1174 Probability Jobs - Page 34

Job Description: We are looking for a proactive and skilled Full Stack Developer with experience in building MR image reconstruction modules with the connection to AI. The ideal candidate should have hands-on expertise in C++. Additional expertise in python, good knowledge in medical imaging modalities is an added advantage. Key Responsibilities : Developing, improving, testing, and maintaining of MR image reconstruction modules Active research in MR image reconstruction methods to improve the speed of acquisition, extracting more information from the sampled data, improving robustness to noise, artifacts, imperfections etc. Developing AI inferencing code, data preparation and model training. Manage code repositories and version control (Git/Azure Repos). Participate in design discussions, code reviews, and agile development processes. Troubleshoot module issues and ensure performance, security, and scalability. Ensure delivery aligns with organizational and project quality processes. Collaborate with Product Owners/relevant stake holders to manage the product backlog, groom concepts, and ensure the continuous delivery of features. Required Skills and Qualifications: Educational Background: BE/B.Tech/MCA/ME/M.Tech from a recognized institution. Technical Skills: Much practical C++ experience A solid grasp of design ideas and patterns as well as object-oriented programming (OOP) concepts Python experience would be advantageous Strong foundations in physics, mathematics, signal processing, linear algebra, probability, and random processes would be advantageous Strong understanding of medical imaging modalities, particularly MRI, is preferred. Strong analytical and problem-solving abilities as well as clear, succinct communication skills are also desirable. A solid grasp of inverse problems, artificial intelligence, imaging chain concepts, MR reconstruction, and pulse sequence would be advantageous. A desire to grow, learn, explore, think creatively, and push themselves beyond their comfort zones Repositories: Knowledge of Azure Repos or Git for version control. Experience: 6 -8 Years of core development experience using C++ What We Offer: A collaborative work environment with opportunities for professional growth. Exciting projects that challenge and enhance your technical expertise. Competitive compensation and benefits.

Job Description You’re at the forefront of delivering secure software solutions. Join us a valued member of a top-performing team. As a Security Engineer II at JPMorgan Chase within the Cybersecurity & Tech Controls team, you are part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As an emerging member of the security engineering team, you execute basic software solutions through the design, development, and troubleshooting of multiple components within a technical area, while gaining skills and experience to grow within your role. Job Responsibilities Executes standard security solutions in accordance with existing playbooks to satisfy security requirements for internal clients (e.g., product, platform, and application owners) Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Applies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize probability and impact of threats when determining specific vulnerabilities Supports delivery of continuity-related awareness, training, educational activities, and exercises Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on security engineering concepts and 2+ years applied experience Experience in developing security engineering solutions. Proficiency in Python or Java development. Proficiency with developmental toolsets such as Git and Jenkins. Understanding of architecture and design across different systems. Experience with cloud development, including serverless application development in AWS. Manage to work in large, collaborative teams to achieve organizational goals Preferred Qualifications, Capabilities, And Skills Knowledge of RESTful services. Familiar in Infrastructure as Code (IaC) using Terraform 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 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. Show more Show less

What You’ll Do This security analyst will be part of a team tasked with identifying, tracking and verifying the remediation of vulnerabilities in internal and external applications and systems. This role involves performing deep-dive analysis of vulnerabilities, operating vulnerability scanning tools, and building relationships with other groups within the IT organization. You will work closely with IT infrastructure, product teams, supply chain, and Cyber Security operations to reduce Eaton's attack surface. Stay up to date with the evolving technological and threat landscape and its potential impact on modern and legacy technologies, applications, and business processes. Monitor for vulnerabilities within applications, endpoints, databases, networking, and mobile and cloud services. Conduct continuous discovery, vulnerability assessment and remediation status of enterprise-wide assets. Advise employees responsible for remediation on the best reduction and remediation practices. Review and analyze vulnerability data to identify trends and patterns. Regularly report on the state of vulnerabilities, including their criticality, exploit probability, business impact, and remediation strategies. Serve as a point of contact for new and existing vulnerability-related issues. Collaborate with business teams and cyber security stakeholders to ensure appropriate governance structures are in place and that risks are documented. Provide vulnerability education and guidance to stakeholders, developers, IT and business leaders as needed. Maintain documentation related to vulnerability policies and procedures. Assist maintaining records for Eaton assets, their vulnerability state, remediation recommendations, overall security posture and potential threat to the business. Identify areas of opportunity for improvement and automation within team processes. Perform other duties as assigned, including on-call rotations. Qualifications Bachelor’s degree in a technical discipline Overall 5-8 years of experience 3+ years of experience in security operations or vulnerability management. Skills Ability to analyze and understand vulnerabilities and exploits Proficiency with commercial and open source vulnerability management solutions. Understanding of TTPs, MITRE ATT&CK framework, CVSS, OSINT, and deception techniques. Understanding of operating systems, applications, infrastructure, and cloud computing services. Understanding of OWASP, CVSS, MITRE ATT&CK framework. Capacity to comprehend technical infrastructure, managed services, and third-party dependencies. Preferably some experience with vulnerability management across AWS, Azure, or Google cloud Platform. Experience in Python or Powershell, with an emphasis on scripting, automation, and integrations. Experience in threat hunting or red teaming exercises is a plus. Strong communication skills: Ability to communicate effectively across all levels of the organization. Project management skills: Strong project management, multitasking, and organizational skills ]]> Show more Show less

