6900 Machine Learning Jobs - Page 45

BRIEF OF JOB PROFILE & ROLE AND RESPONSIBILITIES Your duties as Data Scientist areas follows: Design, develop, test, deploy and maintain BI development projects which will include but not limited to Report and Dashboard development, Statistical Modelling, Machine Learning, Artificial Intelligence. Deliver client presentations, create Data Visualizations, and exhibit Data Storytelling skills. Perform complex development tasks and use the technologies as deemed appropriate for the projects by the Employer. Technologies will include SQL, Power BI, Tableau, Python, R, TensorFlow, Cloud based data intelligence and analytics services and tools like SQL Server Analysis Services (SSAS), Data Bricks, Azure Data Factory, AWS Glue. Work directly or indirectly with clients to understand and define requirements, work with other application development teams on various projects. Work with the team of developers. Take directions well from the Team lead/Architect and work together with him/her to contribute to all development, production, and support activities. Participate and work using Agile methodologies like Scrum and conduct the Scrum events appropriately. other duties as may arise from time to time and as may be assigned to the employee. Ensure and implement the best possible performance, quality, and responsiveness of applications. Work together with the team in development and testing efforts. Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues. Exhibit flexible and proactive working style with strong personal ownership of problem resolution. Work to ensure deadlines are met. Job Type: Full-time Pay: From ₹200,000.00 per year Benefits: Health insurance Work Location: In person

Responsibilities: * Proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn. * Basic understanding of data structures, algorithms, & statistics. * Strong problem-solving skills and eagerness to learn. Annual bonus

Role Overview: We are looking for an experienced Data Scientist to derive actionable insights from sales and marketing data. This role will focus on leveraging advanced data analytics, statistical modeling, and machine learning to uncover trends, predict outcomes, and guide strategic decisions. The ideal candidate will play a crucial role in bridging sales and marketing efforts, enabling data-driven alignment and performance optimization. Key Responsibilities: 1. Data Analysis and Insight Generation: a. Analyze large datasets from sales and marketing platforms to identify patterns, trends, and opportunities. b. Develop actionable insights to improve lead generation, conversion rates, and campaign performance. 2. Predictive Modeling: a. Build and deploy predictive models to forecast sales performance and marketing campaign outcomes. b. Use machine learning algorithms to segment customers and predict their behavior. 3. KPI Optimization: a. Analyze key performance indicators (KPIs) for sales and marketing teams to identify areas for improvement. b. Provide recommendations to optimize sales pipelines and marketing campaign ROI. 4. Data Integration and Automation: a. Integrate data from multiple sources (e.g., Salesforce, Google Analytics, Facebook Ads) into a unified analytics framework. b. Automate reporting and visualization processes using advanced tools. 5. Collaboration with Teams: a. Work closely with sales, marketing, and business analyst teams to understand data requirements and provide tailored solutions. b. Translate complex data findings into clear recommendations for leadership. 6. Advanced Visualization: a. Create interactive dashboards and visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). b. Present findings and insights to stakeholders in an easy-to-understand format. 7. Experimentation and Testing: a. Conduct A/B testing to evaluate marketing strategies and sales initiatives. b. Optimize campaigns by analyzing test results and making data-driven adjustments.

JD: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning. Role & responsibilities Preferred candidate profile

Entity : - Accenture Strategy & Consulting Team : - Global Network – Data & AI Practice : - CFO & EV - Risk Analytics Title : - Ind & Func AI Decision Science Senior Manager/Manager About S&C - Global Network : - Accenture Global Network - Data & AI 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. WHAT’S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world’s most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You’ll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution: Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accenture’s clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. Who we are looking for? 2-11+ years of relevant Risk Analytics experience at one or more Financial Services/Banking firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk – Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering – AML scenarios/alerts, Network Analysis o Operational risk – AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 OR other risk and compliance regulations. Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as – linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series – ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Master’s degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. 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.

