Overview: We are seeking a visionary Director of People Insights & AI Strategy to lead a cutting-edge, enterprise-wide approach to workforce intelligence. This leader will serve as a trusted advisor to the Executive Leadership Team (ELT) and the HR Senior Leadership Team (HRSLT) , translating data into bold strategies that shape talent decisions and business outcomes. In this role, you'll elevate our People Insights function into a strategic, AI-enabled powerhouse—embedding predictive, prescriptive, and generative analytics into how we manage, develop, and invest in our global workforce. From succession planning to workforce design, you will be the voice of data in the most critical talent and business conversations. Key Responsibilities: Strategic Executive Influence (30%) Deliver high-impact insights and advisory support to the ELT and HRSLT—shaping talent strategies, workforce investments, and organizational decisions with data-driven narratives and real-time analytics. AI-Driven Talent Intelligence (25%) Have experience with AI/ML solutions (e.g., talent segmentation, skills inference, generative AI for workforce planning) that anticipate trends, uncover risks, and identify opportunities for growth and optimization. Enterprise Decision Support (20%) Lead talent intelligence initiatives that inform M&A assessments, org design, strategic workforce planning, and culture evolution—connecting people data to business outcomes. Advanced People Analytics & Workday Integration (15%) Guide robust statistical and machine learning analyses (e.g., SEM, clustering, forecasting, predictive modeling). Bridge analytics platforms with Workday to extract and operationalize insights across the talent lifecycle. Global Team Leadership (10%) Lead and evolve the People Insights team into a world-class function. Champion a culture of data literacy across HR through tools, enablement, and strategic partnerships. Qualifications: 10–15 years of progressive experience in People Analytics, Data Science, Strategy, or Organizational Effectiveness with significant exposure to executive-level influence. 8+ years leading high-performing teams, ideally in a global, matrixed organization. Deep fluency with Workday—including data extraction, integration, and reporting—and the ability to bridge it with analytics tools and platforms. Proficiency in Python, R, SQL, Power BI/Tableau, and cloud environments (Azure, AWS, or GCP). Proven ability to communicate complex insights through clear storytelling that drives action at the highest levels. Key Skills Analytics, Change Management, Data Science, Generative AI, Leadership, Organizational Analytics, Organizational Development (OD), People Analytics, Talent Intelligence, Workforce Analytics What’s In It For You? Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle. Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses. Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program. Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities. Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program. Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives. Don’t meet every single requirement? Apply anyway. At Tech Data, a TD SYNNEX Company, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for! We are an equal opportunity employer and committed to building a diverse team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment based on merit, without regard to race, colour, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law. To support our diversity and inclusion efforts, we may ask for voluntary gender disclosure information. This data will be used solely to improve our hiring practices and ensure fair treatment for all candidates. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You Will Be Doing… This role will be responsible for analyzing large, complex datasets and identifying meaningful patterns that lead to actionable recommendations. This role will be performing thorough testing and validation of models, and supporting various aspects of the business with data analytics. Responsible for the design, development, testing, deployment, maintenance, and improvement of machine learning system software. Leverages big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Asserts that production ML tasks are working properly and ensures that data science code is maintainable and scalable in terms of actual execution and scheduling, ensuring that data science code is maintainable and scalable. Uses experience, expertise and skills to make recommendations and solve problems that are more difficult and infrequent. Develop and deploy knowledge-based structures to be used by various teams, systems, and tools. Develop tools and processes to maintain, monitor, and enhance existing knowledge-based structures, ensuring their ongoing performance. Identify and implement various sources of data from across the company to further improve knowledge-based structures. Utilize feedback from users and reports to identify gaps and resolve issues. Work with clients to gather requirements and recommend possible solutions to business initiatives. What We Are Looking For… You'll need to have: Bachelor’s degree or four or more years of work experience. Four or more years of relevant machine learning experience. Experience in Machine learning algorithms including: forecasting, clustering, classification, reinforcement learning, deep learning etc. Experience in Spark and/or Python. Strong experience in Big Data Analysis. Experience with Generative AI and GPU solution optimization. Good mobile telecommunications industry knowledge, including experience with handset manufacturers, network equipment vendors, and/or chipset vendors. Ability to do statistical modeling, build predictive models and leverage machine learning algorithms, build efficient ML pipeline. Even better if you have one or more of the following: Strong communication skills to collaborate with cross-functional teams and explain technical concepts. Strong analytical capabilities, creativity and critical thinking. Excellent problem-solving skills and ability to debug complex issues across the entire stack. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #TPDNONCDIOREF Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

InfiniBand & 10/40 Gigabit Ethernet. tools - file catalyst scripting language Hypervisor Horizon Linux clusters Esxi & vcenter Virtual Machine Vmare site recovery manager OS, Networking,Storage, Security Linux Admin