About us: GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is an Edu-Tech incubated by IIT-Madras, IIM-Ahmedabad and Partnered with Google for Education. What sets us apart is the fact that we offer online learning in a plethora of different vernacular languages along with English. With more than 15+ lakh users currently learning from our platform, GUVI continues to grow at a tremendous rate. For more information about us, visit www.guvi.in Responsibilities: 1. Instant Query handling. 2. Handling LIVE sessions. 3. Providing various weekly assignments, assessments, and tasks to learners and evaluating them on a regular basis. 4. Creating individual real-time mini projects involving learners to do hands-on and helping them update their profiles. 5. Tech support advice and tips for the interview Preparation. 6. Building good Rapport with learners and helping them with the smooth learning process in all possible ways. Skills: Python Programming, Pandas, Probability and Statistics with Numpy, MongoDB, Data Visualisation in Python (Matplotlib, Seaborn), Data Analysis on Image and text data, Machine Learning, NLP. Experience: 2+ years experience as a full time Data Scientist is mandatory Job Type: Part-time Show more Show less

The requirement is immediate so please only apply if you can join within the next one month. Please fill the following form to help us process your application: https://forms.gle/NfuMM6rXHiXRXosS6 Company Description ApexPlus Technologies is a wireless solutions provider for industrial sensor monitoring and data logging. We also specialize in the development of microwave, RF+FPGA based signal processing systems for defence labs and DPSUs. We are involved in many prestigious radar projects. This is a full-time on-site role as a Signal Processing Engineer located in Hyderabad. Required skill sets: 1) A Bachelors or a Masters in Electrical/Electronics Engineering 2) Experience/knowledge in the field of RADAR 3) Strong Matlab skills 4) Strong C and Python skills 5) Knowledge of filters, transforms 6) Reasonable understanding of probability theory, statistical distributions 7) Understanding of wireless communication channels 8) Understanding of fixed point arithmetic Show more Show less

Data Science Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH offers hands-on, project-based virtual internships that bridge the gap between academic knowledge and industry skills. Our Data Science Internship is curated to provide aspiring data professionals with real-world exposure in data collection, analysis, modeling, and decision-making using cutting-edge tools. 🚀 Internship Overview As a Data Science Intern , you’ll work on real-time datasets , apply machine learning models , and generate actionable insights . The role is ideal for individuals looking to strengthen their understanding of data pipelines, predictive modeling, and storytelling with data . 🔧 Key Responsibilities Clean, manipulate, and analyze structured and unstructured datasets Build and evaluate machine learning models for prediction/classification Apply statistical techniques to uncover trends and insights Work with tools such as Python, Pandas, NumPy, Scikit-learn, and Jupyter Notebooks Create visualizations using Matplotlib, Seaborn, or Power BI/Tableau Collaborate with mentors and peers to solve data-driven problems Document code, findings, and processes in clear and concise reports ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering , or related fields Proficient in Python and familiar with Pandas, NumPy, and basic ML libraries Strong foundation in statistics, probability , and data visualization Understanding of supervised and unsupervised learning algorithms Eager to learn, experiment, and solve complex problems using data 🎓 What You’ll Gain Practical experience with real-world datasets and projects Exposure to machine learning workflows and tools Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on performance A portfolio of data science projects to showcase in interviews Show more Show less

About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all. Job Description: Citi is looking for an energetic, motivated professional to join its Fraud Analytics team. As part of the Global Fraud Analytics team, this role is responsible for the fraud model development and validation supporting Citi’s North American Cards business. The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation using tools like Python, H2O Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Identifies and compiles large complex data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all. Job Description: Citi is looking for an energetic, motivated professional to join its Fraud Analytics team. As part of the Global Fraud Analytics team, this role is responsible for the fraud model development and validation supporting Citi’s North American Cards business. The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation using tools like Python, H2O Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Identifies and compiles large complex data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 12+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

We are seeking a highly skilled Senior Perception Engineer to join our team. The ideal candidate will have extensive experience in developing and implementing perception algorithms for robotic systems, with a focus on sensor fusion, SLAM, and multi-modal sensing. Master's or Ph.D. in Computer Science, Robotics, or a related field 3-8 years of experience in perception engineering for autonomous systems Strong programming skills in C++ and Python Extensive experience with SLAM algorithms, computer vision, and sensor fusion techniques Proficiency in working with LiDAR, camera, radar, and IMU sensors Hands-on experience with ROS2 Familiarity with deep learning frameworks and their application to perception tasks Experience with real-time systems and embedded software development Strong mathematical background in linear algebra, probability theory, and optimization Preferred Qualifications Experience with autonomous vehicle perception systems Knowledge of sensor calibration techniques Experience with multi-object tracking and motion prediction Experience with Autoware. Key Skills C++ Sensor fusion SLAM Computer vision LiDAR processing Radar processing ROS2 Autoware Python Machine learning Roles and Responsibilities Design and develop advanced perception algorithms for autonomous robots using LiDAR, Cameras, Radar, and other sensors Implement and optimize sensor fusion techniques to improve object detection, tracking, and localization Develop and maintain SLAM (Simultaneous Localization and Mapping) systems for various robotic platforms Integrate perception algorithms with Autoware and ROS2 frameworks Collaborate with cross-functional teams to ensure seamless integration of perception systems with other components of the autonomous stack Conduct research on state-of-the-art perception techniques and implement novel solutions to improve system performance Participate in the full development lifecycle, including design, implementation, testing, and deployment of perception software

