1136 Probability Jobs - Page 3

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

Are you passionate about solving logical problems and working through challenging physics? Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support. Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required : at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type : Contractor assignment/freelancer (no medical/paid leave) Duration of contract : 1 month; [expected start date is next week] Selection Process : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

About BNP Paribas Group BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking & Services) and Corporate & Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate & Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region. About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions. About Business Line/Function GM Data & AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai. Job Title Data Scientist (Tabular & Text) Date Department: Front Office Support Location: Mumbai Business Line / Function Global Markets – Data & AI Lab Reports To (Direct) Grade (if applicable) (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose Your work will span across multiple areas, including predictive modelling, automation and process optimization. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities Develop and maintain AI models from inception to deployment, including data collection, analysis, feature engineering, model development, evaluation, and monitoring. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. Working with expert colleagues and business representatives to examine the results and keep models grounded in reality. Documenting each step of the development and informing decision makers by presenting them options and results. Ensure the integrity and security of data. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies Qualifications: Bachelors / Master / PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. Proven track record of building AI model from scratch or finetuning on large models for Tabular or/and Textual data. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, transformers, langchain). Ability to write clear and concise code in python. Intellectually curious and willing to learn challenging concepts daily. Knowledge of current Machine Learning/Artificial Intelligence literature. Skills Referential Behavioural Skills: Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills Analytical Ability Education Level Bachelor Degree or equivalent Experience Level At least 1 year

About BNP Paribas Group BNP Paribas is a top-ranking bank in Europe with an international profile. It operates in 71 countries and has almost 199 000 employees . The Group ranks highly in its three core areas of activity: Domestic Markets and International Financial Services (whose retail banking networks and financial services are grouped together under Retail Banking & Services) and Corporate & Institutional Banking, centred on corporate and institutional clients. The Group helps all of its clients (retail, associations, businesses, SMEs, large corporates and institutional) to implement their projects by providing them with services in financing, investment, savings and protection. In its Corporate & Institutional Banking and International Financial Services activities, BNP Paribas enjoys leading positions in Europe, a strong presence in the Americas and has a solid and fast-growing network in the Asia/Pacific region. About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, a leading bank in Europe with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 6000 employees, to provide support and develop best-in-class solutions. About Business Line/Function GM Data & AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai. Job Title Data Scientist (Quant Research) Date Department: Front Office Support Location: Mumbai Business Line / Function Global Markets – Data & AI Lab Reports To (Direct) Grade (if applicable) (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakeholders to discuss project requirements/updates, and brainstorming/debugging with colleagues on various technical aspects. At the Lab, we're passionate about staying at the forefront of AI research, bridging the gap between research & industry to drive innovation and to make a real impact on our businesses. Responsibilities Develop and maintain AI models on time series & financial date for predictive modelling, including data collection, analysis, feature engineering, model development, evaluation, backtesting and monitoring. Identify areas for model improvement through independent research and analysis, and develop recommendations for updates and enhancements. Working with expert colleagues, Quant and business representatives to examine the results and keep models grounded in reality. Documenting each step of the development and informing decision makers by presenting them options and results. Ensure the integrity and security of data. Provide support for production models delivered by the Mumbai team but potentially as well for other models to any of the Asian/EU/US time zones. Technical & Behavioral Competencies Bachelor’s or Master’s degree in a numeric subject with understanding of economics and markets (eg.: Economics with a speciality in Econometrics, Finance, Computer Science, Applied Maths, Engineering, Physics) Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning, Probability Theory and Linear Algebra. Knowledge of Monte Carlo Simulations, Bayesian modelling & Causal Inference. Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions. Proven track record of building AI models on time-series & financial data. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, PyMC, statsmodels). Ability to write clear and concise code in python. Intellectually curious and willing to learn challenging concepts daily. Skills Referential Behavioural Skills: Ability to collaborate / Teamwork Critical thinking Communication skills - oral & written Attention to detail / rigor Transversal Skills Analytical Ability Education Level Bachelor Degree or equivalent Experience Level At least 2 years

