1151 Probability Jobs - Page 12

Position Summary We are looking for a visionary and deeply experienced Principal Data Scientist with 15+ years of experience in advanced data science and machine learning, and proven leadership in Generative AI (GenAI) . You will be responsible for conceptualizing and delivering high-impact AI solutions using large language models (LLMs), diffusion models, and other GenAI techniques, while also mentoring teams and influencing AI strategy across the organization. Key Responsibilities: AI Strategy & Leadership Drive the strategic direction of Generative AI initiatives aligned with business objectives. Evaluate, prototype, and implement GenAI technologies (e.g., GPT, Claude, LLaMA, Stable Diffusion). Serve as an AI thought leader, influencing executive decision-making and shaping the company’s AI roadmap. Model Development & Deployment Design and build advanced GenAI solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Lead the end-to-end development and deployment of ML/GenAI models into production environments. Develop scalable architectures for serving LLMs and other foundation models. Research & Innovation Stay at the forefront of GenAI advancements by engaging with academic research, open-source communities, and industry forums. Contribute to internal AI research initiatives and explore novel applications of generative models. Publish whitepapers, patents, or present at top AI conferences as applicable. Cross-functional Collaboration Collaborate closely with data engineering, product, design, and business stakeholders to translate complex needs into AI-powered solutions. Educate teams on the capabilities, limitations, and ethical considerations of GenAI. Mentorship & Governance Mentor and coach junior and mid-level data scientists. Establish best practices for model governance, ethical AI, bias mitigation, and model explainability. Define frameworks for AI evaluation, monitoring, and lifecycle management. Required Qualifications: 15+ years of experience in data science, machine learning, or artificial intelligence. Demonstrated expertise in building and deploying GenAI solutions, particularly with large-scale language and vision models. Deep knowledge of ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain). Strong programming skills in Python and experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Vertex AI). Strong grounding in statistics, probability, optimization, and deep learning theory. Experience working with multimodal data (text, image, audio, video) and advanced NLP/NLG techniques. Preferred Qualifications: Ph.D. or Master’s in Computer Science, Machine Learning, Mathematics, or related field. Experience with enterprise applications of GenAI (e.g., content generation, synthetic data, co-pilots, document understanding). Familiarity with MLOps and AI model lifecycle management in production environments. Knowledge of AI regulations, data privacy, and responsible AI frameworks.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world. About the role We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages. What you’ll be doing ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality. Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models. Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy. Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters. Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions. Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends. We’re excited if you have Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field. Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases). Great coding skills and strong software development experience (we use Spark, Python, Java). Familiarity with real-time evaluation of models with low latency constraints. Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc. Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB. Ad tech background is a plus. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Assistant Manager – Corporate Finance - Financial Services As part of our EY-Corporate Finance practice, you will help clients understand the value of their business, securities, intellectual property, capital equipment, intangibles and other assets. The group is comprised of several key areas, including business valuation, business modelling, capital equipment and complex securities. The opportunity We are looking for Assistant Managers with expertise in Business Valuation to join EY- Corporate Finance practice. This is a fantastic opportunity to be part of a prominent firm and develop your career through a broad scope of engagements, mentoring, and learning & development Your Key Responsibilities Lead portfolio valuation engagements for tax and financial reporting purposes. Supervising engagement teams that deliver valuation services to private equity, hedge funds, and private credit clients. This includes selecting suitable valuation methodologies and evaluating financial models for illiquid debt and equity investments as well as business enterprise valuations. Exposure to engagements for portfolio valuation, equity valuation, equity allocations, Black-Scholes Option Pricing Model (OPM), Probability Weighted Expected Return Method (PWERM), Level 3 Asset Valuation, debt valuation. Experience with secondary research, report writing and detailed financial modelling. Use current technology and tools to enhance the effectiveness of services provided. Stay abreast of current business and economic developments relevant to our as well as the client's business. Maintain and develop positive, productive, and professional relationships with EY offices globally. Supervise, develop and mentor professionals at the Staff and Senior level. Use current technology and tools to enhance the effectiveness of services provided. Strong written and verbal communication and presentation skills. Skills And Attributes For Success Excellent thoughtfulness, project management, communication, interpersonal and teaming skills Experience in Equity Research, Investment Banking and Corporate Finance Experience in financial modelling, including experience building models from scratch in MS Excel and related software preferred Computer proficiency, including at least one Financial Engineering or statistical software package (e.g MATLAB, Python, R), MS Excel/VBA, Word and Powerpoint. Exposure to databases such as Capital IQ, Bloomberg etc. Willingness and ability to travel, when necessary To qualify for the role, you must have A post graduate degree in Finance, Economics, Accounting (CA) or Business with 4-6 years of related work experience 2-4 years direct experience in utilizing Valuation techniques and methodologies such as Discounted Cash Flow (DCF), Income Approach, market comparable, etc. in a business valuation firm or practice or in venture capital, investment banking, commercial banking, financial research, national valuation firm or experience working in a corporate finance role for an organization, preferably for M&A activities Preferable achievement in or significant progress towards a CFA, ASA, CPA or related certification Ideally, you’ll also have Project management skills Strong communication and presentation skills What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of a market-prominent, multi-disciplinary team of 3500 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

