India - Hyderabad JOB ID: R-209851 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 11, 2025 CATEGORY: Government Affairs 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. Data Scientist (US Value & Access Insights) What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: Ability to work on upgrades and manage the execution of Proprietary AI engine built to optimize Copay and other GTN initiatives Ensure models are trained with the latest data and meet the SLA expectations Act as a subject matter expert in solving development and commercial questions Work with a global cross functional team on the AI tool’s road map Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Model/analytics experiment and development pipeline leveraging MLOps. Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights. Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of computer science, statistics or STEM majors with a minimum of 1 year of Information Systems experience OR Bachelor’s degree and 3 to 5 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience OR Diploma and 7 to 9 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience Experience with one or more analytic software tools or languages like R and Python Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Preferred Qualifications: 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 Experience with data engineering and pipeline development Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Professional Certifications : Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems. Skilled in breaking down problems, documenting problem statements, and estimating efforts. Excellent analytical and troubleshooting 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 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. for a career that defies imagination Objects in your future are closer than they appear. Join us. 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.

India - Hyderabad JOB ID: R-208778 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Feb. 28, 2025 CATEGORY: Information Systems ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: The Data Scientist is responsible for developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves leveraging data science techniques to analyze security data, detect threats, and automate security processes. The Data Scientist will work closely with cybersecurity teams to identify data-driven automation opportunities, strengthening the organization’s security posture. Roles & Responsibilities: Develop analytics to address security concerns, enhancements, and capabilities to improve the organization's security posture. Collaborate with Data Engineers to translate security-focused algorithms into effective solutions. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify security patterns and anomalies. Design and implement security-focused analytics pipelines leveraging MLOps practices. Collaborate with data engineers on data quality assessment, data cleansing, and the development of security-related data pipelines. Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient security analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members practicing SAFe Agile delivery model. Functional Skills: Basic Qualifications: Master’s degree and 1 to 3 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR Bachelor’s degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR Diploma and 7 to 9 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Preferred Qualifications: Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Good-to-Have Skills: 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 Experience with data engineering and pipeline development Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications in cybersecurity and data analysis Experience working in Product team's environment Experience working in an Agile environment Professional Certifications: Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Any SAFe Agile certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems Skilled in breaking down problems, documenting problem statements, and estimating efforts Excellent analytical and troubleshooting 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 EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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. for a career that defies imagination Objects in your future are closer than they appear. Join us. 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.