Position Overview: We are seeking a talented and creative Content Writer to join our Winny immigration company. The successful candidate will play a critical role in developing, writing, and editing content that helps potential clients understand our immigration services. You will also be responsible for writing and reviewing visa letters, ensuring clarity, accuracy, and compliance with legal and visa requirements. About Company: Winny Immigration and Education Services Ltd. is an established company with expertise in several verticals of travel, visas , immigration, international education, career counselling and coaching. Winny, as it is popularly known, has consistently been delivering quality and reliable services for the past 43+ years. Trust, strong work ethics, professionalism, and commitment are the main pillars of our organization. Website: https://winnyimmigration.com/ Roles & Responsibilities: Content Writing & Research: Ø Create personalized and professional resumes, visa letters, and support documents. Ø Draft clear, logical case representations that align with visa requirements and client objectives. Ø Ensure all written materials meet quality, accuracy, and compliance standards. Client Profiling & Advisory: Ø Assess client backgrounds to identify suitable visa categories and career opportunities. Ø Analyze client goals and recommend tailored pathways with a high probability of visa approval. Ø Offer strategic suggestions aligned with immigration rules and career alignment. Visa Process Management: Ø Manage and coordinate the end-to-end visa process for employment-related visas across various countries. Ø Liaise with clients for documentation, follow-ups, and clarification on requirements. Ø Keep up-to-date with visa regulations and documentation standards for multiple destinations Client Communication & Coordination: Ø Serve as the primary point of contact for clients throughout their visa journey. Ø Maintain clear, professional communication and ensure timely updates. Ø Collaborate with internal teams to ensure a seamless client experience. Required Skills Ø Knowledge of AI tools and Prompts Ø Content Writing & Editing Expertise Ø Immigration Knowledge & Compliance Ø Research Skills Ø Adaptability & Problem-Solving Ø Team Player Ø Ability to understand and communicate Ø MS Office Why Join Winny? Ø Prestigious Brand: Be part of a legacy spanning four decades, trusted by millions. Ø Impactful Role: Play a pivotal part in our ambitious growth journey. Ø Innovative Environment: Work with cutting-edge technology, including proprietary CRM systems and mobile applications designed for seamless service delivery. Ø Ethical Work Culture: Thrive in an organization that values integrity, teamwork, and operational excellence. Ø Leadership Opportunities: Develop your career in a leadership role where your expertise will shape the future of the region’s business. Ø Accelerated Growth Trajectory: Join an organization poised for exponential growth, offering unparalleled opportunities to contribute, innovate, and thrive as we scale new heights. Ø Flexible and Open Culture: Experience a supportive and transparent work environment that encourages creativity, collaboration, and work-life balance.

Job Summary Job Title: AI/ML Engineer Location: TechM Blr ECITY Years of Experience: 10+ Years Job Summary Chevron invites applications for the role of AI/ML Engineer within our Enterprise AI team in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. We are looking for a Machine Learning Engineer with the ability to bring their expertise, innovative attitude, and excitement for solving complex problems with modern technologies and approaches. We seek individuals with a passion for exploring, innovating, and delivering innovative Data Science solutions that provide immense value to our business. Responsibilities Design and develop AI/ML models to enhance business processes and deliver actionable insights. Implement machine learning frameworks and libraries, ensuring robust model performance and scalability. Collaborate with cross functional teams to integrate AI solutions into existing workflows. Manage the lifecycle of machine learning models, including training, validation, deployment, and monitoring. Develop and maintain custom APIs for machine learning models to facilitate training and inference. Utilize Azure services to build and deploy machine learning pipelines effectively. Engage with technical experts to identify opportunities for applying machine learning and analytics. Communicate findings and insights clearly to stakeholders at all levels. Mandatory Skills Minimum 5 years of experience in Object Oriented Programming in Python. Proven experience with Azure IaaS services, particularly in building machine learning pipelines using Azure Machine Learning and/or Fabric. Strong understanding of software engineering principles, including source control, architecture, and testing methodologies. Experience with containers and container management (Docker, Kubernetes). Proficient in orchestrating large scale ML/DL jobs and leveraging Modern Data Platform tooling. Experience in designing custom APIs for machine learning models. Knowledge of mathematics (linear algebra, probability, Statistics) and algorithms. Ability to communicate effectively in both oral and written forms. Preferred Skills Experience implementing machine learning frameworks such as MLflow. Familiarity with Data Engineering and transformation tools like Azure Databricks, Spark, and Azure ADF. History of working with large scale model optimization and Neural Networks Hyper Parameter Tuning. Experience with unstructured data using Azure Cognitive Services and/or Computer Vision. Understanding of enterprise SaaS complexities, including security, scalability, and production support. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7 10 years of relevant experience in AI/ML engineering. Strong problem solving skills and a methodical approach to software design and development.