12-15 Yrs of Experience in INJECTION Waterproofing - PROJECT SALES- DELHI Location(Work From Office) Responsibilities Category Management: Develop injection category business in Buildings and infrastructure projects by driving key initiatives, connecting with major customers / influencers and collaborating with product specialists & field sales teams. Impart knowledge & training to develop in-house expertise in the Injections category by collaborating with CSG team for product & application trainings to internal teams & application partners. Buisness Development: Co-create key Initiatives related to Injection grouts for respective segments at regional / national level jointly with sales and business development Team, to ensure long term sustainability of achieving execution excellence objectives for the organization along with the sales and profitability. Be the techno- commercial expert to influence the consultants, clients, contractors, and key applicators and design the working strategy for the approval of PIL in their projects. Support the respective sales team in writing BOQs and suggest injection methodologies for specific injections jobs. Basis the business strategy & macro environment identify the Major Initiatives that need to be taken up, plan the actionable & ensure execution. Cascade the identified KIs with relevant stake holders and monitor periodically, take corrective actions with the support of team to address hurdles at operational levels. Influncer Connect: Set appropriate targets for creating specifications and business development value across the country and develop strategies to achieve the targets by building the project pipeline. Develop and influence the influencers to approve PIL injection grouts and increase the probability of winning by doing necessary ring-fencing activities. Design and drive engagement plans with consultants, specifying agencies (govt. and private) and primary sources with the intent to nurture and sustain business objectives. Drive depth of relationship with key influencers like Clients, Consultants, and applicators. Organize, lead, and participate in selected technical seminars on injection grouts technologies to drive image building in the category. Product Development and Improvement: Proactively identify current product and market gaps by benchmarking with best global practices and design innovative systems and solutions to address the identified need. Co-ordinate with internal stakeholders like product managers of different components of the system and participate in the NPD and product improvement activities by providing necessary technological and commercial inputs. Create new and differentiated product offerings basis on self-assessment or input received from field team on market requirement. Design new product roll out in the market and set the support mechanism for the field sales team for the execution of the same. Monitor the competitors’ portfolios and take necessary corrective actions for improving the technical & marketing collaterals. Qualifications BE CIVIL or BE CHEMICAL ONLY

Job Role: Machine Learning Engineer As a Machine Learning Engineer, you’ll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. Primary responsibilities: 1. Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models. 2. Architecting large scale data analytics / modeling systems. 3. Designing and programming machine learning methods and integrating them into our ML framework / pipeline. 4. Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure 5. Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science. 6. Creation of microservices and APIs for serving ML models and ML services 7. Evaluating new machine learning methods and adopting them for our purposes. 8. Feature engineering to add new features that improve model performance. Required skills: 1. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with around 5 years of professional work experience working on real-world applications. 2. Strong programming background, e.g. Python, Pytorch, MATLAB, C/C++, Java, and knowledge of software engineering concepts (OOP, design patterns). 3. Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch, 4. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts 5. Architecting and implementing end-to-end solutions for accelerating experimentation and model building 6. Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) 7. Ability to perform both independent and collaborative research. 8. Excellent written and spoken communication skills. Preferred qualification and experience: B.E.\B. Tech\B.S. candidates' entries with 3+ years of experience in the aforementioned fields will be considered. M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.

Enterprise Technology Group 1003 Job Description Job Title: Head – Data and AI , Enterprise Technology Group Purpose: To lead and build a strong data analytics and AI team that aims to drive the company towards becoming a data-first and data-driven organization by delivering and maintaining smart data-driven solutions crucial for growth and operations. The individual will accelerate the adoption and implementation of AI solutions to enhance efficiency, innovation, and competitive advantage. The position also involves managing all aspects of new data and AI projects from inception to delivery, as well as day-to-day operations, with a strong focus on assessing business value, ROI and reduce cost. Education: Bachelor's or Master's degree in Computer Science, Math / Quantitative Methods / Econometrics / Information Systems Experience and Proficiency : 10+ years of overall technology experience with years in data and years in AI/data science Preferred Skills: Programming languages: Python, R or likes Understanding of algorithms like linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis Understanding of data science concepts: Statistics, probability, data transformation, visualization, storytelling, deep learning Statistical and Mathematical Methods: Application of statistics and prominent statistical models Good understanding of Data & AI technologies/tools: ML Ops, ETL, data lake, graph databases, NLK, Data Optimization Location: Mumbai – Full-Time work from Office Reporting Relationship: Head – Enterprise Technology Group Business/Channel/Function: Enterprise Technology Group Key Responsibilities: Lead and build a strong data analytics and AI team over time and this should become possible organically by being able to demonstrate value Provide guidance and establish best practices and methodologies for data analytics and responsible AI initiatives. Manage and oversee stages of AI and LLM Projects, from initial assessment to implementation. Build and maintain close working relationships with the Business and Functions Process Owners to gather specific requirements and define the scope of work. Collaborate closely with internal staff, users, and third parties to ensure success. Develop and implement advanced models and algorithms to solve complex business problems. Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements. Stay updated with the latest advancements in AI and LLM technologies and apply them to enhance project outcomes Behavioural Strengths: Excellent analytical, problem-solving, and decision-making skills. Proven ability to lead and inspire teams, driving innovation and achieving results. Exceptional communication and collaboration skills, with the ability to work effectively with diverse stakeholders. Why join us? CulverMax Entertainment Pvt Ltd (Formerly known as Sony Pictures Networks India) is home to some of India’s leading entertainment channels such as SET, SAB, MAX, PAL, PIX, Sony BBC Earth, Yay!, Sony Marathi, Sony SIX, Sony TEN, SONY TEN1, SONY Ten2, SONY TEN3, SONY TEN4, to name a few! Our foray into the OTT space with one of the most promising streaming platforms, Sony LIV brings us one step closer to being a progressive digitally led content powerhouse. Our independent production venture- Studio Next has already made its mark with original content and IPs for TV and Digital Media. But our quest to Go Beyond doesn’t end there. Neither does our search to find people who can take us there. We focus on creating an inclusive and equitable workplace where we celebrate diversity with our Bring Your Own Self Philosophy. We strive to remain an ‘Employer of Choice’ and have been recognized as: India’s Best Companies to Work For 2021 by the Great Place to Work® Institute. - 100 Best Companies for Women in India by AVTAR & Seramount for years in a row - UN Women Empowerment Principles Award 2022 for Gender Responsive Marketplace and Community Engagement & Partnership ET Human Capital Awards 2023 for Excellence in HR Business Partnership & Team Building Engagement ET Future Skills Awards 2022 for Best Learning Culture in an Organization and Best D&I Learning Initiative. The biggest award of course is the thrill our employees feel when they can Tell Stories Beyond the Ordinary!

