressure, handle interruptions and changes without losing productivity and plan assignments, and monitor performance according to priorities as demonstrated by regularly meeting established deadlines Ability to provide consistent follow-through with the Team Manager and IT Project manager on issues/concerns to ensure appropriate visibility and escalation where needed. Excellent verbal and written communication skills Excellent interpersonal skills with the ability to interact with others in a consistently positive manner, exercising discretion and tact Excellent written communication skills with the ability to draft clear, concise specifications, documentation, and reports Basic Requirements Must have at least 10 years of professional work experience in IT Must have at least 6 years of hands-on experience in administering Database Technology Must have at least 2 years of hands-on experience in Cloud administration Having Industry recognized certification (like OCP, OCM, AWS, or OCI Solution Architecture ) is a plus We offer: Competitive salary package Strong team-oriented culture Flexible working hours Private medical coverage Life insurance Employee Stock Plan Access to wellness facilities and integration events Motorola Solutions is supporting CSR activities and encourages employees to participate Travel Requirements None Relocation Provided None Position Type Experienced Referral Payment Plan Yes EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please email ohr@motorolasolutions.com. Show more Show less

Job Description Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and encouraging team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We develop a growing internal community and are committed to creating a workplace that looks like the world that we serve. Pay And Benefits Competitive compensation, including base pay and annual incentive. Comprehensive health and life insurance and well-being benefits, based on location. Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (Tuesdays, Wednesdays, and a day unique to each team or employee). The Impact You Will Have In This Role We are seeking a talented and expert Data Scientist to join our team. The ideal candidate will have expertise in Python, AI/ML, Power BI, Power Apps, Power Automate, Snowflake, Oracle, SQL, and SharePoint (knowledge is a plus), with a strong background in data analysis, machine learning, and visualization. What You'll Do Develop and deploy machine learning models to tackle complex business problems and drive decision-making. This includes tasks such as data preprocessing, feature engineering, model training, and evaluation, using techniques such as regression, classification, clustering, and deep learning. Design and implement data pipelines for data extraction, transformation, and loading using Python, Snowflake, and Oracle. This involves understanding and working with various data sources and formats, ensuring data quality and integrity throughout the process. Build and maintain interactive dashboards and reports in Power BI to visualize key metrics and trends. This includes designing visually appealing and informative visualizations for collaborators, utilizing advanced DAX calculations and custom visuals, and optimizing report performance. Apply Power BI's advanced features such as Power Query, Power Pivot, and Power View to handle large datasets efficiently and create dynamic and interactive reports. Build and optimize Power Apps solutions to automate business processes and enhance productivity. This involves understanding user requirements and designing user-friendly interfaces, using Power Apps' capabilities to streamline workflows and improve efficiency. Develop and deploy workflows and business process automations using Power Automate. This includes automating repetitive tasks, integrating systems, and orchestrating complex workflows to improve operational efficiency and reduce manual effort. Collaborate with cross-functional teams to see opportunities for leveraging data and analytics to drive business value. This involves understanding business requirements, conducting data analysis, and translating insights into actionable recommendations and solutions. Provide technical leadership and mentorship to junior team members. This includes sharing standard processes, providing guidance on technical issues, and fostering a culture of continuous learning and innovation. Education Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. Talents Needed For Success 7+ years of experience in data science, analytics, or related roles, with a focus on machine learning and data-driven decision-making. Proven experience in Python programming and machine learning techniques, with a deep understanding of algorithms and data structures. Experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch is highly preferred. Strong understanding of different machine learning algorithms and their applications, including supervised learning, unsupervised learning, and reinforcement learning. Expertise in data visualization and dashboard development using Power BI. Experience with other visualization tools such as Tableau or Qlik is a plus. Proficient in creating complex calculations, measures, and KPIs in Power BI to derive actionable insights from data. Strong proficiency in Power Apps development, including canvas apps, model-driven apps, and custom connectors. Experience in building and deploying workflows and automations using Power Automate. Hands-on experience with Snowflake and Oracle database technologies. Advanced skills in SQL programming, with experience in writing complex queries and stored procedures. Excellent analytical and problem-solving abilities, with a keen attention to detail and a passion for data-driven decision-making. Effective communication skills and ability to collaborate with cross-functional teams, translating technical concepts into business insights and recommendations. SharePoint knowledge is a plus. Nice To Have Skills Communicates openly keeping everyone across the organization advised. Strong communicator who is a self-starter and highly motivated individual Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