Description / Position Overview This is a key position for our client to help create data-driven technology solutions that will position us as the industry leader in healthcare, financial, and clinical administration. This hands-on Lead Data Scientist role will focus on building and implementing machine learning models and predictive analytics solutions that will drive the new wave of AI-powered innovation in healthcare. You will be the lead data science technologist responsible for developing and implementing a multitude of ML/AI products from concept to production, helping us gain a competitive advantage in the market. Alongside our Director of Data Science, you will work at the intersection of healthcare, finance, and cutting-edge data science to solve some of the industry's most complex challenges. This is a greenfield opportunity within VHT’s Product Transformation division, where you'll build groundbreaking machine learning capabilities from the ground up. You'll have the chance to shape the future of VHT’s data science & analytics foundation while working with cutting-edge tools and methodologies in a collaborative, innovation-driven environment. Key Responsibilities As the Lead Data Scientist, your role will require you to work closely with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors. Your machine learning projects will span the entire healthcare revenue cycle - from clinical encounters through financial transaction completion, extending into back-office operations and payer interactions. You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: • Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood • Claim Denials Prediction - identifying high-risk claims before submission • Payment Amount Prediction - forecasting expected reimbursement amounts • Cash Flow Forecasting - predicting revenue timing and patterns • Patient-Related Models - enhancing patient financial experience and outcomes • Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment • Cloud Platform : AWS (SageMaker, S3, Redshift, EC2) • Development Tools : Jupyter Notebooks, Git, Docker • Programming : Python, SQL, R (optional) • ML/AI Stack : Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow • Data Processing : Spark, Pandas, NumPy • Visualization : Matplotlib, Seaborn, Plotly, Tableau Required Qualifications • Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field • 5+ years of hands-on data science experience with a proven track record of deploying ML models to production • Expert-level proficiency in SQL and Python , with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) • Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) • Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques • Experience with model deployment, monitoring, and MLOps practices • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications • US Healthcare industry experience , particularly in Health Insurance and/or Medical Revenue Cycle Management • Experience with healthcare data standards (HL7, FHIR, X12 EDI) • Knowledge of healthcare regulations (HIPAA, compliance requirements) • Experience with deep learning frameworks (TensorFlow, PyTorch) • Familiarity with real-time streaming data processing • Previous leadership or mentoring experience

As a member of the Optum Global Analytics Team at United Health Group, you will be involved in developing advanced analytics solutions across various verticals to enhance health outcomes and drive business growth. Your work will directly impact health equity on a global scale by connecting individuals with the care, pharmacy benefits, data, and resources necessary for improved well-being. Your primary responsibilities will include designing and deploying models, ensuring responsible use of AI, detecting and mitigating bias, conducting business analysis, creating analytical findings, engaging in client communications, mentoring junior data scientists, leading knowledge sharing sessions, overseeing technical deliveries, performing quality checks, collaborating with senior team members to develop new capabilities, and continuously building and applying technical and functional skills. To excel in this role, you must possess a bachelor's degree and have at least 7 years of experience in analytics and machine learning projects within the Business Intelligence or Business Analysis space. Proficiency in analytics tools such as R, Python, SQL, Databricks, and cloud technologies is essential. Additionally, you should have a strong understanding of Predictive & Prescriptive Analytics techniques, problem-solving skills, statistics, mathematics, data technologies, data structures, Natural Language Processing, Gen-AI, Large Language Models, and excellent communication abilities. Preferred qualifications include certification in Azure Cloud (AZ-900), familiarity with Business Intelligence tools like Tableau/Power BI, and exceptional time management, communication, decision-making, and presentation skills. If you are passionate about driving impactful solutions, possess a problem-solving approach, and are committed to continuous learning and growth, we welcome you to apply for this position at our Noida, Uttar Pradesh location. Join us in making a difference in the lives of millions as we strive to advance healthcare and well-being globally through innovative analytics solutions.,

As the Lead Data Science Expert (ML/AI/Data Science) at Egnify, you will play a crucial role in uncovering valuable insights from large volumes of data sourced from various internal and external outlets. Your expertise will be instrumental in making informed decisions that contribute to the enhancement of our products and services. Your key responsibilities will include: - Demonstrating a comprehensive understanding of the business challenges at hand. - Driving data analysis and developing models that directly impact our operational efficiency. - Collaborating with professionals from diverse scientific, engineering, and business backgrounds. - Partnering with engineers to implement and monitor the performance of data-driven recommendations, proofs-of-concept, and models. - Employing machine learning techniques to select features, optimize classifiers, and build predictive systems of high quality. - Conducting data mining using cutting-edge methodologies. - Extracting insights from authentic and publicly available sources to enrich data science initiatives and address data-related challenges. - Processing, cleansing, and validating data integrity for analytical purposes. - Performing ad-hoc analyses and presenting findings in a clear and concise manner. - Developing automated anomaly detection systems and continuously evaluating their efficacy. Qualifications: - B.Tech / M.Tech / PhD in Computer Science from prestigious institutions such as IITs or IISc, with a preference for leading engineering schools. - A minimum of 6 years of overall experience, including 2-3 years of demonstrable expertise in ML/AI/Data Sciences. - Proficiency in Data and Web Data Analytics. - Experience in utilizing machine vision, data mining, or machine learning to address real-world challenges with extensive image and/or video datasets. - Proficient in Python (e.g., pandas, numpy, scikit) or equivalent scripting languages. - Familiarity with R, Matlab, or other statistical tools. - Hands-on experience with deep learning frameworks like PyTorch, Tensorflow, Keras, etc. - Strong grasp of statistics, algebra, probability, and mathematical optimization. - Interest in leveraging scientific approaches to tackle educational issues on a large scale. - Excellent communication and collaboration skills to engage effectively with individuals from diverse technical backgrounds. - Possession of patents and/or technical publications is advantageous. - Prior experience in the Ed-Tech sector is desirable. In conclusion, at Egnify, we value a culture that fosters organizational success and individual satisfaction. Upholding principles such as thinking big, solving challenging problems, focusing on experiences, promoting accountability, nurturing talent, embracing failure as a means of growth, and ensuring an enjoyable work environment are key aspects of our ethos.,