The Project Analyst 3 is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. Responsibilities: Collect, measure and analyze project management data. Identify, track and close project issues. Ensure creation of project scope plan and creation of project schedule. Forecast project costs, track actual project costs, identify variances, and revise forecasted project costs as needed. Create the project quality management plan, identify quality standards and metrics to measure achievement of these standards. Identify project risks, perform probability and impact analysis, determine responses to risks, track risks, and execute responses as needed. Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Preferred experience interacting with multiple clients/users in an IT analyst role requiring strong organizational skills and business judgment. Demonstrated ability to methodically synthesize and analyze data with precise qualitative outputs. Attention to detail to ensure precision of data and overall quality of outputs. Experience with Microsoft Office tools (Word, Excel, PowerPoint, Visio, etc.). Ability to embrace and master new technologies and changing processes. Can work independently with minimal supervision is required, as well as ability to work effectively in a team-oriented atmosphere. Excellent follow-up skills with attention to detail and ability to multi-task, strong leadership skills, strong team-orientation and interpersonal skills, flexibility and strong analytical skills. Strong written/verbal communication skills. Ability to establish rapport and build effective relationships across functions, across regions, and across all levels of management. Motivated self-starter with a strong sense of urgency and possesses the ability to successfully manage multiple requests in a deadline-driven environment. Qualifications: 7 - 10 years’ experience in relevant field Working knowledge on Oracle ERP Procure to Pay suite of modules or similar ERP's Good knowledge on Accounts Payable, Good knowledge on SQL/PL SQL queries Understanding of Oracle data models and integration with other modules Hands on experience in Oracle debugging techniques Excellent problem-solving skills Education: Bachelor’s/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Operations - Core ------------------------------------------------------ Job Family: Operations Project Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

In our line of work, life isn’t a given - it’s the ultimate goal. When life takes an unexpected turn, our technology and solutions enable caregivers to make informed diagnostic decisions to improve patient care. This is our shared purpose at Radiometer and what unites all +4000 of us - no matter our roles or where in the world we’re located. Creating impactful innovations like ours, doesn’t happen overnight - it requires uncompromising persistency, passion, and a desire to make a difference. Here, you can learn, grow, and chart an uncommonly diverse career. Radiometer is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we’re working at the pace of change to improve patient lives with diagnostic tools that address the world’s biggest health challenges. The Clinical Application Specialist will be pivotal in developing our scientific arm and will play a major role in scaling up the scientific dialogue on our products and enhancing engagement with key customers in the region This position is part of the Sales function located in Lucknow , reporting to the Zonal Sales Manager, North and will be working in a remote set-up taking care of UP & Uttarakhand. At Radiometer, our vision is to improve global healthcare with reliable, fast, and easy patient diagnoses. If you thrive in a multifunctional & fast paced role and want to work to build a world-class organization—read on. In this role, you will have the opportunity to: Leader for product demonstrations across the region, ensure compliance to the demo standard process guidelines, organize demo feedback sessions with end user, solve queries, provide clarifications. Joint sales visits for Strategic Accounts with Sales Representatives after 30% sales probability in the funnel Work strategically with the Zonal Sales Manager to position our solutions in new/adjacent markets and finding new applications of our solutions to cater to that market. Drive win-against competition program with focus on competitor replacements by picking 1 competitor for a quarter. Drive client engagement for the region and work with Key accounts Address the clinical queries of end users within the defined turn-around time. This might need reaching out to experts in other zones in India or other countries Work collaboratively with the Marketing Function to develop a network of Key Users Build scientific capacity for the products and its applications for the zonal sales and service team. The essential requirements of the job include: Educational qualification – Bachelor/master’s in science or MBA equivalent with a functional background that has experience of the Healthcare & Diagnostics landscape in the Indian market 5+ years of experience in clinical and application roles with a Medical Devices, Diagnostic company Post-Graduate in Science (specialization: Biochemistry, Biotechnology, Biomedical, Ph.D preferred, Fresh medical doctors can apply It would be a plus if you also possess previous experience in: Experience of having managed a sales function in the past Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. Show more Show less

Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Your Impact The primary focus is the understanding, projection and optimization of the Equity funding and Capital footprint, together with the evolving suite of additional constrained resources. Projects will involve, The design and implementation of liquidity risk models. Understanding/optimizing the funding footprint of PB clients and innovate ways of improving returns. Structuring of new funding products to generate funding for EQ division, that comply with increasingly complex regulatory landscape. Implementation and management of internal carry frameworks to pass the correct incentives down to trading teams. All streams require close collaboration with the trading desks / business leaders. Our Impact Division Description GLOBAL MARKETS DIVISION Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. Team Description Our global team is a fundamental part of EQ Prime Financing umbrella, we help drive major business decisions and run business critical systems. We pride ourselves in our teamwork across the globe and working in close collaboration with trading teams, to drive solutions that serve tangible commercial outcomes. Our team members have a wide variety of quantitative academic and cultural backgrounds. This diversity helps us to find innovative solutions for our complex business problems. It is an exciting time to join our growing team! Basic Qualifications Skills & Experience We Are Looking For Strong academic background in a relevant field -Mathematics, engineering, computer science, or economics background, including a quantitative understanding of statistics and probability Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object oriented design principles Ability to work as a member of a global team and deliver results quickly Ability to solve technical problems and explain the underlying ideas to a non-technical audience Preferred Qualifications Entrepreneurial spirit Strong written and verbal communication skills Knowledge of financial markets, in particular, understanding of one delta products, and financial mathematics is a plus Successful track record of building scalable systems with clearly defined SLAs in a financial setting. Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Your Impact The primary focus is the understanding, projection and optimization of the Equity funding and Capital footprint, together with the evolving suite of additional constrained resources. Projects will involve, The design and implementation of liquidity risk models. Understanding/optimizing the funding footprint of PB clients and innovate ways of improving returns. Structuring of new funding products to generate funding for EQ division, that comply with increasingly complex regulatory landscape. Implementation and management of internal carry frameworks to pass the correct incentives down to trading teams. All streams require close collaboration with the trading desks / business leaders. Our Impact Division Description GLOBAL MARKETS DIVISION Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. Team Description Our global team is a fundamental part of EQ Prime Financing umbrella, we help drive major business decisions and run business critical systems. We pride ourselves in our teamwork across the globe and working in close collaboration with trading teams, to drive solutions that serve tangible commercial outcomes. Our team members have a wide variety of quantitative academic and cultural backgrounds. This diversity helps us to find innovative solutions for our complex business problems. It is an exciting time to join our growing team! Basic Qualifications Skills & Experience We Are Looking For Strong academic background in a relevant field -Mathematics, engineering, computer science, or economics background, including a quantitative understanding of statistics and probability Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object oriented design principles Ability to work as a member of a global team and deliver results quickly Ability to solve technical problems and explain the underlying ideas to a non-technical audience Preferred Qualifications Entrepreneurial spirit Strong written and verbal communication skills Knowledge of financial markets, in particular, understanding of one delta products, and financial mathematics is a plus Successful track record of building scalable systems with clearly defined SLAs in a financial setting. Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We are seeking a Mathematics Specialist to join us and contribute to impactful AI training projects. If you have a strong understanding of Mathematics and experience preparing students for JEE Advanced, we want you to be part of our team! Key Responsibilities: Evaluate and improve AI-generated Mathematics content, ensuring it aligns with all rules and formulas. Debug and correct errors in AI-driven Mathematics reasoning and outputs. Collaborate with the AI team to enhance the AI’s understanding of Mathematics. Develop and refine practice problems, solutions, and explanations tailored to the JEE Advanced syllabus. Ensure clarity, accuracy, and logical consistency in all teaching materials related to Mathematics. Collaborate with the AI team to enhance the AI’s understanding of Mathematics concepts and problem-solving techniques. Create detailed, step-by-step explanations for challenging Mathematics concepts and problems. Stay updated with the latest JEE Advanced trends, syllabus changes, and exam strategies to ensure relevant content delivery. Required Qualifications: PhD in Mathematics. Prior experience in the EdTech sector. Strong understanding of Mathematics topics , including Algebra, Calculus, Coordinate Geometry, Trigonometry, and Probability. Excellent communication skills, with the ability to explain complex Mathematics concepts in a clear and engaging manner. Ability to work independently, manage your schedule, and tailor lessons to meet students needs. Why Join Us? Flexible hours. Remote opportunity. Shape the future of AI with Soul AI ! Show more Show less

Job Overview We are seeking a motivated and results-driven Lead Generation Specialist to join our dynamic sales team at Threatcop. The Lead Generation Specialist will generate and nurture B2B leads through various outreach methods, including cold calling , cold emailing, and LinkedIn messaging. A key part of the role will involve leveraging advanced email marketing strategies, such as SPF, DKIM, DMARC, email warmup, and crafting B2B personas for targeted email sequences. Initially, the role will focus on hands-on lead generation, with the opportunity to transition into managing the lead generation team post 3-6 months based on performance. Key Responsibilities Lead Generation & Nurturing: Generate SQL (sales-qualified lead) , a lead that has a high probability of converting into a customer using outbound cold calls , emails, and LinkedIn messaging, specifically targeting cybersecurity products and services. Email Marketing Expertise: Implement SPF, DKIM, and DMARC for deliverability, conduct email warmup for sender reputation, develop B2B personas for targeted outreach, and create automated email sequences to nurture prospects. Cold Email Campaigns & LinkedIn: Design and execute targeted cold email campaigns, using LinkedIn for lead identification and engagement. Lead Qualification: Use the BANT (Budget-Authority-Need-Time) framework to qualify leads and schedule meetings or calls for the sales team. CRM Management: Track interactions and maintain accurate lead data in the CRM, ensuring all progress and metrics are recorded for reporting purposes. Target Achievement: Consistently meet or exceed monthly and quarterly lead-generation goals and appointment-setting targets. Market Research: Conduct in-depth research to identify high-growth industries and customer segments in cybersecurity and networking markets. Business Development & Pipeline Management: Develop a comprehensive business development strategy to build and maintain a strong sales pipeline. Industry Representation: Represent Threatcop at industry events, building relationships with key stakeholders and driving partnerships. Team Leadership (Post 3-6 months): Lead and manage the lead generation team post 3-6 months, driving their performance and ensuring KPIs are met. Qualifications Bachelor's or Master’s degree in Technology (B.Tech/BCA/M.Tech/MCA) or a related field 2+ years of experience in B2B lead generation Must be comfortable and skilled in conducting high-volume cold calls to potential prospects Hands-on experience with implementing SPF, DKIM, and DMARC for email deliverability, performing email warmups, and creating targeted B2B personas. Must possess full proficiency in both spoken and written English to communicate effectively with prospects and clients. Proficiency with CRM tools, email marketing platforms, and LinkedIn for lead generation and outreach. Benefits of working with us Working with us allows you to gain hands-on experience and training on various industry-leading tools for database management and prospecting. Tools such as ZOHO CRM, Lusha, Apollo.io, Notion, LinkedIn Sales Navigator, and more will be at your disposal, empowering you to enhance your skills and streamline your work. Benefits of both worlds - Enthusiasm & Learning Curve of a Start-Up, Deliveries & Performance of an Enterprise Service Provider. The sky's the limit when it comes to learning, growth & ideas. We do not follow the typical corporate hierarchy ladder. Medical insurance, gratuity, and provident fund. As part of our dedication to an inclusive and diverse workforce, Threatcop is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. Threatcop is a sister concern for Kratikal. Threatcop Inc. stands as a prominent name in the realm of cybersecurity, delivering robust solutions to over 200 Enterprise clients and 1000+ SMEs across diverse sectors such as E-commerce, Finance, BFSI, Healthcare, Manufacturing, and Telecom. Our foundation was laid with a mission to empower global enterprises with cutting-edge, technology-driven cybersecurity solutions to combat the ever-evolving landscape of cyber threats. Presently, Threatcop proudly boasts the recognition of being a recipient of the prestigious Cybersecurity Excellence Award, underscoring our commitment to excellence in safeguarding digital landscapes. Our suite of innovative products, including TSAT, TDMARC, and TPIR, alongside comprehensive VAPT services, have earned accolades for their efficacy and impact. With strategic partnerships forged with renowned entities across the globe, Threatcop continues to lead the charge in fortifying digital ecosystems. For a deeper understanding of our endeavors, please explore our official website: www.threatcop.com Show more Show less

