1830 Data Mining Jobs - Page 32

Job Description As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

Every career journey is personal. Thats why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary As a Specialist, Data Management, you will play a critical role in supporting the organizations data management initiatives across one or more aspects of the data lifecycle, ensuring alignment with policies, standards, and data risk controls. Your experience in data classification, metadata management, data quality, data retention and/or data sharing will help strengthen the policy-based frameworks and improve enterprise data usability. You will contribute to the development and implementation of best practices for mastering data domains, regulatory compliance, and data stewardship, collaborating with business and technology teams to drive operational excellence. This role is ideal for a data professional who is passionate about enabling trusted, well-managed data ecosystems and ensuring that data is properly governed, classified, and securely managed. Essential Job Functions Partner with data communities and collaborate cross-functionally with Data Governance, IT and other functions to ensure integration of data quality/management processes. Collaborate with cross-functional teams to address data-related issues and provide innovative solutions. Network with senior internal and external personnel in own area of expertise. - (30%) Work with minimum instruction on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Identify, design, develop and implement data centric solutions driven in alignment to the goals of the Data & Analytics department. - (25%) Demonstrate good judgment in selecting methods and techniques for obtaining solutions. Create and maintain documentation, define and/or implement procedures, ensure compliance with policies and standards and report on established metrics and KPIs. Analyze and interpret data sets to support decision-making processes. Maintain and update data management systems and tools. - (25%) Provide insight in the implementation of data lifecycle management strategies and policies ensure data integrity, security, and accessibility throughout the data lifecycle. Establish evidence from industry research of best practices to expand the policies, standards and procedures. - (10%) Provide leadership in specialization in defined data discipline that is support through clear communication, decision making, conflict resolution and inspiring others to achieve their best. - (10%) Minimum Qualifications Bachelor s Degree in Computer Science, Engineering, or Information Systems; or equivalent work experience. 8+ years of experience working in Data Management roles or Master Data Governance. 4+ years of experience developing complex queries using SQL or any other coding languages. 5+ years of experience using Agile methodologies. Preferred Qualifications 8+ years of experience in MDM, Record Management, and/or Data Protection. 5+ years of experience in Data Lifecycle Management Practices. 5+ years of experience in Financial Services industry. Skills Data Management Software Master Data Management (MDM) Data Mapping Microsoft Tools Data Discovery SQL Coding Business Process Development Business Data Analysis Value Stream Mapping (VSM) Agile Methodology Metadata Analysis Data Mining Tools Reports To : Manager and above Direct Reports : 0 Work Environment Hybrid work environment requiring in office per company policy, can change as per the company policy. Work timings - 1PM IST to 10 PM IST Other Duties This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time. About Bread Financial At Bread Financial, you ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We ve been consistently recognized as a best place to work nationally and in many markets and we re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression. Bread Financial (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers. To learn more about Bread Financial, our global associates and our sustainability commitments, visit breadfinancial.com or follow us on Instagram and LinkedIn . All job offers are contingent upon successful completion of credit and background checks. Bread Financial is an Equal Opportunity Employer. Job Family: Data and Analytics Job Type: Regular