The job requires you to have a B.Tech/Integrated M.E/ B.E educational qualification. As an AI Engineer, you should have the ability to write code in Python and possess knowledge of math and probability basics. You must also have a strong understanding of algorithms, statistics, data modeling, software architecture, and data structures. Your role as an Artificial Intelligence developer involves using algorithms and neural networks to create practical business solutions. Your main responsibility will be to design, develop, enhance, and implement AI solutions. You will be expected to set up and manage our AI development, build AI models from scratch, and help product managers and stakeholders understand the results. It is essential to stay updated on the latest AI research relevant to our business domain.,

Job Title: AI Research Engineer Intern (Fresher) Reporting to: Lead – Research & Innovation Lab Location: remote/ Hybrid (Chennai, India) Engagement: 6-month, full-time paid internship with pre-placement-offer track 1. Why this role exists Stratsyn AI Technology Services is turbo-charging Stratsyn’s cloud-native Enterprise Intelligence & Management Suite —a modular SaaS ecosystem that fuses advanced AI, low-code automation, multimodal search, and next-generation “Virtual workforce” agents. The platform unifies strategic planning, document intelligence, workflow orchestration, and real-time analytics, empowering C-suite leaders to simulate scenarios, orchestrate execution, and convert insight into action with unmatched speed and scalability. To keep pushing that frontier, we need sharp, curious minds who can translate cutting-edge research into production-grade capabilities for this suite. This internship is our talent-funnel into future Research Engineer and Product Scientist roles. 2. What you’ll do (core responsibilities) % FocusKey Responsibility 30 %Rapid Prototyping & Experimentation – implement state-of-the-art papers (LLMs, graph learning, causal inference, agents), design ablation studies, benchmark against baselines, and iterate fast. 25 %Data Engineering for Research – build reproducible datasets, craft synthetic data when needed, automate ETL pipelines, and enforce experiment tracking (MLflow / Weights & Biases). 20 %Model Evaluation & Explainability – create evaluation harnesses (BLEU, ROUGE, MAPE, custom KPIs), visualize error landscapes, and generate executive-ready insights. 15 %Collaboration & Documentation – author tech memos, well-annotated notebooks, and contribute to internal knowledge bases; present findings in weekly research stand-ups. 10 %Innovation Scouting – scan arXiv, ACL, NeurIPS, ICML, and startup ecosystems; summarize high-impact research and propose areas for IP creation within the Suite. 3. What you will learn / outcomes to achieve Master the end-to-end research workflow: literature review → hypothesis → prototype → validation → deployment shadow. Deliver one peer-review-quality technical report and two production-grade proof-of-concepts for the Suite. Achieve a measurable impact (e.g., 8-10 % forecasting-accuracy lift or 30 % latency reduction) on a live micro-service. 4. Minimum qualifications (freshers welcome) B.E./B.Tech/M.Sc./M.Tech in CS, Data Science, Statistics, EE, or related (2024-2026 pass-out). Fluency in Python and at least one deep-learning framework (PyTorch preferred). Solid grasp of linear algebra, probability, optimization, and algorithms. Hands-on academic or personal projects in NLP, CV, time-series, or RL (GitHub links highly valued). 5. Preferred extras Publications or Kaggle/ML-competition record. Experience with distributed training (GPU clusters, Ray, Lightning) and experiment-tracking tools. Familiarity with MLOps (Docker, CI/CD, Kubernetes) or data-centric AI. Domain knowledge in supply-chain, fintech, climate, or marketing analytics. 6. Key attributes & soft skills First-principles thinker – questions assumptions, proposes novel solutions. Bias for action – prototypes in hours, not weeks; embraces agile experimentation. Storytelling ability – explains complex models in clear, executive-friendly language. Ownership mentality – treats the prototype as a product, not just a demo. 7. Tech stack you’ll touch Python | PyTorch | Hugging Face | TensorRT | LangChain | Neo4j/GraphDB | PostgreSQL | Airflow | MLflow | Weights & Biases | Docker | GitHub Actions | JAX (exploratory) 8. Internship logistics & perks Competitive monthly stipend + performance bonus. High-end workstation + GPU credits on our private cloud. Dedicated mentor and 30-60-90-day learning plan. Access to premium research portals and paid conference passes. Culture of radical candor, weekly brown-bag tech talks, and hack days. Fast-track to full-time AI Research Engineer upon successful completion. 9. Application process Apply via email: Send résumé, brief statement of purpose, and GitHub/portfolio links to HR@stratsyn.ai . Online coding assessment: algorithmic + ML fundamentals. Technical interview (2 rounds): deep dive into projects, math, and research reasoning. Culture-fit discussion: with Research Lead & CPO. Offer & onboarding – target turnaround < 3 weeks.