Overview: We are seeking a visionary Director of People Insights & AI Strategy to lead a cutting-edge, enterprise-wide approach to workforce intelligence. This leader will serve as a trusted advisor to the Executive Leadership Team (ELT) and the HR Senior Leadership Team (HRSLT) , translating data into bold strategies that shape talent decisions and business outcomes. In this role, you'll elevate our People Insights function into a strategic, AI-enabled powerhouse—embedding predictive, prescriptive, and generative analytics into how we manage, develop, and invest in our global workforce. From succession planning to workforce design, you will be the voice of data in the most critical talent and business conversations. Key Responsibilities: Strategic Executive Influence (30%) Deliver high-impact insights and advisory support to the ELT and HRSLT—shaping talent strategies, workforce investments, and organizational decisions with data-driven narratives and real-time analytics. AI-Driven Talent Intelligence (25%) Have experience with AI/ML solutions (e.g., talent segmentation, skills inference, generative AI for workforce planning) that anticipate trends, uncover risks, and identify opportunities for growth and optimization. Enterprise Decision Support (20%) Lead talent intelligence initiatives that inform M&A assessments, org design, strategic workforce planning, and culture evolution—connecting people data to business outcomes. Advanced People Analytics & Workday Integration (15%) Guide robust statistical and machine learning analyses (e.g., SEM, clustering, forecasting, predictive modeling). Bridge analytics platforms with Workday to extract and operationalize insights across the talent lifecycle. Global Team Leadership (10%) Lead and evolve the People Insights team into a world-class function. Champion a culture of data literacy across HR through tools, enablement, and strategic partnerships. Qualifications: 10–15 years of progressive experience in People Analytics, Data Science, Strategy, or Organizational Effectiveness with significant exposure to executive-level influence. 8+ years leading high-performing teams, ideally in a global, matrixed organization. Deep fluency with Workday—including data extraction, integration, and reporting—and the ability to bridge it with analytics tools and platforms. Proficiency in Python, R, SQL, Power BI/Tableau, and cloud environments (Azure, AWS, or GCP). Proven ability to communicate complex insights through clear storytelling that drives action at the highest levels. Key Skills Analytics, Change Management, Data Science, Generative AI, Leadership, Organizational Analytics, Organizational Development (OD), People Analytics, Talent Intelligence, Workforce Analytics What’s In It For You? Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle. Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses. Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program. Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities. Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program. Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives. Don’t meet every single requirement? Apply anyway. At Tech Data, a TD SYNNEX Company, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for! We are an equal opportunity employer and committed to building a diverse team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment based on merit, without regard to race, colour, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law. To support our diversity and inclusion efforts, we may ask for voluntary gender disclosure information. This data will be used solely to improve our hiring practices and ensure fair treatment for all candidates. Show more Show less

Job Description Senior Specialist, Oncology Global Commercial Pipeline Analytics, HHDDA Our Human Health Digital Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Senior Specialist, Oncology Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions Global Oncology Marketing team to inform launch related decisions and activities. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead development of analytics capabilities for the innovative oncology pipeline in one or more of the tumor areas (e.g., lung, head and neck, melanoma, women’s cancers, GU, GI) The successful candidate will ’connect the dots’ across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions. Primary Responsibilities Pipeline analytics and insights Conduct analytics and synthesize insights focused on specific tumor areas to enable launch excellence, strategic decision making and single source of truth on data and insights. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support strategic decision- making for Global Oncology portfolio (e.g. market and competitor landscape assessments, commercial opportunity assessments, market maps, analytical patient and HCP journeys, benchmark libraries, performance measurement and tracking). Analytics Delivery Hands on analytics project delivery with advanced expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Benchmarking Analytics Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices. Stakeholder Collaboration Partner effectively with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions. Required Experience And Skills Bachelor's degree, preferably in a scientific, engineering, or business-related field. Overall experience of 8+ years, with 4+ years of relevant experience in oncology commercialization, advanced analytics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry Therapeutic area experience in Oncology and/or emerging oncology therapies (especially in one or more of following tumor types gynecological, breast gastrointestinal, lung, head and neck, melanoma, prostate, RCC, bladder or other GU) Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting predictive modelling and secondary data analytics on large datasets using relevant skills (e.g., excel VBA, Python, SQL) and understanding of algorithms (such as regressions, decision trees, clustering etc.) Deep understanding of commercial Oncology global data ecosystem e.g., Epidemiology datasets, claims datasets, and real-world datasets Strategic thinker who is consultative, collaborative and can “engage as equals.” Confident leader who takes ownership of responsibilities, is able to work autonomously and hold self and others accountable for delivery of quality output Strong communication skills using effective storytelling grounded on data insights. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Ability to connect dots across sources, and attention to detail Preferred Experience And Skills Experience in diverse healthcare datasets, insights, and analytics Experience in Life Science or consulting industry Advanced degree (e.g., MBA, PharmD, PhD) preferred. Global experience preferred Team management experience Data visualization skills (e.g. PowerBI) Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 05/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R339607 Show more Show less