We’re hiring Data Analytics Interns who can work independently on real-world problems using structured thinking and data-driven insights. This challenge reflects how we work: starting from problem understanding to delivering actionable outcomes. Your Challenge Choose one of the following real-world problem statements and perform a full data analysis project. Choose one Topic from below : Food Waste Optimization in Supermarkets School Dropout Risk Analysis Smart Water Usage in Urban Homes City Budget Allocation vs Public Outcomes Fake Product Detection in Online Marketplaces Gender Bias in Hiring or Promotions 7. Public Transport Impact on City Pollution Follow This Analysis Flow To reflect a real analytics pipeline, your project should include the following: 1. Problem Framing & Hypothesis Define the problem clearly Set goals, KPIs, and any testable hypotheses 2. Descriptive Analysis Clean and prepare your data Explore distributions, trends, and correlations using visual and statistical summaries Present key patterns and summaries 3. Diagnostic Analysis Go deeper: compare groups, segment users/items, identify anomalies Explore potential reasons behind trends or behaviors 4. Inferential or Predictive Analysis Apply relevant models (e.g., classification, regression, clustering, statistical inference) Evaluate performance and interpret the model output If no modeling is needed, include strong inferential reasoning 5. Prescriptive Insights Translate your findings into clear recommendations Suggest strategies, optimizations, or interventions based on your analysis 6. Storytelling & Delivery Use visuals and simple language to communicate your work Summarize your conclusions for both technical and non-technical audiences What to Submit A Jupyter Notebook (or Excel / Power BI / Tableau Dashboard) A 1–3 page PDF Report summarizing your work and recommendations (Optional) Link to GitHub or Google Drive folder with full project files Where to Find Data You may use open datasets from or any legitimate dataset you find in Internet: Kaggle OpenAQ Amazon Reviews Dataset OpenBudgets.eu World Bank & UNESCO Education Data Or simulate data based on realistic assumptions Submission Instructions Email to: info@gigaversity.in Subject Line: Data Analytics Internship – [Your Name & resume ] Deadline: 22nd June -2025 - for any extensions please write a detailed email on the project and explaining the delay in submission we will consider . Top Candidate will receive A paid internship offer A chance to work on real business or policy challenges Potential full-time opportunity based on performance in 6 months Show more Show less

About Us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who You Will Work With Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today. We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools. We also offer custom data and analytics projects to suit our clients’ needs. Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs. Refer to: www.pyxisbybain.com What You’ll Do Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams. This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation. Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time Assist with research of secondary information to validate data trends Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxis’ vast array of alternative data sources and supplemental datasets Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods About You 4-6 years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelor’s in mathematics, engineering, science, statistics or technical degree Expertise working with large data sets and proficiency in SQL, Excel Experience in Python Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques Excellent verbal, written, and data visualization skills Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.) Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus Experience with Git and modern software development workflow is a plus Agile way of working and tools (Jira, Confluence, Miro) What Makes Us a Great Place To Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Diploma/CS/B Tech/BE holder (Freshers/Experience ) Candidate must provide the support & services to end users. IT procurement, inventory management, Help desk support services. Handle Client, Server & Data center technology infrastructure IT infrastructure setup & support at various MRU sites Server administration on domain controller, DNS, DHCP, Terminal server services, clustering, filer, SNMP & print server services etc. Administration on Virtual Hyper converge Infrastructure like HyperV, VM Ware, Nutanix etc. Administration on Backup & storage technology, Data center infrastructure administration which consists of servers, storage, UPS, Precision Air Conditioner (PAC), CCTV, Fire system, water detection system, access control, 24x7 Data center monitoring systems etc. Cloud infrastructure administration like Azure, AWS, GCP etc. Network infrastructure support & services Monitoring, operating, and providing troubleshooting of network platforms such as routers, switches, firewalls etc. Maintain & manged network platform inventory. Performing recurring support activities related to end-user workstations, telephony and software for both local and remote users. Maintain and troubleshoot both local area and wide area network links, including firewall, remote access and VPN software and hardware. Designing and implementing new network solutions and/or improving the efficiency of current networks. Installing, configuring, implementation and supporting network equipment including routers, proxy servers, switches, Wireless devices, Wireless controllers and WAN devices. Managing subcontractors involved with network installation. Skills Required: - Diploma Freshers / Experience holder IT/Computer/EC/Electronics/telecommunications engineering or related any engineering discipline. HE IT shall impart required skill sets to mange above responsibilities. Ability to work independently, analytical and problem-solving skills. Ability to work in a fast-paced environment. Good communication skills. Resource must be stationed at HE - IC, Hazira, Surat and Travel to the other L&T site as when required. Show more Show less

