15431 Machine Learning Jobs - Page 4

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to create exceptional and detailed architectural application design and provide thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. ͏ Do 1. Develop architectural application for the new deals/ major change requests in existing deals a. Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. b. Manages application assets and directs the development efforts within an enterprise to improve solution delivery and agility c. Guides how to construct and assemble application components and services to support solution architecture and application development d. Maintains the frameworks and artefacts used in the implementation of an application, with reference to the systematic architecture of the overall application portfolio e. Responsible for application architecture paradigms such as service-oriented architecture (SOA) and, more specifically, microservices, ensuring business achieve agility and scalability for a faster time to market ͏ f. Provide solution of RFP’s received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration design framework/ architecture Depending on the client’s need with particular standards and technology stacks create complete RFPs Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Tracks industry and application trends and relates these to planning current and future IT needs g. Provides technical and strategic inputs during the project planning phase in the form of technical architectural designs and recommendations h. Account mining to find opportunities in the existing clients i. Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture. j. Identifies implementation risks and potential impacts. k. Create new revenue streams within applications as APIs that can be leveraged by clients l. Bring knowledge of automation in application by embracing Agile and dev-ops principles to reduce manual part ͏ 2. Understanding application requirements and design a standardize application a. Creating Intellectual Property in forms of services, patterns, models and organizational approaches b. Designing patterns, best practices and reusable applications that can be used for future references c. Ensure system capabilities are consumed by system components and set criteria for evaluating technical and business value in terms of Tolerate, Invest, Migrate and Eliminate d. Provide platform to create standardize tools, uniform design and techniques are maintained to reduce costs of maintenance e. Coordinating input on risks, costs and opportunities for concepts f. Developing customised applications for the customers aligned with their needs g. Perform design and code reviews thoroughly on regular basis, keeping in mind the security measures h. Understanding design and production procedures and standards to create prototypes and finished products i. Work closely with systems analysts, software developers, data managers and other team members to ensure successful production of application software j. Offer viable solutions for various systems and architectures to different types of businesses k. Seamless integration of new and existing systems to eliminate potential problems and maintain data structure and bring value in terms of development l. Transforming all applications into digital form and implement and evolve around mesh app and service architecture that support new technologies like IOT, blockchain, machine learning, automation, BOTS etc ͏ m. Cloud Transformation: (Migration) Understanding non-functional requirements Producing artefacts such as deployment architecture, interface catalogue Identify internal and external dependency, vendor and internal IT management Support build and testing team n. Cloud Transformation: (Modernization) Understanding and Defining target architecture in Integration space Assessing project pipeline / demand and align to target architecture Technical support of delivery team in terms and POC and technical guidance o. Keep Up-to-date with the latest technologies in the market Mandatory Skills: SAP HANA Cloud Integration. Experience: 8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Position : Research Trainee Intern JOB DESCRIPTION: 1. Market and Competitor Research: Conduct research to analyze current market trends, consumer behavior, and competitor activities. Assist in the preparation of competitive analysis reports, highlighting key opportunities and threats for clients. Gather insights from secondary data sources such as industry reports, databases, and online platforms. 2. Audience Research and Segmentation: Help identify and analyze target audience segments based on demographic, psychographic, and behavioral data. Assist in creating audience personas that guide digital marketing strategies and content creation. 3. Content Research and Trend Analysis: Research trending topics, keywords, and social media conversations relevant to clients’ industries. Provide insights into content performance across various platforms (e.g., social media, blogs, websites) to guide content creation strategies. 4. Data Collection and Reporting: Assist in gathering data from different sources such as Google Analytics, social media insights, and industry reports. Support the team in synthesizing data into clear, actionable insights and presenting them in reports. 5. Survey and Focus Group Support: Assist with the creation and distribution of surveys or questionnaires for primary research. Help organize and analyze focus groups, including summarizing findings and identifying key takeaways. 6. Collaborate with Marketing Teams: Work closely with content creators, social media managers, and strategists to align research findings with ongoing marketing initiatives. Assist in developing actionable marketing recommendations based on research insights. Location-Andheri, Mumbai, Maharashtra Job Types: Full-time, Fresher, Internship Contract length: 3 months Pay: ₹8,000.00 - ₹10,000.00 per month Work Location: In person

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. _____________________________________________________________________________ Department: Data & Analytics Location: Cyber Hub, Gurugram, Haryana (5 days in office) Job Type: Permanent, Full-Time (40 Hours) Reports To: Senior Manager Data Science & Analytics _____________________________________________________________________________ About the role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Roles & Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3 - 4 years for Data Scientist Relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) #LI-DS1