About Info Edge InfoEdge?s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Shiksha.com Shiksha.com is an online platform that helps students find in-depth information about colleges, courses and exams. It also enables students to interact with domain experts and college/school alumni towards taking exam, course-selection and college-selection related decisions. It has a repository of reliable and authentic information for over 15,000 institutions, 1,40,000 plus courses and gets over 70 million unique visitors per year. Shiksha provides leads of relevant students to Universities and Colleges seeking to admit those students in their courses Title: Executive / Sr. Executive (Student Success) Required Educational Qualification: Any Graduate or Postgraduate Desired Experience: 1 - 4 years Job Objective: Objective is to provide professional guidance to students interested in studying in an Indian College / University for higher education. Job Description: Helping the registered users of shiksha.com (students / parents) to take the unbiased and informed decision on making the right choices for institutes to enroll for higher studies. Understand their requirements in-terms of courses, college or university preference, course duration, fee structures and other criterions. Ensure conversions of potential online leads from the domestic section of the portal by virtual connects (Calls/Skype/whatsapp) into confirmed applications / admissions in the partner universities / Institutions Coordinate and maintain a strong relationship with students, institutions, universities and university spocs. Demonstrate expertise for counseling and shortlisting of colleges/ universities according to the student profile and ensure documentation. Maintain weekly/monthly reports and process related matrices showing progress on student conversions/target achievement Required Skills: Excellent communication both verbal and written Experience in education counselling Sales acumen and target orientation Documentation and customer engagement Desired Skills: Customer centric approach Interpersonal skills Data management and analytics Why Join Us: This is a unique opportunity to work on innovative and disruptive technology driven business solutions that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast-paced environment and are ready to enhance their skills by learning something new. Being a part of InfoEdge, will allow you to unleash your potential and carve your own career. To learn more about Info Edge visit http://www.infoedge.in/

As the Manager, Machine Learning Engineer you will be responsible for leading a team of talented ML engineers, guiding them in the design, development, and deployment of machine learning models. You will collaborate with cross-functional teams to ensure the successful integration of ML solutions into our products and services. Key Responsibilities: Lead and mentor a team of machine learning engineers, providing guidance and support in their professional development. Oversee the design and implementation of machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). Manage the deployment and scaling of ML models on AWS infrastructure, utilizing services like SageMaker, EC2, and Lambda. Implement Infrastructure as Code (IaC) using Terraform to automate provisioning and configuration of ML environments. Collaborate with data scientists, product managers, and other stakeholders to align ML solutions with business objectives. Ensure the reliability, scalability, and performance of deployed models through continuous monitoring and optimization. Stay informed about the latest advancements in machine learning and AI technologies, and drive innovation within the team. Document processes and methodologies to ensure reproducibility and knowledge sharing across the organization. Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience. Proven experience as a Machine Learning Engineer, with a track record of leading teams and projects. Strong proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Extensive experience with AWS services for deploying and managing ML models. Expertise in Terraform for infrastructure automation. Solid understanding of machine learning algorithms and techniques. Excellent leadership, communication, and collaboration skills. Preferred Qualifications: Master's degree or Ph.D. in a related field. Experience with other cloud platforms (e.g., Azure, Google Cloud). Knowledge of big data technologies (e.g., Hadoop, Spark). Familiarity with deep learning architectures and frameworks. Experience with version control systems like Git.

As a Core ML Engineer you will be responsible for designing, developing, and deploying machine learning models that solve complex problems and enhance our product offerings. You will collaborate with cross-functional teams to integrate ML solutions into our systems and ensure their scalability and performance. Key Responsibilities: Design and implement machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). Deploy and manage ML models on AWS infrastructure, utilizing services like SageMaker, EC2, and Lambda. Collaborate with data scientists and engineers to preprocess data and optimize model performance. Develop and maintain automated pipelines for model training, evaluation, and deployment. Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency. Stay up-to-date with the latest advancements in machine learning and AI technologies. Document processes and methodologies to ensure reproducibility and knowledge sharing. Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience. Proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with AWS services for deploying and managing ML models. Solid understanding of machine learning algorithms and techniques. Familiarity with data preprocessing and feature engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Role & responsibilities Design, develop, and optimize scalable ML pipelines using Python and modern ML engineering tools. Implement feature stores, model versioning, and model serving using tools like Feast , Kubeflow , and MLflow . Work closely with data scientists to productize machine learning models in production environments. Write and maintain Dockerfiles and Kubernetes YAML configurations to containerize and deploy models and services. Apply performance tuning and optimization techniques to improve ML pipeline efficiency. Work in Big Data environments and integrate with data platforms when required. Collaborate with cross-functional teams including data engineering, DevOps, and product teams to deliver ML solutions. Maintain documentation, ensure version control, and follow best practices for reproducibility and model governance. Preferred candidate profile 5+ years of experience in Python programming with focus on performance tuning and optimization. Proficiency in NumPy , Pandas , and data frame operations. Hands-on experience with Feast , Kubeflow , and MLflow . Solid understanding of Docker and Kubernetes ; ability to write and manage YAML configurations. Working knowledge of Big Data environments (Spark, Hadoop, etc.) is a plus. Strong analytical and problem-solving skills with meticulous attention to detail. Excellent communication and interpersonal skills; ability to thrive in a fast-paced and collaborative environment. Solid understanding of machine learning and data science fundamentals.