Join us as a Risk Quants Associate This is a great opportunity for someone with experience in a quantitative role to join our Risk function Youll be working closely with quantitative analysts across asset classes to identify and assess diffusion models and pricer approximations This role will provide you with a platform to keep building your knowledge and expertise, and offers you great exposure for you and your work We're offering this role at associate level What you'll do As a Risk Quants Associate, youll be supporting a team of quantitative analysts and technical specialists, providing quantitative and technical mentoring This key role will also see you providing model, pricing and functional specifications of the models for the various asset classes, and for the subsequent validation by risk analytics, Day-to-day, Youll Also Be Providing a phased delivery of the simulation models and pricer prototypes Producing model documentation to be delivered to the PRA for internal review Advising senior management on and actively managing a projects non-delivery risk Making sure that adequate documentation is produced for governance Assisting our IT department in implementing the models, and overseeing the implementation of the functional specifications back-testing against the prototypes The skills you'll need Were looking for someone with significant experience in a quantitative role of specified asset classes, including credit valuation adjustments, expected positive exposure, building valuation models, optimising pricing routines and computing efficiency, Youll Also Demonstrate Exceptional Problem-Solving Skills Ability to approach complex challenges with analytical rigor and creativity, Strong Quantitative and Statistical Expertise Solid foundation in probability theory, statistics, calculus and data analysis techniques, Proficient Programming Skills Python or similar languages for data analysis and model development, Financial and Risk Acumen Good understanding of financial instruments and core risk concepts, Attention to Detail Careful and thorough approach to data, models, and documentation, ensuring accuracy and reliability in all aspects of analysis, Effective Communication Ability to explain technical concepts effectively to both technical and non-technical audiences, Show

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. Analyst – Commercial Rating and Underwriting Overview of The Department Commercial Rating and Underwriting (CRU) sits within the Credit and Fraud Risk (CFR) division and forms the institutional credit risk management function within American Express. The CRU team plays the critical role of assessing and managing the risk of institutional exposures across all business units within American Express, and in all regions globally. Credit exposures are primarily generated through corporate and small business card programs, via merchant service relationships where non-delivery risk exists, and among the securities portfolio held for firm-wide liquidity. CRU is led from Salt Lake City with regional teams in New York, London, Singapore, Sydney and India. In addition to determining the internal credit rating which drives the probability of default of each exposure, CRU also calculates the loss given default of these obligors while underwriting card programs. As a bank holding company, American Express must comply with the highest global banking standards set by Basel and implemented by the bank’s primarily regulatory, the Federal Reserve. Job Responsibilities Analyst will be based out of India, and responsible for rating and underwriting credit exposures predominantly for the english speaking markets. Fundamental analysis incorporates a thorough review of business, financial, industry and country risks coupled with support from internal and external rating model outputs. Assessment includes understanding of the need for credit extension, profitability of the relationship and program structures. Analysts will have opportunity to interact with various teams across the firm including front office sales, business unit risk partners, and credit administration to perform their critical role. Analyst will also be part of CRU Analytical and Operational Excellence team which is responsible for developing analytical frameworks, quality controls and colleague learning & development processes. Desired Skills · Experience as a credit analyst or underwriter dealing with commercial exposures ranging from small business or middle-market to large, multinational institutions · Thorough understanding of fundamental financial analysis including the ability to review corporate financial statements to determine the ability of the obligor to honor its credit obligations · Comfort with GAAP/IFRS accounting standards, corporate valuation, and forecasting · Familiarity with quantitative credit models (such as Moody’s RiskCalc, CreditEdge, etc) and knowledge of how to interpret the outputs, and when deviation from the model has appropriate defense · Comfort with public agency ratings and supporting analysis · Understanding of current macroeconomic trends and how to provide recommendations to improve the PD estimation based on the business cycle · Experience preparing company-specific and industry-wide credit memorandums Qualifications · 0-2 years' experience rating and / or underwriting at a leading financial institution or rating agency · Bachelor’s degree from a top tier university with high GPA and a degree (or substantial coursework) in finance, accounting, economics, or statistics · Chartered Financial Analyst program candidacy a plus · Proficiency with MS excel, VBA will be a plus Location: Bengaluru/Hybrid, India We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion. Responsibilities Model Development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. Data Analysis: Perform a comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. Algorithm Optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. Deployment and Monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Requirements Education level: Bachelor's degree (B. E. / B. Tech) in Computer Science or equivalent from a reputed institute. Technical Expertise Strong foundation in Statistics, Probability, and core Machine Learning concepts. Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches. Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark). Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e. g., torch-rec). Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL). Familiarity with the full Data Science lifecycle from data collection and preprocessing to model deployment. This job was posted by Rituza Rani from Oneture Technologies.