India - Hyderabad JOB ID: R-216752 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jun. 06, 2025 CATEGORY: Information Systems Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. What you will do Let’s do this. Let’s change the world. We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. Roles & Responsibilities: Collaborate with data scientists to develop, train, and evaluate machine learning models. Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment. Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct A/B testing and experimentation to optimize model performance. Work closely with data scientists, engineers, and product teams to deliver ML solutions. Guide and mentor junior engineers in the team Stay updated with the latest trends and advancements What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 2 years of Computer Science, Statistics, and Data Science, Machine Learning experience OR Master’s degree and 8 to 10 years of Computer Science, Statistics, and Data Science, Machine Learning experience OR Bachelor’s degree and 10 to 14 years of Computer Science, Statistics, and Data Science, Machine Learning experience OR Diploma and 14 to 18 years of years of Computer Science, Statistics, and Data Science, Machine Learning experience Preferred Qualifications: Must-Have Skills: Strong foundation in machine learning algorithms and techniques Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Good-to-Have Skills: Experience with big data technologies (e.g., Spark), and performance tuning in query and data processing Experience with data engineering and pipeline development Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis Familiar with AWS, Azure, or Google Cloud; Familiar with Databricks platform for data analytics and MLOps Professional Certifications Cloud Computing and Databricks certificate preferred Soft Skills: Excellent analytical and fixing skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Associate I AI Engineer Gurgaon, India Business Management 314752 Job Description About The Role: OSTTRA India The Role: Associate I AI Engineer The Team: The OSTTRA Technology team is composed of Capital Markets Technology professionals, who build, support and protect the applications that operate our network. The technology landscape includes high-performance, high-volume applications as well as compute intensive applications, leveraging contemporary microservices, cloud-based architectures. The Impact: Together, we build, support, protect and manage high-performance, resilient platforms that process more than 100 million messages a day. Our services are vital to automated trade processing around the globe, managing peak volumes and working with our customers and regulators to ensure the efficient settlement of trades and effective operation of global capital markets. What’s in it for you: We are seeking a highly motivated and talented Entry Level AI Engineer to join our growing team. In this role, you will have the exciting opportunity to work at the forefront of both traditional machine learning and cutting-edge generative AI. You will contribute to the development and implementation of AI solutions that address real-world challenges in the financial services industry. This role requires a strong foundation in AI/ML principles, software engineering skills, and a collaborative mindset. This is an excellent opportunity to be part of a team based out of Gurgaon and to work with colleagues across multiple regions globally. Responsibilities: Develop and implement machine learning models: Design, build, and train traditional machine learning models (e.g., regression, classification, clustering) for tasks such as risk assessment, fraud detection, trade prediction, and operational efficiency. Explore and apply generative AI techniques: Research, experiment with, and implement generative AI models (e.g., transformers, large language models) for applications like data augmentation, synthetic data generation, anomaly detection, and natural language processing in financial contexts. Collaborate on AI solutions: Work closely with experienced AI engineers, data scientists, and software developers to integrate AI models into Osttra's existing systems and build new AI-powered applications. Contribute to software development: Participate in the full software development lifecycle, including design, coding, testing, and deployment, adhering to best practices and industry standards. Analyze and interpret data: Analyze large datasets, identify patterns and trends, and derive insights to inform model development and business decisions. Stay current with AI advancements: Continuously learn and keep abreast of the latest research and trends in both traditional machine learning and generative AI. Communicate effectively: Clearly communicate technical concepts and findings to both technical and non-technical audiences. What We’re Looking For: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Technical Skills: Strong understanding of fundamental AI/ML concepts (e.g., supervised/unsupervised learning, deep learning, natural language processing). Experience with Python and relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with generative AI models and frameworks (e.g., transformers, GPT). Proficiency in software engineering principles and practices. Knowledge of data structures, algorithms, and databases. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and as part of a team The Location: Gurgaon, India About Company Statement: OSTTRA is a market leader in derivatives post-trade processing, bringing innovation, expertise, processes and networks together to solve the post-trade challenges of global financial markets. OSTTRA operates cross-asset post-trade processing networks, providing a proven suite of Credit Risk, Trade Workflow and Optimisation services. Together these solutions streamline post-trade workflows, enabling firms to connect to counterparties and utilities, manage credit risk, reduce operational risk and optimise processing to drive post-trade efficiencies. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ years: MarkitServ, Traiana, TriOptima and Reset. These businesses have an exemplary track record of developing and supporting critical market infrastructure and bring together an established community of market participants comprising all trading relationships and paradigms, connected using powerful integration and transformation capabilities. About OSTTRA Candidates should note that OSTTRA is an independent firm, jointly owned by S&P Global and CME Group. As part of the joint venture, S&P Global provides recruitment services to OSTTRA - however, successful candidates will be interviewed and directly employed by OSTTRA, joining our global team of more than 1,200 post trade experts. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ years: MarkitServ, Traiana, TriOptima and Reset. OSTTRA is a joint venture, owned 50/50 by S&P Global and CME Group. With an outstanding track record of developing and supporting critical market infrastructure, our combined network connects thousands of market participants to streamline end to end workflows - from trade capture at the point of execution, through portfolio optimization, to clearing and settlement. Joining the OSTTRA team is a unique opportunity to help build a bold new business with an outstanding heritage in financial technology, playing a central role in supporting global financial markets. Learn more at www.osttra.com. What’s In It For You? Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), BSMGMT203 - Entry Professional (EEO Job Group) Job ID: 314752 Posted On: 2025-04-17 Location: Gurgaon, Haryana, India

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today. We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools. We also offer custom data and analytics projects to suit our clients’ needs. Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs. Refer to: www.pyxisbybain.com What you’ll do Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams. This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation. Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time Assist with research of secondary information to validate data trends Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxis’ vast array of alternative data sources and supplemental datasets Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods About you 4-6 years of experience in data mining, statistical modelling, and data analysis, preferably in ecommerce industry, with at least Bachelor’s in mathematics, engineering, science, statistics or technical degree Expertise working with large data sets and proficiency in SQL, Excel Experience in Python Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques Excellent verbal, written, and data visualization skills Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.) Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus Experience with Git and modern software development workflow is a plus Agile way of working and tools (Jira, Confluence, Miro) What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents..