This position will oversee the Credit & Collections function of APJ TD SYNNEX s Center of Excellence (CoE) location. This role requires setting up a full-fledged centralized Credit & Collections team to support our businesses across APJ countries. You will lead credit management and analysis, the cash collections process, and ensure teams deliver timely reporting in accordance with corporate guidance and timelines. This position shall report to Regional Credit VP and work closely with Finance leaders and team members in the APJ region. Responsibilities: Support establishment of the APJ Center of Excellence Set up CoE governance, structure, resourcing, tools and cadence. Clear roadblocks, mitigate risks, and support the APJ region in the centralization of Credit & Collections activities. Build Credit & Collections team within the CoE and support the transition. Support the hiring of skilled and technically inclined Credit & Collections personnel and build capabilities within CoE. Design and implement the centralized processes based on the current business unit structure and requirements. Play a key role in change management to increase adoption and efficiency of CoE. Provide direct support and coaching to in-country teams as they help Credit & Collections members through transitions. Setup supporting tools and systems Design and implementation of Credit & Collections-related tools to improve efficiency of CoE Support relevant tool investment requests prepared by the team, ensure alignment with business needs, and manage the approval process. Manage Credit & Collections activities within the CoE Plan for AOP/Forecast (Credit Cost & DSO) and measure department performance with appropriate metrics Manage relations with factoring and 3rd party financing companies, credit reporting and collections agencies, credit and other insurance providers, resellers and external vendors, as well as sales, marketing and other (internal) customers. Maintain the corporate credit policy and recommend changes to senior management. Create and maintain risk reduction programs such as rating-tools, as well cont. develops on fraud detection processes. Manage periodic customer credit files and Country portfolio risk reviews. Monitor the credit granting and updating process / review cycles. The CoE will support Regional Credit Managers in providing credit recommendations and investigating on the largest customer credit applications. Monitor deductions being taken by customers and organize on management reporting and customer meetings. Manage Finance Solutions Programs/Offerings, as well develop on other alternative financing options. Resolve escalations that arise and ensure smooth functioning of the CoE Identify and execute other transformation efforts relating to Credit & Collections Lead and manage the Credit & Collections team within CoE Build the team s capability and ensure alignment of resources and skills to meet business needs. Coach mentor and empower staff with the goal of skills development and retention. Actively manage the team s development goals. Alignment with key stakeholders and APJ Finance leadership; escalate risks when necessary. Knowledge, Skills and Experience: Master s / Postgraduate degree with business / finance field of study preferred. 10 years of relevant working experience in CREDIT & COLLECTIONS, ideally in IT multinational environment with 5-8 of experience directly managing colleagues Good analytical skills including but not limited to experience developing and shaping key business performance indicators. Experience in Planning and forecasting is an added advantage. Experience with data analytics tools such as Power BI, data mining, and building dashboards that drive decision making. Experience in managing and leading offshoring programs or centers within the APJ region Strong Customer Service orientation. Sensitive to business needs, drives efficiency and best practice. Proven ability to work independently and effectively in a matrix reporting organization. Ability to multitask, work under pressure to meet deadlines, and handle long hours during month-end and quarter-end closing periods. Willingness to acquire new skills / product knowledge. Is committed to delivering and exceeding expectations. Key Skills 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.

Job Description Designation Sales Executive Education MBA Location- SSR Corporate Park, NHPC Chowk, Faridabad Working Mode - Onsite Number of Working Days- 5 Company website - https://consultingprudence.com/ Contact - 9289304830 Role and Responsibilities *Generate leads through calling on queries and prospects. *Drive e-mail campaigns to generate interest among Target Audience. *Build customer data by collecting information from exhibitions and other events. *Developing relationships at CXO levels for co-ordination of demos. *Co-ordinating with Sales Team for demos and lead qualifications.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Assistant Vice President Decision Science Principal responsibilities Apply innovative thinking and analytical techniques including data mining / modeling techniques as applicable to build regulatory models for HSBC Global portfolios in Financial institutions including NBFIs. Coordination with internal and external (front line business, regulatory oversight teams, etc.) stakeholders to understand the requirement of the project and delivery and stick to path of regulatory compliance. Explore new data sources / methods to improve model performance. Identify areas which require data remediation and proactively engage with internal / external stakeholder to address them. Clear documentation / summarization of the analytical output. Overall model risk management. Promote collaboration with Group and Regional teams to achieve business objectives. Support training and participate in technical workshops to enhance overall teams relevance in the industry. Engage with team leads, senior management, project owners and project sponsors as well as model reviewers and approvers to get best output at the first attempt. Requirements 6+ years of experience in banking domain / regulatory risk analytics/ capital management Hands-on experience on at least one regulatory model development in python environment would be preferred. Prior experience in risk management, regulatory risk model development, model risk management would be preferred. Understanding of commercial banking and wholesale related products would be preferred. Highly focused on project delivery, attention to detail Excellent written and verbal communication skills Hands-on statistical knowledge with scorecard /econometric model development capability Strong collaborative, influencing and team building skills Strong analytical and problem solving skills, open minded, flexible, pragmatic Strong documentation and summarizing skills for senior audiences Strong programming skills in Python/SAS and experience of working with large volume of data Good estimating and planning skills Able to progress multiple tasks at the same time Able to work independently, with minimal supervision Willing to work with colleagues in other areas/timezones where appropriate You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Job Summary What do you need to know about the role As a technical lead in PayPal s AI/ML platform team, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, youll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Meet your team We are on a mission to revolutionize commerce globally by developing unique, best-of-breed fraud detection solutions. AI and Machine Learning are key competitive advantages at PayPal, significantly reducing payment risk loss, bringing millions of dollars in revenue, and enhancing the user experience. We are seeking a highly motivated, self-starter ML Engineer to join our AI/ML Engineering team to help achieve this mission. This role will help shape the next generation of checkout at PayPal impacting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience. Job Description Your way to impact The ideal candidate is excellent in problem solving, strategic & analytical in decision making and laser-focused on executing at scale You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success Your role will involve leveraging your technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments With a proven track record in technical execution, youll be instrumental in driving high-quality products and ensuring the successful delivery of projects Your day-to-day Design and deploy scalable traditional and generative AI solutions and productize ML models that enhance PayPals ability to provide a seamless customer experience Work with data scientists and backend engineers to solve complex problems with AI/ML. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform. Highly effective at working in cross-functional groups and getting results in matrix organizations Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning. What do you need to bring 5-8 Years of experience Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience. Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to build enhanced capabilities. Expert in multiple Programming/scripting languages, i.e. Python, Java, Scala and GCP Offerings (BQ, Data Proc and Big Table) Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. Proficiency in SQL, ETL, database design Good understanding of NoSQL database like HBase, Redis, Aerospike. Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in GCP is a plus Experience on front end/web development technology Experience on agile methodology Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platforms capabilities Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner **We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please dont hesitate to apply. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e