Job Description: 1. Responsible for acquiring and developing new business from IT Infrastructure. 2. Business plan for increasing the probability of the division, through direct sales. 3. Experience in selling Enterprise Solution which includes (IT Product and Solution sales, Laptop, Desktop, Printers, Workstations, Data-center solution, Storage, Server Sales, and Networking Solutions) . 4. Ability to interact at CXO levels in an organization. 5. Building and maintaining a network of public and private customer contacts . 6. Close deals for the leads, responsible for payment collection. 7. Researching customer's profile for accurate positioning giving effective and Skillful Presentations. Requirement: 1. Candidate must possess 2-6 yrs. of experience in selling IT Hardware / Software / Infra Products. 2. Having exposure in Enterprise sales. 3. Excellent verbal communication skills. 4. Should be result oriented and target driven Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,500,000.00 per year Benefits: Paid time off Schedule: Day shift Fixed shift Supplemental Pay: Performance bonus Language: English (Required) Work Location: In person

About Credit Saison India Established in 2019, CS India is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population. Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings. Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people. Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people. Based in Singapore, over 1,000 employees work across Saison’s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil. Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting Should have good understanding about various unsecured credit products Should be able to understand the business problems and helps convert them into the analytical solutions Required skills & Qualifications: Bachelor's degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 4-6 years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Proficiency with statistical and data mining techniques Proficiency with machine learning techniques such as decision tree learning etc. Should have an experience working with both structured and unstructured data Fintech or consumer lending experience is preferred

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. FTE with AI/ML expertise is required to build internal knowledge and to support the AI Initiative scrum teams as Lead & Coach Primary Responsibilities: AI/ML Engineers code and develop software that deploys ML models and algorithms into production Communicate and present complex analytics results and concepts to leadership and internal stakeholders Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR) Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience Work with large scale computing frameworks, data analysis systems Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages Apply AI/ML expertise to build internal knowledge and to support the AI Initiative scrum teams as Lead & Coach Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree or higher in computer science engineering with a focus on language processing 6+ years of experience in AI ML roles Experience implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP Proficiency with cloud development environments such as Azure Proficiency with experience in ML and NLP R&D with demonstrable impact Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good grasp of using LLMs, Deploying LLMs Proficiency in libraries such as Hugging face and OpenAI API At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