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com

Role Summary: The Senior Data Scientist is a technical leadership role with direct accountability for the delivery of multiple projects within FMCG including the management of the analytics quality on these projects. The Senior Data Scientist collaborates closely with other Data Scientists and consultants on projects (across the FMCG client portfolio) to transform client questions and issues into analytical solutions. Key responsibilities: Accountable for the analytics quality and delivery of key FMCG projects. Transforming client questions and issues into analytical solutions, through partnering with Consultants to scope solutions and ensure projects are successfully delivering value to clients. Task management including overseeing and delegating technical tasks amongst data scientists. Team management: leading a small team of technical analysts (~1-3 direct reports). Key activities: * Accountable for the analytics quality and delivery of key FMCG projects: Delivery and build of analytical solutions, transforming transaction- or customer-level data sets into client ready strategic insights e.g. data exploration, cleansing, manipulation, extracting insights, and clear presentation via spreadsheets, PowerPoint presentations and self-service analytical visualization tools. Task management including overseeing and delegating technical tasks amongst analysts within project team, including reviewing code, analysis and outputs. Design and be accountable for solution design, analytical methodology / technique and quality assurance for analytical projects. Providing estimates of work effort, timeframes, costings and resourcing for analytical tasks. * Partnering with consultants to ensure projects are successfully delivered and providing value to clients: Convert data into meaningful, actionable recommendations for Quantium's clients. Transforming client questions and issues into analytical solutions, through project scoping and solution design. * Team management: leading a small team of Data Scientists: Directly manage all direct reports, managing on-boarding, driving their performance, supporting their development & progression and managing the formal performance review process. Provide technical guidance for direct reports and other analysts within the project team as needed / on a day-to-day basis. Support team initiatives, such as interviewing candidates, facilitating team training or knowledge sharing, or organizing events. Be a role model of Quantium's DNA and support a culture of collaboration, innovation, high-performance and fun. Experience and education required: 1. Approximately 5+ years experience in a highly technical analytics environment, carrying out data analytics or data science work. Strong coding experience in SQL. Experience in working with large datasets to solving commercial business problems (customer-level and/or sales transaction-level datasets preferred). Advanced knowledge of technical analytics discipline, including data preparation, feature engineering and foundational analytics concepts, model development and model training. 2. Well-developed commercial acumen to understand business needs and be able suggest the commercial impacts of different analytics solutions or approaches. Experience transforming client questions and issues into analytical solutions, through project scoping and solution design. Experience in FMCG/CPG or Retail industry (preferred). Experience working in consulting environment (preferred). 3. Experience in supervising the work of others as a senior team member, project manager or team leader. 4. Experience with successfully managing either internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environments. 5. Experience and interest in people management, mentoring and development. 6.Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline. Key business capabilities required: 1. Resource Planning - Coordination of resources effectively to achieve committed client outcomes at a high level of quality. 2. Client Project Planning - Effective capture, planning and management of the series of inter-related activities involved in delivering the agreed client scope of work, including managing dependencies, making decisions on variances to the original plan and aligning stakeholders. 3. Client Project Delivery- Effective management that integrates people, systems, structures and practices across Quantium and a client organization to ensure high quality project delivery. 4. Business and Product Requirements - Ability to effectively translate business and client needs or problems into an a sustainable technical or product solution. 5. Method Evaluation - Assess the appropriateness of the solution to the original problem and the application of the method. 6. Method Selection - Choose the appropriate type of analytics or modelling to best solve the problem, given all inputs and prescribed outputs. 7. Method Design - Design the most appropriate structure for the method that best solves the problem, given inputs and prescribed outputs. 8. Insight Generation: Convert information into meaningful, actionable recommendations for Quantium's clients and partners. Key People and leadership capabilities required: 1. Self-aware - you leverage diversity across people, tasks, client interactions and projects, taking responsibility for self and other. 2. Agile and innovative - you possess strong lateral thinking skills and actively develop these in others. 3. Achieve and perform - you have exceptional execution skills and are achievement focused. 4. Brand advocate - you anticipate and consider brand and cultural impact in decision making. 5. Purposeful and aligned - you can set clear, tangible objectives which deliver against our strategy. 6. Achievement oriented - you effectively facilitate challenging performance related conversations in a timely and appropriate manner. 7. Coach - you demonstrate the ability to coach and develop others while facilitating learning, growth and engagement.