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Python (Programming Language) Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing algorithms, and presenting insights that support strategic decision-making processes within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentorship within the team to enhance overall performance. - Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of machine learning algorithms and their applications. - Experience with data analysis and statistical modeling techniques. - Familiarity with data visualization tools to effectively communicate insights. - Ability to work with large datasets and perform data preprocessing tasks. Additional Information: - The candidate should have minimum 12 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education

Job Information Date Opened 08/07/2025 Job Type Full time Industry Education Work Experience 1-3 years Salary ₹20,000 - ₹30,000 City Nagpur State/Province Maharashtra Country India Zip/Postal Code 440001 About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement “To Provide Measurable & Transformational Value To Learners Career” Vision Statement ““To Be The Most Successful & Respected Job-Oriented Training Provider Globally.” We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Job Description Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI / Tableau Create and update course materials, projects, assignments, and quizzes. Provide hands-on training and real-world project guidance. Evaluate student performance, provide constructive feedback, and track progress. Stay updated with the latest trends, tools, and technologies in Data Science. Mentor students during capstone projects and industry case studies. Coordinate with the academic and operations team for batch planning and feedback. Assist with the development of new courses and curriculum as needed. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong communication, presentation, and mentoring skills. Prior teaching/training experience is a strong advantage. Certification in Data Science or Machine Learning (preferred but not mandatory).

C onducting research aligned to the roadmaps to de-risk/ mature and insert advanced AI concepts to Honeywell products (latest advancements in generative AI / Causal / Knowledge Graphs, machine learning, and deep learning techniques ) R esearching, designing, implementing, scalable AI based solutions to solve high value & challenging customer problems and drive opportunities for new growth L eads prototyping (what–ifs) supporting pilot programs for R&D purposes. C ollaborating with cross-functional teams to develop data-driven solutions. R esponsible for problem analysis, stakeholder interaction, solution design, front end and back-end integration, maintenance, and support of data science and analytics solutions D evelop guidelines and standards for analytics and machine learning models, their deployment, and associated processes Y ou Must Have: B achelors / Master’s degree in Engineering, Applied Mathematics or related field S trong analytics skills: ability to assess data, drive insights, and make recommendations. S trong experience in manipulating data sets and building statistical models. S trong problem-solving skills with an emphasis on product development. C hemical engineers with APC/APM experience shall be added advantage E xperience supporting fast-paced startup engineering teams I n-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem) P roficiency in programming languages & libraries C loud: AWS, Azure. L anguages: Advanced Python, pySpark F ramework: Lambda , Django, Express. D atabase: Postgres, Mongo, ES H ands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications M inimum 4 years of relevant experience in data science related product development H

D esign, develop and implement robust and scalable Python based applications. Need to work closely with cross-functional teams to understand requirements, analyze data, and provide technical solutions to address business needs. Your key responsibilities will include developing and maintaining Python scripts, libraries, and applications, integrating with various data sources and APIs, and ensuring the quality and reliability of the software. You should have a strong background in Python programming, familiarity with object-oriented design principles, and experience in working with databases, web services, and cloud technologies. Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced environment are essential for this role. A nalyze plant data to identify opportunities for process improvements and efficiency gains. C ollaborate with cross-functional teams to develop and implement process control projects. P rovide technical support and training to plant personnel on APC technologies and methodologies. S tay abreast of the latest developments in process control technologies and industry best practices. W ill be part of a product that utilizes process data and performs advanced analytics to provide real-time insights. The engineer will be responsible to process the data and make it ready for consumption by machine learning algorithms Y ou must have: 7 to 10 years of experience B achelor’s or master’s degree in chemical engineering or computer engineering or a related field. S trong analytics skills: ability to assess data, engineer / process it for consumption by ML models P roficiency in programming languages & libraries • loud: AWS, Azure. • anguages: Advanced Python, pySpark • ramework: Lambda , Django, Express. • atabase: Postgres, Mongo, ES E xperience in developments related to Industrial Automation Domain H ands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications K nowledge on packaging python applications P referred development experience with agile methodologies U nderstanding on version control system – git/bitbucket, DevOps toolset, Github Copilot A bility to leverage productivity enhancing tools to enable faster delivery, more features W illingness to explore and adopt to new trends and align to organizational goals D emonstrate excellent analytical, technical, interpersonal, be a good team player and be able to perform independently C hemical engineers with APC/APM experience shall be added advantage H

