2051 Probability Jobs

Immediate Hiring: Data Science / Data Analyst Trainer (Onsite – Delhi) About the Role: Veridical Technologies is looking for passionate and skilled professionals to join as Trainers in Data Science, Data Analytics at our Delhi center. This is a hardcore training profile – only those serious about building careers in teaching and mentoring should apply. Who Can Apply: Experienced Trainers with 2–3 years of proven training experience Freshers/Trainees with strong technical knowledge and a passion for teaching Only Delhi-based candidates (or those ready to relocate immediately) Key Training Areas: Machine Learning & Deep Learning Mathematics: Statistics, Probability, Calculus, Linear Algebra Programming: Python, R, SAS, SQL, SciPy Stack (NumPy, Pandas, Matplotlib) Data Visualization: Tableau, Power BI, MS Excel Databases: MySQL, MongoDB, Oracle Requirements: Qualification: M.Tech (IT/CS) / MCA / B.Tech (IT/CS) Excellent communication & presentation skills Passion for mentoring students in IT & Data Science fields Salary: ₹14,000 – ₹30,000 (based on experience) Location: Veridical Technologies Aggarwal Prestige Mall, 512, 5th Floor, Rani Bagh, Pitampura, Delhi – 110034 (Landmark: M2K Pitampura | Nearest Metro: Kohat Enclave / Shakurpur) Contact: +91 93195 93915 www.veridicaltechnologies.com Job Type: Full-time Pay: ₹14,000.00 - ₹30,000.00 per month Work Location: In person

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Generative AI (GenAI) background, and tech skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Specialist Organization GenAI team as a Specialist Solutions Architect! Key job responsibilities Build and maintain technical trusted advisor relationships with influential technical decision makers for the successful adoption and deployment of AWS Gen AI services Architect solutions leveraging AWS Gen AI services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of the AWS Cloud platform and Gen AI Services. Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, whitepapers, presentations, how to guides etc.) Present AWS services and technologies through forums such as AWS Blogs, Whitepapers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events. Capture and share best practices and insights internally and with partners and customers. Develop and support an AWS internal community of AI related Subject Matter Experts Collaborate with business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services. Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform. Act as a technical liaison between customers, service engineering teams and support. Provide updates on customer progress and ensure plan execution by partners. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning/Gen AI solutions Strong understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts. Deep experience developing AI models in real-world environments. Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services. Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. Strong written communication skills. Working knowledge of software development tools and methodologies. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired 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 AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Generative AI (GenAI) background, and tech skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Specialist Organization GenAI team as a Specialist Solutions Architect! Key job responsibilities Build and maintain technical trusted advisor relationships with influential technical decision makers for the successful adoption and deployment of AWS Gen AI services Architect solutions leveraging AWS Gen AI services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of the AWS Cloud platform and Gen AI Services. Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, whitepapers, presentations, how to guides etc.) Present AWS services and technologies through forums such as AWS Blogs, Whitepapers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events. Capture and share best practices and insights internally and with partners and customers. Develop and support an AWS internal community of AI related Subject Matter Experts Collaborate with business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services. Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform. Act as a technical liaison between customers, service engineering teams and support. Provide updates on customer progress and ensure plan execution by partners. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning/Gen AI solutions Strong understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts. Deep experience developing AI models in real-world environments. Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services. Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. Strong written communication skills. Working knowledge of software development tools and methodologies. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired 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 AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Generative AI (GenAI) background, and tech skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Specialist Organization GenAI team as a Specialist Solutions Architect! Key job responsibilities Build and maintain technical trusted advisor relationships with influential technical decision makers for the successful adoption and deployment of AWS Gen AI services Architect solutions leveraging AWS Gen AI services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of the AWS Cloud platform and Gen AI Services. Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, whitepapers, presentations, how to guides etc.) Present AWS services and technologies through forums such as AWS Blogs, Whitepapers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events. Capture and share best practices and insights internally and with partners and customers. Develop and support an AWS internal community of AI related Subject Matter Experts Collaborate with business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services. Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform. Act as a technical liaison between customers, service engineering teams and support. Provide updates on customer progress and ensure plan execution by partners. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning/Gen AI solutions Strong understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts. Deep experience developing AI models in real-world environments. Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services. Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. Strong written communication skills. Working knowledge of software development tools and methodologies. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired 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.