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: Moving our world forward by delivering what matters! UPS is a company with a proud past and an even brighter future. Our values define us. Our culture differentiates us. Our strategy drives us. At UPS we are customer first, people led and innovation driven. UPS’s India based Technology Development Centers will bring UPS one step closer to creating a global technology workforce that will help accelerate our digital journey and help us engineer technology solutions that drastically improve our competitive advantage in the field of Logistics. ‘Future You’ grows as a visible and valued Technology professional with UPS, driving us towards an exciting tomorrow. As a global Technology organization we can put serious resources behind your development. If you are solutions orientated, UPS Technology is the place for you. ‘Future You’ delivers ground-breaking solutions to some of the biggest logistics challenges around the globe. You’ll take technology to unimaginable places and really make a difference for UPS and our customers. Job Summary Supports enterprise information systems housed in highly automated and secure centralized data centers, large computer rooms, corporate facilities, and other company locations. Ensures a stable operating environment and maximum use of system facilities. Develops effective relationships with business stakeholders and various end users. Ensures required IT services are identified, developed, and supported to the satisfaction of the stakeholders. Establishes and maintains service level agreements and is the main point of contact for all service issues. Performs technical, analytical, or maintenance work. Typically, knowledge is gained through a combination of formal education in a vocational or technical degree program and on-the-job training. Requires full proficiency in a range of technical, analytical, or scientific processes or procedures through training and considerable on-the-job experience. Completes a variety of atypical assignments. Works within defined technical processes and procedures or methodologies and may help determine the appropriate approach for new assignments. Works with a limited degree of supervision, with oversight focused only on complex new assignments. Acts as an informal resource for colleagues with less experience. Qualification: 8+ years of experience Understanding of the IT infrastructure and its relationship to the operation Bachelor's degree in computer science, Information Systems, or equivalent preferred Primary Skills: Strong knowledge of - Server Administration Networking Linux Administration Windows Server Administration SQL Server Administration Proficient with version control (Git) Managing packages (rpm, yum, apt) Process and service management (ps, kill, systemctl, cron) Secure remote access and file transfer (ssh, scp) Shell scripting & text processing (awk, sed) Networking basics and diagnostics (ping, curl, telnet, netstat, iptables, lsof) File system operations and storage management (df, du, mount, ln) System performance monitoring (top, htop, strace) Strong knowledge of PC hardware and server architecture and networking Excellent documentation skills Excellent troubleshooting and analytical skills Excellent process management skills Proficient in Microsoft Office Secondary Skills: Basic knowledge of clustering technologies Willingness to learn new technologies Minimal supervision required Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. This is for Pune and Chennai Location As a Senior DB2 Database Administrator you will showcase your DB2 expertise on AIX, Linux, and Windows platforms, your primary responsibility will be to ensure the smooth and efficient operation of the organization's databases. You will be responsible for designing, implementing, and maintaining the database systems, ensuring data integrity, security, and availability. Your role will also involve optimizing database performance, troubleshooting issues, and collaborating with other IT teams to support various applications and projects. What you will do: Install, configure, and upgrade DB2 database systems on AIX, Linux, and Windows platforms Monitor and manage database performance, capacity, and health to ensure optimal functionality and availability while addressing potential security breaches Perform regular backups, recovery, and disaster recovery planning to safeguard critical data Implement and maintain database security measures, including user access controls and data encryption, to protect sensitive information Identify and resolve performance bottlenecks, optimizing SQL queries, and tuning database configurations to enhance system performance Maintain detailed documentation of database configurations, changes, and troubleshooting procedures Prepare regular reports on database performance, growth, and capacity planning Design and implement backup and recovery strategies to ensure data integrity and availability in case of failures within security policies and standards to comply with relevant regulations and best practices What you will need to have: 5+ years of experience as a Database Administrator, with specific expertise in DB2 on Linux platforms 3+ years of experience with scripting languages (e.g., Bash, Python) for automation and monitoring tasks Bachelor's degree in a related field or an equivalent combination of education, military, and work experience What would be great to have: DB2 experience with Windows and AIX platforms Experience with other database systems (e.g., Oracle, MySQL) and platforms Knowledge of cloud-based database solutions (e.g., AWS RDS, Azure SQL Database) Familiarity with virtualization technologies (e.g., VMware) Experience with database clustering and high availability solutions Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.