Career Point University, Kota School of Basic & Applied Sciences invites applications from prospective & eligible candidates for the vacant post of Assistant Professor - Mathematics. Key Responsibilities: Conduct undergraduate and postgraduate classes in Mathematics. Participate in academic planning, curriculum development, and departmental activities. Organise and coordinate seminars, workshops, and conferences. Supervise student projects, dissertations, and research activities. Collaborate with academic and research institutions for joint initiatives. Eligibility Criteria: Ph.D. in Mathematics from a recognised University/Institution. NET (National Eligibility Test) qualification is mandatory. Proven academic and research credentials, including publications in reputed journals, authored books, patents, or technology development. How to Apply: Interested candidates may email their updated CV to hr@cpur.edu.in or contact us at +91-9057532005 for further information.

The Machine Learning Architect role is a crucial position within our team where you will be responsible for studying and transforming data science prototypes, designing machine learning systems, and implementing cutting-edge artificial intelligence products. Your role will involve researching and implementing suitable ML algorithms, developing machine learning applications based on project requirements, and selecting appropriate datasets and data representation methods. Additionally, you will be conducting machine learning tests and experiments, performing statistical analysis, and fine-tuning systems based on test results. As a Machine Learning Architect, you will also be expected to train and retrain systems as needed, extend existing ML libraries and frameworks, and stay updated with the latest developments in the field. The ideal candidate for this position should have proven experience as a Machine Learning Architect or in a similar role, possess a strong understanding of data structures, data modeling, and software architecture, and demonstrate deep knowledge of math, probability, statistics, and algorithms. Candidates should have the ability to write robust code in Python, Java, and R, be familiar with machine learning frameworks such as Keras or PyTorch, and libraries like scikit-learn. Excellent communication skills, the capability to work effectively in a team, outstanding analytical and problem-solving abilities are essential for this role. A Bachelor's degree in Computer Science, Mathematics, or a related field is required, while a Master's degree would be considered a plus. If you are passionate about machine learning, possess the necessary skills and qualifications, and are looking to work on exciting AI projects, we encourage you to apply for the Machine Learning Architect position with us.,

Job Description: PreSales Solution & Bid Manager Location: Gurgaon, India Department: Pre-Sales / Bid Management – Healthcare BPO Experience Required- 8 To 12 Years Key Responsibilities Drive the full bid lifecycle: opportunity qualification, RFI/RFP/RFQ analysis, solution design, pricing strategy, proposal creation, and submission. Lead the development of customized, client-focused pitch decks and solution presentations to support sales and account teams. Work closely with internal stakeholders (Sales, Delivery, Finance, Technology, Compliance, Legal) to develop holistic and scalable healthcare BPO solutions. Translate complex solutions into compelling visual narratives for decision-makers, including executive summaries and business value articulation. Participate in client meetings and presentations to explain proposed solutions and answer technical/commercial queries. Maintain and continually improve a repository of proposal templates, case studies, and reusable solution content. Perform competitive analysis and win/loss reviews to refine future proposals and enhance win probability. Required Experience & Skills Total Experience: 8–12 years in pre-sales, bid management, or solutions consulting; at least 3–5 years in healthcare BPO services. Domain Knowledge: Familiarity with US healthcare payer and provider operations, including RCM, patient/member engagement, prior auth, coding, and claims management. Pre-Sales Proficiency: Strong RFP/RFI response writing, solution design, stakeholder management, and pricing model understanding. Presentation Skills: Proven ability to design high-impact pitch decks and present value-driven narratives tailored to client needs. Tools Expertise: MS PowerPoint (advanced), Excel (financial modeling), Word, and collaboration tools (e.g., MS Teams, SharePoint, CRM systems). Communication: Excellent written and verbal communication skills; experience in client-facing roles preferred. Education: Bachelor's degree in Engineering, Life Sciences, Healthcare Management, or Business; MBA or advanced qualification is a plus. Preferred Attributes Experience working with global sales teams and offshore delivery models. Exposure to automation, AI/ML, or digital transformation in healthcare operations. Certifications in bid/proposal management (e.g., APMP) or domain-specific credentials (e.g., CPC, CCS-P) are advantageous. Powered by JazzHR KAY81L3jYN