About Bluevine Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit—all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, we’re empowering entrepreneurs to grow with confidence. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, we’ve been supporting SMBs since 2013, serving over 750,000 customers nationwide and growing a dynamic global team of 500 people. Our mission? To fuel small businesses with the financial tools they need to succeed. At Bluevine, you’ll be part of a collaborative, fast-paced team that’s reshaping the future of banking. Ready to make an impact? This is a hybrid role . At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline. Key Responsibilities: Marketing Model Development & Optimization Design and build response models to predict the likelihood of customer engagement with campaigns. Develop approval models to estimate a lead’s probability of being approved for financial products. Analyze match backs (expected value calculations) to support decisions for direct mail and paid marketing initiatives. Campaign Analytics & Insights Partner with marketing teams to design experiments, define KPIs, and measure campaign effectiveness. Conduct deep-dive analyses on direct mail and digital media campaigns to extract actionable insights. Drive targeting strategy and segmentation using model outputs and historical performance data. Scalable Implementation & Model Management Ensure models are production-ready using software engineering best practices. Monitor and improve model performance over time, integrating results into campaign execution pipelines. Cross-Functional Collaboration Work closely with global stakeholders across Data Science, Marketing, Risk, Product, and Engineering. Provide thought leadership on applying machine learning to growth and acquisition efforts. Translate technical findings into clear, business-impactful recommendations. What We’re Looking For: 8+ years of experience in data science with a focus on marketing, growth, or customer acquisition. Proven track record developing and deploying predictive models for marketing use cases. Strong proficiency in Python and ML libraries (e.g., Scikit-learn, XGBoost, PyTorch, or TensorFlow). Advanced SQL skills and experience working with large-scale relational databases. Deep understanding of statistical testing, experiment design, and campaign performance analysis. Ability to think creatively and move quickly, with a bias for action in a fast-paced environment. Exceptional communication skills with the ability to present findings clearly to non-technical stakeholders. Master’s or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative field. Bonus Points: Experience with direct mail targeting, paid media optimization, or acquisition funnel analytics. Background in fintech, credit products, or regulated industries. Familiarity with MLOps, particularly in the AWS ecosystem, and workflow tools like Apache Airflow. Prior work involving uplift modeling, lookalike modeling, or media mix optimization. Benefits & Perks Excellent group health coverage and life insurance Stock options Hybrid work model Meal allowance Transportation assistance (terms and conditions apply) Generous paid time off plan, Holidays Company-sponsored mental health benefits Financial advisory services for both short- and long-term goals Learning and development opportunities to support career growth Community-based volunteering opportunities

Infilon Technologies , a prominent software development company based in Ahmedabad, is seeking a Senior Data Scientist (Immediate Joiner) to lead advanced analytics initiatives. The role involves working on large, complex datasets, building scalable data-driven solutions, and applying mathematical and algorithmic techniques to uncover insights. Job Location: Ahmedabad, Gujarat (Work from Office) Experience: 6+ Years Key Responsibilities Implement solutions using modern AI/ML frameworks to build, train, and deploy machine learning models at scale. Develop and implement data similarity algorithms (e.g., Jaccard similarity, cosine similarity). Design and optimize data models across SQL and NoSQL databases. Work closely with engineers and stakeholders to deliver scalable, intelligent solutions. Design and implement advanced search and traversal algorithms for complex data structures. Work on large-scale, highly interconnected datasets to uncover patterns, insights, and business value. Use your mathematical expertise to solve algorithmic and analytical challenges. A quick learner with a proven ability to be adaptive to new technologies and evolving project requirements. Exceptional analytical and problem-solving skills with a keen attention to detail. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Required Skills 6+ years in data science or architecture roles. Strong hands-on experience with SQL & NoSQL databases . Solid background in mathematics . Experience with search algorithms and data science workflows . Proficient in Python and relevant ML libraries. Proven knowledge of data similarity and search algorithms . Strong background in mathematics (linear algebra, statistics, probability, calculus). Nice to Have Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Exposure to distributed computing frameworks (e.g., Spark, Hadoop). Prior experience in architect-level roles in data-driven product teams. Understanding of electrical components . Join us today and power your potential! Interested Candidates, kindly share your CV at hr@infilon.com www.infilon.com Ahmedabad, Gujarat

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What's in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What's In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Description Sony is looking for a Deep Learning engineer who has strong knowledge and experience in design and development of Deep learning models according to business objectives. In this role, the candidate must analyse the requirements, prepare design and implement Deep Learning solutions. This requires a sound understanding of ML and Deep Learning fundamentals, libraries and frameworks, end-to-end ML development pipeline. Literature survey of SOTA models as per business requirements and AS-Is reproduction of Deep Learning models. Design and development of CNN models according to the business objective, along with metrics to track their progress. Optimize the CNN models in terms of trainable parameters and MAC operations to meet the target platform. Debug the intermediate as well as final layer output of trained model using various explainable AI methods. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world and Evaluation approaches for model development. Training models and tuning their hyperparameters. Analysing the errors of the model and designing strategies to overcome Set Required : Advanced Python Programming. Image processing using OpenCV. Keras, To Have Skills : Deep knowledge of math, probability, statistics and algorithms. CNN Development Advanced. OOPS : Required : Deep learning, python, Computer Vision, machine learning, Keras, Tensorflow, Image : Analyse customer requirements. Design and Implement features requested by customer. Verify, finetune solution and model and artefacts. Validation of quality as per requirements. Customer communication. Also mentor junior members and ensure quality of deliverables in the : : Qualifications Bachelors or Masters in Computer Science, Engineering, Mathematics or related. 3 to 5 years of experience with ML libraries and frameworks, DNN model development, data visualization and preparation, advanced python programming, Skills : OOPS, Algorithm Of Exp : 4 to 7 : Technical Specialist. (ref:hirist.tech)

Job Description Job Description Join our dynamic team of innovators and technologists as a Applied AI/ML Associate , where your mission will be to revolutionize how the Private Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment—one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele. Job Responsibilities Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes. Develop and maintain machine learning models to solve complex business problems Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions Analyse large, heterogenous datasets to extract actionable insights and inform decision-making Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems Identify the right state of the art solutions for the bank’s objectives and implement them as clean, production-ready code Communicate findings and recommendations through clear and concise reports and presentations Required qualifications, capabilities and skills Proficiency in Python and SQL and familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred Qualifications, Capabilities And Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc Experience in deep neural networks and familiarity with the latest developments in related fields Experience in LLM model finetuning and continuous learning techniques Experience in prompt engineering techniques and state-of-the-art LLM architectures 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.