Date live: 06/06/2025 Business Area: GTIS Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000035866 Be a part of a place where challenges are measured in billions, qubits and nanoseconds. Build your career in an environment where we’re advancing machine learning, leveraging blockchains, and harnessing FinTech. Working in Barclays technology, you’ll reimagine possibilities: learning and innovating to solve the challenges ahead, delivering for millions of customers. We are shaping the future of financial technology. Why not join us and make it happen here? Join us as a MSSQL Database-Site Reliability Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a MSSQL Database-Site Reliability Engineer you should have experience with: Experience with setup/configuration/support of SQL Server 2014,2016, 2017, 2019, 2022. Proven track record of implementing and leading SRE practices across large organizations or complex teams. Expert-level knowledge of telemetry, monitoring, and platform observability tooling (e.g. ESAAS etc) with experience in customizing and scaling these solutions. Experience in implementing modern DevOps and SRE practices in enterprise environments. Proven expertise in SQL query optimization and database performance tuning at scale. Experience with DevOps automation tools such as Code versioning (git), JIRA, Ansible, Containers and Kubernetes , database CI/CD tools and their implementation. Hands-on as DevOps on Ansible, Powershell, T SQL coding. Experience configuring and all components of the MS SQL set Core DB engine and SSRS, SSAS, SSIS, Replication topologies, AlwaysOn, Service Broker, Log Shipping, Database Snapshots etc and Windows Clustering. Must have extensive experience as Production support SQL Server DBA - strong experience in large, high volume and high criticality environments. Database maintenance and troubleshooting. Must exhibit in-depth expertise in solving database contention problems (dead locks, blocking etc). Demonstrate extensive expertise in performance tuning including both query and server optimization. Expert knowledge of backup and recovery. Good knowledge on PowerShell scripting. The resource would be handling major escalated incidents, complex problem record. This includes periodic review of systems, capacity management, on boarding new services, patching coordination & maintain good health of these. Take responsibility for completing tasks, focusing on requirements and planning to meet client needs, which the job holder helps to identify, advise and recommend technical solutions based on experience and Industry knowledge. Driving Automations agenda - Identifying the possibility of automation in database area and work to deliver it. Some other highly valued skills may include: Desirable experience on database automation will be preferred. Strong skills in designing and delivering platforms to hosts SQL server, covering HA and DR, at Enterprise scale. Experience with tape backup tools like TSM/TDP/DDBoost/BoostFs/Rubrik etc. Knowledge of the ITIL framework, vocabulary and best practices. Understanding of Cloud Based Computing particularly RDS\Azure. Expert in system configuration management tools such as Chef, Ansible for database server configurations. Expert expertise with scripting languages (e.g. PowerShell) for automation/migration tasks. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Chennai. Purpose of the role To apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them. Accountabilities Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning. Resolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring. Development of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience. Monitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning. Collaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations. Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Who succeeds in Tech at Barclays? For a career with us, you need to be prepared to take big steps forward, curious to face the challenges ahead, and driven to focus on the outcomes. We need people with the Barclays mindset to make it happen here. What you'll get in return Competitive holiday allowance Life assurance Private medical care Pension contribution Our technology Supporting our 48 million customers and clients worldwide takes a lot of forward thinking. It means harnessing technology to support the economy. It means making a difference to people’s lives. And it requires the maintenance and development of a global, technological infrastructure. At Barclays, technology helps us keep transactions moving, manages data, and protects our customers. Join a world where your work creates unique moments of impact. Make it happen here. This is Barclays Chennai Barclays Chennai is one of our key strategic locations. It’s home to over 5,000 talented and passionate Barclays colleagues, across Finance, HR, operational and technology functions ensuring the bank’s technology and infrastructure runs smoothly. A workplace of the future Your wellbeing Your commute More than just a workplace Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