Analyst – MySQL Database Administration Job Description  Perform all technical research, analysis, design and architecting of IT Database systems ensuring that the documented business and technical requirements are met and implemented to industry best practice standards.  Drives short & long term architecture strategy for IT Database systems. Communicates and validates database architecture with the technology services and development management teams.  Lead technical design discussions working closely with Development and project team members to ensure documented requirements are being met within proposed solutions.  Install, configure, maintain, and database systems, schema, tables, indexes, procedures, and permissions.  Create backup / recovery of databases for MySQL.  Ensure SQL Transactional Replication (Create / monitor / resolve) is occurring successfully.  Track performance metrics of maintained databases; identify potential capacity / performance issues and resolve or recommend changes to meet business requirements.  Conduct regular performance tuning, indexing, and normalization of database systems.  Develop and test SQL scripts for task automation and reporting.  Provide monitoring support for critical database servers and supporting services.  Meet project deliverables for new and / or changes to existing technology within project requirements.  Install/Migrate/Administrate MySQL to Mariadb.  Ensure server downtime resulting from maintenance and improvements are limited to non-production hours whenever possible.  Identify new opportunities that reduce costs while maintaining adequate functionality and support, improve technology performance and / or stability and improve existing processes therefore reducing effort or increasing productivity.  Db patching and db upgrade/migrate. Resource monitoring and requirement analysis.  Develop and document issue resolution knowledge base.  Provide second and third level support for all database systems.  Availability for on-call 24/7 support. Position Requirements  Bachelor’s degree in Information Technology, Computer Science or other related discipline a plus.  Minimum of five (5) years of experience in database administration.  Minimum of four (3) years of administrator experience in an IT Enterprise organization which practiced ITIL methodologies.  Thorough training and demonstrated analytical and technical skills in installing, configuring, integrating and administering MySQL within the Linux / LAMP stack.  Experience including, but not limited to, MySQL, Mariadb, Linux RedHat, Apache, and PHP or other scripting languages.  Hands-on experience supporting Highly Available (HA) database environments with solutions such as clustering. This should include supporting a (3) node MySQL cluster.  Experience in systems engineering design, analysis, integration, and life-cycle engineering in support of large information systems projects.  Excellent written and verbal communication skills.  Ability to work as a team member in a fast paced environment.  Ability to manage and communicate project tasks, status, and deadlines. Preferred Qualifications  Experienced in working within a multi-tiered architecture environment, supporting B2B and/or hosting operations.  Experience with open-source software, including LAMP software bundle.  Working knowledge in NoSQL/MongoDb Show more Show less

Job Description Manager, Strategic Forecasting At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. Integrated Research and Forecasting (IRF) is a global function encompassing long-range pharmaceutical asset forecasting across the product lifecycles of all assets within Human Health (Oncology, Vaccines, Hospital Specialty / Primary care). Assets include early and late-stage molecules in clinical development, companies under considerations by business development for partnering and/ or acquisition as well as currently launched products. Forecasting deliverables support division planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across divisions, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Manager – Strategic Forecasting” We are looking for a team member within strategic forecasting team based out of Pune. Robust forecasting is a priority for businesses, as the product potential has major implications to a wide range of disciplines. While forecasting of realistic potential can be arrived through both qualitative and quantitative methods, the challenge lies in selecting and deploying the right methodology. Thus, it is essential to have someone who understands and aspires to implement advanced analytics techniques such as Monte Carlo simulations, agent-based modeling, conjoint frameworks, NLP, clustering etc. within forecasting vertical. Primary Responsibilities Include, But Are Not Limited To Responsible for one/multiple therapy areas – demonstrating good pharmaceutical knowledge and project management capability Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as well as statistical techniques within area of responsibility Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertainty - identify and elevate key forecasting levers/insights/findings to inform decision making Collaborate across stakeholders – our Manufacturing Division, Human Health, Finance, Research, Country, and senior leadership – to build and robust assumptions, ensuring forecast accuracy improves over time to support decision making Drive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accuracy Communicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholders Responsible for delivery of forecasts in a timely manner with allocated resources Determine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available Contribute in evolving our offerings through innovation, standardization/ automation of various offerings, models and processes Qualification And Skills Engineering / Management / Pharma post-graduates with 3+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics Proven ability to work collaboratively across large and diverse functions and stakeholders Ability to manage ambiguous environments, and to adapt to changing needs of business Strong analytical skills; an aptitude for problem solving and strategic thinking Working knowledge of Monte Carlo simulations and range forecasting Ability to synthesize complex information into clear and actionable insights Proven ability to communicate effectively with stakeholders Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Analysis, Marketing, Numerical Analysis, Stakeholder Relationship Management, Strategic Planning, Waterfall Model Preferred Skills Job Posting End Date 04/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335271 Show more Show less

