1312 Probability Jobs - Page 49

Skills/ Qualifications Required: Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling) , NLP Expertise in Demand Forecasting Proficient in tools / languages like SQL, Python & PySpark Good understanding of Probability & Statistics Hands-on experience in Azure Good communication skills Job Responsibilities Data collation, processing, cleaning & transformation along with feature engineering and model development. Hands-on with model training, evaluation & fine tuning. Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s) Develop & implement various customer segmentation, LTV & marketing campaign optimization models. Actively own & manage client deliverables. Effectively engage with client & translate client business requirements into equivalent analytical problems. Understand data and different platforms used by the client. Actively contribute towards design methodology for problem solving. Analyze large & complex data sets to derive valuable insights Show more Show less

Basic Function: The Program Excellence Manager plays a pivotal role in achieving the organization's operational efficiency goals. This position is responsible for establishing and standardizing a structured program & project management approach within IO, enabling functions to independently plan, manage, and execute projects, including strategic initiatives. The role ensures alignment with organizational goals, supports project teams through training and enablement, and oversees the cadence of strategic initiatives. The role ensures the seamless execution of programs and strategies designed to promote a process-driven and continuous improvement mindset, while maintaining alignment with the organization’s long-term objectives. Specific Duties and Responsibilities: Specific Duties And Responsibilities Strategic Governance: Establish governance structures for internal and external programs,providing clarity on roles, responsibilities, and reporting standards. Act as a strategic advisor for high-impact initiatives, incorporating best practices and continuous improvement methodologies. Develop Program & Project Management Approach: Design and implement standardized project management frameworks, tools, and methodologies tailored to the organization's needs. Ensure alignment of project management practices with Infinit-O's operational goals and strategic priorities. Program Oversight: Strategic Program Management: Oversee the management and execution of strategic initiatives, ensuring projects remain on track and deliver expected outcomes. Governance Structures: Establish governance frameworks that define roles, responsibilities, and reporting mechanisms to drive accountability. Track progress against milestones and maintain a program-level view of health, risks, and blockers. Work with team leads and delivery owners to synchronize efforts and remove impediments. Prepare and present program-level dashboards and executive summaries. Scope Management: Define and ValidateScope: Establish and document project scope, including deliverables, constraints, and assumptions. Control Scope: Monitor project scope and implement processes to manage scope changes effectively, ensuring alignment with strategic objectives. Support change management and communication plans across impacted teams Risk Management: Identify and Analyze Risks: Proactively identify potential project risks , assess their impact and probability, and integrate risk management into project planning. Mitigation Strategies: Develop and implement risk mitigation strategies to minimize disruption and ensure project continuity. Cross-functional Collaboration: Facilitate and drive collaboration among cross-functional teams to enhance the execution of strategic initiatives. Act as a liaison between departments to ensure alignment and resolve interdepartmental challenges. Support other team members - Process Management, Compliance Management, Sales Effectiveness - as needed to achieve common objectives. Act as a strategic advisor for high-impact initiatives, incorporating best practices and tools to optimize execution across departments. Stakeholder Communication Plan Develop Communication Plans: Create and maintain comprehensive stakeholder communication plans, detailing communication frequency, methods, and channels. Engagement and Alignment: Facilitate regular updates and engagement sessions with stakeholders to ensure transparency and alignment with organizational priorities. Please note that this is not the Delivery role; this role requires coordination among various Departments. Show more Show less

Contract-to-Hire Opportunity with High-Growth Startup Join the forefront of innovation with Premier Pixel , a leading AI Services Company. We are seeking a skilled and experienced Android Developer to join our team. This is a fantastic opportunity to contribute to exciting projects in a fast-paced and collaborative environment. We're partnering with an innovative startup to find an exceptional Senior Android Developer for an exclusive 3-month contract with strong potential for permanent placement. What You'll Do: Build end-to-end features: networking, persistence, business logic, and UI for a consumer-facing Android app Collaborate directly with product and design teams to create delightful mobile experiences Work with cross-functional teams including backend engineers on high-impact solutions Write maintainable, performance-optimized code across diverse Android devices Measure and optimize app performance continuously Requirements: 4+ years Android development experience Strong expertise in Kotlin and consumer-facing Android apps Deep understanding of Android framework components and lifecycles Current knowledge of Android API levels and architecture components Experience with performance optimization and debugging tools Proven track record working with product teams and designers Experience in fast-paced startup environments preferred What We Offer: Competitive monthly compensation Direct client interaction and ownership High probability of permanent placement after successful 3-month period Opportunity to shape product direction from early stages 🎁 Perks ₹1,000/month Zomato voucher — eat good, build great Monthly growth budget for courses or books The freedom to build like it’s your own company 🧠 Our Values Speed > Everything Speak up, don’t wait Learn obsessively Take massive action Push through failure Be dangerously ambitious 📍 Location: Gurgaon 💼 Type: Full-time 💰 Compensation: 15-30LPA Based on Experience and Qualifications (Actual may vary) 📅 Start Date: ASAP Apply now to join our team and make an impact! Show more Show less