India - Hyderabad JOB ID: R-212723 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 09, 2025 CATEGORY: Finance Let’s do this. Let’s change the world. In this vital role you will support the Finance Corporate Services teams, including Global Meetings Management, Global Travel & Expense, Global Learning Solutions, Payroll, and Treasury. This role will be responsible for completing data collection, aggregation, and report development to support business leaders in tracking key performance measurements and service delivery effectiveness. Reporting to the Data Analytics & Automation Manager, this individual will play a critical role in creating and maintaining performance management dashboards and automation solutions. They will assist in analyzing data to identify trends, support investigations, and uncover opportunities for improvement in execution. The Sr. Associate will also work closely with the Corporate Services Product Team to ensure data connectivity and IT governance compliance. A successful candidate will be comfortable completing tasks under the guidance of leadership, compiling data-driven insights, and contributing to projects (long and short-term) that enhance business functions. They will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests. Design and develop visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Apply tools such as Tableau, Power BI, and Smartsheet to create effective reporting solutions, ensuring data accuracy and integrity. Complete and implement automation solutions to enhance efficiency and reduce manual effort, leveraging tools such as Power Automate, Power Apps, Power Query, Tableau, Smartsheet, and SharePoint. Build and maintain data pipelines, queries, and reports to support strategic decision-making, business operations, and ad hoc analytics requests. Collect, aggregate, and analyze data from multiple systems and data warehouses (e.g., Cvent, Concur, SAP) to deliver actionable insights and drive improvements in execution. Support AI automation initiatives, including the maintenance of intake and AI self-service platforms like ServiceNow, while finding opportunities for AI-driven process enhancements. Ensure seamless data integration and system configurations in collaboration with Technology teams, enforcing data governance policies and standardized data connectivity. Proactively identify trends, conduct investigations, and provide data-driven recommendations to functional leaders to improve business performance and operational efficiency. Prepare recurring reports and dashboards, including monthly, quarterly, and annual performance measurements for Corporate Services leadership. Develop and optimize data analytic queries, standardized/custom report layouts, and a library of executive report formats to align reporting processes with business objectives. Apply data science methodologies, including regression, classification, clustering, and predictive modeling, to enhance reporting and analytics capabilities. Conduct in-depth, ad hoc analyses to investigate operational challenges and provide data-driven insights. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications. Basic Qualifications: Bachelor’s degree and 0 to 3 years of Data Analytics, Computer Science, or a related field of data analysis, automation or business intelligence experience OR Diploma and 4 to 7 years of Data Analytics, Computer Science, or a related field of data analysis, automation or business intelligence experience Preferred Qualifications: Experience with data analytics, reporting tools, and automation solutions. Strong skills in data visualization and dashboard creation (e.g., Power BI, Tableau). Proficiency in SQL and NoSQL databases, including relational table design, indexing strategies, and writing complex queries, with experience handling big data models, data lakes, and distributed computing frameworks. Ability to work with large datasets and extract meaningful insights. Proficiency in data analytics and visualization tools Expertise in automation platforms and workflows, including Microsoft Power Platform (Power Automate, Power Query, Power Apps, SharePoint, and Pages) to streamline processes and improve efficiency. Experience in programming languages such as Python, R, and JSON for data processing, automation, and analytics. Experience with AI-driven analytics and large language models (LLMs) to enhance data insights and automation capabilities. Experience working with self-service platforms such as ServiceNow to support business functions and automation. Understanding of enterprise data governance principles to ensure data accuracy, integrity, and compliance across reporting and automation systems. Familiarity with additional automation tools, such as UiPath and emerging AI technologies, to drive process optimization. Strong data visualization and storytelling skills, with the ability to translate complex data into meaningful dashboards, executive reports, and infographics. Knowledge of statistical techniques, including regression, clustering, and classification, as well as data discovery and visualization methods such as distributions, histograms, and bar charts. Demonstrable ability to take initiative and complete projects independently, while effectively collaborating across teams and influencing without direct authority. Solid attention to detail and ability to manage multiple tasks effectively. Good communication skills, with the ability to communicate insights clearly to leadership and coordinate multi-functional data requests and updates. 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

Project Role : Operations Engineer Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement. Must have skills : Microsoft Windows Server Administration Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Operations Engineer, you will support the operations and/or manage delivery of production systems and services based on operational requirements and service agreement. Your typical day will involve ensuring the smooth functioning of production systems and services, addressing operational requirements, and adhering to service agreements. Roles & Responsibilities: 1. Windows Clustering • Setup and Configuration • Cluster Monitoring • Failover management • Resource management • Vertical and Horizontal Scaling • Troubleshoot issues 2. Windows storage management skills 3. Microsoft Windows Server Administration (OS Windows 2016, 2019, 2022) 4. Required active participation/contribution in team discussions. 5. Manage and monitor production systems to ensure optimal performance. 6. Maintain SLA. 7. Implement and maintain system configurations. 8. Inter and Intra team Collaborations for service delivery. 9. Document operational processes and procedures for future reference. Professional & Technical Skills: • Strong knowledge of Windows Clusters hosted on Public and Private cloud infrastructures. • Strong skill to read cluster logs, diagnose and resolve problems related to cluster communication, storage access, and application failover. Understanding of storage technologies and how to configure shared storage for a cluster. • Operational Knowledge of Public Cloud Technologies – AWS / Azure / OCI • Must Have Skills: Proficiency in Microsoft Windows Server Administration. • Strong understanding of system administration principles. • Experience with system monitoring and performance tuning. • Knowledge of network protocols and security measures. • Good To Have Skills: Experience with cloud platforms like Azure or AWS. Additional Information: • The candidate should have a minimum of 3 years of experience in Microsoft Windows Server Administration. • Team Player, Good Communication skills, Ability to multitask and adapt to shifting priorities, 24X7 • A 15 year full-time education is required. 15 years full time education