About Company: The healthcare industry is the next great frontier of opportunity for software development, and Health Catalyst is one of the most dynamic and influential companies in this space. We are working on solving national-level healthcare problems, and this is your chance to improve the lives of millions of people, including your family and friends. Health Catalyst is a fast-growing company that values smart, hardworking, and humble individuals. Each product team is a small, mission-critical team focused on developing innovative tools to support Catalyst’s mission to improve healthcare performance, cost, and quality. About the Role We are seeking a Senior Snowflake Data Engineer with 5–6 years of experience in data engineering and a strong specialization in the Snowflake Data Cloud. This role is ideal for a candidate who thrives in building high-volume, scalable data pipelines and enjoys working with modern data lake and warehouse architectures—particularly Snowflake—leveraging its core internals and best practices to deliver optimized, high-performance data solutions. Key Responsibilities • Lead the design, implementation, and maintenance of Snowflake-centric ELT pipelines, ensuring optimal warehouse usage, performance, and cost efficiency. • Architect Snowflake data models using best practices in clustering, partitioning, and schema design to support analytics at scale. • Utilize advanced Snowflake features such as Streams, Tasks, Snowpipe, Materialized Views, and Time Travel for real-time and batch processing needs. • Ensure secure and compliant data practices through RBAC, masking policies, and low-level access controls in Snowflake. • Design data ingestion pipelines from diverse sources using Apache Kafka and other streaming frameworks. • Collaborate with stakeholders to identify data needs, model analytical solutions, and deliver trusted datasets via Snowflake. • Optimize Snowflake queries and warehouse configurations for both performance and cost across large-scale data volumes (hundreds of millions of rows/day). • Orchestrate and automate data workflows using tools like AWS Step Functions, Airflow, or dbt. • Monitor, troubleshoot, and continuously improve pipeline and warehouse performance. • Enforce data quality, lineage, and governance standards across the Snowflake environment. Required Skills • 5–6 years of overall data engineering experience with at least 2–3 years of deep, hands-on Snowflake experience. • Expertise in o Snowflake internals: performance tuning, clustering keys, result caching, auto suspend/resume. o Data ingestion and transformation using Snowpipe, Streams & Tasks, Materialized Views, and UDFs. o Security and governance in Snowflake (RBAC, secure views, data masking). • Strong SQL skills and understanding of dimensional and normalized data modeling. • Proficiency with AWS Glue, Apache Spark, and PySpark for building ELT/ETL pipelines. • Experience with data lakes (Delta Lake on S3 or similar). • Exposure to event streaming and data ingestion using Apache Kafka or equivalent. • Familiarity with orchestration tools such as Airflow, dbt, Dagster, or AWS Step Functions. • Knowledge of CI/CD practices and version control with Git. Nice to Have • Snowflake Certification (SnowPro Core or Advanced Architect). • Experience with Infrastructure as Code (Terraform, CloudFormation). • Exposure to DataOps and monitoring tools (CloudWatch, Datadog). • Working knowledge of Databricks, including Delta Lake, notebooks, and Spark runtime optimization. • Understanding of serverless and containerization technologies (AWS Lambda, Docker). Why Join Us? • Work on impactful, high-scale data engineering challenges in a modern cloud environment. • Be the Snowflake expert and evangelist within a fast-moving data team. • Enjoy autonomy, a high-ownership culture, and continuous learning. • Flexible remote options and opportunities for career growth. Show more Show less

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

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. TAX TECHNOLOGY TRANSFORMATION – Data Science -Staff EY GDS’s Tax Innovation, Solutions and Technology (IST) group as well as the Tax Tech Transformation (TTT) team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills. Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company. The opportunity EY's GDS IST and TTT team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax. GDS IST and TTT team works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests. EY is currently seeking Staff to join our Tax Technology practice. Your Key Responsibilities Apply machine learning techniques to deliver actionable insights End to end coding using Python, R Responsible for model development - manipulation including data exploration, training data, feature extraction and model development, validation and scoring on structured and unstructured data and to highlight patterns, anomalies, relationships and trends Build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models and to apply AI/Machine Learning technology to solve real-world problems Apply standard statistical methods, simulation models and statistical programming as needed Skills And Attributes For Success An overall 2 + years of hands-on work experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, deep learning, MS Azure Cognitive Service, regression, decision tree, random forest, classification and clustering, natural language processing (NLP). Expertise in programming languages such as Python Strong - programming skills, algorithm development and database management systems ML projects experience To qualify for the role, you must have Master’s degree in Statistics/Mathematics from a reputed college OR Bachelors / Master’s degree in Science/ Engineering / MCA. In AI/ML, you will be involved in development, testing and deployment of AI/ML solutions. Good to have Exposure to cloud (Azure, AWS) would be good to have. Strong verbal and written communication skills. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY TAS practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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. Show more Show less