Job Description ----------------------------------------------- Job Description: Lead Data Scientist – Healthcare Domain Specialist Location: Bangalore Company: RT Global Infosolutions Pvt Ltd (www.rgisol.com) Employment Type: Full-Time Industry: Healthcare/AI/Analytics Domain Expertise: Predictive Analytics, Healthcare Data As a key leader in our data science team, you will define strategy, lead projects, and collaborate with healthcare professionals, engineers, and product teams to deploy scalable AI solutions. Key Responsibilities • AI Model Development: Design, develop, and optimize predictive models for elderly fall risk assessment using advanced machine learning (ML) and deep learning techniques. • Data Analysis: Work with healthcare-specific data (e.g., patient records, sensor data, clinical data) to uncover patterns and actionable insights. • Domain Expertise Application: Leverage healthcare domain knowledge to ensure accuracy, reliability, and ethical use of models in predicting fall risks. • Collaborate with Experts: Collaborate with clinicians, healthcare providers, and crossfunctional teams to align AI solutions with clinical workflows and patient care strategies. • Data Engineering: Develop robust ETL pipelines to preprocess and integrate healthcare data from multiple sources, ensuring data quality and compliance. • Evaluation & Optimization: Continuously evaluate model performance and refine algorithms to achieve high accuracy and generalizability. • Compliance & Ethics: Ensure compliance with healthcare data regulations such as HIPAA, GDPR, and implement best practices for data privacy and security. • Research & Innovation: Stay updated with the latest research in healthcare AI, predictive analytics, and elderly care solutions, integrating new techniques as applicable. • Team Management: Guide all team members in technical and domain-specific problemsolving, manage day to day task deliverables, evaluate individual’s performance and coach. • Stakeholder Management: Present insights, models, and business impact assessments to senior leadership and healthcare stakeholders. Required Skills & Qualifications • Education: Master's or PhD in Data Science, Computer Science, Statistics, Bioinformatics, or a related field. A strong academic background in healthcare is preferred. • Experience: o 8 - 11 years of experience in data science, with at least 2 years in the healthcare domain. o Prior experience in leading AI projects in healthcare startups, hospitals, or MedTech companies. o Ability to work in cross-functional teams. o Ability to publish papers and research findings related to healthcare data science • Technical Expertise: o Proficiency in Python, R, or other programming languages used for ML and data analysis. o Hands-on experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Scikitlearn). o Experience with time-series data, wearable/sensor data, or IoT data integration is a plus. o Strong knowledge of statistics, probability, and feature engineering. o Familiarity with cloud platforms (AWS, Azure, GCP) and tools for scalable ML pipelines. • Healthcare Domain Knowledge: o Understanding of geriatric healthcare challenges, fall risks, and predictive care strategies. o Familiarity with Electronic Health Records (EHR), wearable devices, and sensor data. o Knowledge of healthcare data compliance (e.g., HIPAA, GDPR). • Soft Skills: o Strong analytical and problem-solving abilities. o Excellent communication skills to present findings to non-technical stakeholders. o A collaborative mindset to work with interdisciplinary teams. Preferred Qualifications • Knowledge of biomechanics or human movement analysis. • Experience with explainable AI (XAI) and interpretable ML models. What We Offer • Opportunity to work on cutting-edge healthcare AI solutions that make a meaningful impact on elderly lives. • Competitive salary and benefits package. • Flexible work environment, with options for hybrid work. • Opportunities for professional growth and leadership. • Collaborative and inclusive culture that values innovation and teamwork. Show more Show less

In this position, you will be responsible for Natural Language Processing Engineer to help us improve our Artificial Intelligence products and create new NLP applications with hands on NLTK and Spacy will be plus. Must have • Python programming • Deployment of the data science services at a large scale. Exploratory data analysis. • Deep Learning models and its deployments. NLP / NLU or Computer vision. • Mathematics of Machine Learning Statistics and probability. NoSQL and SQL databases. • Version control system. CI/CD pipeline. • Bash Scripting. • Data Structures and algorithms Role Requirements & Responsibilities • Minimum of 7+ years’ experience in Data Science. • Minimum one year of experience as a team lead of Data Scientists • Transforming natural language data into useful features using NLP techniques to feed classification algorithms Who You Are and What Makes You Qualified: • Bachelors / Masters / Ph. D. degree in the field of Data Science / Computer Science / Information technology. • Must have excellent Communication and Soft Skills • You understand the language of business and that technology can solve business problems. • You know that the right technology can empower organizations to work smarter, wherever they are, whenever they want and on the device they choose. • You must be reliable & have good time management skills. Show more Show less