ABOUT US CEREBULB: We are services & solutions private limited firm who harnesses the power of data by leveraging Internet of Things, Machine Learning, Artificial Intelligence, Augmented Reality and Virtual Reality in industrial world to accelerate customer’s journey into operational excellence by increasing operational uptime, extending component life to reduce operating and owning cost of operation. We serve various industries such as Retails, IT & Telecom, Oil & Gas, Automotive, Electric Power, Chemical, Renewable, Pharmaceutical, Food & Beverage, Manufacturing, Energy, Metals and Mining, and Construction, having years of experience successfully operating in countries: Australia, US & India. Position offered : UI/UX Designer Work Location : Gift City Gandhinagar We are looking for a UI/UX Designer to turn our software into easy-to-use products for our clients. UI/UX Designer responsibilities include gathering user requirements, designing graphic elements and building navigation components. To be successful in this role, you should have experience with design software and wireframe tools. Roles & Responsibilities : Gather and evaluate user requirements. Illustrate design ideas using storyboards, process flows and sitemaps Design graphic user interface elements, like menus, tabs and widgets Build page navigation buttons and search fields Develop UI mockups and prototypes that clearly illustrate how sites function and look like Create original graphic designs (e.g. images, sketches and tables) Prepare and present rough drafts to internal teams and key stakeholders Identify and troubleshoot UX problems (e.g. responsiveness) Conduct layout adjustments based on user feedback Adhere to style standards on fonts, colors and images Proven work experience as a UI/UX Designer or similar role Portfolio of design projects Up-to-date knowledge of design software like Adobe Illustrator and Photoshop Team spirit; strong communication skills Good time-management skills BSc in Design, Computer Science or relevant field Experience: 0 to 1 year Job Types: Full-time, Permanent, Fresher, Internship Pay: From ₹12,500.00 per month Benefits: Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your Current CTC? What is your expected CTC? How soon can you join(In days)? Experience: UI/UX Design: 1 year (Preferred) Work Location: In person