Position Title: SRE Engineer Position Type: Regular - Full-Time Position Location: New Delhi Requisition ID: 30491 Job Purpose Reporting to the Sr Manager, DevSecOps & SRE, the Site Reliability Engineer will be responsible for: Site reliability engineers (SREs) are responsible for improving system reliability and resilience to make it faster and easier to develop and deploy new software capabilities. SREs focus especially on building automation to reduce manual effort and prevent operations incidents. Job Responsibilities Work with stakeholders such as product owners and Engineering to define service level objectives (SLOs) for system operations. Track performance against SLOs in partnership with monitoring teams or other stakeholders, and ensure systems continue to meet SLOs over time. Create dashboards and reports to communicate key metrics. Create software to improve performance, scalability, and stability of systems. Collaborate with development teams to promote the concept of reliability engineering during all phases of the software development lifecycle to detect and correct performance issues and meet availability goals. Design, code, test, and deliver infrastructure software to automate manual operational work (i.e., “toil”). Participate in operational support and on-call rotation shifts for supported systems and products. Conduct blameless post mortems to troubleshoot priority incidents. Perform analytics on previous incidents to understand root causes and better predict and prevent future issues. Use automation to reduce the probability and/or impact of problem recurrence. Identify, evaluate, and recommend monitoring tools and diagnostic techniques to improve system observability. Participate in system design consulting, platform management, capacity planning and launch reviews. Collaborate and share lessons learned regarding performance and reliability issues with all stakeholders including developers, other SREs, operations teams, and project management teams. Participate in communities of practice to share knowledge and foster continuous improvement. Remain current on site reliability engineering methods and trends such as observability-driven development and chaos engineering. Drive continuous improvement in software quality and infrastructure reliability and resilience. Oversee, design, implement, and manage DevOps capabilities using continuous integration/continuous delivery toolsets and automation. SRE engineer will focus on Application Performance Monitoring (APM) including Design, Solution, POC, profiling and tuning application compute and data nodes and resources. Some key duties of this role are: Assist in defining SRE and Observability architecture, design Analyze, Implement new features of SRE and Observability Platform Full stack monitoring across all layers (Infrastructure/Network/Database/Application/Services/Third Party) Provide technical hands-on leadership in commercial and Open source/commercial monitoring Tool salection Implementation. Implement SRE driven automated Incident Detection -> automated Engagement –> Triage/Mitigate – RCA/Postmortems -> Problem task Remediation. AI Driven Correlation, De-duplication Noise Reduction and Auto Remediation Provide weekly monitoring and alert analysis and continuous improvement Create a model of the run-time environment (discovery) Profile the performance and behavior of user-defined transactions Establish Performance metrics from each of the applications/systems technical components (Webserver, App server, Database, etc.) Application performance management database APM tool Administration and Support Monitoring Tool design and implementation APM Setup/Usage policies and guidelines Capacity Planning and monitoring Monitor selected application performance Report vital statistics of application performance in production Make recommendations for improvements with Service Desk Make recommendations for adjustments to runtime resources to improve overall performance profile Key Qualification & Experiences Strong problem solving and analytical skills. Strong interpersonal and written and verbal communication skills. Highly adaptable to changing circumstances. Interest in continuously learning new skills and technologies. Experience with programming and scripting languages (e.g. Java, C#, C++, Python, Bash, PowerShell). Experience with incident and response management. Experience with Agile and DevOps development methodologies. Experience with container technologies and supporting tools (e.g. Docker Swarm, Podman, Kubernetes, Mesos). Experience with working in cloud ecosystems (Microsoft Azure AWS, Google Cloud Platform,). Experience with monitoring and observability tools (e.g. Splunk, Cloudwatch, AppDynamics, NewRelic, ELK, Prometheus, OpenTelemetry). Experience with configuration management systems (e.g. Puppet, Ansible, Chef, Salt, Terraform). Experience working with continuous integration/continuous deployment tools (e.g. Git, Teamcity, Jenkin, Artifactory). Experience in GitOps based automation is Plus Bachelor’s degree (or equivalent years of experience). 5+ years of relevant work experience. SRE experience preferred. Background in Manufacturing, Platform/Tech compnies is preferred. Must have Public Cloud provider certifications (Azure, GCP or AWS) Having CNCF certification is plus Other Information Travel: as required. Job is primarily performed in a Hybrid office environment. McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse, antiracist, inclusive, merit-based, and equitable workplace. As a global family-owned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity, resilience, and success and makes our business stronger. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to meet your needs. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Employee Privacy Policy Job Family: Information Technology Division: Global Digital Technology Department: I and O Project Delivery Location(s): IN - India : National Capital Territory : New Delhi Company: McCain Foods(India) P Ltd