⭐ Job Title: Machine Learning Engineer ⭐ Reporting To: Technical Lead ⭐ Job Type: Full-time, Permanent ⭐ Location: Whitefield, Bangalore 🔥 ABOUT THE COMPANY Formee Holdings is a multinational organization developing a portfolio of new and exciting brands in the tech and retail spaces. Formee Express, Formee, Tela Mela and Formee Jewlery are all brands under our umbrella; our fields of business are in e-commerce, EdTech and F&B industries. We are currently headquartered in Melbourne, Australia, with offices also in India, Malaysia, Canada, China, Philippines, US, and UK. Needless to say, our teams are diverse and innovative! At Formee Holdings, we value independence, flexibility, career and personal growth. We're a fast-growing Edu-tech company that embraces innovation and encourages our team members to push boundaries and reach new heights. With Formee Holdings, you will get an opportunity to work with a diverse team in different parts of the world. There is a huge potential for learning and growth. JOB OVERVIEW We are looking for a Machine Learning Engineer to design and build a conversational AI chatbot for public use. The chatbot will provide accurate, empathetic responses to a diverse audience, handling a wide range of queries while ensuring scalability, security, and accessibility. You’ll collaborate with our technology and UX teams to create a tool that aligns with Formee’s mission of community support. The ideal candidate will have a strong background in building a conversational AI model and a passion for applying AI techniques to solve real-world problems. KEY RESPONSIBILITIES Model Development & Innovation: Design, prototype, and optimize scalable deep learning architectures focused on natural language understanding and generation. Leverage techniques such as reinforcement learning from human feedback (RLHF) and instruction tuning to enhance conversational performance. Experiment with prompt engineering and develop methodologies to improve model interpretability and alignment with user intent. Research & Experimentation: Stay abreast of advances in NLP, deep learning, and generative AI by reviewing academic literature and industry trends. Lead proof-of-concept experiments and iterative development cycles to assess and validate novel approaches. System Integration & Deployment: Collaborate with software and data engineers to integrate AI models into production pipelines using MLOps best practices. Monitor live systems for model drift and other performance issues; implement mechanisms for continuous improvement and retraining. Cross-Functional Leadership: Work closely with product, design, and business teams to translate customer feedback and market trends into actionable technical requirements. Help set strategic roadmaps for AI research and guide development efforts in line with ethical AI principles and regulatory compliance. 🎯 SKILLS REQUIRED Technical Expertise: Expertise in designing and training a deep learning model from scratch using frameworks such as Tensorflow or PyTorch . Hands-on experience in designing, training, and fine-tuning large-scale Neural Language Models. In-depth knowledge of deep learning architectures, particularly Transformer models , and familiarity with techniques like reinforcement learning from human feedback (RLHF) and instruction tuning. Proficiency in natural language processing (NLP) fundamentals, including attention mechanisms, context window management, and prompt engineering. Strong programming skills in Python and familiarity with modern data pipelines. Experimental & Research Acumen: Demonstrable track record in conducting rigorous, iterative experiments—such as hyperparameter tuning, ablation studies, and performance benchmarking —to optimize model performance and alignment. A history of research contributions, which could include peer-reviewed publications, open-source contributions, or patents in areas related to AI, deep learning, or NLP. Additional Skills and Traits: Strong mathematical foundation, especially in linear algebra, calculus, probability, and statistics , to support algorithm development and optimization. Ability to dive into complex, large codebases to debug, optimize, and iterate on models. ⭐ ABOUT YOU You're curious about new technologies and Artificial Intelligence and you are driven to find ways to implement them in your work. You have a big appetite to learn and improve your technical skills. You are analytical and you have a keen eye for detail. You have great problem-solving skills, and you work well in a team. You have knowledge of the entire web development process. Excited to use and explore new generative AI tools for software engineering tasks on a day-to-day basis. Show more Show less

Responsibilities: • Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making. • Define and analyze key product data sets to understand customer and product behavior. • Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same. • Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations. • Perform feature engineering and develop and deploy predictive models/algorithms. • Coordinate with different teams to implement and deploy AI/ML driven models. • Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders. • Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Skills : • At least 4-6 years of experience of working with real-world data and building statistical models. • Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc. • Hands-on knowledge of SQL and Excel. • Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks. • Strong foundation of statistics and probability theory. • Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications. Other Skills: • Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience. • Ability to break a problem into smaller chunks and design solution accordingly. • Ability to dive deeper into data, ask right questions, analyze with statistical methods and generate insights. • Ability to write modular, clean and well-documented code along with crisp design documents. • Strong communication and presentation skills. Show more Show less