Job Description Proactively explore datasets to identify hidden patterns, emerging trends, and key insights Employ data mining techniques to extract relevant features from raw data, creating new variables that improve the performance of analytical models and uncover hidden patterns. Use segmentation and clustering algorithms to identify distinct customer groups or market segments, enabling targeted marketing campaigns and personalized customer experiences. Apply predictive modeling techniques to uncover patterns and trends, validate model performance, and translate complex modeling output into clear, actionable recommendations for business improvement. Implement rigorous data quality checks and validation processes to ensure the accuracy, completeness, and integrity of data used for analysis and reporting, maintaining the reliability of insights and recommendations. Create BI/Visualization dashboards using Power BI/Qlik/other to visualize insights, trends and patterns Collaborate with technical stakeholders such as data architects, data modelers, enterprise architects, project managers, and platform architects to implement the large-scale data analytics and BI solution. Drive resolution of issues and ensure alignment across stakeholders, contributing to the overall data-driven culture of the organization. Responsibilities Proactively explore datasets to identify hidden patterns, emerging trends, and key insights Employ data mining techniques to extract relevant features from raw data, creating new variables that improve the performance of analytical models and uncover hidden patterns. Use segmentation and clustering algorithms to identify distinct customer groups or market segments, enabling targeted marketing campaigns and personalized customer experiences. Apply predictive modeling techniques to uncover patterns and trends, validate model performance, and translate complex modeling output into clear, actionable recommendations for business improvement. Implement rigorous data quality checks and validation processes to ensure the accuracy, completeness, and integrity of data used for analysis and reporting, maintaining the reliability of insights and recommendations. Create BI/Visualization dashboards using Power BI/Qlik/other to visualize insights, trends and patterns Collaborate with technical stakeholders such as data architects, data modelers, enterprise architects, project managers, and platform architects to implement the large-scale data analytics and BI solution. Drive resolution of issues and ensure alignment across stakeholders, contributing to the overall data-driven culture of the organization. Qualifications Bachelor's degree in Data Science, Data Analytics, Computer Science, Statistics, Economics or a related field. 3+ years writing complex SQL Queries, Python, R, Dynamic queries, and database objects such as Stored Procedures, Functions, Packages, and triggers as well as working with large data sets. 2+ years experience in Google Big Query and Google Cloud Platform. 1+ year experience on BI solutions using Power BI/Looker /Looker Studio/Qlik Experience in engaging in discussions focused on analytics implementation, customization, and automation of data collection processes. Excellent problem-solving and analytical skills. Detailed oriented with strong communication and collaboration skills. Ability to work independently and as part of a team. Must be able to manage time effectively within a complex environment, and always remain composed in the event of conflicting priorities. Show more Show less

Job Description In this Role, Your Responsibilities Will Be: Determine coding design requirements from function and detailed specification o Analyze software bugs and affect code repairs Design, develop, and deliver specified software features Produce usable documentation and test procedures Deal directly with the end clients to assist in software validation and deployment Explore and evaluate opportunities to integrate AI/ML capabilities into the LMS suite, particularly for predictive analytics, optimization, and automation. Who You Are: You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach. For This Role, You Will Need: BS in Computer Science, Engineering, Mathematics or technical equivalent 2 to 7 years of experience required. Strong problem solving skills Strong Programming Skills (.NET stack, C#, ASP.NET, Web Development technologies, HTML/5, Javascript, WCF, MS SQLServer Transact-SQL). Strong communication skills (client facing). Flexibility to work harmoniously with a small development team. Familiarity with AI/ML concepts and techniques, including traditional machine learning algorithms (e.g., regression, classification, clustering) and modern Large Language Models (LLMs). Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience in developing and deploying machine learning models. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Preferred Qualifications that Set You Apart: Experience with liquid pipeline operations or volumetric accounting a plus Knowledge of oil and gas pipeline industry, also a plus. Experience with cloud-based AI/ML services (e.g., Azure Machine Learning, AWS SageMaker, Google Cloud AI Platform) is a plus. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please. 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We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be comfortable working across data engineering, ML model lifecycle, and cloud-native technologies. Job Description: Key Responsibilities: Data Engineering & Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. Machine Learning Model Development & Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. MLOps & Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. Cloud & Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. Business Impact & Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications & Skills: Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: Experience: 5-10 years with the mentioned skillset & relevant hands-on experience Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: Experience with Graph ML, reinforcement learning, or causal inference modeling. Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. Experience with distributed computing frameworks (Spark, Dask, Ray). Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

We're Hiring! Our Client, one of the leading global financial services firms providing a wide range of investment banking, securities, investment management and wealth management services. The ideal candidate will be familiar with the full software design life cycle. Support Analyst Years of Experience : 7 to 10 years Location - Chennai Joining : Only immediate joiner to Serving Notice Direct Responsibilities 6+ year experience in a support role. Experience in a technology change management capacity, preferably in the Financial services industry 3+ year experience with Microsoft products such as SQL Administrations - Install and manage multiple SQL Server instances in a clustered environment, SQL replication, SQL Reporting and Analysis Services (ability to read and write TSQL ) IIS administration Windows server administration Windows work station administration Microsoft Office Products Managing MSMQ Technical & Behavioral Competencies: Experience in organisations using some/ most of the following: Microsoft Sql Server (DBA & Scripting) .Net BizTalk Active Directory services DNS Windows clustering administration Web services VMWare IBM MQ CyberArk SharePoint Scripting languages - Powershell, command shell Terminal Server/ Citrix or AppV Administration DevOps /Agile / Continuous Integration /TFS Service Now Financial (vendor) applications such as Hiport pControl Interested professionals kindly forward your updated CV to below mentioned email id Thanks and Regards, Sarulatha L Senior Executive - Talent Acquisition Teamware Solutions a division of Quantum Leap Consulting Pvt Ltd. Chennai E: sarulatha.l@twsol.com Show more Show less