Educational Qualification:- Bachelor of Technology in Computer Science or related field Years of Experience : 8 - 12 Years Location:- Kochi (Work From Office) Required Skills: 8 + years of software development experience with at least 4+ years of experience as a full-time data scientist, machine learning researcher, or machine learning engineer Fluency in R, Python, and experience with common data science libraries, such as Pandas, numpy, and scikit-learn Experience using neural networks and/or Deep Learning techniques and relevant Python platforms/APIs such as Tensorflow, PyTorch, and Keras in a production setting Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library) Experience with SQL databases and SQL queries Self-starting, with the interest and passion to contribute in a fast-paced start-up like environment Experience working on or with cloud platforms (AWS, GCP, Azure) Roles and Responsibilities Build, deploy, monitor, and manage Machine Learning models Identify valuable input features and implement a means for calculating them (feature engineering) Investigate, clean, analyze, and otherwise prepare new data sources for use in higher- order analysis or as input into model features Data analysis and presentation using data visualization techniques, sometimes to broader audiences within or outside of Terawe Transition models from research to production, working with Data Engineers Fine-tune model performance in a production setting using adaptive/incremental machine learning techniques Map customer and/or product requirements to correct modeling, analysis, and/or visualization approaches Recommend ways to improve data reliability and quality and implement them Collaborate with Product development team to plan new features Terawe is an IT solutions and services form, based in Bellevue, WA USA, with offices in India, Australia, Canada and Ireland. We are focused on developing industry wide solutions on cloud infrastructure, productivity, data platforms and artificial intelligence across multiple verticals such as Retail, Education, Finance, Manufacturing and Healthcare, and work closely with several enterprise customers globally. https://www.terawe.com/ Job Types: Full-time, Permanent Pay: ₹1,800,000.00 - ₹2,400,000.00 per month Work Location: In person

Requisition Id : 1611940 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your key responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible Show more Show less

Qualifications ● 4 + years in data science or machine-learning roles (NLP or time-series a plus). ● Hands-on with clustering, anomaly detection, and causal-inference techniques. ● Strong Python (pandas, scikit-learn, PyTorch/TensorFlow) and solid SQL. ● Experience turning notebooks into production jobs via Airflow, Flyte, or similar. ● Comfortable with vector databases and similarity search (Faiss, PGVector, etc.). ● You think in experiments, communicate results clearly, and love shipping incrementally. Key Responsibilities ● Pattern Discovery – Build unsupervised / semi-supervised models (HDBSCAN, metric learning, spectral, etc.) that group similar issues and surface them for human review. ● Trend Detection & Forecasting – Design change-point and anomaly detectors, then forecast issue volume with Prophet, NeuralProphet, or your tool of choice. ● Cross-Channel Correlation – Link signals across chat, email, voice, and social to reveal how pain points bounce between channels. ● Root-Cause & Prescriptive Modeling – Apply causal graphs or lightweight GNNs to suggest likely drivers and remediation actions. ● Active-Learning Loops – Create feedback workflows that let analysts merge/split clusters and continuously improve model accuracy. ● Experimentation & Metrics – Define success criteria, run controlled experiments, and publish clear, visual results for the team. ● Collaboration – Partner with the LLM, platform, and dashboard engineers to deliver end-to-end features—then measure the lift. Job Type: Full-time Pay: Up to ₹1,000,000.00 per year Benefits: Provident Fund Schedule: Morning shift Supplemental Pay: Performance bonus Experience: machine learning: 4 years (Preferred) data science: 4 years (Preferred) python: 2 years (Required) Work Location: In person