THIS IS A LONG TERM [12+ Months] CONTRACT POSITION WITH ONE OF THE LARGEST, GLOBAL, TECHNOLOGY LEADER . Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and a Flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader. Position Overview: This position reports to the India-based local manager and works closely with the North American (NAMER) Enterprise Subscription Renewal Representatives (ERR) Team. This role is responsible for a high volume of accurate renewal and new product quotations and order submissions associated with a specific set of Named Accounts. Minimum Qualifications 1+ Years of previous experience in a Sales Support role Proficient computer skills including MS Office and its suite of products, especially Excel Organized and task-oriented High attention to detail Customer service oriented Ability to retain accuracy while working quickly Previous work experience in a large corporate office environment Professional and courteous attitude Preferred Qualifications Proficient with Salesforce.com (SFDC) 4-year degree Responsibilities Create and submit accurate quotes to customers 60-90 days before they are due Use Salesforce.com reporting to identify all NAMER renewals, products and pricing Use Salesforce.com to document all customer opportunities and customer activity Use Salesforce.com and the embedded forecast probability definitions to categorize opportunities accordingly Maintain basic knowledge of products, competition and industry trends along with promotions and other items related to doing business with client and/or its Partners Build strong relationships and partnerships with Outside Sales and ERR Team Show more Show less

CryptoChakra is an industry-leading cryptocurrency analytics and education platform committed to simplifying digital asset markets for traders, investors, and institutions. By integrating advanced machine learning frameworks, real-time blockchain intelligence, and immersive learning ecosystems, we empower users to decode market volatility with precision. Our platform delivers AI-driven price forecasts, sentiment analysis tools, and smart contract audits, complemented by curated tutorials and risk management frameworks. Focused on predictive modeling, DeFi analytics, and educational excellence, we champion transparency, integrity, and cutting-edge technology to democratize crypto literacy for a global audience. As a remote-first innovator, we bridge the gap between complex blockchain data and actionable financial strategies. Position: Data Analyst Intern (Digital Assets) Remote | Full-Time Internship | Compensation: Paid/Unpaid based on suitability Role Summary Join CryptoChakra’s analytics team to transform raw blockchain data into strategic insights that power predictive models and educational resources. This role offers hands-on experience in statistical analysis, machine learning, and crypto market research, with mentorship from industry experts. Key Responsibilities Data Analysis & Modeling: Process and analyze datasets from exchanges (CoinGecko, Binance) and blockchain explorers (Etherscan) using Python/R and SQL. Conduct statistical evaluations (regression, clustering) to identify trends in trading volumes, wallet activity, and NFT markets. Predictive Analytics Support: Assist in refining AI-driven models for price forecasting and DeFi risk assessment. Validate model accuracy against real-time market movements and on-chain metrics. Insight Communication: Create dashboards (Tableau, Power BI) and reports to translate findings into actionable strategies for traders and educators. Blockchain Metrics Decoding: Investigate smart contract interactions, gas fees, and liquidity pool dynamics to support educational content development. Qualifications Technical Skills Proficiency in Python/R for data manipulation (Pandas, NumPy) and basic machine learning (Scikit-learn). Strong understanding of statistics (hypothesis testing, probability distributions) and SQL/NoSQL databases. Familiarity with data visualization tools (Tableau, Plotly) and blockchain datasets (Etherscan, Dune Analytics) is a plus. Professional Competencies Analytical rigor to derive insights from unstructured data. Ability to articulate technical results to cross-functional teams in a remote setting. Self-driven with adaptability to Agile workflows and collaboration tools (Slack, Jira). Preferred (Not Required) Academic projects involving crypto market analysis, time-series forecasting, or NLP. Exposure to DeFi protocols (Uniswap, Aave) or cloud platforms (AWS, GCP). Pursuing or holding a degree in Data Science, Statistics, Computer Science, or related fields. What We Offer Skill Development: Master tools like TensorFlow, SQL, and blockchain analytics platforms. Portfolio Impact: Contribute to models and tutorials used by globalCryptoChakra users. Flexibility: Remote work with mentorship tailored to your learning goals. Certification & Recognition: LinkedIn endorsement and completion certificate for standout performers. Show more Show less