Job Description Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C12 (Individual Contributor) AVP is within Retail Bank Fraud Analytics team in Citi AIM.The primary area of focus for this position is to analyze transaction data, understand fraud pattern , develop fraud loss mitigation strategies with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact. The person will also be responsible for monitoring strategy performance, collaborate with strategy implementation team for strategy implementation, proactively come up with fraud loss mitigation measure leveraging new data sources, advanced analytics techniques wherever applicable. Job Description Summary: The individual is expected to be hands-on with analysis on regular and / or ad hoc basis, extract different data sources not only limited to transactions depending upon business objective, generate fraud risk insights , recommend business solution as well as regular monitoring of strategy performance , optimize existing rules to improve rule performance. Individual should be able to have a holistic view of different retail banking products, best practices and integrating analytical thinking and knowledge of business along with data analysis tools and methodologies to develop client centric solutions and recommendations. Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS,SQL,Hive,Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable. Experience in stakeholder management across various functions and regions. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and communicate clearly and effectively to business partners and senior leaders. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Presentation Skills : Delivering clean and clear presentations to share the thoughts, the solutions or the problem for business stakeholders and senior management. Project Management – Should have skillset to manage project in terms of creating project plan, assigning responsibilities amongst junior team members, and completion of projects in timely fashion and escalating managing and reporting control issues with transparency. Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in business solutions and/or modeling and implementing such solutions to create economic value. The individual is expected to support regulatory/audit activities and /or other risk and control activities whenever needed. Qualifications: 8+ years of analytics experience , prior experience in Fraud analytics preferrable Advanced analytical and business strategy skills Effective communication skills Ability to present to business partners and/or leaders to gain approvals. Project and process management skills Excellent written and verbal communications skill Experience with a prior focus in financial services analytics. Solid organizational skills and ability to manage multiple projects at one time. Self-starter who also has a demonstrated ability to work successfully in team environment and drive. Education: Bachelors/University degree or equivalent experience. Master’s degree is preferable. - Job Family Group: Decision Management - Job Family: Business Analysis - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills Decision Trees, Logistic Regression Models, Python (Programming Language), SAS SQL. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About the Role: Grade Level (for internal use): 07 Department overview The world’s most comprehensive dividend forecasting service with independent estimates of dividend payments powered by analyst expertise and advanced analytics. Better understand how companies are performing and what their projected dividends are with the S&P Global Dividend Forecasting service. We estimate the amount and timing of dividend payments for global securities based on equity research, market announcements and unique quantitative insight. Forecasting out for five years, our global forecasting universe of 32,000+ stocks offer unrivalled coverage. All stocks in the core Dividend Forecasting universe are generated by analysts undertaking fundamental research, tracking the latest dividend policy, and analyzing earnings releases. In addition to our global team of analysts applying a research-based methodology , we have developed an advanced predictive model in partnership with the data science team at S&P Global. By incorporating probabilistic machine learning, statistical modelling, and time series techniques to analyze and uncover patterns, implicit policies and add interconnected datasets, we can better predict dividends for companies, worldwide. The market participants trading Index Dividend Futures can also subscribe to our dividend point service, which provides insight into the expected impact on equity index values. Position summary The successful candidate will work as part of the APAC dividend research team. Members are responsible for providing dividend forecasts for a portfolio of stocks, through in-depth research and financial analysis of company fundamentals. Analysts are also responsible for providing ad-hoc customer-driven research, thematic reports, and customer support. Duties & accountabilities Review and update dividend announcements for APAC region and conduct research required to obtain details, to validate and complete dividend announcements for publication of corporate action for customers Review other corporate actions related to dividends such as mergers, optional dividends, bonus issues, memorial dividends, company name change Analysis of company fundamentals to provide dividend forecasts for APAC stocks Provision of research on equity fundamentals, financial statements, and market announcements Generation of dividend research papers at a sector, country, and regional level Monitor news flow to assess the impact of market events on companies and their dividends Forecast dividend payment schedules A keen awareness of the impact dividends forecasts has on the value of equity derivatives Respond to daily client demands with bespoke analysis Building relationships with investor relations departments at companies within the coverage Education and experience Graduate degree (Finance) / CFA Candidate (Level1 or 2) or equivalent post-graduate study desirable . T he candidate should have a good understanding of equities & capital markets and corporate action . Commercial awareness Keen interest in financial news, market events and their implications Knowledge of financial statement analysis Knowledge of equity derivatives 0 - 3 years of relevant work experience and must be flexible in addressing dynamic business needs Commercial awareness Must have a strong interest in finance and be up to date with current global financial market news . Management requirements : NA Personal competencies Personal impact The candidate must be a self-starter, able to take on multiple tasks at a time, hardworking and efficient Excellent attention to detail and a meticulous eye for identifying inconsistencies or inaccuracies in data entry or data outputs Communication Must demonstrate superior communication skills and is expected to interact professionally across business units within the company Teamwork Being a team player is a vital aspect of the position, and it is expected that the candidate will work well individually, as well as in a global team environment. Works collaboratively with others to achieve group goals and objectives About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected] . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- RESECH202.1 - Middle Professional Tier I (EEO Job Group), RESECH203 - Entry Professional (EEO Job Group) Job ID: 314188 Posted On: 2025-06-18 Location: Noida, Uttar Pradesh, India