We are united in our mission to make a positive impact on healthcare. Join Us! South Florida Business Journal, Best Places to Work 2024 Inc. 5000 Fastest-Growing Private Companies in America 2024 2024 Black Book Awards, ranked #1 EHR in 11 Specialties 2024 Spring Digital Health Awards, "Web-based Digital Health" category for EMA Health Records (Gold) 2024 Stevie American Business Award (Silver), New Product and Service: Health Technology Solution (Klara) Who we are: We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed's global headquarters is based in Boca Raton, FL, with a growing office in Hyderabad, India, and a robust remote workforce across the US, Chile, and Germany. Job Overview: ModMed is seeking an experienced and highly skilled Data Scientist with a strong background in machine learning, predictive analytics, and healthcare data. This individual will play a critical role in developing and implementing advanced analytics solutions to optimize healthcare delivery and patient outcomes. As part of our innovative team, you will work with large, complex datasets to build predictive models, uncover trends, and improve healthcare operations through data-driven insights. If you have a passion for leveraging data to solve complex healthcare challenges and are well-versed in the latest data science methodologies, we would love to hear from you. Key Responsibilities : Data Modeling and Analytics: Develop and implement machine learning models, algorithms, and statistical tools to process large volumes of healthcare data for predictive insights and optimization. Data Mining and Exploration: Analyze structured and unstructured data to discover trends, correlations, and patterns that can drive new product features or enhance existing offerings. Predictive Analytics: Build predictive models to anticipate patient needs, streamline operational workflows, and improve healthcare delivery. Research and Development: Keep abreast of the latest developments in machine learning, data science, and healthcare analytics to drive innovation and improvement in ModMed's AI offerings. Skillset & Qualification: Technical Expertise: Proficient in Python, R, SQL, and data manipulation libraries (e.g., Pandas, NumPy, SciPy). Strong experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). Familiarity with big data platforms like Hadoop, Spark, or AWS/GCP. Experience working with healthcare data formats (HL7, FHIR) and privacy standards (HIPAA) is a plus. Machine Learning & Statistics: Expertise in building and deploying machine learning models, including classification, regression, and clustering techniques. Education: Bachelor's or Master's degree in Data Science, Generative AI, Computer Science, Mathematics, Statistics, or a related technical field. Experience: 10+ years of experience in data science, Generative AI, machine learning, or predictive modeling, preferably in healthcare or a similar data-rich domain. Problem Solving: Strong analytical skills with the ability to translate complex business problems into data-driven solutions. Communication: Excellent verbal and written communication skills to explain technical concepts to non-technical stakeholders. Preferred: Experience with healthcare-related analytics, including patient outcomes, clinical workflows, and operational efficiencies. ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits: India Meals & Snacks: Enjoy complimentary office lunches & dinners on select days and healthy snacks delivered to your desk, Insurance Coverage: Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees, Allowances: Annual wellness allowance to support your well-being and productivity, Earned, casual, and sick leaves to maintain a healthy work-life balance, Bereavement leave for difficult times and extended medical leave options, Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave, Celebration leave to make your special day even more memorable, and company-paid holidays to recharge and unwind. United States Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution, 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address ( [email protected] ). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. System Administrator - AI/ML Platform: We are looking for a detail-oriented and technically proficient AI/ML Cloud Platform Administrator to manage, monitor, and secure our cloud-based platforms supporting machine learning and data science workloads. This role requires deep familiarity with both AWS and Azure cloud services, and strong experience in platform configuration, resource provisioning, access management, and operational automation. You will work closely with data scientists, MLOps engineers, and cloud security teams to ensure high availability, compliance, and performance of our AI/ML platforms. Your responsibilities will include: Provision, configure, and maintain ML infrastructure on AWS (e.g., SageMaker, Bedrock, EKS, EC2, S3) and Azure (e.g., Azure Foundry, Azure ML, AKS, ADF, Blob Storage) Manage cloud resources (VMs, containers, networking, storage) to support distributed ML workflows Deploy and Manage the open source orchestration ML Frameworks such as LangChain and LangGraph Implement RBAC, IAM policies, Azure AD, and Key Vault configurations to manage secure access. Monitor security events, handle vulnerabilities, and ensure data encryption and compliance (e.g., ISO, HIPAA, GDPR) Monitor and optimize performance of ML services, containers, and jobs Set up observability stacks using Fiddler , CloudWatch, Azure Monitor, Grafana, Prometheus, or ELK . Manage and troubleshoot issues related to container orchestration (Docker, Kubernetes – EKS/AKS) Use Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Bicep to automate environment provisioning Collaborate with MLOps teams to automate deployment pipelines and model operationalization Implement lifecycle policies, quotas, and data backups for storage optimization Required Qualification: Bachelor's/Master’s in Computer Science, Engineering, or related discipline 7 years in cloud administration, with 2+ years supporting AI/ML or data platforms Proven hands-on experience with both AWS or Azure Proficient in Terraform, Docker, Kubernetes (AKS/EKS), Git, Python or Bash scripting Security Practices: IAM, RBAC, encryption standards, VPC/network setup Requisition ID: 611330 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Organization Description Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment. Employer Description JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As a Quant Modeling Associate – Credit Risk in India, you will support critical statistical development projects and related analysis. Your role will involve developing, testing, and validating statistical models utilized to f orecast credit impairment for fixed income securities . You will utilize your advanced analytical skills to perform data extraction, sampling, and statistical analyses. You will also design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Job responsibilities Develop regulatory stress testing and reserve provisioning models, utilizing econometrics and financial mathematics Design and create platforms for smoothly integrating credit risk forecasting models to enhance performance and scalability while ensuring accuracy Conduct research and development prototypes to identify new ways of using technologies, enabling innovation and delivering products Solve unstructured business problems to deliver effective suite of solutions within a timebound manner Adapt agile practices to deliver product development analysis, build and implementation of next generation (AI) solutions to effective credit risk monitoring and review Collaborate across teams and geographies to leverage data, technology and platforms to build analytical tools, as well as to help design and build the next generation of intelligent solutions Embrace a control focused culture, develop strong understanding of business and credit risk to partner effectively with stakeholders Required qualifications, capabilities, and skills Proficiency in statistical modeling techniques, including multivariate regression, time series analysis, panel data analysis, logistic regression, and machine learning algorithms. Professional experience or deep interest in data analytics, artificial intelligence and data visualization tools/ techniques Problem solving skills to create solutions to potentially complex business challenges Candidate must be able to lead, multitask, thrive in a fast-paced environment managing multiple ad-hoc analytical requests and prioritize work accordingly. A strong academic background, with a minimum of a bachelor's degree in a technical or quantitative field such as Statistics, Economics, Finance or Mathematics . JPMorgan welcomes candidates from all academic disciplines Preferred qualifications, capabilities, and skills Knowledge of regulatory modeling (CECL / CCAR /IFRS9) preferred. Proficiency in advanced analytical languages such as Python, R (Preferred)