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

V-ACCEL AI DYNAMICS PVT. LTD. Job Title: AI/ML Engineer Experience: 2-3 Years Location: Tidel Park, Chennai Interview Mode: F2F Job Summary: We are looking for a dynamic AI/ML Engineer with 2–3 years of hands-on experience in machine learning, analytics, and AI automation. The ideal candidate has practical exposure to Agentic AI systems, strong data analytics capabilities, and experience using n8n to build intelligent, event-driven workflows. You will play a critical role in developing AI solutions that power our next-gen SaaS products. This position offers a unique opportunity to work at the intersection of automation, machine learning, and intelligent agents within a high-impact, innovation-driven environment. Key Responsibilities ● Design, develop, and deploy machine learning models for classification, regression, clustering, and other predictive tasks. ● Build and maintain scalable data pipelines; conduct exploratory data analysis (EDA) to derive actionable business insights. ● Architect and implement agentic AI workflows, integrating vector databases and memory modules to enhance system intelligence. ● Develop event-driven automation using n8n, integrating third-party APIs, webhooks, and custom scripts. ● Collaborate with frontend and backend development teams to integrate ML models and AI functionalities into production-grade SaaS applications. Tech Stack & Tools Programming & ML Frameworks: ● Python (Core Language) ● scikit-learn, TensorFlow, PyTorch ● Pandas, NumPy, StatsModels Automation & Agentic AI: ● n8n (Workflow Automation) ● LangChain, AutoGen, CrewAI (Agent Frameworks) ● OpenAI, Gemini, Claude (LLM Providers) Vector & Relational Databases: ● Pinecone, Weaviate, Chroma ● PostgreSQL, MongoDB, MySQL Data & Visualization: ● SQL, Power BI, Tableau ● Matplotlib, Seaborn API & Cloud Integration: ● RESTful APIs, Webhooks, Postman ● AWS (S3, Lambda, EC2), GCP, Azure (Basic Familiarity) DevOps & Deployment (Optional but Preferred): ● Docker, GitHub Actions, Jenkins (Basic CI/CD) ● Streamlit, FastAPI (for ML API deployment) Preferred Qualifications ● Experience with Retrieval-Augmented Generation (RAG) techniques. ● Prior involvement in building SaaS platforms or AI-powered products. ● Familiarity with collaboration tools such as Jira, Notion, or similar. Why Join Us ● Be part of an innovation-led startup shaping the future of AI automation. ● Lead critical AI modules with real-world business impact. ● Thrive in a fast-paced, collaborative environment focused on continuous learning and Job Types: Full-time, Permanent Schedule: Day shift Experience: AI/ML : 3 years (Required) Work Location: In person

Job Description GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply Gen AI, machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms and Gen-AI 3+ years of experience in at least one of the following languages: Python, R Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Show more Show less