Overview Our analysts transform data into meaningful insights that drive strategic decision making. They analyze trends, interpret data, and discover opportunities. Working cross-functionally, they craft narratives from the numbers - directly contributing to our success. Their work influences key business decisions and shape the direction of Comcast. Success Profile What makes a successful Data Scientist 4 at Comcast? Check out these top traits and explore role-specific skills in the job description below. Good Listener Problem Solver Organized Collaborative Perceptive Analytical Benefits We’re proud to offer comprehensive benefits to help support you physically, financially and emotionally through the big milestones and in your everyday life. Paid Time off We know how important it can be to spend time away from work to relax, recover from illness, or take time to care for others needs. Physical Wellbeing We offer a range of benefits and support programs to ensure that you and your loved ones get the care you need. Financial Wellbeing These benefits give you personalized support designed entirely around your unique needs today and for the future. Emotional Wellbeing No matter how you’re feeling or what you’re dealing with, there are benefits to help when you need it, in the way that works for you. Life Events + Family Support Benefits that support you no matter where you are in life’s journey. Data Scientist 4 Location Chennai, India Req ID R414382 Job Type Full Time Category Data Science Date posted 06/17/2025 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 extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. Job Description Core Responsibilities Core Responsibilities You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc. Excellent Communication skills with both US team and the team in India You are a lifelong learner, who is driven by curiosity and a desire to make a positive impact in the organization. You are results-driven, possess business acumen, and an ability to communicate your work and your findings. You are an engineer/manager at heart with an analytical mindset, but with a keen sense of serving the business. You have advanced capabilities in Excel, PowerPoint, SQL, and Python to conduct analyses, build models, and present findings. You have excellent project management, organizational, and collaboration skills. You enjoy working in global teams, assisting and educating less experienced members, while also learning from more senior colleagues. You take initiative and have the ability to drive projects to completion at each phase of the process, from ideation to data acquisition, to engaging with stakeholders, to developing the models, to evaluating and fine-tuning their performance, to productionizing solutions via ML pipelines, to building model performance reports. Knowledge of how supply and demand best practice business and data processes generate business value. Including, but not limited to demand forecasting, inventory management, supply planning, Sales and Operations Planning, and replenishment planning. Demonstrated excellent track record of innovative and effective applications of data science principles, technology, and techniques to solve business problems efficiently. Knowledge of and experience with best practice demand management metrics; forecast accuracy, demand attainment, bias, planner value add. Intelligence, integrity, domain knowledge, and verbal agility that allows you to earn the trust of business and technical teams across the company. Excellent operational and managerial skills required, with a proven track record of successful management of complex, data driven demand forecasting, logistics, supply chain, & operations. The successful candidate will have multiple years of consumer goods retail environment, utilizing advanced modeling techniques as a basis to drive results. A strong analytical & data mindset is essential for this position. Flexible to work and support team with extended time/shifts when and where required. Required Skillset: Should be an effective and prolific doer but should also be a creative thinker who likes to operate outside the box and suggest alternative solutions. Should have experience in developing Forecasting models and understand Demand Planning processes. Understand optimization models, techniques and tools (Gurobi, Coupa, etc.) Experience in Network optimization / Transportation opt Experience in Data science, machine learning or optimization models (linear programming) Experience in Python, SQL or R for model development Knowledgeable in handling large set of data, databases, data warehouse design, cloud storage and ETL best practices. Experience with BI tools like PowerBI and Tableau Experience in data pipelines developments and systems such as SQL, Maria DB etc.. Preferred Requirements: Experience in data science/ops research experience preferably within the supply chain / logistics industry, demand planning, CPG industry and/or retail replenishment. Master’s Degree in Statistics, Operations Research, Data Science, Computer Science or related field is a plus. Experience in supply chain planning systems and their data science capabilities like 09 Solutions, SAP, Blue Yonder or other top tier solutions a plus Knowledge of and experience with leading data reporting applications including Tableau, Power BI, QlikView, etc. is a plu 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 Master'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 7-10 Years

BRIEF OF JOB PROFILE & ROLE AND RESPONSIBILITIES Your duties as Junior Data Scientist are as follows: Design, develop, test, deploy and maintain BI development projects which will include but not limited to Report and Dashboard development, Statistical Modelling, Machine Learning, Artificial Intelligence. Deliver client presentations, create Data Visualizations, and exhibit Data Storytelling skills. Perform complex development tasks and use the technologies as deemed appropriate for the projects by the Employer. Technologies will include SQL, Power BI, Tableau, Python, R, TensorFlow, Cloud based data intelligence and analytics services and tools like SQL Server Analysis Services (SSAS), Data Bricks, Azure Data Factory, AWS Glue. Work directly or indirectly with clients to understand and define requirements, work with other application development teams on various projects. Work with the team of developers. Take directions well from the Team lead/Architect and work together with him/her to contribute to all development, production, and support activities. Participate and work using Agile methodologies like Scrum and conduct the Scrum events appropriately. other duties as may arise from time to time and as may be assigned to the employee. Ensure and implement the best possible performance, quality, and responsiveness of applications. Work together with the team in development and testing efforts. Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues. Exhibit flexible and proactive working style with strong personal ownership of problem resolution. Work to ensure deadlines are met.

Role & responsibilities Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models. Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives. Ensure compliance with established responsible AI policies. Maintain documentation on AI processes. Monitoring the performance of business processes, such as cash applications, order processes, and billing. Identifying issues and resolving them in collaboration with development teams. Providing training data sets for AI models. Interacting with users to understand and solve performance issues in automated processes. Analyzing data and metrics to detect anomalies and optimize processes. Preferred candidate profile Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Masters degree preferred Process domain expertise Experience with AI/ML operations and monitoring tools. Strong problem-solving and analytical skills. Knowledge of AI governance and ethical guidelines. Excellent communication and collaboration skills. Knowledge of machine learning frameworks and libraries Preferred Qualifications: Deep understanding of business processes and how they operate. Technical aptitude to understand systems and processes, including AI solutions. Experience with SAP and ServiceNow is ideal. Competence in data analysis and the ability to interact with large volumes of data. Focus on business analysis and problem-solving rather than software development. Ability to interact with users and provide support in optimizing processes.