we are hiring Lead Data Scientist !!! As a seasoned Lead Data Scientist , you will join our team in Bangalore and play a pivotal role in driving the development and implementation of advanced data and AI solutions. Responsibilities Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact. Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies. Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs. Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment. Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities. Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization. Lead and contribute to AI research initiatives, publishing findings and representing the organization in industry forums and events. Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy. Champion the adoption of AI ethics and governance principles, embedding responsible AI practices into our solutions and processes. Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence. Requirements : Proven experience as a Data Scientist for minimum 5 years. Solid understanding of machine learning. Knowledge of data management and visualization techniques. Good knowledge of R, Python and MATLAB Experience with SQL and NoSQL databases Strong project management skills and proven ability working in cross-functional teams and mentoring talent. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,400,000.00 per year Benefits: Provident Fund Experience: Data science: 4 years (Preferred) Work Location: In person

Join Teleperformance – Where Excellence Meets Opportunity! Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach. Why Choose Teleperformance? We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us. Utilize advanced support technologies and processes engineered to achieve outstanding results. We cultivate lasting client relationships and make positive contributions to our local communities. Become Part of an Exceptional Team! Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments. Job Description Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc.). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives. Be One of Our People: It is our mission to always provide an environment where our employees feel valued, inspired, and supported, so that they can bring their best selves to work every day. We believe that when employees are happy and healthy, they are more productive, creative, and engaged. We are committed to providing a workplace that is conducive to happiness and a healthy work-life balance. We also believe that to be our best selves, we need to be surrounded by people who are positive, supportive, and challenging. We are committed to creating a culture of inclusion and diversity, where everyone feels welcome and valued. Teleperformance is an Equal Opportunity Employer Job Application Accommodation: If you have questions or need an accommodation for any disability during this application, please contact your local Teleperformance location for assistance.