FORD Requirement - Order Number: 33929-26 L PA Chennai - Contract - Non-Hacker rank Notice Period - Immediate Joiners / serving upto 30 days Position Title: Specialty Development Consultant Duration: 658 days Interview Required: N Estimated Regular Hours: 40 Estimated Overtime Hours: 0 Division: Global Data Insight & Analytics Position Description > Train, Build and Deploy ML, DL Models > Software development using Python, > work with Tech Anchors, Product Managers and the Team internally and across other Teams > Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end > Software development using TDD approach > Experience using GCP products & services > Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Skills Required 3+ years of experience in Python software development 3+ years’ experience in Cloud technologies & services, preferably GCP 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. 3+ years’ experience with Python, SQL, BQ. Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Skills Preferred Good Communication, Presentation and Collaboration Skills Experience Required 2 to 5 yrs Experience Preferred GCP products & services Education Required BE, BTech, MCA, M.Sc, ME Education Preferred Additional Information: HackerRank Test on Python, Cloud and Machine Learning is must. Skills: ml,cicd,bigquery,pytorch,python,sonarqube,kubernetes,gcp looker,scikit learn,tekton,gcs,cloud,vertex ai,gcp,tensorflow,datarobots,openshift,sql,cloud technologies,airflow,statistical methods,terraform Show more Show less

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance Show more Show less

JD Summary The Server and VMware L3 Engineer is responsible for the design, implementation, management, and troubleshooting of the server infrastructure and VMware virtualization environment. This role requires advanced expertise in server management, virtualization technologies, and a strong focus on maintaining high availability, security, and performance of the infrastructure Key Responsibilities Server Management Design, configure, and maintain physical and virtual server environments. Perform server installations, upgrades, and patches. Monitor server performance, troubleshoot issues, and optimize performance. Configuration and troubleshooting in AD, DNS and DHCP Configuration and troubleshooting in windows clustering and high availability Plan and execute windows upgrades and migrations. VMware Administration Design, implement, and manage VMware vSphere environments. Perform advanced troubleshooting and resolve complex VMware issues. Plan and execute VMware upgrades and migrations. Reviewing VMWare ESXi server performance Verifying VMWare ESXi server configuration Configuring VMWare ESXi for High Availability Infrastructure Design and Implementation Develop and implement server and virtualization infrastructure strategies. Create and maintain detailed documentation of the server and VMware environment. Evaluate and recommend new technologies to improve infrastructure performance and reliability. Security and Compliance Implement and manage security policies and procedures for server and virtualization environments. Conduct regular security assessments and vulnerability scans. Ensure compliance with industry standards and regulations. Backup and Disaster Recovery Design and manage backup and disaster recovery solutions for server and virtualization environments. Perform regular backup tests and ensure data integrity and availability. Automation and Scripting Develop and maintain scripts for automating server and VMware tasks (e.g., PowerShell, vSphere PowerCLI). Implement automation solutions to streamline operations and improve efficiency. Continual Service Improvement Planning and executions Monitoring and Reporting Implement monitoring solutions to proactively identify and resolve issues. Generate regular reports on infrastructure performance, capacity, and security. Preparation of RCA for Major Incidents Preparing, maintaining and updating of SOP and KB Articles Repeated Incident / Alert Analysis Drive the Incident / Problem / Change management with help of team Maintaining and updating of Infra AS IS / Infra Documents Mentoring and Support Provide technical guidance and mentorship to junior engineers (L1/L2). Assist with training and knowledge sharing within the team. Project Management Lead and participate in infrastructure-related projects, ensuring timely and successful completion. Coordinate with stakeholders to gather requirements and provide regular project updates. Qualifications Education Bachelor's degree in Technology or a related field. Relevant certifications (e.g., VCP, VCAP, MCSE, etc.), but this is not mandatory criteria. Experience Minimum of 8-10 years of experience in server administration and VMware virtualization at an advanced level. Technical Skills Expertise in VMware vSphere, vCenter, and related technologies. Expertise AD, DNS and DHCP Strong knowledge of Windows and ESXi server administration. Experience with SAN/NAS storage solutions and their integration with VMware. Proficiency with backup and disaster recovery solutions (e.g., Veeam, Veritas). Familiarity with cloud platforms (e.g., AWS, Azure) and hybrid cloud environments. Knowledge of scripting and automation skills (e.g., PowerShell, PowerCLI). Expertise in windows clustering ITSM tools hands on for processes of Incident / Problem / Change management Datacenter process knowledge Knowledge of Service improvement Plan Performance tuning implementation suggested by OEM or product vendor VMware and Hyper-V Hotfix installation Planning and execution of DR Drills based on availability of DR setup and recovery procedures Knowledge of Service improvement Plan Soft Skills Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Detail-oriented and organized. Working Conditions May require occasional on-call support and availability outside of regular business hours. May involve lifting and transporting server and network equipment. WORK LOCATION Noida (Client premises) Show more Show less