Job ID: 30062 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 30 May 2025 Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Key Responsibilities Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology 8- 12 years relevant of Hands-on Experience About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Job ID: 30049 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 30 May 2025 Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Key Responsibilities Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology with certification in AI and ML 4-8 years relevant of Hands-on Experience in developing and delivering AI solutions About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Job ID: 30050 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 30 May 2025 Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Key Responsibilities Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology with certification in AI and ML 2-4 years relevant of Hands-on Experience in developing and delivering AI solutions About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Req ID: 326933 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Engineering Lead Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Preferred Experience: Thorough technical knowledge of Linux/UNIX/AIX platforms (Ubuntu, RHEL/SuSE). Must be able to demonstrate deep technical troubleshooting and problem-solving skills. Expertise in UNIX heterogeneous platform environments, including Clustering, Backup operations, Patching and Activation, Technical skills in Network components are preferred (DNS, DHCP, TCP). Good fundamentals and technical hands-on experience in Linux/UNIX/AIX troubleshooting. Willingness to develop strong competencies in Linux/UNIX/AIX platform support. Knowledge of Shell scripting / Python/Ansible will be a plus. Excellent understanding of ITSM\ITIL processes and certification will be added advantage. Good communication, team building, and interpersonal skill are mandatory. Knowledge and experience in Migration methodologies and Migration tools like Double Take and other related industry-wide deployment/migration tools. Knowledge in Linux VHS V2V - Vmotion and Solaris Zones migration from SHS to SHS is preferred, Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Shell scripting and automation experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Run-books Passion for delivering timely and outstanding customer service Able to Help L1 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 7+ years of overall operational experience 3+ years of AWS/Azure experience 3+ years of experience working in a diverse cloud support environment in a 24*7 production support model Preferred Certifications: AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications GCP Cloud Engineer About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Req ID: 326934 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Linux/UNIX/AIX Lead Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Preferred Experience: Thorough technical knowledge of Linux/UNIX/AIX platforms (Ubuntu, RHEL/SuSE). Must be able to demonstrate deep technical troubleshooting and problem-solving skills. Expertise in UNIX heterogeneous platform environments, including Clustering, Backup operations, Patching and Activation, Technical skills in Network components are preferred (DNS, DHCP, TCP). Good fundamentals and technical hands-on experience in Linux/UNIX/AIX troubleshooting. Willingness to develop strong competencies in Linux/UNIX/AIX platform support. Knowledge of Shell scripting / Python/Ansible will be a plus. Excellent understanding of ITSM\ITIL processes and certification will be added advantage. Good communication, team building, and interpersonal skill are mandatory. Knowledge and experience in Migration methodologies and Migration tools like Double Take and other related industry-wide deployment/migration tools. Knowledge in Linux VHS V2V - Vmotion and Solaris Zones migration from SHS to SHS is preferred, Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Shell scripting and automation experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Run-books Passion for delivering timely and outstanding customer service Able to Help L1 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 7+ years of overall operational experience 3+ years of AWS/Azure experience 3+ years of experience working in a diverse cloud support environment in a 24*7 production support model Preferred Certifications: AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications GCP Cloud Engineer About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Position: AI/ML Lead (CE80SF RM 3261) Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios Technical Skills required: Solid Experience in Time Series Analysis, Anomaly Detection and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), • Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Candidate Roles and Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: Noida Experience: 8+ years Notice period: 0-15 days

Position: AI/ML Developer (CE58SF RM 3260) Candidate Roles and Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Technical Skills required: Solid Experience in Time Series Analysis, Anomaly Detection and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. ******************************************************************************************************************************************* Job Category: Embedded HW_SW Job Type: Full Time Job Location: AhmedabadIndorePune Experience: 5 - 8 Years Notice period: 0-15 days

Work Location: Vadodara, Ahmedabad, Bangalore, Hyderabad Experience: - 7+ Years Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN. Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred. Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Kind Regards, Pranita Birla Senior Talent Acquisition Partner | Rishabh Software Job Type: Full-time Pay: ₹2,000,000.00 - ₹4,000,000.00 per year Schedule: Day shift Ability to commute/relocate: Bodakdev, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Role: Manager / Sr Manager Server Location: Gurugram Mode: Work from office Key Responsibilities The candidate will be responsible for Technology Services including Infrastructure and Operations Management. He should be technically proficient in server technology, Network, SAN management, databases, data center management, license management. This is a individual contributor role Strong Hands-On experience on the following technologies but not limited to Azure Active Directory , DHCP , DNS , Data center Office 365, SSO and SAML integration Virtualization & Hosting (VMware, Hypervisor) Zscaler & Netskope (Good to have ) On Prem to cloud migration MDM Tools (Good to have ) Required Skills & Experience 10+ years in IT Infrastructure At least 4 years of End user applications support experience in a professional services environment. Strong customer service focus and experience Project management /Implementation skills In depth knowledge of managing Hybrid Data center primarily Microsoft Infrastructure. Strong experience in managing O365, designing and deploying solutions on Microsoft Azure platform, Good knowledge of Azure IaaS (VMs, VNET, VPN Gateways and Express Route). Experience in Migration of various on prem Infrastructure and IT services on Cloud (IAAS, PAAS, SAAS), Cloud Identity management, Integration of new applications into the cloud. Ability to lead and develop technical talent (performance management, coaching, mentoring). Strong understanding of VMware, Hypervisor, Clustering and DR. Ability to evaluate and leverage technology, industry, and competitive knowledge to apply the most current and appropriate ideas in a forward-looking manner to support the business. Deliver results in a fast-paced, deadline-driven environment that requires ability to handle multiple priorities simultaneously. Proven knowledge of data storage and backup solutions. Proven knowledge of security and compliance and Audits. Proven knowledge of systems monitoring tools (both on prem and cloud) Experience with Networking, application development, configuration, and deployment is a plus It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. Show more Show less