About this Opportunity It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G network with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are setting up a AI Accelerator Hub in India, to fast-track our strategy execution. Machine Intelligence, the combination of Machine Learning and other Artificial Intelligence technologies is what Ericsson uses to drive thought leadership to automate and transform Ericsson offerings and operations. MI is also a key competence for to enable new and emerging business. This includes development of models, frameworks and infrastructure where we in our advancements push the technology frontiers. We engage in both academic and industry collaborations and drive the digitalization of Ericsson and the Industry by developing state of the art solutions that simplify and automate processes in our products and services and build new value through data insights. Ericsson is now looking for Senior Data Scientists to significantly expand its global team for AI acceleration for our group in Bangalore . Do you have in depth understanding of Machine Learning and AI technologies? Do you want to apply and extend those skills to solve real complex problems with high societal impact; going beyond ML/AI for consumption and advertising? Then, you do want to join Ericsson’s global team of Engineers/Scientists pushing the technology frontiers to automate, simplify and add new value through large and complex data. What you will do As a Senior Data Scientist , you will need to have deep knowledge of data science and Machine Learning tools and technologies backed with strong programming skills to implement them. Your knowledge and experience in Data Science methodologies will be applied to solve challenging real-world problems as part of a highly dynamic and global team. You will work in a highly collaborative environment where you communicate and plan tasks and ideas. You will be working on high impact initiatives with other DS in Machine Intelligence to drive growth and economic profitability for Ericsson and its customers by accelerating current Ericsson offerings. Your contribution will also help to create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses. Key Responsibilities: Lead AI/ML feature/capability in a certain functional area of product/business Define the business metrics of success for AI/ML projects and translate them into model metrics Lead end-to-end development and deployment of Generative AI solutions (e.g., LLMs, diffusion models, RAG pipelines) for enterprise-scale use cases using MLOps platforms like Amazon Sagemaker, Bedrock. Design and implement architectures for vector search, embedding models, and Retrieval-Augmented Generation (RAG) systems using modern frameworks and tools (e.g., FAISS, Pinecone, LangChain). Fine-tune and evaluate large language models (LLMs) for domain-specific tasks such as text summarization, Q&A, content generation, and chat interfaces. Collaborate with product, engineering, and business stakeholders to translate vague problems into concrete Generative AI use cases with measurable impact. Develop secure, scalable, and production-grade AI pipelines for both batch and real-time generative use cases. Ensure ethical and responsible AI practices, including bias detection, explain ability, and content safety in generative outputs. Mentor junior team members in GenAI frameworks, best practices, and model performance tuning. Stay current with research and industry trends in Generative AI, LLMs, prompt engineering, and multimodal AI, applying cutting-edge techniques to business problems. Contribute to internal AI governance, tooling frameworks, and reusable components for accelerating GenAI development across teams. Work with huge datasets including petabytes of 4G/5G-networks, IoT and exogenous data Propose/select/test predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning, computer vision, text mining, reinforcement learning and other ML systems Define the visualization and dashboarding requirements working closely with the business stakeholders Build proof-of-concepts for business opportunities using AI/ML and present them to business Lead functional and technical analysis within Ericsson businesses to define AI/ML driven business opportunities and build appropriate solutions Work with multiple data sources (internal/external as well as structured/unstructured) and apply the right feature engineering to AI based models Lead studies and creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones as needed. What you will bring Minimum Experience Required - 7 years Job Location - Bangalore Bachelors/Masters/Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction. Applied experience: 3+ years of ML and/or AI production level experience Strong Programming skills (R/Python) with proficiency in at least one Proven ability of leading AI/ML projects end-to-end with complete ownership Able to map the business metrics of success for AI/ML projects to model metrics Strong grounding in mathematics, probability, statistics needed for data analysis and experiments Strong hands-on experience with exploratory data analysis and visualization techniques Strong and hands-on in the use of current Machine Learning frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Ability to implement new algorithms and methodologies from leading open source initiatives and research papers Ability to work with semi-structured and unstructured data sets for AI/ML models Strong understanding of building AI models using Deep Neural Networks Strong hands-on experience in implementing a variety of Machine Learning techniques including model selection, validation, regularization and hyperparameter tuning Good Knowledge of using ensembles and stacking techniques to solve complex ML problems Hands on working in Big Data technologies such as Hadoop, Cassandra etc. Able to source data from multiple data sources and combine them appropriately to build ML models. Preferred Qualifications: Good communication skills in written and spoken English Creativity and ability to formulate problems and solve them independently Certifying MI MOOCS, a plus Applications/Domain-knowledge in Telecommunication and/or IoT, a plus. Experience with data visualization and dashboard creation is a plus Knowledge of Cognitive models is a plus Ability to work independently with high energy, enthusiasm and persistence Experience in partnering and collaborative co-creation, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence. Show more Show less

Hiring Assistant Professors in Mathematics with Ph.D. and 2–7 years’ experience in teaching and research. Specializations include Linear Algebra, Probability, Optimization, Data Science, and Machine Learning.