This position will oversee the Credit & Collections function of APJ TD SYNNEX s Center of Excellence (CoE) location. This role requires setting up a full-fledged centralized Credit & Collections team to support our businesses across APJ countries. You will lead credit management and analysis, the cash collections process, and ensure teams deliver timely reporting in accordance with corporate guidance and timelines. This position shall report to Regional Credit VP and work closely with Finance leaders and team members in the APJ region. Responsibilities: Support establishment of the APJ Center of Excellence Set up CoE governance, structure, resourcing, tools and cadence. Clear roadblocks, mitigate risks, and support the APJ region in the centralization of Credit & Collections activities. Build Credit & Collections team within the CoE and support the transition. Support the hiring of skilled and technically inclined Credit & Collections personnel and build capabilities within CoE. Design and implement the centralized processes based on the current business unit structure and requirements. Play a key role in change management to increase adoption and efficiency of CoE. Provide direct support and coaching to in-country teams as they help Credit & Collections members through transitions. Setup supporting tools and systems Design and implementation of Credit & Collections-related tools to improve efficiency of CoE Support relevant tool investment requests prepared by the team, ensure alignment with business needs, and manage the approval process. Manage Credit & Collections activities within the CoE Plan for AOP/Forecast (Credit Cost & DSO) and measure department performance with appropriate metrics Manage relations with factoring and 3rd party financing companies, credit reporting and collections agencies, credit and other insurance providers, resellers and external vendors, as well as sales, marketing and other (internal) customers. Maintain the corporate credit policy and recommend changes to senior management. Create and maintain risk reduction programs such as rating-tools, as well cont. develops on fraud detection processes. Manage periodic customer credit files and Country portfolio risk reviews. Monitor the credit granting and updating process / review cycles. The CoE will support Regional Credit Managers in providing credit recommendations and investigating on the largest customer credit applications. Monitor deductions being taken by customers and organize on management reporting and customer meetings. Manage Finance Solutions Programs/Offerings, as well develop on other alternative financing options. Resolve escalations that arise and ensure smooth functioning of the CoE Identify and execute other transformation efforts relating to Credit & Collections Lead and manage the Credit & Collections team within CoE Build the team s capability and ensure alignment of resources and skills to meet business needs. Coach mentor and empower staff with the goal of skills development and retention. Actively manage the team s development goals. Alignment with key stakeholders and APJ Finance leadership; escalate risks when necessary. Knowledge, Skills and Experience: Master s / Postgraduate degree with business / finance field of study preferred. 10 years of relevant working experience in CREDIT & COLLECTIONS, ideally in IT multinational environment with 5-8 of experience directly managing colleagues Good analytical skills including but not limited to experience developing and shaping key business performance indicators. Experience in Planning and forecasting is an added advantage. Experience with data analytics tools such as Power BI, data mining, and building dashboards that drive decision making. Experience in managing and leading offshoring programs or centers within the APJ region Strong Customer Service orientation. Sensitive to business needs, drives efficiency and best practice. Proven ability to work independently and effectively in a matrix reporting organization. Ability to multitask, work under pressure to meet deadlines, and handle long hours during month-end and quarter-end closing periods. Willingness to acquire new skills / product knowledge. Is committed to delivering and exceeding expectations. Key Skills