Position Title: Placement Officer (Onsite) Company: CliniLaunch Department: Career Services Location: Kudlugate, Bangalore Employment Type: Full-time Job Summary We are seeking a proactive and motivated Placement Officer to facilitate career opportunities for students enrolled in our Cybersecurity and Artificial Intelligence & Machine Learning courses. The ideal candidate will have a strong background in career services, a deep understanding of the tech industry, and a passion for helping students achieve their professional goals. Key Responsibilities Career Development Support: Provide one-on-one and group counseling sessions to students regarding career options, resume building, and interview preparation. Develop and deliver workshops and seminars focused on job searching strategies, networking, and industry trends. Employer Engagement: Establish and maintain relationships with companies in the cybersecurity and AI sectors to create job placement opportunities. Organize job fairs, recruitment drives, and networking events to connect students with potential employers. Job Matching: Assess student skills and interests to effectively match them with job openings. Collaborate with academic staff to understand curriculum changes and align them with industry needs. Data Management: Stay informed about developments in the cybersecurity and AI & ML fields to provide relevant guidance to students. Participate in professional development opportunities to enhance personal effectiveness and industry knowledge. Experience: Minimum of [1years] experience in Placement role Skills: Excellent interpersonal and communication skills. Strong organizational and multitasking abilities. Proficiency in using career services software and job platforms. Attributes: Passion for student success and career development. Ability to work collaboratively with diverse groups of individuals. Job Types: Full-time, Permanent Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Health insurance

Join us as an AVP Quantitative Analytics Market Risk Modeler at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology. You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development , experience on coding languages like Python OR R OR C++, as well as job-specific skillsets. To be successful as an AVP Quantitative Analytics Market Risk Modeler you should have experience with: You must have knowledge of the following in FRTB, VaR, Expected Shortfall (ES), BASEL, Monte Carlo Simulation, Stress Testing, Exposure Modeling, CVA, Pricing Models, Desk Quants and Strategists, Black-Scholes, Economic Risk Capital, Incremental Risk Charge (IRC), Risk Factor Modelling (Interest Rates, Equities, Credit, Commodities etc.), Back-testing, Numerical Analysis, SR 11/7, SS1/23 Hands on coding experience (as a full-stack developer / agile developer etc. Preferable language is Python, C/C++ etc) Hand on experience in Model Development and/or Model Validation (core development experience preferred). Desired Qualification ; Advanced Technical Degree (Master's / PhD / similar or equivalents) - Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, Financial Mathematics Certification - GARP-FRM, PRM, CQF, AI/ML Courses, Coding and Computer Programming This role is based out of Mumbai. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Role Overview As a L3 Data Scientist, you will lead the design, development, and deployment of advanced machine learning and GenAI applications. You will be responsible for end-to-end ownership of model development, fine-tuning LLMs, and building intelligent systems that integrate seamlessly into client products. This role combines deep technical expertise, product thinking, and the ability to mentor and influence others. This is a senior individual contributor role, ideal for professionals who thrive on solving ambiguous, high-impact problems using a blend of classical ML and cutting-edge LLM technologies. Key Responsibilities ML & Data Science Leadership Lead the development of robust machine learning solutions across supervised, unsupervised, and time-series problems. Architect and own pipelines for feature engineering, training, evaluation, and monitoring of models. Apply advanced experimentation techniques, error analysis, and iterative improvements to meet business KPIs. LLM & GenAI System Development Design and implement GenAI-powered solutions such as copilots, document processors, summarization agents, and intelligent assistants. Build advanced workflows using prompt engineering, RAG pipelines, context management, and hybrid model chaining. Lead LLM fine-tuning efforts using instruction tuning, parameter-efficient methods (LoRA, QLoRA, PEFT), or full-model fine-tuning for domain-specific use cases. Evaluate trade-offs across LLM providers (open-source vs API-based) and optimize for performance, cost, and latency. Collaboration & Impact Partner with engineering, product, and business teams to shape technical direction and translate insights into deployed solutions. Contribute to pre-sales activities, PoC development, and client workshops as a technical SME. Drive technical quality, review deliverables, and ensure adherence to best practices across the data science lifecycle. Mentorship & Technical Leadership Mentor junior and mid-level data scientists on modeling approaches, GenAI architecture, and clean experimentation workflows. Lead internal sessions on advancements in ML/LLM ecosystems and guide capability development within the team. Required Skills & Qualifications 6–9 years of hands-on experience in data science, machine learning, or AI product development. Strong Python programming skills with expertise in libraries like pandas, NumPy, scikit-learn, XGBoost/LightGBM. Proven track record of shipping ML models to production (batch or real-time) in business-critical applications. Hands-on experience working with LLMs (OpenAI, Mistral, Claude, LLaMA) and frameworks like LangChain or LlamaIndex. Direct experience in fine-tuning LLMs using Hugging Face Transformers, PEFT, or custom pipelines. Strong understanding of prompt engineering, embeddings, similarity search, and vector databases (e.g., FAISS, Pinecone). Experience with Docker, Git, and cloud platforms (AWS, GCP, or Azure). Good-to-Have Exposure to ML/GenAI platform design and MLOps tools (e.g., MLflow, SageMaker, Weights & Biases). Experience with evaluation and safety frameworks for GenAI applications. Contributions to open-source projects or demonstrable personal projects in ML/LLMs. What You//'ll Love at here Solve real-world problems with ML and GenAI, not just toy models or prototypes. Collaborate with talented engineers, designers, and product thinkers in a flat, high-ownership environment. Work across industries and domains while experimenting with the latest in LLMs and AI tooling. Shape the future of AI development within a fast-growing, impact-focused team.