Summary Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to be able to work across various business domains. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. Independently manage budget, ensuring appropriate staffing and coordinating projects within the area. If managing a team: empowers the team and provides guidance and coaching, with initial guidance from more senior leaders supervised. This is usually their first people manager experience. About The Role Position Title : Manager Advanced Analytics Location – Hyd-India Hybrid About The Role Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various projects. Support and facilitate data enabled decision making internal customers using data analysis and data science techniques/methods on internal and external(3rd party) data to solve business problems Team NBS CONEXTS-I&CS business support in building capabilities by involving in various initiatives like knowledge sharing, on-boarding and training support, support in all business related tasks/activities, building process documentation and knowledge repositories Your responsibilities include but are not limited to Delivering projects and leading internal customer expectations across multi-channel marketing analytics, Portfolio Analytics, Targeting and Segmentation, Predictive Analytics, Resource Allocation and Optimization Build and deliver customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc.) and drive excellent customer satisfaction. Deliver advanced analytical and statistical solutions for various projects related to promotion evaluation, multi-channel marketing (MCM) campaign design, return on investment (value) analysis, resource allocation, segmentation, targeting, and other ad-hoc business questions Support exploratory research to identify new areas of application of advanced analytics/data science in providing improved decision-making support. Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services. Automation of project codes and development of front-end delivery solutions. Support in creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs within the function. Support in developing and maintaining knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc. Support team leaders in recruitment and on-boarding of new associates within the organization. Participate in various knowledge sharing sessions that enables growth and improves quality of NBS CONEXTS deliverables across the function. Align with all internal functional operating procedures like time tracking, critical metric tracking and reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal/IT/HR requirements. What You’ll Bring To The Role Deriving impactful strategies by defining clear category objectives, working with analytical data, business partners and market expertise. Aligning strategies to measurable target and clearly conveying them to the organization. Should have strong quantitative and systems background. Strong analytical thinking with problem solving approach and good ability to understand new data sources in short timeframe and embed them into standard analyses. Good understanding of pharmaceutical domain and data would be ideal. Strong partner leadership skills and ability to work with multiple partners. Should have worked in an international/Global company with exposure to working in cross-cultural environment. Strong and proactive business results-focus, and proven track record to provide insights that increase efficiency. Hands on to Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting o Good to have: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization Hands on to Project Management, Solid understanding of MS-Office (MS Excel, VBA, PowerPoint, Access), Learning agility, Pharmaceutical industry domain/datasets knowledge – desirable Desirable Requirements University/Advanced degree in Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, is preferable. Min 5+ years of hands-on experience in analytics in marketing analytics and experience in pharma industry is preferable. Statistical Modeling/Machine Learning techniques like Regression (esp, GLM, non-linear, etc.). experience in any one of R or Python and exposure to SAS and SQL. Familiarity with Alteryx will be a bonus. Visualization tools – Qlikview, Qliksense, Tableau. Why Novartis Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, Join the Novartis Network here: https://talentnetwork.novartis.com/network. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Skill required: Marketing Operations - Customer Insight & Marketing Analytics Designation: Analytics and Modeling Associate Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services. Role requires Digital Marketing Ads & Promotion creation/design As an Insights analyst you will play a pivotal role in driving data-driven marketing strategies. You will be responsible for analyzing marketing data, identifying trends, and providing valuable insights to optimize marketing campaigns, improve customer targeting, and enhance overall business performance. This role involves collaborating with cross-functional teams and deriving key insights from data and create a coherent story to answer business questions. Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for? 7- 10 years’ experience in digital or customer marketing, or digital analytics leadership with exposure to international clients Experience in Marketing ROI measurement techniques like marketing mix model, experimentation etc. Strong functional experience across a range of marketing activities and their related platforms and technologies, such as web analytics, experimentation, CRM, analytics implementation, campaigns and media, social media etc. Must have intermediate level understanding in Power BI, SQL, R, and/or Python and various modeling techniques. Working knowledge of Adobe/Google Analytics/GTM Strong problem-solving skills and attention to detail. Good communication skills with ability to manage client-facing responsibilities Ability to work collaboratively in a cross-functional team environment with Strong business acumen and the ability to connect data insights to strategic decision Ability to work with and lead large globally networked and virtual teams and able to work with multiple stakeholders E.g. delivery leads, account management, clients and operational excellence teams Certification in Adobe/Google Analytics or data visualization tools Understanding of technologies & principles required for implementation of AB Test Roles and Responsibilities: Analyze marketing data from various sources to identify key insights and trends. Manage strategic marketing analytics engagements –across digital marketing, customer analytics & social media Manage client relationship, shape analytics roadmap, manage execution of the initiatives and deliver business outcomes Deliver projects using advanced analytics and machine learning techniques like segmentation/clustering, recommendation engines, propensity models etc. to help clients drive better business outcomes, including improved user growth and revenue, enhanced marketing ROI, increased brand equity etc. Drive thought leadership and prospect new ways of applying digital analytics to make a business impact for clients. Lead and manage multi-functional teams to help clients evolve to data-driven marketing organizations Develop deep functional & industry expertise Any Graduation Show more Show less