Job Description This is a remote position. Position: AI/ML Engineer Intern Duration: 3 months Location: Work From Home About The Role We are seeking an experienced AI/ML Engineer to join our team building an innovative AI-powered SaaS platform. You will be responsible for developing the core AI functionalities that power our document analysis and generation, win probability prediction, and compliance checking features. This is a key role in creating a Blue Ocean product that transforms how organizations approach proposal writing and bid management. Responsibilities Design and implement NLP models for intelligent document analysis and high-quality proposal generation Develop predictive analytics models to calculate win probability scores based on historical data, competitor analysis, and proposal content Create AI algorithms for compliance checking that can identify missing requirements and suggest corrections across various regulatory frameworks (FAR, DFARS, HIPAA, IRS non-profit rules) Build machine learning models that analyse competitor strategies and pricing trends to provide actionable insights. Implement systems that allow AI to learn from past proposals, client feedback, and bid outcomes to continuously improve future recommendations. Collaborate with subject matter experts to encode domain knowledge into AI models Optimize AI/ML models for performance and accuracy Develop a learning system that improves bid strategies based on post-submission analytics and feedback Requirements Advanced degree in Computer Science, Machine Learning, AI, or equivalent practical experience Aware of developing NLP/NLG solutions for document analysis and generation Strong experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face Transformers) Practical experience implementing and fine-tuning large language models Knowledge of predictive modelling and statistical analysis for forecasting outcomes Experience with text extraction, classification, and sentiment analysis Familiarity with compliance regulations and document requirements is a plus Strong Python programming skills Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, etc.) Excellent problem-solving skills and attention to detail Advanced Technical Skills Required Extensive experience with transformer-based language models (BERT, GPT, T5) and fine-tuning techniques for domain-specific applications Demonstrated ability to implement Retrieval-Augmented Generation (RAG) architectures for grounding AI outputs in factual data Experience developing multi-task learning models that can simultaneously handle document classification, entity extraction, and text generation Proficiency with vector embeddings and semantic search for document similarity and retrieval Strong knowledge of prompt engineering techniques for controlling AI outputs within specific parameters Experience with explainable AI methods to provide transparency in decision-making processes Skills in building reinforcement learning from human feedback (RLHF) systems to improve model outputs Advanced knowledge of evaluation metrics for NLP systems (ROUGE, BLEU, BERTScore, human evaluation frameworks) Ability to implement efficient token optimization techniques for working with large documents Experience with ensemble methods for improving prediction accuracy in win probability models. Benefits Hands-on experience in a dynamic and creative work environment. Mentorship and guidance from experienced project managers. Opportunity to work on real projects that impact the company's growth and success. A certificate of completion and a letter of recommendation upon successful completion of the internship. This is an unpaid internship. A performance-based stipend will be issued based on your contribution and achievements during the internship. Show more Show less

About The Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About The Role We are seeking a highly motivated Senior Data Engineer to join our Data Platform team for our Edge Computing AI Platform. As a Data Engineer in our Data Platform team, you will be responsible for helping us shape the future of data ingestion, processing, and analysis, while maintaining and improving existing data systems. If you are a highly motivated individual with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform, we would love to hear from you. Location. This role is office-based at our Trivandrum, Kerala office. What You'll Do (Key Responsibilities) Build new tools and services that support other teams’ data workflows, ingestion, processing, and distribution. Design, discuss, propose, and implement to our existing data tooling and services. Collaborate with a diverse group of people, giving and receiving feedback for growth. Execute on big opportunities and contribute to building a company culture rising to the top of the AI and Edge Computing industry. Required Qualifications 6+ years of experience in software development. Experience with data modeling, ETL/ELT processes, streaming data pipelines. Familiarity with data warehousing technologies like Databricks/Snowflake/BigQuery/Redshift and data processing platforms like Spark; working with data warehousing file formats like Avro and Parquet. Strong understanding of Storage (Object Stores, Data Virtualization) and Compute (Spark on K8S, Databricks, AWS EMR and the like) architectures used by data stack solutions and platforms. Experience with scheduler tooling like Airflow. Experience with version control systems like Git and working using a standardized git flow. Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a team environment. Professional experience developing data-heavy platforms and/or APIs. A strong understanding of distributed systems and how architectural decisions affect performance and maintainability. Bachelor’s degree in computer science, Electrical Engineering, or related field. Preferred Qualifications Experience analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability. Proficiency with a deep learning framework such as TensorFlow or Keras. Understanding of MLOps practices and practical experience with platforms like Kubeflow / Sagemaker. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada. You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Show more Show less

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 11+ Years. Strong working experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability, SQL, Model Packaging & Deployment. Hands-on experience with Generative AI tools and frameworks. Strong proficiency in Python, R, or Scala, with experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, or Altair. Deep knowledge of machine learning techniques (supervised, unsupervised, ensemble methods), optimization algorithms (e.g., linear programming, metaheuristics), and constraint satisfaction. Understanding of evaluation metrics for LLMs and best practices to build production-ready GenAI apps. Experience with cloud platforms (e.g., AWS, Azure, GCP) for ML model training and deployment. Familiarity with data engineering tools and workflows including ETL pipelines and distributed systems. Excellent interpersonal and communication skills, with the ability to influence stakeholders and collaborate effectively across functions. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Show more Show less

Maximize market share and probability with every strategic automotive customer in the region assigned. Secure new business for new products and new applications in line with DCS strategy. Manage and allocate the human resources in his assigned territory dedicated to the customer segment in order to reach the above objectives. Establish and propose the SAP and budget for the sales activities in the dedicated market segment in the region compatible with the overall objectives defined by the Sales & Marketing Manager – India. Ensuring the compliance of customer specific requirements. Control on a regular basis the implementation of the actions and take all the corrective actions if needed, in order to achieve customer satisfaction and strategy objectives. Be responsible for the Sales activities in the dedicated market segment in the region and interface with the operations on customer related subjects and issues like quality demand productivity, improvement, customer expectations, supply volumes etc. Identify the market trends and needs for new applications and opportunities for the Automotive customer in the region. Maximize CS’s content on customer OEM platforms. Participate actively to the globalization of DCS, especially for worldwide acting customers being served in India Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law. Show more Show less