Job Description We are seeking a Senior Software Engineer to lead and guide our engineering team in building and enhancing our internal AI Gateway platform. This platform empowers internal organizations to create and deploy AI use cases, integrating with Azure OpenAI, AWS Bedrock, Databricks, and other cloud platforms. You will drive architecture, design, and implementation of scalable data/model management pipelines, agentic AI, RAGs, tracing, and MCP server components. Essential to have hands on Development experience in Python JavaScript, TypeScript, Node JS Essential to have hands on experience in building scalable GenAI applications leveraging LLMs e.g. GPT, Claude, Anthropic using various techniques e.g. RAG, Agentic AI etc. Preferred experience in Developing GenAI Solutions using frameworks e.g. Langchain, LlamaIndex. Preferred experience in building AI pipelines for interaction via Chatbots, User Interface, Autonomous Agents. Must have excellent communication skills to understand complex AI concepts & work with architects to build the solution as well as the ability to explain it to Nontechnical Stakeholders. Preferred experience of deploying solutions on AWS with best, practices. Good to have built capabilities in GenAI backed by evaluation (any existing framework for evaluation or custom built for the specific use case).Contributions to AI research, opensource models or AI hackathons are a plus. Responsib0ilities: Lead the design and development of the AI Gateway platform and its integrations (Azure OpenAI, AWS Bedrock, Databricks, etc.). Architect and implement scalable, secure, and maintainable data/model management pipelines. Guide the team in building agentic AI, RAG (Retrieval-Augmented Generation), tracing, and MCP server solutions. Mentor and upskill team members, conduct code reviews, and enforce best practices. Collaborate with product, DevOps, and data science teams to deliver robust solutions. Drive automation and CI/CD for model and data pipeline deployments. Ensure platform reliability, observability, and security. Requirements: 7+ years of software engineering experience, with at least 2 years in a technical leadership role. Strong Python (FastAPI, asyncio), cloud (Azure, AWS), and data engineering skills. Experience with LLMs, agentic AI, RAGs, and orchestration frameworks. Hands-on with cloud ML services (Azure OpenAI, AWS Bedrock, Databricks). Familiarity with CI/CD, Docker, Kubernetes, and infrastructure-as-code.

Job Overview: We are seeking a highly skilled and experienced Senior Gen AI Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, artificial intelligence, natural language processing & Generative AI with a proven track record of developing and deploying Scalable AI solutions. As a Senior Gen AI Engineer, you will play a crucial role in designing, implementing, and optimising AI models and systems that drive our products and services. Key Responsibilities: Design, develop, and deploy state-of-the-art AI models and algorithms for various applications. Lead and mentor a team of AI engineers and researchers, providing technical guidance and support to ensure successful project execution. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to understand business requirements and translate them into AI-driven solutions. Conduct research and stay up to date with the latest advancements in AI, machine learning, and related fields, and apply this knowledge to improve existing models and develop new ones. Optimise and fine-tune AI models for performance, scalability, and efficiency in real-world applications. Develop and maintain comprehensive documentation for AI models, algorithms, and systems. Participate in code reviews, ensure code quality, and adhere to best practices for software development and AI model deployment. Qualifications: 5+ years of experience in AI, machine learning, or data science, with a focus on developing and deploying AI models. 2+ years of experience in Building Scalable Gen AI Applications. Strong proficiency in python, SQL and FastAPI is must. Implementing end-to-end solutions using Mistral, LLaMA, and OpenAI models are Mandatory. Experience with machine learning & Deep Learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, and Keras. Experience with fine-tuning models using LoRA, QLoRA, and PEFT techniques Proven ability to design and implement complex AI systems, including experience with model training, evaluation, and deployment. Excellent problem-solving skills, with the ability to think creatively and analytically. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. Experience in AWS Platform & Docker is a plus

Experience: 1yr- 5yrs Salary: As per company norms Location: Chinchwad, Pune - Maharashtra Joining: Immediate Industry Type: Education / Training Department: Trainer/ Teaching Faculty Work Mode: Work From Office (Full time Job) Salary: As per the company norms Notice Period : Immediate Job Description : We are looking for an experienced and dynamic Data Science Trainer to join our team. The ideal candidate will be responsible for designing and delivering training sessions on business analytics concepts, tools, and applications. You will equip learners with the skills needed to interpret data, derive insights, and make strategic business decisions. Skills: Power BI, Advance Excel, SQL, Machine learning , Artificial Intelligence, Python Responsibilities and Duties - Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda & execute training sessions Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements.. (Note: PART TIME WORKER PLEASE DO NOT APPLY) Interested candidates can drop their CV on apardeshi@sevenmentor.com OR contact on 8806178325

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology.. Adtech domain experience is mandatory.