Skill required: Marketing Operations - Customer Insight & Marketing Analytics Designation: Marketing Engagement Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? As an Insights analyst you will play a pivotal role in driving data-driven marketing strategies. You will be responsible for analyzing marketing data, identifying trends, and providing valuable insights to optimize marketing campaigns, improve customer targeting, and enhance overall business performance. This role involves collaborating with cross-functional teams and deriving key insights from data and create a coherent story to answer business questions. What are we looking for? 7- 10 years’ experience in digital or customer marketing, or digital analytics leadership with exposure to international clients Experience in Marketing ROI measurement techniques like marketing mix model, experimentation etc. Strong functional experience across a range of marketing activities and their related platforms and technologies, such as web analytics, experimentation, CRM, analytics implementation, campaigns and media, social media etc. Must have intermediate level understanding in Power BI, SQL, R, and/or Python and various modeling techniques. Working knowledge of Adobe/Google Analytics/GTM Strong problem-solving skills and attention to detail. Good communication skills with ability to manage client-facing responsibilities Ability to work collaboratively in a cross-functional team environment with Strong business acumen and the ability to connect data insights to strategic decision Ability to work with and lead large globally networked and virtual teams and able to work with multiple stakeholders E.g. delivery leads, account management, clients and operational excellence teams Certification in Adobe/Google Analytics or data visualization tools Understanding of technologies & principles required for implementation of AB Test Roles and Responsibilities: Analyze marketing data from various sources to identify key insights and trends. Manage strategic marketing analytics engagements –across digital marketing, customer analytics & social media Manage client relationship, shape analytics roadmap, manage execution of the initiatives and deliver business outcomes Deliver projects using advanced analytics and machine learning techniques like segmentation/clustering, recommendation engines, propensity models etc. to help clients drive better business outcomes, including improved user growth and revenue, enhanced marketing ROI, increased brand equity etc. Drive thought leadership and prospect new ways of applying digital analytics to make a business impact for clients. Lead and manage multi-functional teams to help clients evolve to data-driven marketing organizations Develop deep functional & industry expertise Any Graduation Show more Show less