Job Title: Specialty Development – Senior (Data Analyst / Data Scientist) Location: Chennai 34333 Job Type: Contract Compensation: Up to ₹21 LPA Notice Period: Immediate Joiners Only Role Overview We are seeking a highly capable and motivated Data Analyst / Data Scientist to join a growing analytics team. The ideal candidate should possess strong expertise in statistical modeling , machine learning , and data analysis , with a proven ability to translate complex data into actionable insights. The role also offers opportunities to work on advanced AI domains including Natural Language Processing (NLP) and Generative AI (GenAI) . Candidates with strong academic backgrounds and relevant project exposure are encouraged to apply. Key Responsibilities Perform exploratory data analysis, statistical modeling, and visualization to identify trends and opportunities. Design and implement machine learning algorithms to solve real-world problems. Collaborate with engineering and product teams to integrate data-driven solutions into products and decision-making processes. Work on advanced AI techniques including Natural Language Processing, Large Language Models (LLMs), and Generative AI. Manage, manipulate, and query large datasets using SQL and Python. Present findings and insights in a clear and actionable manner to both technical and non-technical stakeholders. Required Skills Strong proficiency in Python for data analysis and modeling Solid understanding of Statistics and Probability Experience with SQL for querying relational databases Hands-on experience in Machine Learning and model development Preferred Skills Experience with Large Language Models (LLMs) or Generative AI Familiarity with cloud platforms such as Google Cloud Platform (GCP) or similar Background in working on projects related to the automotive domain is a plus Experience Required: Minimum of 5 years in data analysis, data science, or machine learning roles Preferred: Automotive domain experience or advanced academic research projects in data science Educational Qualifications Required: Bachelor's Degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Physics, or Economics Preferred: Master’s Degree or Ph.D. in a relevant field Skills: sql,natural language processing,generative ai,automotive,machine learning,python,data,learning,statistical modeling,data analysis

Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary : As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities: Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills : Master’s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the company's business practices and familiarity with the company's products and services Preferred qualifications, capabilities and skills : Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders

Job Description Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Responsibilities Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills.

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You'll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master's or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems.

Job Description What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Asset Management Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions. Quantitative Strategists Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment goldmansachs.com/careers Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

ABOUT STYLDOD – Styldod Inc. is on a mission to democratize home design by building design-led consumer engagement AI. Our innovative platform, ' reimaginehome.ai ,' has achieved remarkable success with over 1.5 million registered users in just 12 months, all achieved organically. We draw insights from a vast repository of real estate data. As a team led by an IIT Delhi alumnus and a National Institute of Design postgraduate, we pride ourselves on being a unique blend of in-house AI experts, AI research collaborators from leading global universities, and design and real estate experts. At Styldod, we foster a dynamic culture where a small but highly skilled team makes decisive, concentrated bets on solving complex problems that have a profound impact on the world. Our work environment thrives on meritocracy. Join us if you are passionate about making a significant impact, relish challenging problems, and want to be part of a culture that values excellence, innovation, and a good laugh along the way. ROLE OVERVIEW – We are looking for a Machine Learning Engineer with hands-on experience in Deep Learning (especially PyTorch) and strong Python programming skills. You will work closely with our AI team to develop, optimize, and deploy ML models that power our real estate AI solutions. KEY RESPONSIBILITIES – Develop and optimize deep learning models for image processing, computer vision, and generative AI. Implement, train, and fine-tune models using PyTorch and related frameworks. Write efficient and clean Python code for model development and data processing. Work with large-scale real estate datasets and build robust data pipelines. Deploy and optimize models for production, ensuring scalability and efficiency. Collaborate with cross-functional teams, including product managers and engineers, to integrate ML models into real-world applications. Stay updated with the latest AI and deep learning research to improve model performance. REQUIRED SKILLS AND QUALIFICATIONS - Strong Python programming skills with experience in writing clean, modular, and efficient code. 1-3 years of experience in the domain (Data Science, Machine Learning) Deep Learning expertise, particularly with PyTorch. Solid understanding of computer vision techniques (e.g., image segmentation, object detection, generative models). Experience with data preprocessing, augmentation, and handling large scale datasets. Basic knowledge of mathematical foundations behind ML (e.g., linear algebra, probability, calculus).  GOOD TO HAVE SKILLS – Basic knowledge of Transformers and its Derivatives. Experience with HuggingFace Ecosystem (Transformers, Diffusers etc.) Experience with Generative AI models (e.g., GANs, VAEs, Diffusion Models). Experience with 3D Computer Vision . Experience with version control (Git), cloud services (AWS/GCP), and SQL/NoSQL databases.