Join us as a MSSQL Database-Site Reliability Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a MSSQL Database-Site Reliability Engineer you should have experience with: Experience with setup/configuration/support of SQL Server 2014,2016, 2017, 2019, 2022. Proven track record of implementing and leading SRE practices across large organizations or complex teams. Expert-level knowledge of telemetry, monitoring, and platform observability tooling (e.g. ESAAS etc) with experience in customizing and scaling these solutions. Experience in implementing modern DevOps and SRE practices in enterprise environments. Proven expertise in SQL query optimization and database performance tuning at scale. Experience with DevOps automation tools such as Code versioning (git), JIRA, Ansible, Containers and Kubernetes , database CI/CD tools and their implementation. Hands-on as DevOps on Ansible, Powershell, T SQL coding. Experience configuring and all components of the MS SQL set Core DB engine and SSRS, SSAS, SSIS, Replication topologies, AlwaysOn, Service Broker, Log Shipping, Database Snapshots etc and Windows Clustering. Must have extensive experience as Production support SQL Server DBA - strong experience in large, high volume and high criticality environments. Database maintenance and troubleshooting. Must exhibit in-depth expertise in solving database contention problems (dead locks, blocking etc). Demonstrate extensive expertise in performance tuning including both query and server optimization. Expert knowledge of backup and recovery. Good knowledge on PowerShell scripting. The resource would be handling major escalated incidents, complex problem record. This includes periodic review of systems, capacity management, on boarding new services, patching coordination & maintain good health of these. Take responsibility for completing tasks, focusing on requirements and planning to meet client needs, which the job holder helps to identify, advise and recommend technical solutions based on experience and Industry knowledge. Driving Automations agenda - Identifying the possibility of automation in database area and work to deliver it. Some Other Highly Valued Skills May Include Desirable experience on database automation will be preferred. Strong skills in designing and delivering platforms to hosts SQL server, covering HA and DR, at Enterprise scale. Experience with tape backup tools like TSM/TDP/DDBoost/BoostFs/Rubrik etc. Knowledge of the ITIL framework, vocabulary and best practices. Understanding of Cloud Based Computing particularly RDS\Azure. Expert in system configuration management tools such as Chef, Ansible for database server configurations. Expert expertise with scripting languages (e.g. PowerShell) for automation/migration tasks. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Chennai. Purpose of the role To apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them. Accountabilities Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning. Resolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring. Development of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience. Monitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning. Collaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations. Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Show more Show less

Join us as a MSSQL Database-Site Reliability Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a MSSQL Database-Site Reliability Engineer you should have experience with: Experience with setup/configuration/support of SQL Server 2014,2016, 2017, 2019, 2022. Proven track record of implementing and leading SRE practices across large organizations or complex teams. Expert-level knowledge of telemetry, monitoring, and platform observability tooling (e.g. ESAAS etc) with experience in customizing and scaling these solutions. Experience in implementing modern DevOps and SRE practices in enterprise environments. Proven expertise in SQL query optimization and database performance tuning at scale. Experience with DevOps automation tools such as Code versioning (git), JIRA, Ansible, Containers and Kubernetes , database CI/CD tools and their implementation. Hands-on as DevOps on Ansible, Powershell, T SQL coding. Experience configuring and all components of the MS SQL set Core DB engine and SSRS, SSAS, SSIS, Replication topologies, AlwaysOn, Service Broker, Log Shipping, Database Snapshots etc and Windows Clustering. Must have extensive experience as Production support SQL Server DBA - strong experience in large, high volume and high criticality environments. Database maintenance and troubleshooting. Must exhibit in-depth expertise in solving database contention problems (dead locks, blocking etc). Demonstrate extensive expertise in performance tuning including both query and server optimization. Expert knowledge of backup and recovery. Good knowledge on PowerShell scripting. The resource would be handling major escalated incidents, complex problem record. This includes periodic review of systems, capacity management, on boarding new services, patching coordination & maintain good health of these. Take responsibility for completing tasks, focusing on requirements and planning to meet client needs, which the job holder helps to identify, advise and recommend technical solutions based on experience and Industry knowledge. Driving Automations agenda - Identifying the possibility of automation in database area and work to deliver it. Some Other Highly Valued Skills May Include Desirable experience on database automation will be preferred. Strong skills in designing and delivering platforms to hosts SQL server, covering HA and DR, at Enterprise scale. Experience with tape backup tools like TSM/TDP/DDBoost/BoostFs/Rubrik etc. Knowledge of the ITIL framework, vocabulary and best practices. Understanding of Cloud Based Computing particularly RDS\Azure. Expert in system configuration management tools such as Chef, Ansible for database server configurations. Expert expertise with scripting languages (e.g. PowerShell) for automation/migration tasks. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Chennai. Purpose of the role To apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them. Accountabilities Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning. Resolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring. Development of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience. Monitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning. Collaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations. Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less