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. Show more Show less

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. Show more Show less

Req ID: 315253 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 Systems Administration Senior Specialist UNIX/Linux/Windows to join our team in Chennai, Tamil Nādu (IN-TN), India (IN). Infrastructure Technology Systems Analyst L3 Linux SA & L3 Windows SA Who are we? Citi Technology Infrastructure (CTI) provides the products and services that enable Citi's workforce, along with many of the financial solutions that Citi's customers rely on. We provide the critical technical foundation for Citi's operations through the infrastructure that runs business and general user computing services. We do this by working as one-team to deliver high quality, reliable and modern infrastructure technologies at the right cost. We drive to optimize the functionality and capability of the infrastructure technologies. Services functions are responsible for the end-to-end service ownership for their domain, including the total cost of ownership, service quality and responsiveness. Team members within the Services functions will engineer and certify platform builds and capabilities, oversee execution of builds, and break/fix where scripting and automation are not possible. They will manage problems, service improvements and continuity of business/resiliency testing and non-routine move, add and change activities for their service domain. Technical Architecture, Development & Planning. The Technical Architecture, Development & Planning team is responsible for enterprise-wide developer tools and automation capabilities, the engineering lifecycle, core product management processes, the Enterprise Analytics Portal (EAP) and defining the strategy around our next generation capabilities. In CTI, we are focused on delivering the best for our clients, and we know that to do this we need a talented team with diverse experiences, backgrounds and skills. Role Description The role of an Infrastructure Technology System Analyst within the High Frequency Trading environment is responsible for activities relating to the implementing, maintenance and migration of platforms which are uniquely configured in support of the High Frequency Markets and Trading applications. You will have the opportunity to work with our global internal and external partners to drive future improvements in the performance of our technology infrastructure platforms, ensuring that we are increasing the reliability and optimizing its capacity. The overall objective is to assist with infrastructure migrations to build a secure, stable and efficient operating environment for our business to function and grow. Key Responsibilities Provide sound understanding of technology infrastructure concepts and principles to provide support to supported platforms and sectors within technical domain. Apply basic understanding of how multiple areas collectively integrate within technology infrastructure to support the operations environment. Build, configure and tune servers as per the application requirement Review requirement documents, define hardware requirements and update processes and procedures as necessary. Co-ordinate with various teams to resolve issues and deliver project on time. Provide Root Cause Analysis (RCA) post restoration of service. Design testing approaches, complex processes, reporting streams, and assist with the automation of repetitive tasks. Ensure ongoing compliance with regulatory requirements. Willing to work after hours and weekends or be on-call if needed Conduct project related research Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Handle issues and escalations, as well as resolve production problems, reporting to management on status and technical matters. Plan and implement improved processes, backup and recovery plans, and uniform methodologies and standards Responsibilities Stakeholder Management and People Responsibilities Work effectively with virtual and remote team members exercising critical thinking to resolve issues and presenting technical findings accurately to internal customers and leadership. Act as a liaison between various CTI businesses providing direction and support to resolve issues in a timely manner. Directly impact the business by ensuring the quality of work provided by self and others; impacts own team and closely related work teams by providing mentoring and training to junior members of the team. Actively contribute towards self-development by creating and following development plans based on discussions with management. Core Role Competencies Technical Knowledge: Has a recognizable area of technical competence. Familiar with appropriate standards. Applies subject domain knowledge to meet organizational need/guide actions. Keeps up with current and possible future technological developments in the field. Processes/ Procedures: Ensures processes and procedures are in place for self and others to use. Seeks ways to improve existing processes, making adjustments or recommending reengineering improvements. Customer and Industry Knowledge: Consistently applies a business driver and marketplace focus when prioritizing actions. Risk Management: Examines and defines factors that could adversely affect task completion, delivery or achievement of customer satisfaction. Evaluates controls to help mitigate negative outcomes through prevention, detection and correction. Identifies the risks of negative outcomes, including inadvertent error or fraud. Ensures ongoing compliance with regulatory requirements. Stakeholder Management: Identifies key partners and their influence, implements techniques for communicating/engaging and managing expectations. Has frequent interactions. Finds the appropriate balance of completing claims by various groups of stakeholders, acting fairly and in consideration of cultural and ethical factors. Client Centricity: Uses insights from customer relationships to anticipate their needs and provide services beyond their expectations. Actively seeks information to understand client issues, expectations, and needs. Problem Solving and Decision Making: Makes sound decisions. Considers relevant factors and uses appropriate decision-making criteria and principles. When making decisions, uses a mix of analysis, wisdom, experience and discernment. Assesses business needs, anticipates problems. Works independently and is self-directed. Technical Skills RHEL 7/8 CoreOS, Windows Operating Systems and Openshift. Active Directory, KDC and Domain Services (AD, DNS), FTP, Data Protection (Netbackup), Clustering (Veritas) Virtualization environment based on VMware, OpenShift x86 server hardware Dell \ HP \ Lenovo, Solarflare, SSD and FPGA Be able to create simple automation scripts using PowerShell or other scripting language like VBS, Python, Bash, etc. Network protocols and tools used to troubleshoot issues Familiar with Sysinternals and tools that allow deep system/process troubleshooting Good to have and a willingness to learn Microsemi, Ansible, VMware, Windows RDS, Centrify, IBM BigFix, Ansible, PTP\NTP, Splunk, ePo, SCCM, Twistlock, Crowdstrike, SCOM, Dell, ITC, Lenovo, HP \ DELL \ Lenovo servers, and EMC \NetApp storage Skills / Experience Levels Ability to work with virtual / in-person teams, and work under pressure / to a deadline You have good communication skills with the ability to articulate clearly in high stress situations. You work independently and are self-directed. You are a detail oriented and perseverant individual. You have a positive attitude with the drive to get the work done. You enjoy collaborating and working as part of a cross discipline team. You’re a self-starter with good problem-solving skills, and you continuously look for ways to improve things. You understand the importance of prioritization of your work. Providing a great experience to the users of your platform is important to you. You have skills and proficiency with MS PowerPoint, Excel, Access or other analytical tools. You have a Bachelor’s degree (Computer Science or Engineering degree preferred) or equivalent work experience. 6+ years of experience Anticipated shifts (during migration) Thu 9AM - 5PM Fri 4PM - 12PM / 8PM - 6AM (Sat) Sat 6AM - 9PM Sun 9AM - 5PM Mon 9AM - 5PM 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 . Show more Show less