Job Title Production Support Analyst Location Gurgaon, India Reports to Head of Prod Support For advertising: About FNZ Who We Are FNZ Group is an established and rapidly growing company in the financial technology sector. We partner with the entire industry to make wealth management accessible to more people. Today, we partner with over 650 financial institutions and 8,000 wealth management firms, enabling over 20 million people across all wealth segments to invest in the things they care the most about, on their own terms. We have over 20+ offices globally with 4500 employees (and growing!). To learn more about us and our journey, check out our careers site. Role Description What would you accomplish as a Production Support Analyst? As an Analyst, your role goes beyond traditional application support. You’ll investigate and resolve complex operational issues affecting critical business processes, ensuring seamless performance across systems and workflows. By analyzing root causes and implementing preventative measures, you’ll safeguard the integrity of services while continuously driving improvement. A core aspect of your role involves ensuring the seamless functioning of the application as deployed, emphasizing proactive and reactive measures to champion continuous service improvement. You will be a member of a critical team who - Application Support: Ensuring that deployed applications function correctly and efficiently. Incident & Problem Management: Conducting analysis, investigation, diagnosis, and problem-solving to identify, troubleshoot, and resolve production issues. Release & Change Management: Supporting testing and overseeing the release process for production fixes and changes. Service Transition: Facilitating smooth transitions from project support to production support for all changes. Service Level Management: Assisting Service Managers in delivering FNZ services while meeting key performance indicators (KPIs), service level agreements (SLAs), and contractual obligations. The Responsibilities Will Include Identifies and resolves issues with applications, following agreed procedures. Carries out agreed application maintenance tasks. Prioritizes and diagnoses incidents according to agreed procedures. Investigates causes of incidents and seeks resolution, escalating as appropriate. Documents and closes resolved incidents according to agreed procedures. Analyses causes of incidents and provides recommendations to minimize probability of recurrence and contribute to service improvement. Initiates and monitors actions to anticipate, investigate and resolve problems in systems, processes, and services. Determines problem fixes and assists with the implementation of agreed remedies and preventative measures. Ensures that such problems are fully documented within the relevant reporting systems. Collaborates with colleagues, operational/client-servicing staff and other users to produce long term scalable solutions that adhere to procedural and regulatory compliance requirements. Works with developers, other analysts and testers to ensure that production fixes and business process changes are fit for purpose. Drafts and maintains procedures and documentation for application support. Other tasks: To undertake any other projects/ tasks as may reasonably be required to facilitate the smooth operation of the production environment. Experience Required What we are looking for: Relevant production support experience and/or qualification within a relevant field. Proficient in writing and optimizing SQL queries to analyze, retrieve, and manipulate data efficiently. Passionate about providing exceptional service to clients. Applying strong analytical thinking and problem-solving skills to resolve challenges effectively. Independent, self-directing and delivery focused working style. Communicating confidently with internal and external clients to understand and fulfill requirements. Prioritizing tasks efficiently in a high-pressure, fast-paced environment. Collaborating with teams while maintaining a self-directed, delivery-focused working style. Excellent organizational, administration and time management skills. Experience Preferred Beneficial but not essential. Interest / familiarity with financial markets and products. Some experience with Microsoft .NET development products, including C#, VB.NET and SQL Server, beneficial but not essential. Open to the variance of work hours, including the flexibility to start earlier or later than standard work hours. For advertising: Opportunities What We Offer We are mission led - work at the heart of a purpose-led organization, where you can be proud of the impact you make, every day. Where you’ll transform the way over 20 million people invest, making wealth management more accessible, sustainable and transparent to more people. Rapid career growth - encouraged to take on responsibility, play a part in the evolution of the company and rapidly drive your career development working on real projects that directly impact our clients and their customers. Market leading technology - Build, create and evolve innovative solutions for the world’s most trusted brands using the latest technologies to help change the face of investing for the future Learning & development – Placing emphasis on a willingness to learn, to think differently, to be creative and to help drive innovation. For advertising: inclusion At FNZ, we recognise that diversity, equity and inclusion are important factors contributing to our success. We embrace the unique perspective and capabilities of our current and future employees, which will help us continue to drive innovation and achieve our business goals. Recruitment decisions at FNZ are made in a non-discriminatory manner without regard to gender, ethnicity/race, faith, age, nationality, gender identity, sexual orientation, marital status, socio-economic background, disability or military veteran status where all applicants and employees are valued and respected. In addition, we want to ensure accessibility needs are well supported, if you require specific support, please advise us. About FNZ FNZ is committed to opening up wealth so that everyone, everywhere can invest in their future on their terms. We know the foundation to do that already exists in the wealth management industry, but complexity holds firms back. We created wealth’s growth platform to help. We provide a global, end-to-end wealth management platform that integrates modern technology with business and investment operations. All in a regulated financial institution. We partner with over 650 financial institutions and 12,000 wealth managers, with US$1.5 trillion in assets under administration (AUA). Together with our customers, we help over 20 million people from all wealth segments to invest in their future. Show more Show less

Job Overview We are seeking a motivated and results-driven Lead Generation Specialist to join our dynamic sales team at Threatcop. The Lead Generation Specialist will generate and nurture B2B leads through various outreach methods, including cold calling , cold emailing, and LinkedIn messaging. A key part of the role will involve leveraging advanced email marketing strategies, such as SPF, DKIM, DMARC, email warmup, and crafting B2B personas for targeted email sequences. Initially, the role will focus on hands-on lead generation, with the opportunity to transition into managing the lead generation team post 3-6 months based on performance. Key Responsibilities: (PST Zone) Lead Generation & Nurturing: Generate SQL (sales-qualified lead), a lead that has a high probability of converting into a customer using outbound cold calls , emails, and LinkedIn messaging, specifically targeting cybersecurity products and services. Email Marketing Expertise: Implement SPF, DKIM, and DMARC for deliverability, conduct email warmup for sender reputation, develop B2B personas for targeted outreach, and create automated email sequences to nurture prospects. Cold Email Campaigns & LinkedIn: Design and execute targeted cold email campaigns, using LinkedIn for lead identification and engagement. Lead Qualification: Use the BANT (Budget-Authority-Need-Time) framework to qualify leads and schedule meetings or calls for the sales team. CRM Management: Track interactions and maintain accurate lead data in the CRM, ensuring all progress and metrics are recorded for reporting purposes. Target Achievement: Consistently meet or exceed monthly and quarterly lead-generation goals and appointment-setting targets. Market Research: Conduct in-depth research to identify high-growth industries and customer segments in cybersecurity and networking markets. Business Development & Pipeline Management: Develop a comprehensive business development strategy to build and maintain a strong sales pipeline. I ndustry Representation: Represent Threatcop at industry events, building relationships with key stakeholders and driving partnerships. Team Leadership (Post 3-6 months): Lead and manage the lead generation team post 3-6 months, driving their performance and ensuring KPIs are met. Qualifications Bachelor's or Master’s degree in Technology (B.Tech/BCA/M.Tech/MCA) or a related field 2+ years of experience in B2B lead generation Must be comfortable and skilled in conducting high-volume cold calls to potential prospects Hands-on experience with implementing SPF, DKIM, and DMARC for email deliverability, performing email warmups, and creating targeted B2B personas. Must possess full proficiency in both spoken and written English to communicate effectively with prospects and clients. Proficiency with CRM tools, email marketing platforms, and LinkedIn for lead generation and outreach. Why You'll Enjoy Working at Threatcop: Working with us allows you to gain hands-on experience and training on various industry-leading tools for database management and prospecting. Tools such as ZOHO CRM, Lusha, Apollo.io, Notion, LinkedIn Sales Navigator, and more will be at your disposal, empowering you to enhance your skills and streamline your work. Get the fast learning and exciting environment of a startup, combined with the stable work and strong performance of a bigger company. There's lots of room to learn, grow, and share your ideas. We also provide good benefits like health insurance, a gratuity payment, and Employees' Provident Fund (a savings plan for your future). We are an equal opportunity employer, where everyone has a fair chance. About Us: Threatcop Inc. is a leading People Security Management(PSM) company and a sister concern of Kratikal. Threatcop helps organizations reduce the impacts of cyber threats by strengthening the cybersecurity posture of employees. With a focus on reducing social engineering and email-based attacks, we transform employees from the weakest link to the strongest line of defense. Serving over 250+ large enterprises and 600+ SMEs across 30+ countries , Threatcop assists clients in sectors such as E-commerce, Finance, BFSI, Healthcare, Manufacturing, and Telecom with clients like Axis Bank, Gail India, ONGC, MaxLife Insurance, Daman Insurance, UNICOIL, NPCI, Tata Consumer Products and many others. We are a USA-based company , headquartered in Noida with offices in Mumbai, Pune, Bangalore, Chennai, Dubai, and Riyadh. We use the A-A-P-E (Assess, Aware, Protect, Empower) framework to deliver effective products such as TSAT, TLMS, TDMARC and TPIR to tackle evolving cyberthreats. By focusing on preventing human error, our People Security Management (PSM) approach empowers organizations to foster a culture of cybersecurity awareness to tackle modern cyber threats. For more details, visit us at: www.threatcop.com Show more Show less