Job Description As the SON Program Manager, you will be responsible for managing all technical management activities defined in the Customer contract, encompassing quality, risk, and time, from delivery approach preparation through deployment, customer acceptance, and the care phase. Acts as the primary technical interface and the first technical escalation point within the Customer project. How You Will Contribute And What You Will Learn Lead/Delivery of SW Development projects in SON/NMS/EMS Telecom applications. Technical contact and reference person for scope-based work items. Must be able to work independently and provide proactive leadership in a complex environment with multiple teams. Manages all technical management activities defined in the work item, which involve medium to large business volumes, medium to high complexity, and medium to high risk probability, in terms of quality, risk, and time, from delivery approach preparation through deployment, customer acceptance, and care phase. Supports the Project Execution Owner in project planning and delivery acceptance.Validates the workload involved and expertise needed related to technical tasks. Leads technical activities during the execution phase, System Acceptance, Multi-Vendor Interface Verification, Fault, and Technical Escalation Management. Working together with Project management and technical staff, manages all the technical management activities defined in the Customer contract with medium to large business volume and medium to high complexity and risk probability, in terms of quality, risk, and time from delivery approach preparation through deployment Customer acceptance, and care phase. Acts as the primary technical interface and first technical escalation point within the Customer project. Ensures operational continuity and smooth execution. Key Skills And Experience You Have: Bachelor's or Master's degree in CSE/ECE/EEE/EI/IT with 12 to 15 years of Software Development Management , lead, and Software Project Delivery experience in SON/NMS/EMS Telecom applications, preferably on Multivendor OSS systems. Executive Management Interface with T1- Cusotmers, handlimng all communication, escalations & project reviews Abreast with latest technologies- AI/ML, Python Software development, Agile/SCRUM dev methodology. Lead the design and implementation of AI/ML-driven technical solutions, ensuring alignment with project goals and business needs. Focusing on data integration, model deployment, and scalability. Provide leadership and mentorship to the team on AI/ML best practices, including data preparation, model development, and optimization. Microservices integration into existing systems, ensuring seamless communication between services via APIs and event-driven architectures. It would be nice if you also had: Continuous improvements in product, process, and services. Optimization and automation of service delivery processes.Delivery of work items as per the defined scope, timelines, and processes. Release plan for work items, including technical risk assessment and incident management.Adoption of DevOps practices to ensure efficiency across all stages of delivery.Development and implementation of automation tools and reusable assets. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. About The Team In Mobile Networks , our ambition is to become the trusted partner of choice for Communications Service Providers (CSPs), as well as for non-CSP entities in sectors like utilities, transportation, public services, and defense. We strive to deliver unbeatable customer experiences in wireless connectivity.

To lead and build a strong data analytics and AI team that aims to drive the company towards becoming a data-first and data-driven organization by delivering and maintaining smart data-driven solutions crucial for growth and operations. The individual will accelerate the adoption and implementation of AI solutions to enhance efficiency, innovation, and competitive advantage. The position also involves managing all aspects of new data and AI projects from inception to delivery, as well as day-to-day operations, with a strong focus on assessing business value, ROI and reduce cost. Key Responsibilities: Lead and build a strong data analytics and AI team over time and this should become possible organically by being able to demonstrate value Provide guidance and establish best practices and methodologies for data analytics and responsible AI initiatives. Manage and oversee stages of AI and LLM Projects, from initial assessment to implementation. Build and maintain close working relationships with the Business and Functions Process Owners to gather specific requirements and define the scope of work. Collaborate closely with internal staff, users, and third parties to ensure success. Develop and implement advanced models and algorithms to solve complex business problems. Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements. Stay updated with the latest advancements in AI and LLM technologies and apply them to enhance project outcomes Preferred Skills: Programming languages: Python, R or likes Understanding of algorithms like linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis Understanding of data science concepts: Statistics, probability, data transformation, visualization, storytelling, deep learning Statistical and Mathematical Methods: Application of statistics and prominent statistical models Good understanding of Data & AI technologies/tools: ML Ops, ETL, data lake, graph databases, NLK, Data Optimization

Job Title: Data Scientist Location: Mohali Employment Type: Full-TimeAbout the RoleWe’re looking for a skilled and driven Data Scientist to join our team in Mohali. This role focuses on building and optimizing machine learning models from classical approaches to advanced neural networks for real-world applications. You’ll work with large datasets, uncover insights, and help build data products that scale.Key Responsibilities Design, develop, and evaluate supervised and unsupervised machine learning models. Collaborate with data and product teams to deliver end-to-end ML solutions. Analyze large datasets using Python and SQL to generate actionable insights. Continuously monitor and improve model performance using real-world data. Maintain thorough documentation of models, experiments, and processes.Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Strong Python programming skills (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc.). Proficiency in SQL for data exploration and manipulation. Solid understanding of core ML techniques: classification, regression, clustering, and dimensionality reduction. Experience with NLP/LLM libraries such as Hugging Face, spaCy, NLTK, or OpenAI APIs. Strong foundation in statistics, probability, and hypothesis testing.Preferred Experience with vector databases, embeddings, and fine-tuning or prompt engineering for LLMs. Familiarity with cloud services (AWS, GCP, or Azure) is a plus. Job Types: Full-time, Permanent Pay: ₹700,000.00 - ₹900,000.00 per year Benefits: Paid sick time Provident Fund Schedule: Day shift Morning shift Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data Scientist: 3 years (Required) Data science: 3 years (Required) Language: English (Required) Location: Chandigarh, Chandigarh (Required) 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 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 details IND, KA, Bangalore Solutions Architect