Who we are Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for Machine Learning Scientists to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair’s revenue. What you’ll do Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?) Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. What you’ll need 3+ years of industry experience with a Bachelor/ Master’s degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Strong written and verbal communication skills Intellectual curiosity and enthusiastic about continuous learning Nice to have Experience with Python machine learning ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Familiarity with GCP (or AWS, Azure), machine learning model development frameworks, machine learning orchestration tools (Airflow, Kubeflow or MLFlow) Experience in information retrieval, query/intent understanding, search ranking, recommender systems etc. Experience with deep learning frameworks like PyTorch, Tensorflow, etc. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 3 years of customer-facing experience focused on translating customer needs into cloud solutions. Experience with SAP technologies (e.g., SAP HANA, SAP Netweaver, Solution Manager, SAP Business Suite, Business Warehouse, SAP Hybris, etc.), their architecture, and infrastructure. Experience with SAP Operating System (OS)/Database (DB) migrations, downtime optimizations, and backup strategies. Experience troubleshooting clients technical issues and working with engineering teams, sales, services, and customers. Preferred qualifications: MBA or Master's degree in Computer Science or Engineering field. Certification in Google Cloud. 5 years of experience in technical client service. Experience implementing projects for live SAP environments on public cloud, and architecting around core production concepts (e.g., sizing, high availability, disaster recovery, multi-tenancy, scale out and scale up architectures, clustering, etc.). Excellent communication, writing, presentation and problem-solving skills. About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. As a SAP Cloud Consultant, you will work directly with Google’s most strategic customers on critical projects to provide management, consulting and technical advisory to customer engagements while working with client executives and key technical leaders to deploy solutions on Google’s Cloud Platform. You will work closely with Google's partners servicing customer accounts to manage projects, deliver consulting services, and provide technical guidance and best practice expertise. To be successful, you know how to navigate ambiguity, use your extensive experience working with cloud technologies, have technical depth and enjoy working with client executives. You also possess excellent communication and project management skills. Travel approximately 25% of the time for client engagements. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. Work with internal specialists, Product and Engineering teams to package best practices and lessons learned into thought leadership, methodologies and published assets. Interact with Sales teams, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on the field experience. Propose architectures for SAP products and manage the deployment of cloud based SAP solutions according to complex customer requirements and implementation best practices. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Client: Ministry of Public and Business Service Delivery and Procurement Work Location: 5700 Yonge Street, 10th Floor, Toronto, Ontario, Hybrid Estimated Start Date: 2025-07-02 Estimated End Date: 2026-04-02 #Business Days: 248.00 Extension : Probable after the initial mandate Hours per day or Week: 7.25 hours per day Security Level: CRJMC Description Responsibilities: Construct a high-level overview of the entire data landscape of the organization. Illustrate how data moves through the organization and between systems. Develop high-level designs outlining the main entities and their relationships. Design detailed models showing attributes, primary keys, and relationships between entities without considering physical aspects. Implement designs showing how data will be stored, including tables, columns, indexes, and relationships. Design diagrams showing how different data systems and databases interact and are integrated. Document standards and policies for data management, including naming conventions, data quality standards, and data security policies. Plan and guide the roles and responsibilities of data stewards in maintaining data quality and integrity. Compile detailed descriptions of data elements, their meanings, and their relationships. Create a comprehensive list of business terms and their definitions to ensure consistent usage across the organization. Document and design processes for extracting, transforming, and loading data from various sources. Strategize and schedule the movement of data from legacy systems to new systems or platforms. Detail the design of the data warehouse, including the schema, dimensions, and fact tables. Set up and configure BI tools and dashboards. Regularly report on the quality of data, identifying issues and areas for improvement. Develop strategies and methods for cleaning and improving the quality of data. Plan and diagram how data security will be implemented and maintained. Document compliance with relevant regulations and standards. Develop strategies for improving the efficiency and performance of data systems. Detail plans for data architecture projects, including timelines, milestones, and resources required. Document technical specifications for all data architecture components and processes. Experience And Skill Set Requirements Public Sector Experience – 5 Points 5+ years of experience working with federal/provincial/broader public-sector healthcare providers. Knowledge of Public Sector Enterprise Architecture artifacts (or similar), processes and practices, and ability to produce technical documentation that comply with industry standard practices. In-depth knowledge of industry standard such as Project Management Institute (PMI) and Public Sector I&IT project management methodologies. Knowledge and experience with Public Sector Health related projects. Knowledge and understanding of Ministry policy and IT project approval processes and requirements. Experience adopting and adhering to Public Sector Unified I&IT Project Methodology, Public Sector Enterprise Architecture and Public Sector Gating process, and Public Sector Standard Systems Development Methodologies. Experience with large complex IT Health-related projects. Technical Skills And Experience – 50 Points 7+ years experiences in the following: developing conceptual, logical and physical data models for structured, semi-structured, and unstructured data with relational, star and snowflake schemas. Proficiency in data modeling methods and tools (e.g. ERWIN, VISIO, Power Designer). developing and implementing common data models and master data management strategies design schemas that balance agility, schema flexibility, data governance, and quality. Expertise in creating schemas that allow flexible querying and analysis across various data formats. defining data partitioning, clustering, and indexing strategies to optimize query performance and data access patterns. implementing schemas and metadata structures that support efficient data management. Understanding of data governance principles and practices, especially in designing schemas and metadata structures. Experience in creating Architecture Artefacts based on enterprise standards. 4+ years experience in designing schemas that integrate diverse data types stored in a data lake or data lakehouse. 3+ years experience of implementing Medallion architecture or similar frameworks. Familiarity with tools and techniques for managing metadata in a data lakehouse environment. Hands-on experience with Azure services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks. Core Skill And Experience – 30 Points 10+ years experience with Solutions development. Experience in addressing complex data integration challenges and design efficient, scalable data models. Experience in monitoring and enforcing data modelling/normalization standards. Experience with the privacy and security requirements or software development in a health context, or equivalent. Demonstrated knowledge of leading technical design, security and recovery procedures for application development. Experience with relational and hierarchical database technologies. Demonstrated understanding and experience with the use of information retrieval packages using query languages. Experience in production environment troubleshooting and tuning to improve performance. Knowledge and experience of Information Management tools, principles, concepts, policies and practices. General Skills – 15 Points Experience with at least two different platforms, operating systems, environments, database technologies, languages and communications protocols. Knowledge of performance considerations for different database designs in different environments. Experience in structured methodologies for the design, development and implementation of applications. Experience in systems analysis and design in large or medium systems environments. Awareness of emerging I&IT trends and directions Excellent analytical, problem-solving and decision-making skills; A team player with a track record for meeting deadlines. Strong communication skills to articulate data architecture concepts and collaborate with stakeholders. Experience working with cross-functional teams, including IT, business, and data engineering teams. Strong analytical skills to understand and model complex data relationships and structures. Meticulous attention to detail in designing and implementing data models and schemas. Note This position is currently listed as "Hybrid" and consultants will be required to work onsite at the work location 3 days a week and 2 days from home. The details of this arrangement will be confirmed with the Hiring Manager. Extension/Amendment Attestation: Extension(s) only allowed using unused days/funds left on contract. No additional funds will be added beyond maximum contract value. The Statement of Work (SOW) shall expire on April 2, 2026. HSC may exercise its option(s) to extend a SOW beyond April 2, 2026 using unused days/funds left on the contract. Such extension(s) will be allowable only if the Master Service Agreement is extended beyond April 5, 2026 and be upon the same terms, conditions and covenants contained in the SOW. Eligibility and Application Steps If you are enthusiastic about this exciting opportunity, we kindly request you to provide the following documents: hrsmss@smsoftconsulting.com Without mandatory documents, we cannot submit a candidate. Updated Resume in word format (Mandatory) Skills Matrix and References (Mandatory) Expected hourly rate (Mandatory) Visa Status (Mandatory) LinkedIn ID (Mandatory) Please only apply if you meet the qualifications mentioned above. Feel free to share with your network or tag someone who fits for this role! If you have any questions or need further clarification, feel free to call or text at (647) 408-1348. Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : PySpark, Apache Spark, Python (Programming Language) Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with the team to develop and implement solutions, ensuring they align with business needs and requirements. You will also engage with multiple teams, contribute to key decisions, and provide problem-solving solutions for your team and across multiple teams. With your expertise in Databricks Unified Data Analytics Platform, you will play a crucial role in developing efficient and effective applications. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Design, build, and configure applications to meet business process and application requirements. - Collaborate with the team to develop and implement solutions. - Ensure solutions align with business needs and requirements. - Contribute to key decisions and provide problem-solving solutions for the team. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Python (Programming Language), Apache Spark, PySpark. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Pune office. - A 15 years full-time education is required. 15 years full time education Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Talend ETL, Apache Spark, PySpark Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with the team to develop and implement solutions, ensuring they align with business needs and requirements. You will also be responsible for troubleshooting and resolving application issues, as well as providing technical support to end-users. Additionally, you will contribute to the continuous improvement of application development processes and practices, ensuring high-quality deliverables. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Design, build, and configure applications to meet business process and application requirements. - Collaborate with the team to develop and implement solutions that align with business needs and requirements. - Troubleshoot and resolve application issues, ensuring high-quality deliverables. - Provide technical support to end-users. - Contribute to the continuous improvement of application development processes and practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Talend ETL, Apache Spark, PySpark. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full-time education is required. 15 years full time education Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : PySpark, Apache Spark, Talend ETL Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams, make team decisions, and provide solutions to problems. Engaging with multiple teams, you will contribute to key decisions and provide solutions for your immediate team and across multiple teams. In this role, you will have the opportunity to showcase your creativity and technical expertise in designing and building applications. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Design, build, and configure applications to meet business process and application requirements - Collaborate with cross-functional teams to gather and define application requirements - Develop and implement software solutions using the Databricks Unified Data Analytics Platform - Perform code reviews and ensure adherence to coding standards - Troubleshoot and debug applications to identify and resolve issues - Optimize application performance and ensure scalability - Document technical specifications and user manuals for applications - Stay updated with emerging technologies and industry trends - Train and mentor junior developers to enhance their technical skills Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform - Good To Have Skills: Experience with PySpark, Apache Spark, Talend ETL - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform - This position is based at our Bengaluru office - A 15 years full time education is required 15 years full time education Show more Show less