Deliver lectures and conduct laboratory sessions for undergraduate and/or postgraduate students. Develop course materials, syllabi, lesson plans, and assignments in accordance with academic guidelines. Engage in academic advising and student mentoring. Conduct research in areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, IoT, or other emerging domains. Publish research papers in reputed journals and present at conferences. Participate in curriculum development and accreditation processes (NAAC/NBA). Supervise student projects, internships, and dissertations. Collaborate with colleagues for interdisciplinary teaching and research. Participate in departmental and institutional committees, workshops, and training programs. Organize and support co-curricular and extra-curricular student activities. Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Work Location: In person

Your Role Placed at the heart of Gensler’s People + Process + Technology the Global Design Technology Studio drives the firm’s digital transformation of our creative and project delivery practices throughout the globe. Our ultimate outcome is to co-create a design technology ecosystem that enables our practitioners to leverage the most advanced methodologies and technological solutions reaching a new level of creativity and delivering the most impactful designs to our clients. So, if you are a disruptive technologist that’s ready to change the world with big and impactful ideas, we want you to join our growing and innovative award-winning team! The Global Design Technology Studio at Gensler is looking for a Data Scientist to join our team. In this role you will bring crucial leadership and capability into our Design Technology team that is delivering innovative solutions connecting the data and outcomes from our designs to our practitioners, projects, and clients through a highly creative and collaborative culture. You will be required to demonstrate strong technical aptitude with traditional and cutting-edge methodologies for the collection, management, analysis, synthesis, and assessment of large datasets with an objective of identifying trends, insights, and opportunities for improvement. What You Will Do Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data originating and extracted from data-rich design authoring tools Leverage the outcomes of trained data models to explore trends and define insights in alignment with business and client needs Define and develop data pipelines in MS Azure to deliver data and insights via Web APIs into data visualization platforms and other Gensler IP in partnership with Data Engineering colleagues Collaborate with studio colleagues on strategies & innovative solutions for driving insights back into early stages of the design process Research opportunities and implement the integration and correlation of additional datasets such as geospatial data, proprietary data, and operational data Research emerging technologies in the AEC space and make recommendations on build vs. buy strategies Support R&D of future Strategic Insights initiatives Support a fast-growing data-driven design community of practitioners in the firm Support and drive technical upskilling of project teams to implement sophisticated PowerBI solutions on projects Participate in the convergence of multiple aspects of our overall digital strategy with data and insights generation in alignment with business goals Your Qualifications Bachelor's or Master’s degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and or Data Science. 10+ years of strong practical experience in statistical analysis, machine learning, and / or predictive modeling (AEC Industry experience a plus) Ability to work in a highly creative environment and collaborate on solutions to complex problems Track record of staying current with best practices and new technology solutions Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases Proficiency in SQL, Python and R (or equivalent) programming languages for data manipulation, analysis, and model development Experience with various machine learning & generative ai technologies, performance evaluation and creating end-to-end ML pipelines in Azure Experience with generative AI models & development frameworks, specifically around LLMs and NLP Understanding of Data governance practices, data privacy regulations, and security best practices Proficiency with Data Visualization Tools like PowerBI (DAX, Power Query, etc.) as well as tools for visualizing ML and GenAI apps such as plotly, seaborn, d3 and / or streamlit. Experience with using Git + source control in a team environment Experience with Microsoft Fabric is a plus Experience with development of serverless compute services like Azure Functions a plus Computer Vision experience is a plus Experience in REST API service development a plus C# as well as event-driven architectures is a plus Azure (or other cloud provider) certifications a plus Life at Gensler As a people-first organization, we are as committed to enjoying life as we are to delivering best-in-class design. From internal design competitions to research grants to “Well-being Week,” our offices reflect our people’s diverse interests. We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability and wellness programs. We also offer profit sharing and twice annual bonus opportunities. As part of the firm’s commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future. #LI-MR1