Job Title: Associate Data Scientist Job Summary: We are looking for a passionate and driven Associate Data Scientist to join our Emerging Tech Standard Delivery Team. This role is ideal for someone who thrives in a multifaceted environment, is eager to learn new technologies, and enjoys working across multi-functional teams to deliver enterprise-grade data solutions. You will collaborate with specialists in machine learning, database development, and front-end engineering to build scalable, intelligent systems that drive business and customer value. Key Responsibilities: Handle and process structured, semi-structured, and unstructured data using Python and other tools. Develop and deploy machine learning models and statistical algorithms to solve real-world business problems. Build automated data sourcing and extraction solutions from diverse formats (PDFs, HTML, XML, scanned documents). Perform exploratory data analysis (EDA) to uncover insights and support decision-making. Translate business needs into technical requirements and implement scalable solutions. Collaborate with data engineers, analysts, and business collaborators to deliver impactful data products. Create visualizations, dashboards, and reports to communicate findings to technical and non-technical audiences. Develop proof-of-concepts (POCs), pipeline tools, and visualizations for product design and development. Guide peers and business users on analytical tools, techniques, and standard methodologies. Maintain process documentation and support deployment of analytics solutions. Required Qualifications: Bachelor’s or master’s degree or equivalent experience in computer science, Statistics, Mathematics, or related field. Certification in Data Science or equivalent practical experience. Proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-learn. Strong SQL skills and understanding of relational databases. Experience with version control systems like Git. Solid grasp of statistics, probability, and machine learning algorithms (e.g., decision trees, random forests). Familiarity with NLP techniques (e.g., word2vec, embeddings, bag-of-words). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Exposure to REST APIs, containerization (Docker/Kubernetes), and web scraping (HTML/CSS). Preferred Skills: Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib). Understanding of prompt engineering and emerging AI technologies. Ability to work with large datasets and build scalable data pipelines. Experience in building and deploying end-to-end data science solutions in a production environment. Strong analytical thinking and problem-solving skills. Superb communication and presentation skills. Why Join Us: Work on innovative technologies and enterprise-scale solutions. Collaborate with a diverse and dedicated team of authorities. Opportunity to grow in a fast-paced, innovation-driven environment. Access to continuous learning and development resources. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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. Primary Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages 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 #niche #NJP Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry Solid understanding of experimental methodologies, statistics, optimization, and probability theory Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Proven excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Proven ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments 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.

Job Requirements Experience: 8–15 years Location: Hosur Employment Type: Full-Time Department: R&D – Vision & AI Systems Role Summary: We are looking for a highly capable Computer Vision Software Engineer with 4–7 years of experience in developing robust vision algorithms using OpenCV, Python, and custom mathematical logic. The ideal candidate must possess strong analytical thinking, object-oriented design principles, and a solid understanding of Cartesian coordinate systems. Robotics experience is a strong advantage. Key Responsibilities: Design and develop software solutions for computer vision systems using OpenCV and custom image processing algorithms. Build, optimize, and maintain deep learning models using TensorFlow/Keras for classification, detection, and segmentation. Very good at CNN. Knowing RNN is an added advantage. Implement mathematical models and custom algorithms to solve vision challenges like part localization, orientation, and defect detection. Apply strong logical reasoning to break down complex problems into efficient and scalable solutions. Collaborate closely with robotics, automation, and software teams to deploy vision algorithms in real-time systems. Contribute to software architecture and development with a focus on clean, modular, and reusable code. Work with Cartesian coordinate systems and apply kinematics understanding for vision-to-robot interaction. Work Experience Required Skills & Qualifications: 8–15 years of hands-on experience in computer vision software development. Strong expertise in OpenCV and writing custom image processing algorithms. Solid understanding of mathematics (linear algebra, geometry, probability) relevant to vision and AI. Excellent logical thinking and problem-solving ability. Proficiency in Python programming with good understanding of Object-Oriented Programming (OOPs). Experience with TensorFlow/Keras and AI workflows (data prep, training, validation, deployment). Good grasp of Cartesian coordinate systems, with kinematics knowledge (forward/inverse) preferred. Experience in robotics or working alongside robotic platforms is an added advantage. Desirable (Nice to Have): Knowledge of vision system integration in robotics applications (e.g., pick & place, inspection). Exposure to industrial automation, manufacturing, or automotive environments. Experience with source control (Git), deployment tools, and agile workflows. What We Offer: Opportunity to work on cutting-edge AI and vision technologies deployed in real-world environments. Collaborative team culture with opportunities for innovation, IP development, and growth. Hands-on involvement in both core algorithm development and system-level integration.