Technical Experience/Knowledge Needed Cloud-hosted services environment. Proven ability to work in a Cloud-based environment. Ability to manage and maintain Cloud Infrastructure on AWS Must have strong experience in technologies such as Dockers, Kubernetes, Functions, etc. Knowledge in orchestration tools Ansible Experience with ELK Stack Strong knowledge in Micro Services, Container-based architecture and the corresponding deployment tools and techniques. Hands-on knowledge of implementing multi-staged CI / CD with tools like Jenkins and Git. Sound knowledge on tools like Kibana, Kafka, Grafana, Instana and so on. Proficient in bash Scripting Languages. Must have in-depth knowledge of Clustering, Load Balancing, High Availability and Disaster Recovery, Auto Scaling, etc. Skill Required (Other) AWS Certified Solutions Architect or/and Linux System Administrator Strong ability to work independently on complex issues Collaborate efficiently with internal experts to resolve customer issues quickly Additional No objection to working night shifts as the production support team works on 24-7 basis. Hence, rotational shifts will be assigned to the candidates weekly to get equal opportunity to work in a day and night shifts. But if you get candidates willing to work the night shift on a need basis, discuss with us. Early Joining Willingness to work in Delhi NCR Skills : DevOps, Amazon Web Services (AWS), Linux/Unix, Shell Scripting, Jenkins, MySQL, NewRelic, Git, Amazon RDS, Amazon CloudFront, Elastic Search, Apache Kafka, Neo4J, Docker, Ansible and Kubernetes (ref:hirist.tech) Show more Show less