Nasdaq Technology is looking for a passionate Senior Specialist - Software Engineering with focus on programming and software engineering, to join the Mumbai technology center in India. If Innovation and effectiveness drive, you forward this is the place for you! Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly aiming to rewrite tomorrow. As a Senior. Specialist - Software Engineering, you will be a member of a cross-functional team across the globe, delivering critical solutions and services to our world-leading Market Surveillance team. You will be responsible for essential development activities and internal customer interaction, often working to build strong relations and trust with your client. In this role, you will have the opportunity to work in a strong experienced team delivering complex technology solutions to our internal clients. You will work with and learn from subject matter experts, and have the opportunity to take on more responsibility and progress within the development team. We are looking for candidates with a genuine desire and drive to deliver top technology solutions to todays markets With this position we offer Join the Market Platforms Data organization and modify existing internal software products to add to new functions, adapt to new hardware, improve performance, or enhance product usability. Role Responsibilities - As a Senior Specialist - Software Engineering, your focus will be developing and implementing software solutions. Besides working closely with your colleagues in Mumbai, you will also work closely with Nasdaq teams in other countries. Work with all stages of the product life cycle; requirements, design, implementation, testing, release deployment, troubleshooting, maintenance, improvement, capacity planning, performance monitoring, and alert monitoring. Learn Nasdaq s Company News System (CNS), Central Storage Facility (CSF), and Nasdaq Market Surveillance (NMS) suite of products including Nasdaq s proprietary Alice programming language for developing pattern-detection data mining algorithms. Secondary Skills: Knowledge of linux commands and utilities; bash programming Experience in developing financial applications. Knowledge on Java and Python Knowledge of the Software Development Lifecycle Knowledge of SQL query language We expect you to have: (Minimum Qualifications) At least 8+ years of experience in Software Development. Proficiency in one or more programming languages, such as Angular, React, Java and the ability to learn new ones as required. Proficiency of linux commands and utilities including bash scripting. Experience with software tools and frameworks, such as Git, Visual Studio, SQL Server, etc., and the ability to use them optimally and efficiently. Strong problem-solving and analytical skills that enable you to troubleshoot and resolve complex issues. Does it sound like you? As the selection process is ongoing, please submit your application in English as soon as possible. We will get back to you in 2-3 weeks. Come as you are Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information or any other status protected by applicable law. Education Required: Degree qualified in a discipline related to Computer Science, Information Systems, or equivalent work experience. Would typically have, or be studying, a second degree or masters in a more specialized area, such as financial markets, finance, or mathematics related. Experience Required: At least 8 years Special Qualifications: Will hold further qualifications/certifications across a number of specialist disciplines relevant to role.

We are looking for qualified people who can develop scalable solutions to complex real-world problems using AI/ML, Big Data, Statistics, Econometrics, and Optimization. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Minimum Qualifications Bachelor s degree in Analytics, Computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Analytics, Computer Science, Operational research, Statistics, Applied mathematics or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and AI/ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Title: Data Analyst Intern Location: Chennai Duration: 6 months to 1 Year Internship, with possibility of employment based on performance Position Overview: We are looking for a highly motivated and detail-oriented Data Analyst Intern with an engineering background and a strong interest or academic exposure in accounting and finance. This internship offers an excellent opportunity to gain hands-on experience working with financial data and business intelligence tools to generate actionable insights that support strategic decision-making. The ideal candidate will demonstrate strong logical reasoning, data interpretation capabilities, and a solid grasp of financial principles. You will work closely with cross-functional teams including Finance, Business Intelligence, and Operations, contributing to the analysis, visualization, and reporting of financial and business performance metrics. Key Responsibilities: Extract, clean, and analyze large volumes of financial data to support business performance reviews. Interpret and understand financial statements, budgets, cost structures, and key accounting metrics. Assist in designing, building, and maintaining interactive dashboards and performance reports using Excel, Tableau, and Power BI. Develop visualizations to track KPIs, financial ratios, and business trends. Perform monthly and quarterly variance analyses comparing actuals against forecasts and budgets. Identify trends and patterns to assist in forecasting and planning activities. Ensure data accuracy, consistency, and integrity across reports and dashboards. Support in validating and reconciling financial data from multiple sources. Work alongside finance professionals and analysts to understand reporting requirements and deliver insightful outputs. Participate in internal review meetings and contribute with data-driven recommendations. Education: Pursuing or recently completed a Bachelors degree in Engineering. Academic exposure to Accounting, Financial Management, or Business Analytics is strongly preferred. Skills & Competencies: Basic understanding of accounting concepts such as P&L, balance sheets, cash flows, and financial ratios. Interest in corporate finance, budgeting, and financial reporting processes. Strong logical reasoning and quantitative analysis capabilities. Proficient in Microsoft Excel (formulas, pivot tables, charts, lookups). Working knowledge of Tableau or Power BI for visualization and reporting. Basic understanding of SQL or Python for data querying (optional, added advantage). Familiarity with ERP or financial systems (e.g., SAP, Oracle) is a plus. High attention to detail and commitment to data accuracy. Effective communication and collaboration skills. Proactive learner with a growth mindset. What Youll Gain: Exposure to real-world financial data and reporting frameworks. Experience in business intelligence tools and financial performance analysis. Opportunity to work in a collaborative, fast-paced environment with mentorship from experienced finance professionals. A stepping stone toward roles in FP&A, business analytics, or financial consulting.