To lead and build a strong data analytics and AI team that aims to drive the company towards becoming a data-first and data-driven organization by delivering and maintaining smart data-driven solutions crucial for growth and operations. The individual will accelerate the adoption and implementation of AI solutions to enhance efficiency, innovation, and competitive advantage. The position also involves managing all aspects of new data and AI projects from inception to delivery, as well as day-to-day operations, with a strong focus on assessing business value, ROI and reduce cost. Responsibilities Lead and build a strong data analytics and AI team over time and this should become possible organically by being able to demonstrate value Provide guidance and establish best practices and methodologies for data analytics and responsible AI initiatives. · Manage and oversee stages of AI and LLM Projects, from initial assessment to implementation. Build and maintain close working relationships with the Business and Functions Process Owners to gather specific requirements and define the scope of work. Collaborate closely with internal staff, users, and third parties to ensure success. Develop and implement advanced models and algorithms to solve complex business problems. Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements. · Stay updated with the latest advancements in AI and LLM technologies and apply them to enhance project outcomes Behavioral Strengths: · Excellent analytical, problem-solving, and decision-making skills. · Proven ability to lead and inspire teams, driving innovation and achieving results. · Exceptional communication and collaboration skills, with the ability to work effectively with diverse stakeholders. Education: Bachelor's or Master's degree in Computer Science, Math / Quantitative Methods / Econometrics / Information Systems Experience and Proficiency : · 10+ years of overall technology experience with 8 years in data and 5 years in AI/data science Preferred Skills: · Programming languages: Python, R or likes · Understanding of algorithms like linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis · Understanding of data science concepts: Statistics, probability, data transformation, visualization, storytelling, deep learning o Statistical and Mathematical Methods: Application of statistics and prominent statistical models · Good understanding of Data & AI technologies/tools: ML Ops, ETL, data lake, graph databases, NLK, Data Optimization

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 Analyst 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

Job Title: Data Scientist Location: Mohali Employment Type: Full-TimeAbout the RoleWe’re looking for a skilled and driven Data Scientist to join our team in Mohali. This role focuses on building and optimizing machine learning models from classical approaches to advanced neural networks for real-world applications. You’ll work with large datasets, uncover insights, and help build data products that scale.Key Responsibilities Design, develop, and evaluate supervised and unsupervised machine learning models. Collaborate with data and product teams to deliver end-to-end ML solutions. Analyze large datasets using Python and SQL to generate actionable insights. Continuously monitor and improve model performance using real-world data. Maintain thorough documentation of models, experiments, and processes.Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Strong Python programming skills (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc.). Proficiency in SQL for data exploration and manipulation. Solid understanding of core ML techniques: classification, regression, clustering, and dimensionality reduction. Experience with NLP/LLM libraries such as Hugging Face, spaCy, NLTK, or OpenAI APIs. Strong foundation in statistics, probability, and hypothesis testing.Preferred Experience with vector databases, embeddings, and fine-tuning or prompt engineering for LLMs. Familiarity with cloud services (AWS, GCP, or Azure) is a plus. Job Types: Full-time, Permanent Pay: ₹700,000.00 - ₹900,000.00 per year Benefits: Paid sick time Provident Fund Schedule: Day shift Morning shift Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data Scientist: 3 years (Required) Data science: 3 years (Required) Language: English (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person

Data Scientist — Quantitative Machine Learning Location Hyderabad (preferred) — hybrid friendly. Exceptional remote candidates within India will be considered. About InvestorAi InvestorAi is an AI-first fintech that transforms vast, noisy market data into real-time, alpha-generating insights for global investors. Our proprietary “spatial-ordering” pipelines, genetic-algorithm search, and deep-learning mixture-of-experts have delivered a 45 % CAGR while remaining lean and profitable. With new capital and an ambitious roadmap, we’re scaling research and production deployment of models that trade live capital every day. Our Al algorithms have been trained and developed by our expert tam at Bridgeweave Labs using 14 years of stock market data. We perform over 35 million computations using sophisticated AI techniques like Computer Vision, Convolutional Neural Networks, Genetic Algorithms etc. to produce the best possible investment ideas. We have over 2 years of track record of producing exceptional results and outlier win rates for our investors. Why this role matters Model ownership, end-to-end: You’ll design, train, validate, and deploy production-grade models that directly drive portfolio decisions and P&L. Cutting-edge R&D: Work on entropy-based initializers, hybrid CNN/Transformer architectures, and Optuna-driven hyper-parameter searches—ideas that rarely escape academia. Massive impact: A single improvement in signal quality or latency can unlock millions in incremental alpha. Key Responsibilities Area What You’ll Own Research & Signal Discovery Ideate and prototype novel features from tick-level, fundamental, and alternative data; explore quantum-inspired ordering, autoencoders, time-series augmentations. Model Development Build, iterate, and benchmark CNNs, Transformers, GNNs, and Mixture-of-Experts using TensorFlow/PyTorch ; run large-scale Optuna sweeps on our GPU cluster. Deployment & MLOps Package models as Docker images, publish to our Kubernetes-based inference platform, and write CI/CD tests to ensure reproducible builds and seamless rollbacks. Performance Monitoring Create dashboards for live AUC-ROC, precision-recall, drawdown, beta, and slippage; set alert thresholds and conduct post-mortems when KPIs drift. Cross-functional Collaboration Partner with quant researchers, portfolio managers, and full-stack engineers to push models from Jupyter notebooks into live trading strategies. Documentation & Knowledge Sharing Draft technical memos, run code-reviews, and mentor junior analysts on best practices in robust ML for finance. Must-Have Qualifications 3 – 6 years building and shipping ML models in production (preferably finance, ad-tech, or other latency-sensitive domains). Expert-level Python plus strong grasp of TensorFlow or PyTorch ; comfortable profiling GPU memory and optimizing kernels. Proven experience with model deployment (Docker, Kubernetes, CI/CD, feature stores, model registries). Solid understanding of statistics, probability, and time-series analysis; able to articulate bias-variance trade-offs and back-test pitfalls. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; a Master’s degree is preferred. Hands-on with SQL and at least one distributed data tool (Spark, Dask, or Ray). Clear, concise communicator—capable of translating technical findings into investor-friendly language. Nice-to-Have Extras Familiarity with trading venues, order-book dynamics, and transaction-cost analysis. Contributions to open-source ML libraries or finance-related GitHub projects. Experience with Optuna, genetic algorithms, or Bayesian optimization frameworks. Knowledge of Von Neumann entropy, quantum-inspired computing, or information-theoretic model selection. Comfort working in a start-up-style, high-ownership culture (you build it, you run it) What We Offer Work with best brains in Data Science and cutting edge modelling to solve complex finance problems Competitive salary + performance bonus tied to desk P&L. ESOP after probation. Comprehensive health insurance (self & family). Annual professional-development budget (courses, conferences, journals). 18 days paid vacation + flexible wellness leave.  How to Apply 1.Email Smriti5991@gmail.com with subject line “Data Scientist — Your Name”. 2.Attach your CV (≤ 2 pages) and link to a GitHub repo or notebook showcasing a project you took all the way to deployment . 3.Short-listed candidates complete a programming test (feature engineering, model training, deployment script) followed by two technical interviews and a culture chat with the founders. We hire for curiosity, rigor, and ownership. If you’re excited by the idea of shipping ML that lives (and profits) in the wild, we’d love to meet you.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area As a quant professional, you will develop quantitative models across various asset classes including Rates, FX, Equities, Commodities, XVAs, and Credit. These models play a crucial role in calibrations, stressed valuations, quantifying model limitations, and other adjustments. They are primarily used for Independent Price Verification and fair value adjustments to ensure accurate recording of the firm's assets and liabilities. You are expected to work independently and lead the Quantitative Research agendas with multiple stakeholders such as Trading, Control Functions, IT, and Model Validation. Your responsibilities will include building analytics to calculate fair value and limitation adjustments, calibrating model parameters, and analyzing price dynamics of actual transactions in real-time against independent prices. You will also be involved in programming tasks, problem analysis, solution determination, code design, integration testing, and documentation. Collaboration with Model Risk Governance and Model Validation teams for model reviews and testing will be a key aspect of your role. You should be able to understand risks and issues associated with pricing models, develop model risk mitigation strategies, and provide quantitative analysis on ad hoc queries from stakeholders. Additionally, you will work with the Valuation Control Group to devise sophisticated methodologies for solving business problems within regulatory frameworks. The ideal candidate should be proficient in Mathematics, including stochastic calculus, probability, and statistics. Hands-on experience in programming, particularly Python, is required, while knowledge of C++ is advantageous. Practical experience in developing pricing models or enhancing existing quant models is preferred. Attention to detail, high-quality standards, and excellent verbal and written communication skills are essential. Previous experience of at least 2-3 years in similar roles in Quantitative Research and Model Development will be advantageous. Strong team skills in a multi-location setup are also necessary for this role.,