Job Description Job Description Join our dynamic team of innovators and technologists as a Applied AI/ML Associate , where your mission will be to revolutionize how the Private Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment—one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele. Job Responsibilities Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes. Develop and maintain machine learning models to solve complex business problems Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions Analyse large, heterogenous datasets to extract actionable insights and inform decision-making Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems Identify the right state of the art solutions for the bank’s objectives and implement them as clean, production-ready code Communicate findings and recommendations through clear and concise reports and presentations Required qualifications, capabilities and skills Proficiency in Python and SQL and familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred Qualifications, Capabilities And Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc Experience in deep neural networks and familiarity with the latest developments in related fields Experience in LLM model finetuning and continuous learning techniques Experience in prompt engineering techniques and state-of-the-art LLM architectures 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.

The opportunity Manage a team of Tender Quotation Specialists to deliver high quality, competitive offers and timely submissions to Customers. Prepare Bids & proposals during tendering phase. Drive the team to have complete responsibility for the tenders prepared from IN Operation Center with appropriate inputs from the different stakeholders. How You’ll Make An Impact Lead a team of Tender Quotation Specialists in the preparation of competitive offers. Responsible for process, tool & QMS implementation actions within the team. Implement LOM Tendering process in-line with the global framework. Ensure tendering processes are followed within the team and ensure close, efficient collaboration with all the tendering stakeholders Forecast planning of tenders for the team in close coordination with OU Tendering Managers Take responsibility for team organization, planning, staffing as well as budgeting Resource planning for the new tenders & monitor of the pipeline tenders collaborating with Operating Units Responsible for maintaining internal & external KPIs. Takes responsibility for Tender delivery of the team and ensure KPIs on track. Review & Guide the team members on Tender Solution Strategy in-line with the local market. Guide Analyzing the risk probability & severity of the tenders from technical, commercial, contractual perspectives & support the team towards the mitigation strategy liasing with the different disciplines. Handling of Performance & development for team members and support performance management in-line with the required tendering competencies. Provide feedback to the team members and develop their competency level Identify improvement areas & implement within the team. Training & Development of team members. Handling the daily operational issues and others . Responsible for daily/weekly follow up meetings with the team members . Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your background Bachelors in Electrical & Electronics with 10+ years of experience in similar role. Masters in Power Systems with 8+ years’ experience in similar role. Experience in People Management and handling a small team, Deep knowledge in substation tendering and project engineering activities (technical & commercial). Knowledge of Hitachi Energy Products & System offerings). Experience and skill to prepare and support Bid Process. Strong communication and people skills with high focus on internal and external Stakeholders and their needs. Eagerness for learning and innovation, readiness of mind for the use of various new tools for the engineering tasks but also for organizing the team efficiently. Proficiency in both spoken & written English language is required. Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future through innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives. With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time – balancing soaring electricity demand, while decarbonizing the power system. Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD. We welcome you to apply today.

Use predictive modelling to increase and optimize power generation, price, cost savings, customer experiences and other business outcomes. Experience in statistical modelling, machine learning, probability theory, algorithms. data mining, unstructured data analytics and natural language processing. Expertise in machine learning techniques such as Clustering, Regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, SEM, GLM, GLMM, Deep learning, Neural Network, Topic Modelling, Multivariate Statistics, K-NN, Naïve Bayes etc. Working knowledge of popular Deep Learning architectures and theory, simulation, scenario analysis, constraint optimization, anomaly detection, semi-supervised machine learning, unsupervised learning algorithms using deep learning etc. Experience with optimization techniques (Linear Programming, Genetic Algorithm, Sim. Annealing, MC Simulation) Experience in one of the upcoming technologies like deep learning, NLP, NLG, image processing, recommender systems, chatbot, voice AI, video AI etc. Experience of working on end-to-end data science pipeline: problem scoping, data discovery and extraction, EDA, modelling, evaluation, insights, visualizations, continuous improvement, maintenance, and business value/impact tracking. Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes You will be required to discuss and use various algorithms and approaches daily. Leading the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation. Agile SCRUM and MLOps experience is preferred. Develop reusable/scalable assets and accelerators. Implement ML best practices. Work directly with our internal technical teams to ensure that our solutions are seamlessly and effectively integrated Analyse the market and industry trends in the technology and proactively look for opportunities in proposing the best solutions. Proactively research on upcoming ML techniques and best practices. Responsible for coding, testing, debugging, evaluating solution/ technology options (including Cloud), and documenting application development Migrate current analytics applications & pipelines to Cloud in future Qualifications Experience - 8-15 yrs Qualification - Graduate with Engineering Degree (CS/Electronics/IT) / MCA / MCS + Masters in Statistics/Economics/Business Analytics

Immediate Hiring: Data Science / Data Analyst Trainer (Onsite – Delhi) About the Role: Veridical Technologies is looking for passionate and skilled professionals to join as Trainers in Data Science, Data Analytics at our Delhi center. This is a hardcore training profile – only those serious about building careers in teaching and mentoring should apply. Who Can Apply: Experienced Trainers with 2–3 years of proven training experience Freshers/Trainees with strong technical knowledge and a passion for teaching Only Delhi-based candidates (or those ready to relocate immediately) Key Training Areas: Machine Learning & Deep Learning Mathematics: Statistics, Probability, Calculus, Linear Algebra Programming: Python, R, SAS, SQL, SciPy Stack (NumPy, Pandas, Matplotlib) Data Visualization: Tableau, Power BI, MS Excel Databases: MySQL, MongoDB, Oracle Requirements: Qualification: M.Tech (IT/CS) / MCA / B.Tech (IT/CS) Excellent communication & presentation skills Passion for mentoring students in IT & Data Science fields Salary: ₹14,000 – ₹30,000 (based on experience) Location: Veridical Technologies Aggarwal Prestige Mall, 512, 5th Floor, Rani Bagh, Pitampura, Delhi – 110034 (Landmark: M2K Pitampura | Nearest Metro: Kohat Enclave / Shakurpur) Contact: +91 93195 93915 www.veridicaltechnologies.com Job Type: Full-time Pay: ₹14,000.00 - ₹30,000.00 per month Work Location: In person