Description Gigamon s FP&A team is seeking an energetic and collaborative FP&A Manager I to join our growing organization. This hybrid role is based in our Chennai office and provides flexibility with a mix of remote and onsite work. The role will report to the Senior FP&A Manager who is based in our US headquarters in Santa Clara, CA. The team is highly analytical, business-focused, and integral to Gigamon s financial success, supporting key strategic initiatives and driving data-informed decision-making across the company. This is an individual contributor (IC) role that offers opportunities to interact with management and directly impact the company s financial health and strategic growth by providing actionable insights to leadership. What You ll Do: Support the monthly close process in concert with accounting counterparts. Prepare headcount and expense reporting, reconciliations and forecasting. Prepare monthly budget variance reports Create and maintain standard financial reports in the financial planning tool and prepare monthly expense and functional metrics packages, including creating data visualization, for internal management. Collaborate on quarterly Board of Directors presentations and key business metrics reporting. Partner cross-functionally with internal teams to identify trends, resolve issues, and improve financial processes. Upload and reconcile data from the G/L to the financial planning tool. What You ve Done: B.S. in Finance or Accounting or equivalent 8+ years of experience in a financial planning and analysis role, ideally for a multinational corporation. Expertise in excel/data modeling, data mining, and financial presentation creation. Familiarity with Adaptive Insights (or similar financial planning tool), Microsoft Dynamics 365, Snowflake and Tableau is highly desirable. An analytical thinker with a proven ability to interpret complex data and provide meaningful insights. Who You Are: The ideal candidate is organized and detail-oriented with excellent analytical and problem-solving skills. You are a self-starter with a positive attitude, strong interpersonal skills, and the ability to work independently and effectively across teams and regions. You bring initiative, curiosity, creativity, and a solutions-focused mindset, making you a key contributor to the success of the FP&A team. You thrive working with large data sets and calculating trends and metrics from it. Familiarity with financial planning tools and a drive for continuous improvement are valuable assets. We are committed to a diverse, equitable, and inclusive Gigamon. As an equal opportunity employer all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability.

Educational Bachelor of Engineering,BCA,BSc,Bachelor Of Technology (Integrated),MBA,MCS,MSc,MTech Service Line Enterprise Package Application Services Responsibilities You will own and drive the end-to-end implementation of the Celonis/SAP Signavio/MS Power Automate Process Mining/AssistEdge Discover/Pega Process Mining engagements across various customers. You will help customers drive significant business outcomes and ROI by leveraging the insights uncovered through process and task mining. You will collaborate directly with process owners and technical teams within each customer to understand their goals, objectives and requirements and translate them into technical requirements. You will plan, schedule and manage project timelines and activities from project kick-off through completion to ensure each project is delivered on time and meets customer requirements. You will coordinate with Data Engineer to connect the process mining application with the customers’ source systems. You will support extraction and transformation of customers' data and load into the process mining application. You will design customized process dashboards, analyses and reports. You will coordinate with Technical Engineers to set-up the task mining application across the customers’ organization and users. You will support data capture of users’ tasks and load into the task mining application. You will analyze the task mining outputs, create dashboards and reports. You will present implementation results to Infosys and customer leadership. You will organize and lead customer workshops. Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional : Primary skills:Celonis You have 5+ years experience in Business Process Management (BPM)/Process Optimization Initiatives/Technology Consulting or software services implementations. You have strong analytical skills, especially in applying technology solutions to core business problems. SAP functional knowledge of at least one of the processes (P2P, O2C, AP, AR, etc.) will be a big plus. You have basic SQL understanding and process visualization experience. You have strong communication skills and ability to explain solutions in person and in writing. Provide guidance and mentorship to junior data engineers, fostering a culture of continuous learning and improvement within the team. Create and maintain comprehensive documentation for data models, processes, and systems to facilitate knowledge sharing. Preferred Skills: Technology-Automated Testing-Automated Testing - ALL