JOB_POSTING-3-72293-4 Job Description Role Title : AVP, Marketing technology audience analyst (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: The Performance Marketing Team is the engine behind business growth as it handles the majority of marketing activities. This includes targeting the right audience through campaigns, distributing content via channel marketing, conducting a thorough analysis of campaign launches and budgets, and also ensuring compliance via surveillance and governance all to maximize results and maintain a competitive edge. Together this team drives ROI and elevates Synchrony's brand presence in a dynamic market. Role Summary Synchrony is continuing to build a world class Performance Marketing Organization committed to driving results with our retail and payments partners while also delivering leading customer experiences. The AVP, Audience Analyst will be responsible for mining and analyzing digital audience performance, delivering insights centered on audience strategies and persona development and developing digital audiences. Additionally, this role will excel in the understanding, building and tracking of audiences in various platforms and develop best practices for audience governance as well as support the broader audience strategy development. Key Responsibilities Perform and deliver audience analyses using multiple internal and external data sources and develop insights which will optimize current audience campaigns and direct future campaign strategies and activities. Create data personas and consult with marketing partners to drive the understanding of trends and audience opportunities Partner with cross functional teams to identify key audiences and assist in the collection of data for audience insight Build audiences, managing the workflow from onboarding of CRM data, the anonymization process, to pushing audience segments to destinations for programmatic and personalization campaigns Develop partnership with cross functional teams, establishing a strong communicative and collaborative atmosphere, to understand their business needs and goals and ultimately deliver processes and opportunities Perform other duties and/or special projects as assigned Qualifications/Requirements Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain 5+ years’ experience working in enterprise-level data sciences, analytics and/or customer intelligence, including: 3+ years of professional digital marketing experience, working directly within Digital Platforms (ex. CDP, DMP, DV360, Google Analytics, Adobe Analytics, Neustar, LiveRamp, Dynamic Yield, Optimizely, Adobe Audience Manager, Salesforce, etc) Desired Characteristics Proven experience executing analyses with massive data sets, complex data structures and multi-variate campaign strategies. Expert proficiency with leading-edge data mining techniques with analytic programming languages including Python, SQL, Java, SAS and others Leadership experience working with cross-functional partners (i.e., Media, Client Marketing, IT, Enterprise Operations) to deliver against mutual goals and ensure alignment of priorities and requirements. Working knowledge of analytic platforms and tools such as Hadoop, R, Hive as well as BI tools such as Tableau Operational understanding in areas such as probability and statistics; familiarity with machine learning and artificial intelligence a plus. Experience with compiling and analyzing data from paid media and digital marketing campaigns to report out actionable results Ability to provide wing-to-wing analytic activities data aggregation, analysis preparation, data interpretation and presenting strategic recommendations to client/product teams Expert proficiency with leading-edge data mining techniques and analytic platforms (including but not limited to Python and R) to feed a strong data management foundation Creative thinker with successful history of synthesizing insights to inform business decisions and lead strategic discussions; providing innovative thought leadership and developing actionable outcomes with tangible results Highly motivated, assertive self-starter with the ability to work autonomously or as a strong team participant Experience in Agile methodologies and processes a plus Experience with consumer financial services organizations, preferably with exposure to credit card marketing or retail marketing, consumer protection, privacy and related laws and policies. Eligibility Criteria Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain Work Timings: 2:00 PM to 11:00 PM IST For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L8+ Employees can apply Level / Grade - 10 Job Family Group Marketing