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Generative AI (GenAI) background, and tech skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Specialist Organization GenAI team as a Specialist Solutions Architect! Key job responsibilities Build and maintain technical trusted advisor relationships with influential technical decision makers for the successful adoption and deployment of AWS Gen AI services Architect solutions leveraging AWS Gen AI services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of the AWS Cloud platform and Gen AI Services. Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, whitepapers, presentations, how to guides etc.) Present AWS services and technologies through forums such as AWS Blogs, Whitepapers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events. Capture and share best practices and insights internally and with partners and customers. Develop and support an AWS internal community of AI related Subject Matter Experts Collaborate with business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services. Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform. Act as a technical liaison between customers, service engineering teams and support. Provide updates on customer progress and ensure plan execution by partners. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning/Gen AI solutions Strong understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts. Deep experience developing AI models in real-world environments. Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Familiarity with common enterprise services. Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. Strong written communication skills. Working knowledge of software development tools and methodologies. Experience working within software development or Internet-related industries. AWS Solution Architecture certification or relevant cloud expertise. Computer Science /relevant degree and/or experience highly desired 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.

Job Description  Role: Emission Regulation research and development · Work description overview: Research, Analysis and Impact Assessment of Various Regulatory Updates or Proposals under discussion related to Vehicular Emissions, Automotive Fuel Specifications, Environmental Policies concerning Pollution & Ambient Air Quality. Study various reports published by Key Stake holders (such as NGOs / Academia / Policy Research Groups etc,) for key suggestions / recommendations and impact assessment along with Risk Mitigation scenarios / counter proposals Driving internal Organizational Consensus on Proposals / Overall Organizational Views & Position for External Stakeholder (Automotive Industry Bodies / Regulatory / Govt. Bodies) Consultation and Consensus · Key Skills (Mandatory) o Understanding of Existing Standards / Directives for pollutant and GHG emissions & its impact Assessment Possess knowledge of relevant regulations (AIS, UNR, EU, ISO etc.) concerning Vehicle Emissions & CO2 Measurement Procedure, CAFÉ Calculations and related standard, Able to assess impact in terms of development efforts for meeting new regulatory scenarios. o Understanding of environmental science and engineering § Have a strong understanding of the principles of environmental science and engineering, including air quality, pollution control technologies & GHG effect. § Practical exposure (at least 2~3 years) of Emission / CO2 Testing from a Regulatory (Homologation / COP) or Development background o Analyzing data, Empirical modeling, Basic statistics § Able to make relationships from available data and conduct basic statistics to gain insights like variance, regression and correlation, hypothesis testing, probability, etc. o Communication, Collaboration, stakeholder engagement: § Communicating with stakeholders to explain regulations, address concerns, and prepare proposals. § Working collaboratively with internal & external scientists, engineers, and policymakers to develop and implement effective emission control strategies. o Ideation for new proposal making for mobility related regulatory scenario based on national goals and international benchmarking. · Technical skills o Microsoft office – Advanced Excel, Word & PowerPoint, MS teams. o Use of AI tools – ChatGPT, TenseAI or others o Technical report / content writing o Data analytics (use of automation & programming tools is preferred) o Basic working statistics

Job Title: Data Science Intern - AI/ML Solutions Job Type: Internship (On-Site - West Delhi) Duration: 6 Months Location: Delhi Pre Placement Offer (Based on performance) To apply kindly Fill this form - https://forms.gle/ytAXm9wdaMcVT1XT6 At FloData Analytics, we’re seeking a versatile Data Science Intern with curiosity across Machine Learning, Computer Vision, and Generative AI. The ideal candidate should demonstrate curiosity and adaptability in exploring diverse AI applications, from classical ML algorithms to cutting-edge generative models and vision systems. You’ll work on real-world, cross-domain projects, combining analytical rigor with creative problem-solving and clear communication. We value self-motivation, continuous learning, and the ability to work both independently and collaboratively in a dynamic environment. Key Responsibilities Assist in developing end-to-end AI solutions across multiple domains - classical machine learning, computer vision, and generative AI applications, working with both structured and unstructured data Build robust data pipelines to preprocess, clean, and transform diverse data types (text, images, time-series), ensuring high-quality inputs for modeling; conduct in-depth exploratory data analysis (EDA) to uncover patterns Implement and optimize models, ranging from traditional algorithms to advanced architectures (e.g., CNNs, transformers), tailored to project requirements; benchmark and evaluate model performance to ensure scalability, accuracy, and efficiency. Exposure to advanced AI methodologies, including transfer learning, prompt engineering, and retrieval-augmented generation (RAG). Assist in deploying AI solutions using web frameworks (Streamlit/Flask/FastAPI) to create interactive applications with integrated AI capabilities Collaborate with senior data scientists on cross-functional projects combining vision, language, and predictive analytics components Skills Required Education: Pursuing a degree/Graduate in Data Science, Computer Science, Mathematics, or a related field Programming: Strong Python proficiency with NumPy, Pandas, Matplotlib/Seaborn; decent SQL expertise Machine Learning: Understanding of supervised/unsupervised algorithms, statistical concepts, probability distributions, hypothesis testing, and time series analysis Deep Learning: Experience with TensorFlow/PyTorch; Understanding of neural network architectures (CNNs, transformers) Computer Vision: Familiarity with OpenCV, object detection (YOLO), OCR, and segmentation techniques NLP & Generative AI: Knowledge of text preprocessing, embeddings, LLMs, prompt engineering, and RAG system Good to Have Experience with AI frameworks (LangChain, LamaIndex, Crew AI) Speech recognition models (OpenAI Whisper) Automation tools (n8n) and containerization (Docker) Portfolio demonstrating cross-domain AI projects Version control with Git Job Types: Full-time, Internship Contract length: 3 months Pay: ₹10,000.00 - ₹15,000.00 per month Work Location: In person