Amazon s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. Our systems process billions of products to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog. We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands to be added to Amazon s catalog. The datasets produced by our team are used by teams across Amazon to improve: product information, search and discoverability, pricing, and delivery experience. Our work involves building state-of-the-art Information Retrieval (IR) systems to mine the web and automatically create structured entities from un-structure/semi-structured data. We constantly stretch the boundaries of large scale distributed systems, Elastic Computing, Big Data, and SOA technologies to tackle challenges at Amazon s global scale. We are looking for SDEs with strong technical knowledge, established background in engineering large scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from design to coding, testing, and deployment, to achieve results in a fast paced environment. Work with Sr.SDEs and Principal Engineers to drive the technical and architectural vision of SM systems responsible for generation of structured domain entities from structured/semi-structured data. Develop systems and extensible frameworks for complete lifecycle management of domain entities and inter-entity relationships Build scalable platform capabilities for data processing, meta data generation and guardrails . Solve complex problems in automated identity generation, web-to-Amazon namespace translation, and classification of products. Design and develop solutions for efficient storage and vending/search of products and related information. Utilize serverless and big data technologies to develop efficient algorithms that operate of large datasets. Lead and mentor junior engineers, and drive best practices around design, coding, testability, and security. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Bachelors Degree in Computer Science, advanced degrees preferred. Experience building complex software systems that have been successfully delivered to customer. Deep technical expertise and hands-on architectural understanding of distributed and service-oriented architectures. Has delivered large-scale enterprise software systems or large scale online services. Solid programming skills in OO languages (Java/Scala/C++/Python etc) and a deep understanding of object oriented design. Advanced knowledge of data structures and at ease in optimizing algorithms. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent Masters degree in computer science or equivalent A deep understanding of software development life cycle and a good track record of shipping software on time Experience in data mining, machine learning algorithms, rules engines, and workflow systems. Deep understanding of SOA with proven ability in building highly scalable and fault tolerant systems using Cloud computing technologies. Deep understanding of Map Reduce paradigm with experience in building solutions using Big Data technologies like Spark, Hive etc . Experience in developing efficient algorithms that operate on large datasets. Exposure to AWS technologies is a big plus.

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparationCollect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model developmentDesign and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluationEvaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deploymentDeploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AIShould have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI

Job Title: Data Science Associate Company: MFL One About the Company: We are a leading fintech company that leverages cutting-edge technology, advanced analytics, and deep expertise to help customers manage their financial lives more effectively. We are committed to harnessing the power of data to drive innovation, make informed decisions, and create potential opportunities for our clients and partners. The Data Science Associate will be responsible for leveraging large data sets to solve complex business problems, helping the company deliver innovative financial products and services to its customers. You will work closely with various teams including product, marketing, operations, and technology to apply data science methodologies, deliver insights and implement machine learning algorithms that contribute to our companys strategic initiatives. Key Responsibilities: Data Analysis and Modeling: Analyse large, complex datasets to extract insights and decide on the applicable Machine Learning/Artificial Intelligence models. Use data mining techniques to process structured and unstructured data and identify patterns. Algorithm Development: Develop and implement machine learning algorithms and models, ensuring their alignment with business requirements. Improve the performance of existing ML models. Collaboration: Collaborate with cross-functional teams to understand the business needs and formulate data-driven solutions. Assist in the integration of machine learning algorithms with existing systems. Presentation of Findings: Communicate complex quantitative analyses in a clear, precise, and actionable manner to management and technical audiences. Maintaining Up-to-date Knowledge: Keep abreast of the latest developments in the field of data science and fintech. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience working with statistical computer languages such as R, Python, SQL, etc. Experience with machine learning techniques and algorithms. Experience in data visualisation tools like Tableau, Power BI, etc. Understanding of the fintech industry, financial markets, and financial products is a plus. Strong problem-solving skills with an emphasis on product development. Excellent written and verbal communication skills for coordinating across teams.