Location : Pune (FC Road ] Experience: 2- 6YRS Qualification : Bachelors degree in Computer Science, Engineering, or related field WORK Mode : OFFICE MANDATORY Salary: As per the company norms Notice Period : Immediate Job Description : We are looking for an experienced and dynamic Business Analytics & Data Analytics Trainer to join our team. The ideal candidate will be responsible for designing and delivering training sessions on business analytics concepts, tools, and applications. You will equip learners with the skills needed to interpret data, derive insights, and make strategic business decisions. Skills: Business Analytics, Data Analytics, Power BI, Advance Excel, SQL, Tableau, Python, Jira Tool, Responsibilities and Duties - Deliver engaging and interactive training sessions on Java full stack development. Develop and update curriculum and training materials. Provide hands-on coding exercises and projects to reinforce learning. Assess student performance through quizzes, assignments, and projects. Stay updated with the latest trends and technologies in Java full stack development. Provide one-on-one mentorship and support to students. Collaborate with other trainers and staff to ensure a cohesive learning experience. Web Development . (Note: PART TIME WORKER PLEASE DO NOT APPLY) Interested candidates can drop their CV on aishwaryapawar@sevenmentor.com OR contact on 9503389804

A Python Developer is a software developer who specializes in using the Python programming language to build applications, software tools, and data analysis systems The job description for a Python Developer typically includes the following responsibilities:1 Writing and Testing Code: The Python Developer is responsible for writing clean, maintainable, and efficient Python code, as well as testing and debugging code to ensure that it meets quality standards Designing and Developing Applications: The Python Developer designs and develops applications, software tools, and data analysis systems using Python frameworks and libraries Developing and Maintaining APIs: The Python Developer creates and maintains RESTful APIs that enable seamless integration with other systems and applications

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Application Description - API Management API Management Platform provides a platform to advertise and discover Services/APIs, formalize contracts and SLOs, and automated controls to enforce them. API Gateway being the center of platform, it is a simple and highly scalable technology-agnostic reverse proxy designed to integrate seamlessly with microservices, monolithic apps, and serverless architectures onto cloud Responsibilities and Qualifications As part of our global API Management Platform team you will work on various components as a Software Engineer. Your role includes specification, development, rollout of new features. You are expected to contribute to the vision, understand our product roadmap, integrate business value with experience , and contribute to building an engineering culture within the team. We expect the successful candidate to deliver high quality software and to be passionate about software engineering. You must have a proficient understanding of software development concepts and good understanding of Cloud concepts is needed. How will you fulfill your potential Design and implement the API management ecosystem, including development, API publications, deployment, and monitoring Define guidelines and best practices in API development, standard s and lifecycle management Partner with cloud providers such as AWS to shape the future of public cloud services for finance industry Basic Qualifications Strong technical ability, willingness to learn and evolve your skills with advances in technology 2-5 years of relevant professional experience using a programming language (preferably Java) Hands-on Java developer, with a solid grasp of Java development and testing best practices Experience with CI/CD and automated deployment pipelines Team player, eager to work and collaborate in a global , rapidly developing organization Analytical mindset, creativity , and commercial focus Strong oral and written communication skills Preferred Qualifications Bachelor or Advanced Degree in Computer/Electronics/Electrical or equivalent Knowledge and experience of cloud technologies and tooling Experience working with containers and Kubernetes Experience with API development and tools Working knowledge of Golang or Lua languages Develop full stack applications with due consideration to security, design, validation and SDLC framework Participate in system design consulting and platform management Develop resilient, scalable and secure solutions using cloud native services

We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include: Lead the design and implementation of NLP & GenAI based solutions for real time identification of Key Risk Indicators. Owning the architecture and roadmap of the models and tools from ideation to productionizing Lead a team of data scientists, providing mentorship, performance coaching and technical guidance to build domain depth and deliver excellence Champion governance, interpretability of models from validation point of view Lead R&D efforts to leverage external data (social forums, etc) to generate insights for operational/compliance risks Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping Collaborate with Model consumers, data Engineers, and all related stakeholders to ensure precise implementation of solutions Qualifications: Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent) Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent) Experience in building NLP solutions and/or GEN AI are strongly preferred Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously. Team player with strong relationship building, management and influencing skills Strong verbal and written communication skills