Job Title : Subject Matter Expert (SME) – Statistics Department : Academic Content / Research & Analytics Location : Nungambakkam Chennai Job Type : Full-Time Experience Level : 2–6 years preferred Job Summary : We are looking for a highly competent Subject Matter Expert (SME) in Statistics to contribute to academic content development, course material creation, and quality assurance. The ideal candidate will have deep expertise in statistical theory and applications, and a passion for simplifying complex concepts for learners or clients. Key Responsibilities : Develop accurate, well-structured, and step-by-step solutions to statistics-related questions and problems. Create academic content, assessments, lesson plans, video scripts , and other instructional materials for undergraduate or postgraduate levels. Review and validate statistical content for accuracy, conceptual clarity, and alignment with curriculum or project objectives . Support data-driven projects or case studies by applying appropriate statistical techniques. Provide technical mentoring or training to internal teams or external learners when required. Stay updated with latest trends and technologies in statistics, data analytics, and software tools . Core Areas of Expertise (as applicable): Descriptive & Inferential Statistics Probability Theory and Distributions Hypothesis Testing Regression Analysis (Linear & Logistic) ANOVA, Chi-square, T-tests Statistical Inference Time Series Analysis Sampling Techniques Data Interpretation Experimental Design Required Qualifications : Master’s or Ph.D. in Statistics, Applied Mathematics, Data Science, or related fields . Strong foundation in both theoretical and applied statistics . Experience in content creation, teaching, academic writing, or research (preferred). Desired Skills : Proficiency in statistical tools like R, Python, SPSS, SAS, Stata, or Excel. Familiarity with e-learning tools or platforms (e.g., Moodle, Canvas, or proprietary LMS). Strong written communication and academic writing abilities. Ability to explain complex statistical ideas in a clear, simple, and engaging manner . Attention to detail and commitment to quality and accuracy . Contact : 9566269922 Job Types: Full-time, Fresher Pay: From ₹25,000.00 per month Benefits: Paid sick time Provident Fund Work from home Work Location: In person

We are seeking a highly skilled and experienced Credit Valuations Analyst to join our esteemed buy-side client's Valuations Team, specializing in credit valuations of private companies. As a member of the team, you will play a critical role in conducting comprehensive credit valuations, updating valuation models, and providing valuable insights to support informed investment decisions. Key Responsibilities: Conduct Credit Valuations: Perform thorough credit valuations of private credit investments, including analyzing financial statements, credit agreements, and market data to determine creditworthiness and potential risks. Develop and Maintain Credit Valuation Models: Create, maintain, and refine credit valuation models tailored to specific asset classes, ensuring accuracy and relevance. Collaborate with Investment Team: Work closely with the Investment Team to assess and mitigate credit risks associated with existing investments, providing expert analysis and recommendations. Credit Risk Assessment: Perform thorough credit risk assessments on new investment opportunities, analyzing financial statements, credit reports, and market dynamics to inform investment decisions. Modeling and Reporting: Work through complex models to estimate the value of credit investments, considering credit metrics, default probabilities, and recovery rates, and prepare detailed credit valuation reports and presentations for internal and external stakeholders. Monitor Credit Portfolio Performance: Track key credit performance indicators, identify strategies for credit risk mitigation, and ensure compliance with industry standards, accounting regulations, and reporting requirements. Requirements: Master's Degree: Hold a Master's degree in Finance, Economics, Accounting, or a related field. Minimum 3 Years of Experience: Have a minimum of 3 years of experience in credit valuations within the financial services industry. Strong Technical Skills: Demonstrate strong proficiency in financial modeling, credit analysis, and data analysis, with expertise in assessing credit risk, financial statement analysis, and interpreting complex financial data. CFA Designation: Hold a CFA designation or be actively pursuing the CFA program (preferred). Advanced Proficiency in Financial Tools: Possess advanced proficiency in MS Excel, Bloomberg, and other relevant financial analysis tools, such as credit risk modeling software. Excellent Communication Skills: Demonstrate strong written and verbal communication skills, with the ability to present complex credit information effectively and communicate very well with on-shore analysts. Collaborative Mindset: Proven ability to work independently and collaboratively in a fast-paced, dynamic environment. Preferred Qualifications: Credit Risk Certification: Hold a credit risk certification, such as the Certified Credit Risk Manager (CCRM) or the Credit Risk Certification (CRC). Experience with Credit Risk Models: Have experience with credit risk models, such as probability of default (PD) models, loss given default (LGD) models, and expected loss (EL) models. Knowledge of Credit Markets: Have a strong understanding of credit markets, including high-yield bonds, leveraged loans, and private credit.