We have an exciting opportunity for you to leverage AI/ML to deliver actionable insights across the Card business. As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods. Job Responsibilities Uncover novel use cases of Big Data analytics for the Credit Card business. Drive data science/AIML use case development supporting the Card business. Help partners define business problems and scope analytical solutions. Build an understanding of the problem domain and available data assets. Research, design, implement, and evaluate analytical approaches and models. Perform ad-hoc exploratory statistics, data mining, and model testing. Investigate data visualization techniques for conveying key findings. Required Qualifications, Capabilities, and Skills Bachelor s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field. Exceptional analytical, quantitative, problem-solving, and communication skills. Demonstrated intellectual curiosity for solving business problems. Excellent leadership, consultative partnering, and collaboration skills. Knowledge of statistical software packages (e. g. , Python, R, SAS) and data querying languages (e. g. , SQL). Experience with modern data science tools (e. g. , OpenAI, SQL, Spark, Python). Preferred Qualifications, Capabilities, and Skills Understanding of key drivers within the credit card P&L. Financial services background preferred. M. S. equivalent preferred. We have an exciting opportunity for you to leverage AI/ML to deliver actionable insights across the Card business. As a Data Science Senior Associate within the Card Data and Analytics team, you will leverage your skills and experience in building insights from advanced analytics, Gen AI/LLM tools, and data querying to support our Credit Card business. This role combines consulting know-how, analytical proficiency in statistics, data science, machine learning/AI, proficiency in SQL/Python programming, and visualization methods. Job Responsibilities Uncover novel use cases of Big Data analytics for the Credit Card business. Drive data science/AIML use case development supporting the Card business. Help partners define business problems and scope analytical solutions. Build an understanding of the problem domain and available data assets. Research, design, implement, and evaluate analytical approaches and models. Perform ad-hoc exploratory statistics, data mining, and model testing. Investigate data visualization techniques for conveying key findings. Required Qualifications, Capabilities, and Skills Bachelor s degree in a relevant quantitative field and 6+ years of data analytics experience or advanced degree in an analytical field. Exceptional analytical, quantitative, problem-solving, and communication skills. Demonstrated intellectual curiosity for solving business problems. Excellent leadership, consultative partnering, and collaboration skills. Knowledge of statistical software packages (e. g. , Python, R, SAS) and data querying languages (e. g. , SQL). Experience with modern data science tools (e. g. , OpenAI, SQL, Spark, Python). Preferred Qualifications, Capabilities, and Skills Understanding of key drivers within the credit card P&L. Financial services background preferred. M. S. equivalent preferred.

We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required qualifications, capabilities, and skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology, help transform business requirements into AI/ML specifications, define milestones and ensure timely delivery. Work with product and business teams to define goals and roadmaps, maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor junior team members in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution and ensure accountability. Required qualifications, capabilities, and skills Formal training or certification on Predictive Science concepts and 5+ years applied experience Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning, artificial intelligence and ability to set teams up for success in speed and quality, design effective metrics and hypotheses. Expert in at least one of the following areas Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark, strong grasp on vector operations using numpy, scipy and strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members, effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills 14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience. Experience working at code level

Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company. Were seeking top talent for our AI engineering team to integrate machine learning into our key products, working closely with our tech partners. This role, part of the Payments Trust & Safety Team, offers a unique opportunity to influence the financial services industry by developing impactful Machine Learning solutions. Join us in building next-gen technology that leverages JPMorgans unique data and full-service advantage to create high-impact AI applications and platforms. As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC. Job Responsibilities Collaborate with all of JPMorgan s lines of business and functions to delivery software solutions. Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and 5+ years applied experience MS or PhD and a degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Java, Python or other equivalent languages. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Strong analytical and critical thinking skills. Self-motivation, great communication skills and team player. Preferred qualifications, capabilities and skills Cloud computing Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. Experience in big data technologies Hadoop, Hive, Spark, Kafka. Experience in distributed system design and development Embark on a transformative journey with JPMorgan as we evolve into a technologically advanced, client-focused company. Were seeking top talent for our AI engineering team to integrate machine learning into our key products, working closely with our tech partners. This role, part of the Payments Trust & Safety Team, offers a unique opportunity to influence the financial services industry by developing impactful Machine Learning solutions. Join us in building next-gen technology that leverages JPMorgans unique data and full-service advantage to create high-impact AI applications and platforms. As a Applied AI ML Lead within the Payments AI/ML team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results. You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMC. Job Responsibilities Collaborate with all of JPMorgan s lines of business and functions to delivery software solutions. Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and 5+ years applied experience MS or PhD and a degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Java, Python or other equivalent languages. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Knowledge of machine learning frameworks Tensorflow, Caffe/Caffe2, Pytorch, Keras, MXNet, Scikit-Learn. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB. Strong analytical and critical thinking skills. Self-motivation, great communication skills and team player. Preferred qualifications, capabilities and skills Cloud computing Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes. Experience in big data technologies Hadoop, Hive, Spark, Kafka. Experience in distributed system design and development