Search by Keyword Search by Location Show More Options Loading... Location All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply Now » Apply Now Start applying with LinkedIn Please wait... Title: Manager - Regulatory Affair Date: Jun 3, 2025 Location: Gurgaon - R&D Company: Sun Pharmaceutical Industries Ltd Job Description Position : Manager/Senior Manager Job Location : Gurgaon Education : M.Pharm Department : Global Regulatory Affairs Job Responsibilities Serve as a Regulatory CMC Product Lead and provide CMC Regulatory leadership within Regulatory and on cross-functional teams for the assigned branded being developed for US and other advanced markets like EU & Canada Ensure lifecycle management through timely submission of annual reports, supplements etc to ensure product continuity The CMC Product Lead is accountable for the delivery of all regulatory milestones for higher complexity products in which responsible including assessment of the probability of regulatory success together with risk mitigation measures. Lead the development, communication, and review of the CMC Regulatory Strategy Document for projects of increasing complexity. Provide regulatory leadership as needed in product in-license/due diligence review, product divestment and product withdrawal. Manage execution of CMC documentation including PIND/IND/CTA, original NDA/MAA, agency background packages and responses to health authority questions per established business processes and systems. Support new technology development within our Company. Demonstrate an understanding of regulatory affairs and applies this understanding to the benefit of the company to ensure the approval and continued market supply of our Branded products worldwide. Conduct all activities with an unwavering focus on compliance. May need to manage or mentor junior team members. Technical Skills: Hands of expertise of preparation & review of dossiers, response to queries, communication with agencies for developed markets like US/EU Proven experience in critically reviewing detailed scientific information and assessing whether technical arguments are presented clearly and conclusions are adequately supported by data. Demonstrated superior oral and written communication skills in multicultural settings and ability to communicate complex issues in a succinct and logical manner. Strong listening skills. Demonstrated sound understanding of related fields (e.g., manufacturing, analytical, quality assurance) and the ability to be creative and imaginative in the approach to new and diverse problem solving. Demonstrated ability to generate innovative solutions to complex regulatory problems and effectively work with and communicate to key stakeholders. Demonstrated flexibility in responding to changing priorities or dealing with unexpected events. Demonstrated effective leadership, communication, interpersonal and negotiating skills. Education Minimum Requirement: M-Pharm in pharmaceutical sciences Required Experience and Skills: 10-15 years of hands on experience in regulatory affairs This role needs a seasoned professional who is aware of the regulatory activities for NDAs, can work in R & D CFT and who has the management capability of leading a group of team members The candidate must be proficient in English; additional language skills are a plus. Good inter-personnel skills with ability to direct multi-departmental functions. Apply Now » Apply Now Start applying with LinkedIn Please wait... Show more Show less

Search by Keyword Search by Location Show More Options Loading... Location All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply Now » Apply Now Start applying with LinkedIn Please wait... Title: Manager - 1 Date: May 27, 2025 Location: Tandalja - R&D Company: Sun Pharmaceutical Industries Ltd Job Summary As a Central Investigation Team member, primary role is statistical analysis of manufacturing data for the probable root cause and for other technical issues at site. Assessment for Dissolution similarity as part of submission requirements. Statistical support for query response. Other statistical analysis for content uniformity, probability of dissolution failures. Area Of Responsibility Statistical analysis of process parameter and material attributes, to identify probable route cause. Shelf life extrapolation for filling and query requirements. Inverse extrapolation for release limits identification. Multivariate analysis for manufacturing investigations. Dissolution similarity by model dependent and independent methods. DoE for route cause investigation and confirmation as applicable Process capability assessment as needed. Training of CFT’s on Basic statistic and stability analysis Statistical support for justifying specification limits Content uniformity assessment as per need, based on ASTM E2709/E2810 Apply Now » Apply Now Start applying with LinkedIn Please wait... Show more Show less