Location: Chennai, Tamil Nadu, India Job ID: R0104338 Date Posted: 2025-09-01 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): Sales, Marketing & Product Management Job Schedule: Full time Remote: No Job Description: The opportunity Manage a team of Tender Quotation Specialists to deliver high quality, competitive offers and timely submissions to Customers. Prepare Bids & proposals during tendering phase. Drive the team to have complete responsibility for the tenders prepared from IN Operation Center with appropriate inputs from the different stakeholders. How you’ll make an impact Lead a team of Tender Quotation Specialists in the preparation of competitive offers. Responsible for process, tool & QMS implementation actions within the team. Implement LOM Tendering process in-line with the global framework. Ensure tendering processes are followed within the team and ensure close, efficient collaboration with all the tendering stakeholders Forecast planning of tenders for the team in close coordination with OU Tendering Managers Take responsibility for team organization, planning, staffing as well as budgeting Resource planning for the new tenders & monitor of the pipeline tenders collaborating with Operating Units Responsible for maintaining internal & external KPIs. Takes responsibility for Tender delivery of the team and ensure KPIs on track. Review & Guide the team members on Tender Solution Strategy in-line with the local market. Guide Analyzing the risk probability & severity of the tenders from technical, commercial, contractual perspectives & support the team towards the mitigation strategy liasing with the different disciplines. Handling of Performance & development for team members and support performance management in-line with the required tendering competencies. Provide feedback to the team members and develop their competency level Identify improvement areas & implement within the team. Training & Development of team members. Handling the daily operational issues and others. Responsible for daily/weekly follow up meetings with the team members. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your background Bachelors in Electrical & Electronics with 10+ years of experience in similar role. Masters in Power Systems with 8+ years’ experience in similar role. Experience in People Management and handling a small team, Deep knowledge in substation tendering and project engineering activities (technical & commercial). Knowledge of Hitachi Energy Products & System offerings). Experience and skill to prepare and support Bid Process. Strong communication and people skills with high focus on internal and external Stakeholders and their needs. Eagerness for learning and innovation, readiness of mind for the use of various new tools for the engineering tasks but also for organizing the team efficiently. Proficiency in both spoken & written English language is required. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

We are seeking a highly skilled and experienced Credit Valuations Analyst to join our esteemed buy-side client's Valuations Team, specializing in credit valuations of private companies. As a member of the team, you will play a critical role in conducting comprehensive credit valuations, updating valuation models, and providing valuable insights to support informed investment decisions. Key Responsibilities: Conduct Credit Valuations: Perform thorough credit valuations of private credit investments, including analyzing financial statements, credit agreements, and market data to determine creditworthiness and potential risks. Develop and Maintain Credit Valuation Models: Create, maintain, and refine credit valuation models tailored to specific asset classes, ensuring accuracy and relevance. Collaborate with Investment Team: Work closely with the Investment Team to assess and mitigate credit risks associated with existing investments, providing expert analysis and recommendations. Credit Risk Assessment: Perform thorough credit risk assessments on new investment opportunities, analyzing financial statements, credit reports, and market dynamics to inform investment decisions. Modeling and Reporting: Work through complex models to estimate the value of credit investments, considering credit metrics, default probabilities, and recovery rates, and prepare detailed credit valuation reports and presentations for internal and external stakeholders. Monitor Credit Portfolio Performance: Track key credit performance indicators, identify strategies for credit risk mitigation, and ensure compliance with industry standards, accounting regulations, and reporting requirements. Requirements: Master's Degree: Hold a Master's degree in Finance, Economics, Accounting, or a related field. Minimum 3 Years of Experience: Have a minimum of 3 years of experience in credit valuations within the financial services industry. Strong Technical Skills: Demonstrate strong proficiency in financial modeling, credit analysis, and data analysis, with expertise in assessing credit risk, financial statement analysis, and interpreting complex financial data. CFA Designation: Hold a CFA designation or be actively pursuing the CFA program (preferred). Advanced Proficiency in Financial Tools: Possess advanced proficiency in MS Excel, Bloomberg, and other relevant financial analysis tools, such as credit risk modeling software. Excellent Communication Skills: Demonstrate strong written and verbal communication skills, with the ability to present complex credit information effectively and communicate very well with on-shore analysts. Collaborative Mindset: Proven ability to work independently and collaboratively in a fast-paced, dynamic environment. Preferred Qualifications: Credit Risk Certification: Hold a credit risk certification, such as the Certified Credit Risk Manager (CCRM) or the Credit Risk Certification (CRC). Experience with Credit Risk Models: Have experience with credit risk models, such as probability of default (PD) models, loss given default (LGD) models, and expected loss (EL) models. Knowledge of Credit Markets: Have a strong understanding of credit markets, including high-yield bonds, leveraged loans, and private credit.