Job Description What We Do Goldman Sachs’ Strats business unit is a world leader in developing quantitative models and technologies to solve complex business problems. Resource Management Strats sits within the firm’s Global Markets Division and works directly with sales and trading desks to provide commercial solutions in a wide range of areas. Your Impact As a Strat on the Resource Management desk, you’ll work across four main areas. First, working with our GMD Capital Management team and every business across the Division to optimize our capital footprint in light of industry regulation. Second, partnering with our GMD Counterparty Risk Management team to develop models for trading with our clients that ensure prudential thought in client exposures. Third, in conjunction with our GMD Liquidity Management and GMD Cross Asset Funding teams, you’ll build models that will allow us to optimize our collateral and margin deployments for maximum efficiency and returns. Fourth, partnering across business, engineering and operations to drive BCE (brokerage, clearance, exchange) cost optimization across the Division. Specifically, Margin including CCR (Counterparty Credit Risk) and SIMM, is a significant area of focus for the firm and regulators. In 2022/23, we made significant enhancements that improved our counterparty credit risk measurement and monitoring capabilities, including the implementation of the CCR Monitor (a first line-of-defense repository to ensure comprehensive and timely risk identification) with full integration into supervisory infrastructure and the development of new stress test methodologies and shortfall calculation at the counterparty-level. The firm continued to invest in CCR uplift, improving data quality, ensuring sustainability, and enhancing infrastructure. In 2024, the firm will continue to focus on Margin as a broader topic. Who We Are 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 our Technology Division and global Strategists groups, 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. Responsibilities As a member of this team, you will be expected to have an understanding of all the products and derivatives the Global Markets business trades. You will work on developing large scale systems, building risk, capital and optimization models, and creating data driven prediction models optimization. You will be working directly with traders on building tools enabling them to price trades more precisely and optimize resources. Who We Look For An ideal candidate would have strong quantitative and technical problem solving skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions. Basic Qualifications Strong academic background in a relevant STEM field (Computer Science, Engineering, Physics or Mathematics) Strong analytical and programming skills (Java, C++, Python) Strong interpersonal/communication skills Ability to focus both on details and on the big picture, as requested Ability to work in a dynamic and fast- paced environment and deliver accurate results quickly Ability to solve problems and to explain underlying ideas Preferred Qualifications Knowledge and understanding of financial markets, financial modeling, a quantitative understanding of probability About Goldman Sachs 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., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Description year Of exp- 6 to 10 Years Location- Noida, Pune, Bangalore, Nagpur Requirements Job Requirements: 6+ years of experience in a Data Scientist role Strong analytic skills related to working with unstructured datasets. Strong understanding of statistical methods and hypothesis testing. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Experience supporting and working with cross-functional teams in a dynamic environment. Required Skills: Programming Languages: Proficiency in Python API / Framework: Hands-on experience with PySpark Data Manipulation: Strong experience with libraries like pandas, NumPy, dplyr, etc. Machine Learning: Hands-on experience with ML algorithms (regression, classification, clustering, etc.) Machine learning Models: Experience developing and tuning machine learning models such as Random Forest, Support Vector Machines (SVM), Natural Language Processing (NLP) techniques Cloud: Hands-on experience with AWS services for data science and ML, including S3 and EC2 Orchestration tool: Experience with orchestration tools like Luigi to manage data pipelines or ML workflows. Statistical Analysis: Solid foundation in probability, statistics, hypothesis testing, and experimental design (e.g., A/B testing). Data Visualization: Experience with visualization tools such Tableau, or Power BI. SQL & Databases: Ability to write complex SQL queries; familiarity with relational databases (PostgreSQL, MySQL, etc.). CICD: Experience with CI/CD practices and tools (GitHub) for automating data workflows and model deployments. Other Tool: Proficient in Microsoft Excel for exploratory data analysis, reporting, and data validation. Soft Skills: – Strong problem-solving and critical thinking abilities. – Excellent communication skills to explain technical concepts to non-technical stakeholders. – Ability to work independently and collaboratively in a fast-paced, agile environment. – Detail-oriented, with a focus on data quality and accuracy. Good To have: Domain Knowledge. Job responsibilities Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver solutions. Monitor model performance and retrain as needed to ensure accuracy and reliability. Collect, clean, and preprocess large datasets from various sources. Develop statistical models and machine learning algorithms to solve business problems. Stay updated with the latest industry trends, tools, and technologies. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Please mention subject line “Machine Learning Engineer - ESLNK59” while applying to hr@evoortsolutions.com Job Title: Machine Learning Engineer Location: Remote | Full-Time Experience: 4+ years Job Summary We are seeking a highly skilled and self-motivated Machine Learning Engineer / Senior Machine Learning Engineer to join our fast-growing AI/ML startup. You will be responsible for designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. This role demands a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Key Responsibilities Design and develop machine learning and deep learning algorithms in collaboration with cross-functional teams, including data scientists and business stakeholders. Translate complex client problems into mathematical models and identify the most suitable AI/ML approach. Build data pipelines and automated classification systems using advanced ML/AI models. Conduct data mining and apply supervised/unsupervised learning to extract meaningful insights. Perform Exploratory Data Analysis (EDA), hypothesis generation, and pattern recognition from structured and unstructured datasets. Develop and implement Natural Language Processing (NLP) techniques for sentiment analysis, text classification, entity recognition, etc. Extend and customize ML libraries/frameworks like PyTorch, TensorFlow, and Scikit-learn. Visualize and communicate analytical findings using tools such as Tableau, Matplotlib, ggplot, etc. Develop and integrate APIs to deploy ML solutions on cloud-based platforms (AWS, Azure, GCP). Provide technical documentation and support for product development, business proposals, and client presentations. Stay updated with the latest trends in AI/ML and contribute to innovation-driven projects. Required Skills & Qualifications Education: B.Tech/BE or M.Tech/MS in Computer Science, Computer Engineering, or related field. Solid understanding of data structures, algorithms, probability, and statistical methods. Proficiency in Python, R, or Java for building ML models. Hands-on experience with ML/DL frameworks such as PyTorch, Keras, TensorFlow, and libraries like Scikit-learn, SpaCy, NLTK, etc. Experience with cloud services (PaaS/SaaS), RESTful APIs, and microservices architecture. Strong grasp of NLP, predictive analytics, and deep learning algorithms. Familiarity with big data technologies like Hadoop, Spark, Hive, Kafka, and NoSQL databases is a plus. Expertise in building and deploying scalable AI/ML models in production environments. Ability to work independently in an agile team setup and handle multiple priorities simultaneously. Exceptional analytical, problem-solving, and communication skills. Strong portfolio or examples of applied ML use cases in real-world applications. Why Join Us? Opportunity to work at the forefront of AI innovation and solve real-world challenges. Be part of a lean, fast-paced, and high-impact team driving AI solutions across industries. Flexible remote working culture with autonomy and ownership. Competitive compensation, growth opportunities, and access to cutting-edge technology. Embrace our culture of Learning, Engaging, Achieving, and Pioneering (LEAP) in every project you touch.