Senior Advisor - Data Science Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Senior Advisor on our Data Science Team in Bangalore What You’ll Achieve As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Partner with internal and external teams to understand customer requirements and develop proposals Conduct interactions with external customers to gather project requirements, provide status updates and share analytical insights Implement preliminary data exploration and data preparation steps for model development/validation Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. Solution, build, deploy and setup monitoring for models. Thrive in a dynamic and sometimes ambiguous environment, working with minimal supervision while delivering action items in a timely fashion. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements 8-10 years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. Working experience in data visualization (e.g., Power BI, matplotlib, plotly). Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Requirements Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ).Experience with cloud platforms (e.g., AWS, Azure, GCP) Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django).Skilled in programming languages like Java or JavaScript. Who We Are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 2 June 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID: R260848 Show more Show less

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers Correct the model's responses based on your domain-specific knowledge How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Master's degree or PhD in Mathematics and/or in a related field You have at least 3 years of professional experience in Algebra (Intermediate Algebra, Algebra, pre-algebra), Geometry, Calculus, Probability, Number theory Your level of English is advanced (C1) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise Show more Show less

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers Correct the model's responses based on your domain-specific knowledge How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Master's degree or PhD in Mathematics and/or in a related field You have at least 3 years of professional experience in Algebra (Intermediate Algebra, Algebra, pre-algebra), Geometry, Calculus, Probability, Number theory Your level of English is advanced (C1) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise Show more Show less

Type: Part-Time, Remote Perks: US organisation, handsome compensation Compensation: Starting at $13 to $20/hour (~Rs. 1350+ per hour) Minimum Commitment: 10 hours/week About Us: We are at forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models. We’re looking for skilled software engineers to help train cutting-edge AI models for the future of tech innovation! This is your chance to work remotely, on your own terms, and be part of the an growing AI organisation 🌍💡Key Qualifications: Skills Requirements: Mathematics Expert Abstract math (e.g., measure theory, number theory) Theoretical probability (e.g., P(A)P(B) for independent events) Basic calculus (e.g., deriving simple equations) Manipulating or isolating variables/quantifiers Arithmetic with small numbers Algebra (solving for variables) Numerical computation (large number calculations) Trigonometry and calculus concepts (e.g., solving roots or equations) Matrix and vector operations Applied probability and statistics (e.g., standard deviations, binomial distributions) Calculating areas, volumes, or integrals Numerical approximations (e.g., series, Monte Carlo methods) 🌍💡Background/Experience Requirements: Tutoring math for 6-8, or 9-10, or 11-12 standards or, Experience tutoring for online EdTech companies (Filo, Wyzant, Byjus, Brightchamps) or, PhD in mathematics (optional but preferred) or, Experience with competitive exam preparation or, Mathematics professor in college / university or, Freelance mathematicians/consultants or, Experienced data analyst or quantitative researcher 🌍💡About the Role: Turbocharge your career by working on prompt engineering, fine-tuning AI models, and other such skills of the future. These roles do not require AI/machine learning expertise but instead demand deep subject matter expertise in your core subject of study, coupled with fluent English and critical thinking. These are project-based roles that offer flexible hours, with an anticipated commitment of 2-3 hours daily. Work from home. 🌍💡Why You Should Apply: ✅ Flexible without any restrictions, opportunity – work whenever it fits your schedule! ✅ Remote – work from anywhere in India! ✅ Competitive pay – starting from $13/hour to $20/hour based on experience and performance How to Apply: ✅ Fill the GoogleForm ✅ Wait for shortlisting email ✅ Receive offer letter ✅ Take onboarding process very seriously Follow for more AI Jobs + Entrepreneurship Ayyush Sharma (Chhotapreneur) Growth, Strategy & Revenue Operations A+ track record in scaling startups Growth @ Outlier AI Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. What You'll Be Doing As an Associate Director, you will lead a team of data scientists focused on a specific program(s) delivering a business outcome within a problem space. These AI capabilities will include predictive, prescriptive and adaptive applications for all predictions and inferences at Verizon. Models will typically get implemented on premise, in cloud and/or on the edge and in both real-time and batch mode depending upon the business applications. An ideal candidate will have excellent communication skills, critical thinking, and strategic thinking skills above and beyond the technical knowledge and leadership skills required for this position. This role is responsible for Forecasting, data analytics, Gen AI capabilities and people management across projects by applying various statistical techniques, business acumen & stake holder management. The Associate Director develops the team and brings in best in class methods. This role serves as a leader in AI Science with a focus on driving continuous improvement for the demand function. Having Domain knowledge of VCG/VBG is an Add-on. Build and Manage the Team Building a diverse team with an inclusive culture and also attract and retain top data science and AI talent. Mentoring, guiding, and developing Data Scientists and people leaders (if applicable) Enabling career development via access to training resources, on the job coaching and mentoring Deliver Business Outcomes & Influence Business Partners Leading and managing team responsible for deploying analytical solutions to inform forecasts and drive decision-making across various projects Developing and implementing Forecasting best practices Implementing generalized AI solutions that address several business outcomes across a problem space. Operating with a high degree of autonomy, accountability and a sense of urgency in delivering business outcomes. Aligning with business partners to enable your team to design, develop, and deploy large-scale AI products with closed loop optimization in a production environment. Elevate the AI Practice Enforcing the established best practices and governance routines to ensure adherence to model management practices, peer reviews, and compliance to our policy standards for privacy, ethics and bias. Fostering an innovation culture where our scientists are engaged in pioneering work that can be shared with the world in a number of ways like inventions, open source, publications, etc. Creating monetizable AI applications that can be leveraged both within Verizon and externally with Verizons partners. What were looking for ... You are a dynamic leader with experience in implementation of AI in commercial applications driving business value and are proud to be a hands-on practitioner. You are constantly challenging the status quo and identifying new innovative ways to drive your team towards new ways of working that creates efficiencies. Youll Need To Have Bachelors degree or four or more years of work experience. Six or more years of relevant work experience. Five or more years of experience leading and building data science teams and talent Experience delivering business outcomes in large and complex business organizations or fast-growing startup businesses. Ability to communicate complex model designs and outcomes in business terms to a non-technical audience. Understanding and ability to explain both the code and the underlying math used in algorithms/models. Excellent coding proficiency in Python, Java, R, etc. Knowledge of AI/ML models, frameworks (Keras, PyTorch, etc.) and libraries/packages/APIs (e.g., Scikit). Even better if you have one or more of the following: Advanced degree in Computer Science, Mathematics or similar field is preferred Advanced knowledge of math, probability, statistics, and models Experience with Hadoop, AWS/GCP/Azure or other distributed compute services and cloud environments Exposure to data structures, data modeling and software architecture Excellent cross-functional collaboration skills & outstanding analytical and problem-solving skills. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Hyderabad, India Show more Show less