Overview: Agnik is a global connected vehicle analytics technology company (www.agnik.com, vyncs.com) with a wide range of products and platforms for the consumer, fleet, insurance, vehicle-repair-services, and automotive OEM markets. Agnik’s onboard data stream mining software manages many in-vehicle devices worldwide. Agnik supports its products in 200+ countries with its headquarters in Columbia, Maryland, United States (USA). Agnik offers a popular connected vehicle product - VYNCS in the consumer market worldwide, Agnik's core analytic offerings span a wide spectrum including vehicle health, maintenance, driver behavior, fuel cost optimization, and location services among others. Agnik team received numerous awards including the Frost & Sullivan Enabling Technology of the Year Award and the IEEE Top-10 Data Mining Case Studies Award Agnik's technology is based on years of research by its co-founders in this area. Agnik's president is an IEEE Fellow, winner of the IBM Innovation Award, and winner of the US National Science Foundation CAREER Award among others. Position: Junior Mathematician (with Python Programming Skills) Location: EcoSpace Business Park, New Town, Kolkata Company: Agnik (A Global Connected Car Technology Company) About the Role: We are seeking Junior Mathematicians to join our Data Science team at our Kolkata office. This role is ideal for individuals with a strong foundation in mathematics and statistics, a passion for algorithm development, and an interest in real-world applications like IoT and connected vehicle technologies. The role involves mathematical research, data modeling, algorithm design, and experimental analysis. A strong grasp of linear algebra, probability, statistics, optimization, Markov processes, and control theory is essential. Working knowledge of Python and a willingness to experiment with code are highly desirable. If you’re passionate about mathematical research and looking to work in a collaborative, tech-driven environment, we’d love to hear from you. Key Responsibilities: As a Junior Mathematician Intern, your role will involve assisting the team in various mathematical and data-related tasks. You will work under the guidance of senior team members and get hands-on experience in applying your academic knowledge to real-world projects. Your responsibilities may include: · Supporting the design and testing of mathematical and statistical models. · Assisting in writing simple Python code to test and validate algorithms. · Learning to analyze data and create basic visualizations. · Helping the team document findings and maintain project-related materials. · Participating in discussions and brainstorming sessions related to mathematical problem-solving. General Duties: · Learn and apply key mathematical concepts such as linear algebra, probability, and statistics to practical tasks. · Assist in collecting, organizing, and cleaning data for experiments and analysis. · Work on small research assignments or literature reviews under supervision. · Practice basic statistical techniques (e.g., regression, sampling, simulations) in Python. · Observe and learn how projects are managed, communicated, and presented within a team. · Prepare short summaries or reports of work done, as part of your learning process. Qualifications: Master’s or Ph.D. in Mathematics, Statistics, or a related mathematical discipline. 0 to 1+ years of relevant experience in mathematical or statistical research roles. 0 to 1+ years of experience in programming with Python (academic or project-based work acceptable). Required Technical Skills: Strong knowledge of linear algebra, probability theory, hypothesis testing, regression, and optimization. Familiarity with data science and machine learning concepts. Proficiency in Python and related libraries for statistical analysis. Experience with data visualization and cleaning. Familiarity with sample design and estimation methods is a plus. Soft Skills: Excellent communication skills (verbal and written) in English. Strong analytical and critical thinking abilities. Team player with a collaborative mindset. Ability to explain technical concepts to non-technical stakeholders. Professional attitude and problem-solving mindset. Employment Type: Internship for the first 3 months (with stipend) Full-time, regular position based on performance Freshers are welcome to apply Number of Openings: 03 Monthly Pay (Internship Period): Up to ₹12,000 Perks & Benefits: Supportive, polite, and friendly work environment Monday to Friday work week Alternate Saturdays off Flexible working hours On-time salary with a fair and transparent pay structure 20 paid holidays per year Easy leave policy (Casual, Sick, Privilege Leave, Comp Offs) Leave encashment Provident Fund (PF) benefits How to Apply: Send your updated resume to abijali[at]agnik[dot]com with the subject line: "Junior Mathematician with Python Programming Knowledge" COVID-19 Safety Policy: As part of our commitment to health and safety, all employees are required to be fully vaccinated against COVID-19. Exemptions may be granted for valid medical reasons. Job Types: Full-time, Fresher, Internship Pay: Up to ₹12,000.00 per month Benefits: Flexible schedule Health insurance Leave encashment Provident Fund Ability to commute/relocate: Rajarhat, Kolkata - 700156, West Bengal: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Have you studied topics such as linear algebra, probability theory, or optimization as part of your academic curriculum? If yes, please mention which ones. Do you have any hands-on experience with Python programming? Please mention any academic projects, online courses, or personal work you've done using Python. Have you worked on any mathematical/statistical projects (academic or personal)? If yes, briefly describe your role and the tools you used. Are you available to work on-site from our New Town, Kolkata office during the internship period? Are you comfortable with our internship stipend structure of up to ₹12,000 per month for the initial 3-month period? Education: Master's (Required) Experience: total: 1 year (Preferred) Language: English (Required) Location: Rajarhat, Kolkata - 700156, West Bengal (Preferred) Work Location: In person