Job Summary As a Data Scientist specializing in Language Models (LLMs) at Bluphlux, you will play a pivotal role in transforming the recruitment industry. You will leverage advanced LLMs to enhance our AI-driven recruitment platform, ensuring that our clients receive the most accurate and efficient candidate matching possible. Key Responsibilities Develop and optimize language models to improve resume and job description matching accuracy. Collaborate with cross-functional teams to integrate LLMs into our recruitment platform. Analyze large datasets to extract meaningful insights and improve model performance. Stay updated with the latest advancements in AI and machine learning to ensure our technology remains cutting-edge. Contribute to the development of patented AI algorithms that drive our recruitment solutions. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying language models. Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch. Experience with natural language processing (NLP) techniques and tools. Excellent problem-solving skills and attention to detail. Preferred Skills PhD in a relevant field. Experience with recruitment or HR technology. Familiarity with cloud platforms such as AWS or Azure. Strong communication skills and ability to work in a team environment.

Job Overview & Responsibilities We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. This role requires not only technical proficiency but also excellent communication skills and the ability to guide and upskill junior team members. Exposure to cutting-edge concepts like multi-agent collaboration, Memory-Context-Planning (MCP), and agent-to-agent workflows is highly desirable. ● Lead the design and development of GenAI/LLM-based products and solutions. ● Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques. ● Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows. Nice to Have ● Experience with cloud platforms (AWS/GCP/Azure) for deploying LLMs at scale. ● Knowledge of ethical AI practices, bias mitigation, and model interpretability. ● Background in machine learning, natural language processing (NLP), or AI research. ● Publications or contributions to open-source LLM projects are a plus. Perks & Benefits ● Competitive Compensation and Benefits ● Half Yearly Appraisals ● Friendly Environment ● Work-life Balance ● 5 days working ● Flexible office timings ● Employee-friendly leave policies ● Work from Home (with prior approvals) ● Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc. ● Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents. ● Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends. ● Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals. Required Skills ● 5+ years of total software development experience with a strong foundation in Python. ● 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment. ● Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc. ● Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search. ● Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma). ● Exposure to agent frameworks and multi-agent orchestration. ● Excellent written and verbal communication skills. ● Proven ability to lead and mentor team members on technical and architectural decisions Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹1,083,333.00 per month Work Location: In person