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 Show more Show less

Senior. SQL Database administrator - Immediate Job Opportunity MSC Technology India Pvt Ltd Location: Yelahanka Bengaluru Direct Walk-in Interview Date: Wednesday & Thursday 4th & 5th June 2025 Time : 10:00 Am to 03:00 Pm Male candidates are only preferred currently, as there is need to work in Rotational shifts Candidates who are Interested to attend this Sr. SQL DBA Walk-in Interview, please share your updated resume to E-kalaivani.jayakumar@msc.com : 9750837262: Kalaivani Jayakumar Please carry: * Updated resume, *Passport size photo, *Address & ID proof, *Last 3 Months Pay slips, Last 6 Months Bank Statement and Current company Appointment *Letter, Latest Appraisal Letter (Break up)from your Current Company along with you. Please come in Formal Attire. Interview Venue: MSC Technology (India) Pvt Ltd RMZ Galleria, Ambedkar Colony, Yelahanka, Bengaluru, Karnataka 560065 Skill Set: SQL DBA, Performance tuning, Azure, and T-SQL/PowerShell Job description 4+ years of end-to-end experience in 24/7 Database administration of SQL Server 2017 plus. Good exposure to Administering Azure SQL Database . Basic knowledge of usage of Azure porta l and cloud terminology . Experience in managing and patching SQL Server Failover cluster and AlwaysOn . Experience in monitoring using Redgate , SQL Monitor or any equivalent tool. Experience in DBA routine task automation through PowerShell . Proven experience in troubleshooting high critical incidents and provide live performance optimization support . Proven knowledge in performance tuning and review code for tuning scope . Basic Experience in SSIS, SSRS and SSAS. Proven support with ITIL process with great dedication for SLA. Proven self-learning skills and thirst for doing POCs in new tools and features. Good interpersonal skills, team player and fully adaptable to changing environment. Work Location : Yelahanka, Bengaluru Work from office, Rotational shifts Education : UG & PG Engineering & IT Background Address: MSC Technology (India) Pvt Ltd RMZ Galleria, Ambedkar Colony, Yelahanka, Bengaluru, Karnataka 560065

Job Title: Senior Database Administrator (DBA) Location: Noida Experience: 7-8 Years Notice Period: 30 Days(Preferred Immediate Joiners) Employment Type: Full-time Job Summary: We are seeking an experienced Database Administrator (DBA) to manage and optimize our database systems across Oracle, MySQL, MS SQL, and Postgres SQL . The ideal candidate will ensure database performance, security, and availability while implementing best practices for data management. Key Responsibilities: Database Management: Install, configure, and maintain Oracle, MySQL, MS SQL, and PostgreSQL databases. Performance Optimization: Monitor and optimize database performance, indexing, and query tuning. Backup & Recovery: Implement robust backup and disaster recovery strategies. Security & Compliance: Ensure database security, access control, and compliance with industry standards. Troubleshooting: Diagnose and resolve database-related issues efficiently. Replication & High Availability: Configure database replication and clustering for high availability. Automation & Scripting: Develop automation scripts for database maintenance and monitoring. Collaboration: Work closely with developers, system administrators, and business teams to support database needs. Upgrades & Patching: Perform database upgrades, patches, and migrations as required. Required Skills & Qualifications: 7-8 years of experience in Oracle, MySQL, MS SQL, and PostgreSQL administration. Strong expertise in SQL tuning, indexing, and query optimization . Experience with database replication, clustering, and high availability solutions . Knowledge of backup strategies, disaster recovery, and failover mechanisms . Familiarity with cloud-based database solutions (AWS, Azure, GCP) is a plus. Proficiency in Linux and Windows server environments . Hands-on experience with automation tools (Shell scripting, Python, PowerShell) . Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Certifications: Oracle Certified DBA Microsoft SQL Server Certification MySQL Database Administrator Certification PostgreSQL Certified Professional Benefits: Competitive salary and performance-based incentives. Learning and development opportunities. Flexible work arrangements How to Apply: Interested Candidate can reach out through email at sonalisingh0802@gmail.com. Show more Show less