About the Company Zetheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official About the Role As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model. Responsibilities Conduct data cleaning, wrangling, and pre-processing for financial datasets. Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis. Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation. Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data. Use either one – Python, Excel or R to analyse, visualize, and model financial data. Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization. Who Should Apply? Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions. Strong problem-solving and analytical skills. Able to self-learn and work independently in a remote, flexible environment. Internship Details Duration: Self-paced. Option of 1 month or 2 month (within a period of 4 months) Type: Unpaid Show more Show less

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

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 or 2 months (within a period of 4 months given) • Type: Unpaid Show more Show less

Job Description You’re at the forefront of delivering secure software solutions. Join us a valued member of a top-performing team. As a Security Engineer II at JPMorgan Chase within the Cybersecurity & Tech Controls team, you are part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As an emerging member of the security engineering team, you execute basic software solutions through the design, development, and troubleshooting of multiple components within a technical area, while gaining skills and experience to grow within your role. Job Responsibilities Executes standard security solutions in accordance with existing playbooks to satisfy security requirements for internal clients (e.g., product, platform, and application owners) Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Applies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize probability and impact of threats when determining specific vulnerabilities Supports delivery of continuity-related awareness, training, educational activities, and exercises Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on experience in system design, application development, testing, and ensuring operational stability. Proficient with continuous integration and delivery tools, such as Terraform, and setting up fully automated CI/CD pipelines. Experience with container technologies and orchestration tools like ECS, Kubernetes, and Docker. Hands on coding skills in Java, with experience in Java/J2EE, Kafka, REST APIs, and building event-driven microservices. Experience in developing, debugging, and maintaining code in large corporate environments using modern programming and database querying languages. Understanding of Software Development Life Cycle, with proficiency in developmental toolsets like GIT/Github/BitBucket, JIRA, and Maven. Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Cloud-based certification like AWS Developer/Solution Associate is a plus. Familiar with PERF testing and turning as well as shift left practices like component testing, contract testing, mutation testing. Exposure to cloud technologies and AWS Services in public cloud infrastructure (S3, Terraform, EKS, ECS, MSK) About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Show more Show less