JOB DESCRIPTION Are you ready to elevate your career in a fast-paced, innovative environment? You will have the opportunity to utilize and keep developing your skills while contributing to a team that values growth and collaboration. Join us and be part of a company that supports your professional journey and offers exciting challenges. As a Trading Services Associate I within JPMorganChase, you will play a pivotal role in the seamless execution of trade activities, from order entry to settlement. While still developing, your expertise in market products and understanding of automation technologies will be instrumental in optimizing our trading services. You will be expected to leverage your proficiency in change management and continuous improvement to enhance the efficiency and resilience of our operating platform Your role will also allow you to keep developing your relationships with internal stakeholders, presenting insights to senior management, and driving process improvements. Your decisions will contribute and impact on short-term team and department goals, and you will often guide others in their work activities, contributing to the overall success of our trading services. Job responsibilities Support daily trading operations by ensuring timely execution and accuracy of trades, while collaborating with traders and team members to resolve discrepancies. Monitor and reconcile trading accounts, driving the development and implementation of process improvements to enhance operational efficiency. Deliver exceptional service to internal and external clients, maintaining up-to-date knowledge of market trends, trading regulations, and ensuring compliance with company policies and industry standards. Prepare and analyze trading reports for management review, contributing to strategic discussions in team meetings and handling ad-hoc projects and tasks as needed. Assist in training and mentoring junior team members, fostering a collaborative and growth-oriented environment. Utilize strong analytical and problem-solving skills to support strategic initiatives and drive continuous improvement. Required qualifications, capabilities, and skills Proven experience in trading or financial services, demonstrating a strong foundation in industry practices and operations. Strong analytical and problem-solving skills, enabling effective decision-making and issue resolution. Excellent communication and interpersonal abilities, facilitating clear and productive interactions with colleagues and stakeholders. Proficiency in Microsoft Office Suite, particularly Excel, complemented by advanced digital literacy for integrating innovative technologies in trade services. Capability to work effectively in fast-paced environments, maintaining a detail-oriented approach and strong organizational skills to manage multiple tasks and adapt to changing priorities. Demonstrated ability to collaborate effectively in team settings, with a solid understanding of trading systems and financial markets. Strong commitment to delivering high-quality results, with a focus on continuous improvement and adaptability. Preferred qualifications, capabilities, and skills Proficient in using trading platforms and software, with hands-on experience in navigating and optimizing these tools. Knowledgeable about regulatory requirements in the trading industry, ensuring compliance and adherence to industry standards. Skilled in leveraging digital literacy to adopt and integrate innovative technologies, enhancing trade services and operational efficiency. Capable of utilizing AI and machine learning to enhance trade service processes and improve decision-making, driving data-driven insights and outcomes. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. System Administrator - AI/ML Platform: We are looking for a detail-oriented and technically proficient AI/ML Cloud Platform Administrator to manage, monitor, and secure our cloud-based platforms supporting machine learning and data science workloads. This role requires deep familiarity with both AWS and Azure cloud services, and strong experience in platform configuration, resource provisioning, access management, and operational automation. You will work closely with data scientists, MLOps engineers, and cloud security teams to ensure high availability, compliance, and performance of our AI/ML platforms. Your responsibilities will include: Provision, configure, and maintain ML infrastructure on AWS (e.g., SageMaker, Bedrock, EKS, EC2, S3) and Azure (e.g., Azure Foundry, Azure ML, AKS, ADF, Blob Storage) Manage cloud resources (VMs, containers, networking, storage) to support distributed ML workflows Deploy and Manage the open source orchestration ML Frameworks such as LangChain and LangGraph Implement RBAC, IAM policies, Azure AD, and Key Vault configurations to manage secure access. Monitor security events, handle vulnerabilities, and ensure data encryption and compliance (e.g., ISO, HIPAA, GDPR) Monitor and optimize performance of ML services, containers, and jobs Set up observability stacks using Fiddler , CloudWatch, Azure Monitor, Grafana, Prometheus, or ELK . Manage and troubleshoot issues related to container orchestration (Docker, Kubernetes – EKS/AKS) Use Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Bicep to automate environment provisioning Collaborate with MLOps teams to automate deployment pipelines and model operationalization Implement lifecycle policies, quotas, and data backups for storage optimization Required Qualification: Bachelor's/Master’s in Computer Science, Engineering, or related discipline 7 years in cloud administration, with 2+ years supporting AI/ML or data platforms Proven hands-on experience with both AWS or Azure Proficient in Terraform, Docker, Kubernetes (AKS/EKS), Git, Python or Bash scripting Security Practices: IAM, RBAC, encryption standards, VPC/network setup Requisition ID: 611331 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

DESCRIPTION We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key job responsibilities : Conduct quality audits on individual workflows and units delivered by Data Associates Coach and calibrate Data Associates co-located at your site to improve performance Provide detailed insights on Data Associate-level quality and identify root causes of issues Perform manual reviews to validate automated quality measurement systems Document and report quality findings accurately and efficiently Perform audits to support deep dives and escalations as needed Maintain strict compliance with quality standards and procedures Work closely with Quality Audit Managers to improve processes and implement best practices Contribute to continuous improvement initiatives within the quality assurance team Internal job description: Basic qualifications: Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads Preferred qualifications: Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Amazon is an equal opportunities employer. BASIC QUALIFICATIONS Basic qualifications: Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads PREFERRED QUALIFICATIONS Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training. Key job responsibilities : Conduct quality audits on individual workflows and units delivered by Data Associates Coach and calibrate Data Associates co-located at your site to improve performance Provide detailed insights on Data Associate-level quality and identify root causes of issues Perform manual reviews to validate automated quality measurement systems Document and report quality findings accurately and efficiently Perform audits to support deep dives and escalations as needed Maintain strict compliance with quality standards and procedures Work closely with Quality Audit Managers to improve processes and implement best practices Contribute to continuous improvement initiatives within the quality assurance team Internal job description: Basic qualifications: Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads Preferred qualifications: Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Amazon is an equal opportunities employer. BASIC QUALIFICATIONS Basic qualifications: Strong analytical and problem-solving skills Excellent attention to detail Strong communication skills in Business English Experience with quality management tools and systems Ability to work in strict compliance with internal guidelines Understanding of data annotation and quality metrics Proficiency in Excel and data analysis tools Ability to work effectively in a team environment Adaptability to changing priorities and workloads PREFERRED QUALIFICATIONS Prior experience in a quality assurance role within the tech industry Familiarity with AI and machine learning concepts Experience with speech or language data Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.