JOB DESCRIPTION Your seniority as a security engineer puts you in the ranks of the top talent in your field. Play a critical role at one of the world's most iconic financial institutions where security is vital. As a Security Engineer III at JPMorgan Chase within the Cyber Security and Technology Controls, you will be an experienced member of a team dedicated to developing software solutions that meet established functional and user requirements while ensuring protection against misuse, circumvention, and malicious activities. You will implement essential technology solutions using tamper-proof, audit-defensible methods across diverse technical domains within various business functions, all in support of the firm's business objectives. Job responsibilities Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners) Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Applies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize the probability and impact of threats when determining specific vulnerabilities Leads delivery of continuity-related awareness, training, educational activities, and exercises Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on security engineering concepts and 3+ years applied experience. Hands on experience in React, Java\J2EE, Microservices, Spring, Database knowledge, Spring Data JPA, CI\CD, Designing features, Production issue debugging and fixing Experience developing security engineering solutions Proficient in coding in one of more languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, application resiliency, and security Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Familiar with Camunda 8, Database modelling, Performance tuning & Cloud 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.

Job Title: Assistant/Associate Professor – Engineering Mathematics Department: Applied Science Institution: SR Group of Institutions, Jhansi Location: Jhansi, Uttar Pradesh Job Type: Full-Time Experience: 2 years minimum. Educational Qualification: M.Sc. in Mathematics (preferably with NET/GATE/Ph.D.) Job Summary: The Department of Applied Science at SR Group of Institutions, Jhansi is seeking dynamic and passionate individuals for the position of Faculty in Engineering Mathematics. The ideal candidate will be responsible for delivering high-quality instruction in Engineering Mathematics to undergraduate students of various engineering disciplines, actively engaging in academic development, and contributing to institutional growth. Key Responsibilities: Deliver lectures and tutorials in Engineering Mathematics to B.Tech students across various branches. Design, prepare, and develop instructional materials such as syllabus, lesson plans, and question banks. Evaluate student performance through assignments, examinations, and other assessment methods. Mentor students for academic and career guidance. Contribute to curriculum development and revision aligned with AICTE and university standards. Participate in departmental meetings, academic planning, and other institutional activities. Engage in scholarly research, publications, and attend faculty development programs. Collaborate with colleagues across departments to promote interdisciplinary learning. Maintain records of students’ academic progress and attendance. Support and participate in co-curricular and extracurricular activities organized by the department and institution. Desired Candidate Profile: Strong subject knowledge in Engineering Mathematics, Differential Equations, Linear Algebra, Probability, and Statistics. Excellent communication and classroom management skills. Proficiency in using ICT tools and online platforms for teaching. Commitment to academic excellence and continuous learning. Ability to work in a team and contribute to the academic community. Why Join Us? Opportunity to work in a multidisciplinary academic environment. Supportive faculty team and research culture. Scope for career advancement and professional development. Access to modern teaching infrastructure and resources. Interested candidates are encouraged to send their CV along with a cover letter to: hr@srgi.ac.in Job Type: Full-time Pay: ₹15,949.63 - ₹30,167.10 per month Schedule: Day shift Work Location: In person

Type: Full-time / Freelance Experience: 1-3 years minimum in equity/derivatives trading or research. We are looking for high-conviction, research-backed traders and analysts who can generate and short-to-medium term stock and options trade ideas for DailyTrades.in. You will be responsible for identifying alpha-generating opportunities, providing clear entry/exit plans, and tracking trade outcomes. Responsibilities: Scan markets daily to identify high-probability trades in equities and derivatives generate trade ideas with: Entry range Target price Time horizon (1–3 months typically) Risk parameters (stop loss if any) Track live P&L of recommendations Share rationale for each trade using charts, news, or fundamentals Work with our product and compliance team to publish trades on the platform Preferred Expertise: Strong understanding of technical indicators: EMA, RSI, chart patterns Fundamental analysis (for swing trades) Options trading strategies: spreads, directional bets and headge . Job Types: Full-time, Permanent, Freelance Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Paid sick time Paid time off Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person