Job Description You’re at the forefront of delivering secure software solutions. Join us a valued member of a top-performing team. As a Security Engineer II at JPMorgan Chase within the Cybersecurity & Tech Controls team, you are part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As an emerging member of the security engineering team, you execute basic software solutions through the design, development, and troubleshooting of multiple components within a technical area, while gaining skills and experience to grow within your role. Job Responsibilities Executes standard security solutions in accordance with existing playbooks to satisfy security requirements for internal clients (e.g., product, platform, and application owners) Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Applies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize probability and impact of threats when determining specific vulnerabilities Supports delivery of continuity-related awareness, training, educational activities, and exercises Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on security engineering concepts and 2+ years applied experience Experience in software applications and technical processes within a specific technical discipline, with basic experience in software systems and design principles. Hands on experience specifically in Java and Spring Boot. Knowledge of industry-wide technology trends, best practices, and security protocols, including cryptography, authentication, authorization, and security. Experience in cloud technologies and familiarity with monitoring tools such as Splunk and Grafana. Experienced with version control systems, CI/CD tools, and data streaming frameworks. Understands agile methodologies, application resiliency, and security principles. Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Relevant experience in designing, developing, and implementing software solutions, constantly seeking to be an expert About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Show more Show less

Job Description Are you ready for a thrilling opportunity to join a vibrant team in a challenging environment? As a Quant Modelling Vice President in QR Markets Capital (QRMC) team's team, you will play a pivotal role by implementing the next generation of risk analytics platform. The QR Markets Capital (QRMC) team's mission is to build the models and infrastructure used for the risk management of Market Risk such as of Value at Risk(VAR)/Stress/Fundamental Review of the Trading Book(FRTB). The QRMC team in India will therefore play a critical role and support the activities of QRMC group globally. We also work closely with Front Office and Market Risk functions to develop tools and utilities for model development and risk management purposes. Job Responsibilities Work on the implementation of the next generation of risk analytics platform; Assess model performance, perform back testing analysis and P&L attribution; Improve performance and scalability of analytics algorithms; Develop and enhance mathematical models for VaR/Stress/FRTB; Assess the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk; Design efficient numerical algorithms and implementing high performance computing solutions; Design and develop software frameworks for analytics and their delivery to systems and applications. Required Qualifications, Capabilities, And Skills Advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.; 3+ years of relevant experience in Python and/or C++ along with proficiency in data structures, standard algorithms and object oriented design; You have basic understanding of product knowledge across a range of asset classes – Credit, Rates, Equities, Commodities, FX & SPG; You’re interested in applying agile development practices; You demonstrate quantitative and problem-solving skills as well as research skills; You understand basic mathematics such as statistics, probability theory; You demonstrate good interpersonal and communication skills, ability to work in a group; You’re attentive to detail and easily adaptable; Preferred Qualifications, Capabilities, And Skills Experience applying statistical and/or machine learning techniques in the financial industry; Knowledge of options pricing theory, trading algorithms or financial regulations; Experience using multi-threading, GPU, MPI, grid, or other HPC technologies is a plus; Excellent knowledge on data analysis tools in python like Pandas, Numpy, Scipy etc; Knowledge of advanced mathematics such as stochastic calculus; Knowledge of front-end technologies like HTML, React and integration with large data sets. 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 The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world. Show more Show less

Job Description Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? As a Quant Modelling Associate in our Risk Management and Compliance team, you'll play a pivotal role in maintaining JPMorgan Chase's strength and resilience. You'll anticipate emerging risks and use your expertise to tackle challenges affecting our company, customers, and communities. You'll be part of the Model Risk Governance and Review (MRGR) team, responsible for independent model review and governance activities to manage Model Risk. MRGR Trading focuses on valuation and risk-management models used within the Corporate & Investment Bank, particularly on Derivatives Instruments, involving complex and advanced modeling techniques. Job Responsibilities Model Review Evaluate conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability and comprehensiveness of performance metrics and risk measures Perform independent testing of models by replicating or building benchmark models Design and implement experiments to measure the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; compare model outputs with empirical evidence or outputs from model benchmarks Document the model review findings and communicate them to stakeholders Model Governance Serve as the first point of contact for model governance related inquiries for the coverage area, and help identify and escalate issues to ensure that their resolutions are sound and timely Provide guidance on the appropriate usage of models to model developers, users, and other stakeholders in the firm Stay abreast of the ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders Maintain the model inventory and model metadata for the coverage area Keep up with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards Required Qualifications, Capabilities And Skills PhD or Master’s degree in a quantitative discipline such as Math, Physics, Engineering, Computer Science, Economics or Finance Excellence in probability theory, stochastic processes, statistical/economic modeling, partial differential equations, and numerical analysis. Understanding of options and derivative pricing theory and risks Proficient in Python, R, Matlab, C++, or other programming languages Risk and control mindset: ability to ask incisive questions, assess materiality of model issues, and escalate issues appropriately Strong communication skills with the ability to interface with front office traders, and other functional areas in the firm on model-related issues; and produce documents for internal and external (regulatory) consumption Strong analytical and problem-solving abilities About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Show more Show less