Role: Data scientist I Location: Bengaluru What youll do Were MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, were all united in the vision to lead the programmatic industry and make it better. As a Data scientist I in our data science department, youll have the chance to: Build an end-to-end data-driven / AI / ML / Statistics based Ad-Tech solutions that positions MiQ as the leading programmatic partner for advertisers across the lifecycle of a marketing campaign Look for opportunities to build solutions that would differentiate MiQ from competitors by researching cutting edge AI techniques and technologies Focus on ML/AI solutions that scale - from tech as well as functional point of view Bring innovation and research to focus internally and externally, through submitting white papers, representing MiQ and presenting at conferences, participating in hackathons etc. Who are your stakeholders The Data Scientists internal customers / stakeholders include: Account Managers / Traders / Sales / Analysts: The Data Scientist builds solutions that are used primarily by these internal customers through MiQ proprietary platforms like Lab and The data scientist usually does not directly collaborate with these customers and the market requirements and solution feedback is through Product Management team Product Management: The Data Scientist builds solutions prioritized as part of the Product roadmap What youll bring Experience in applying machine learning, statistical pattern recognition, and data mining algorithms to predict Strong Experience with at-least one programming language - g. Java, Python, R Strong experience with advanced SQL and good experience in big data ecosystem - Hive/Pig/MapReduce, Spark Write optimized and advanced SQL queries to extract, transform, and analyze large datasets Translate mathematical concepts (linear algebra, probability, optimization) into practical model implementations Extreme attention to detail, ability to meet deadlines and priorities Strong written and verbal communication skills A can-do attitude, with a dream to grow alongside Weve highlighted some key skills, experience and requirements for this role. But please dont worry if you dont meet every single one. Our talent team strives to find the best people. They might see something in your background thats a fit for this role, or another opportunity at MiQ. If you have a passion for the role, please still apply. What impact will you create By building an end-to-end data-driven, youll contributes to MiQs Revenue and Gross Profit. You also build generalised Product features that enable key internal stakeholders to discover right audience insights, setup and optimise digital advertising campaigns, and measure the success of these campaigns. You will always develop best practices and handle the transition solutions smoothly to production and host on MiQs proprietary platforms. Whats in it for you Our Center of Excellence is the very heart of MiQ, and its where the magic happens. It means everything you do and everything you create will have a huge impact across our entire global business. MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, were always moving towards becoming an even better place to work. Values Our values are so much more than statements . They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone, so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small. We do what we love - Passion We figure it out - Determination We anticipate the unexpected - Agility We always unite - Unite We dare to be unconventional - Courage Benefits Every region and office have specific perks and benefits, but every person joining MiQ can expect: A hybrid work environment New hire orientation with job specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion Employee resource groups designed to connect people across all MiQ regions, drive action, and support our Apply today! Equal Opportunity Employer Show more Show less

We seek trainers/teacher in Data Engineering/Science, Cloud Computing &DevOps(JaipurPreferred) . Role starts part-time, can be done with your current job. Industrial experience preferred; no prior teaching experience required. High earning potentia l.

About the Company ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/ About the Role We are seeking a talented and motivated student intern for Debt Investment Banking role. This is an extraordinary opportunity for a self-driven, financially skilled student with an eye for excellence. About the Internship: As a debt investment banking intern, you will work on cutting-edge projects involving Debt Investment Banking with simulations. You will engage with real-world financial projects spanning fixed income, structured finance, risk management, and artificial intelligence applications in finance. You will have the opportunity to engage in multiple mini-project simulations across a large number of functional areas. It is a high-impact, portfolio-building opportunity that provides valuable industry experience. Key Responsibilities Fixed Income Analysis & Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies. Debt Investment Strategies: Compare different investment options, including direct corporate bonds, non-convertible debentures (NCDs), and debt mutual funds. Risk & Portfolio Management Macaulay & Effective Duration: Assess interest rate risks in structured finance instruments, considering prepayment risk. Interest Rate Risk & Convexity: Quantify bond price sensitivity to market changes. Value at Risk (VaR): Develop machine learning models to estimate portfolio risk. Virtual Risk Analyser: Evaluate AI-driven risk profiling tools for investors. Credit Research & Risk Analysis Credit Research on Sovereign Bonds: Clean and economic data to assess Sovereign risk profile. Probability of Default Modelling: Build AI-driven models to predict corporate bond defaults. Quantitative Finance & AI in Debt Markets Zero-Coupon Yield Curve: Construct and analyse yield curves from market data. AI in Microsoft Excel: Understand tools to enhance financial modelling. Investment Banking & Structured Finance Credit Spread Analysis: Examine spreads between investment-grade and high-yield corporate bonds. Asset-Backed Securities (ABS): Evaluate risks and returns of different ABS types (credit cards, auto loans, etc.). Project Finance Modelling: Determine optimal bond issuance for a solar power project. What You Will Learn: Practical exposure to debt investment banking with multi-functional area experience. Strong analytical and financial modelling skills through simulations. Enhanced presentation and communication skills. Knowledge of AI applications in finance. Who Should Apply? Student of fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment. Internship Details Duration: Self paced, option for 1 month or 2 month (within a period of 4 months provided). Type: Unpaid

About the Company ZeTheta Algorithms Private Limited is a FinTech start-up in India which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official About the Role We are seeking a talented and motivated student intern for Fixed Income Portfolio Manager Role. This is an extraordinary opportunity for a self-driven, financially skilled student with an eye for banking. Responsibilities Practical assignments associated to fixed income investment and analysis with simulations in: Fixed Income Analysis & Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies. Compare investment options such as corporate bonds, fixed deposits, and mutual funds. Quantitative & AI-based Financial Modelling: Develop financial models in Excel, Python, or R to assess risk and return metrics. Implement AI-driven approaches for analyzing credit risk and probability of default. Work on Value at Risk (VaR) simulations and machine learning models for risk assessment. Debt Market & Credit Research: Analyze corporate bond spreads, relative valuations, and structured finance instruments. Conduct data cleaning and visualization for sovereign credit research and CDS time series data. Assist in the structuring and evaluation of project finance and asset-backed securities. Technology & Automation in Finance: Understand Microsoft Excel AI tools for financial modelling. Develop and test AI models for credit derivatives and portfolio risk assessment. Work on FinTech tools like Virtual Risk Analyser and Virtual Portfolio Analyser. Qualifications A student from any academic discipline. Internship Details • Duration: Self paced with option of 1, 2, 3 or 4 months) • Type: Unpaid