Job Description This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation and delivery. You should have deep knowledge of AI/ML with experience implementing LLM based projects and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Executes creative software solutions using AI/LLM, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, reviews and debugs code written by others. Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required qualifications, capabilities, and skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems or equivalent experience. Track record of Leading AI/ML or Software development teams. Experience as a hands-on practitioner developing production AI/LLM solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, Keras, Scikit-Learn. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills Experience working in RAG based LLM projects. Experience working in the field of MLOps. Good communication skills. Working experience in Innovation based projects is preferred. Job Description This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation and delivery. You should have deep knowledge of AI/ML with experience implementing LLM based projects and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Executes creative software solutions using AI/LLM, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, reviews and debugs code written by others. Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required qualifications, capabilities, and skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems or equivalent experience. Track record of Leading AI/ML or Software development teams. Experience as a hands-on practitioner developing production AI/LLM solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, Keras, Scikit-Learn. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. Preferred qualifications, capabilities, and skills Experience working in RAG based LLM projects. Experience working in the field of MLOps. Good communication skills. Working experience in Innovation based projects is preferred.

We are looking for qualified people who can develop scalable solutions to complex real-world problems using AI/ML, Big Data, Statistics, Econometrics, and Optimization. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Minimum Qualifications Bachelor s degree in Analytics, Computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Analytics, Computer Science, Operational research, Statistics, Applied mathematics or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e. g. , C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and AI/ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc. ; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc. ; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Working with data cleaning, processing, and analyzing it to identify patterns, trends, and insights Data collection, data quality assessment data modeling developing reports and dashboards and communicating findings to stake holders A data analyst

Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Required Candidate profile Ability to work with stakeholders to assess potential risks. Analyze existing tools and databases and provide software solution recommendations. Understanding of addressing and metadata standards. Perks and benefits Flexible Work Arrangements. Bonuses.

Posted On 01st Jul, 2025 : We are a product-based company and our customers are globally renowned OEMs like L&T, Ammann, Volvo, JCB, CNH, Atlas Copco, and a very big list of customers across Road Construction, Mining, Agriculture, Aerial platforms. As we are growing very rapidly, this is going to be an excellent opportunity for growth of individual in terms of technicalities and management. Position Sales Engineer Agricultural Auto Steering and Land Leveling Systems Experience Minimum 1 year Location Gandhinagar, Gujarat : : Identify and target new markets and customer segments in the agricultural sector. Develop and execute sales strategies to achieve sales targets and business growth. Build and maintain relationships with dealers, distributors, and end-users (farmers, contractors). : Demonstrate the features and benefits of auto-steering and land leveling systems to customers. Provide technical guidance on product selection, installation, and usage. Stay updated on technological advancements and market trends in precision agriculture. : Conduct customer training sessions on system usage and maintenance. Address customer inquiries and provide after-sales technical support to ensure satisfaction. Collaborate with the service team to resolve technical issues promptly. : Strong understanding of precision farming technologies, especially auto-steering and land leveling systems. Excellent communication and interpersonal skills to interact with farmers and dealers effectively. Proficiency in problem-solving and providing technical solutions. Self-motivated with the ability to work independently and as part of a team. Willingness to travel extensively within the region. Knowledge of GPS-based systems, laser leveling, and other agricultural automation tools is an advantage. : Diploma/B.E. in relevant engineering fields. Key Skills : Company Profile Multinational Company into Manufacturing of Individual Solutions of --- Construction Machinery Industry .

Posted On 08th Apr, 2025 : JobDescription Responsible for offer preparation including size & selection of filtration screens and related products for various applications. Interact & communicate with customers across India and provide full support during pre-sales & after-sales process. Interact and communicate with colleagues in other entities of group companies for inter-company sales that includes submission of offers , order processing and coordination for shipment. Check & Process all sales orders to facilitate effective manufacturing & dispatch. Liaise with external sales, production and procurement departments for optimum delivery of product to customers across India. Arrange for inspection & timely dispatch of manufactured products to various customers as per needs. Handle customer complaints on priority in co-ordination with external sales and operations team. Follow-up for outstanding payments Timely submission of sales reports and monthly billing plans. Maintain proper records in Sales Force for all customer activities inquiries, offers, orders, customer complaints, etc EducationalQualification,Experience& Skills: -Degree Mechanical Engineer from reputed institute with 3 - 5 years of internal sales experience preferably in engineering / process Industry. Capable of working independently and interacting at various customer levels. Aptitudeforlearningnewproducts/technologyusedinsolid-liquidfiltrationprocessinengineering,F&BandMiningindustries. ExperienceinSAPandSalesForce. Abletoreadandinterprettechnicaldrawings. Fundamentalknowledgeofengineeringdesignformulasandcalculations. GoodCommunicationwithpositiveattitudeandinter-personalrelationship. Key Skills : Company Profile A leading global provider of screening and auxiliary solutions, supporting industries like water wells, environmental, energy, and more, with products like vibrating --- and wedge wire ---.