Job Description Navtech is looking for a AI/ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions. Working as an AI/ML Engineer at Navtech, you will : Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks. Clean, preprocess, and analyze large datasets to extract meaningful insights and features. Work closely with data engineers to develop scalable and reliable data pipelines. Experiment with different algorithms and techniques to improve model performance. Monitor and maintain production ML models, including retraining and model drift detection. Collaborate with software engineers to integrate ML models into applications and services. Document processes, experiments, and decisions for reproducibility and transparency. Stay current with the latest research and trends in machine learning and AI. Who Are We Looking for Exactly ? 2- 4 years of hands-on experience in building and deploying ML models in real-world applications. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of ML concepts such as supervised and unsupervised learning, overfitting, regularization, etc. Experience working with Jupyter, pandas, NumPy, and visualization libraries like Matplotlib or Seaborn. Familiarity with version control (Git) and basic software engineering practices. You consistently demonstrate strong verbal and written communication skills as well as strong analytical and problem-solving abilities You should have a masters degree /Bachelors (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium. Well REALLY Love You If You Have knowledge of cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, etc.) Have knowledge of GenAI prompting and hosting of LLMs. Have experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK). Have familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc.). Have exposure to deep learning and neural network architectures. Have knowledge of REST APIs and how to serve ML models (e.g., Flask, FastAPI, Docker). Why Navtech? Performance review and Appraisal Twice a year. Competitive pay package with additional bonus & benefits. Work with US, UK & Europe based industry renowned clients for exponential technical growth. Medical Insurance cover for self & immediate family. Work with a culturally diverse team from different us : Navtech is a premier IT software and Services provider. Navtechs mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US & Hyderabad. Were a fast-growing company with clients in the United States, UK, and Europe. We are also a certified AWS partner. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030. (ref:hirist.tech) Show more Show less

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes. Involved with numerous key business decisions by conducting the analyses that inform our business strategy. This may include: impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends, identification of customer sentiment drivers through natural language processing (NLP) of verbatim responses to Net Promotor System (NPS) surveys and development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity. Works with moderate guidance in own area of knowledge. We are seeking a skilled and motivated Developer with 2 to 4 years of experience to join our team. The primary focus of this role will be on the generation of reports using SQL, relational databases, and visualization tools like Tableau. The ideal candidate will have a strong foundation in data modeling, data privacy, and segmentation, along with experience in ETL processes and ServiceNow reporting. This role requires excellent analytical, communication, and critical thinking skills to deliver high-quality, actionable insights to stakeholders. Job Description Candidates should be from ServiceNow Background Analyze and interpret complex data sets to identify trends, correlations, and actionable insights that support business objectives. Develop, maintain, and enhance interactive dashboards and reports using Tableau to provide real-time data visibility and support decision-making processes Write, optimize, and troubleshoot SQL queries to extract, manipulate, and analyze data from multiple sources, ensuring accuracy and relevance. Collaborate with cross-functional teams to gather and define data requirements, providing insights that drive strategic initiatives. Conduct ad-hoc analyses and create reports that address specific business questions, providing timely and relevant insights to stakeholders. Present data-driven findings and recommendations to management and stakeholders, ensuring clarity and accessibility for non-technical audiences. Participate in the development and implementation of data governance and best practices to ensure data quality and integrity. Provide support in identifying opportunities for automation and process improvements to enhance data collection and reporting efficiency. Mentor junior analysts, providing guidance on best practices in data analysis, visualization, and problem-solving techniques. Employees At All Levels Are Expected To Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion & diversity. Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years Show more Show less

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting- Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About SC - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. Logical Thinking- Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for Analyst with 2+ years Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space mixed-effect modeling techniques and optimization algorithms and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. Logical Thinking- Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for? Analyst with 2+ years & Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.