At Apple, new ideas quickly transform into groundbreaking products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what can be accomplished. As part of the Supply Chain Innovation team, you will play a pivotal role in building end-to-end, best-in-class software solutions for Apple’s Supply Chain needs, ranging from Supply Planning and Demand Planning to Product Distribution and beyond. You will collaborate with various internal stakeholders to define and implement solutions that optimize Apple’s internal business processes. Description We are seeking an individual who thrives on tackling challenges and finding creative solutions. The ideal candidate should excel in collaborative environments and produce high-quality software under tight deadlines. Must be a self-starter, highly motivated, and able to work independently, while collaborating effectively with multi-functional teams across the globe (US, Singapore, India, and Europe). This role will have a direct impact on Apple’s business, requiring interaction with various internal teams to deliver cutting-edge products in a dynamic, ever-evolving environment. Key Responsibilities: Design, develop, and optimize highly scalable, distributed systems, leveraging cloud-native technologies and micro services architecture to build robust and resilient solutions. Lead proof-of-concept projects and pilot implementations to showcase new ideas. Strive for excellence by continuously seeking ways to enhance system reliability, performance, and security. Contribute to design and code reviews, and assist in debugging and resolving issues. Develop system components and take full responsibility for the timely delivery, quality of the work. Collaborate with product owners, developers, QA, support teams, and end users. Mentor and guide a team of engineers, fostering a culture of innovation and excellence. Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies. Ability to collaborate with contractors. Ability to multitask and work independently with minimal supervision. Occasionally, will need to handle application production (warranty) support. Minimum Qualifications 6+ years of relevant experience in enterprise-level application development using Python and related technologies Experience with Python data analytics platforms, such as pandas, DataFrames, numpy, etc. Strong knowledge of data structures, algorithm design, and object-oriented programming Proven ability to research, design, and develop complex technical solutions involving multiple technologies Experience in building Django/Flask-based app servers and API development Bachelor's / Master’s degree in Computer Science or equivalent Preferred Qualifications Familiarity with Agile project management methodologies Experience with various database technologies (RDBMS, Key-Value, Document-based, etc.) Experience working with Javascript Frameworks like Angular/React Experience in developing software and services in cloud environments like AWS, GCP, etc. Experience with real time data processing using Apache Kafka or other Streaming tools AI/ML-related experience A strong understanding of LLMs, prompt engineering and RAG Experience in developing applications for the Supply Chain business domain Submit CV

🧠 Data Science Intern (Remote) 🌐 🔍 Do you love exploring data, building models, and uncovering insights with the power of machine learning and statistics? Ready to begin your data science journey — all from anywhere in the world? This role is for you! 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Role: We’re looking for a curious and driven Data Science Intern to join our remote team! This internship is perfect for students or recent graduates who want hands-on experience with real-world datasets, algorithms, and predictive analytics. You’ll work on data cleaning, exploration, modeling, and visualization to help solve real problems and deliver valuable insights — all while collaborating with a friendly, remote-first team. 🚀 What You’ll Gain: ✅ 100% Remote – Work from anywhere 🌍 ✅ Flexible Schedule – Learn and contribute on your time ⏰ ✅ Real-World Experience – Apply data science to real projects 📊 ✅ Skill Building – Sharpen your Python, ML, and data analysis toolkit 🛠️ ✅ Mentorship – Learn from experienced data professionals 👥 👀 Ideal Candidate: 🎓 Currently studying or recently graduated in Data Science, Computer Science, Statistics, or a related field 🧠 Solid understanding of statistics, data analysis, and machine learning concepts 🛠️ Comfortable with Python, Pandas, NumPy, and tools like Jupyter Notebook; knowledge of scikit-learn or TensorFlow is a plus 📈 Passionate about solving problems with data and eager to learn 💬 Self-motivated and able to work independently in a remote setting 📅 Apply By: June 10th Excited to take your first step into the data science world? We’d love to hear from you! Let’s build models and make discoveries through data — together! 📊🧠💡 Show more Show less

Just Engineering is a leading Industrial automation training provider company delivering PLC/SCADA Industrial Automation and IT training from its state-of the-art training centre which is centrally located at JM Road, Deccan, Pune since 2012. We are looking for IT Trainer Data Analytic / Data Science course including Python, SQL , Data Analytics , Data Science, Machine Learning, Power BI, Excel basic and Advance, Tableau, R etc. to help us build our learning and development programs on latest technology. Job Description: 1. Training and Delivery: Deliver high-quality training on Data analytics and Data science related technologies for Programming, Data Visualization, Graphical presentation, AI, Machine Learning , databases and related advance technologies. Use interactive teaching methods such as hands-on coding exercises, live projects, case studies, and assignments to engage learners. Develop and implement curricula for training programs, workshops, and bootcamps based on learner levels (beginner to advanced). 2. Design Training Material: Create and update course content, including presentations, lab exercises, and study materials. Ensure the course is up to date with the latest industry standards and technology trends. 3. Mentorship and Guidance: Provide mentorship to students and guide them through projects. Conduct regular assessments to track learner progress. Offer career guidance and job preparation, including building portfolios, interview practice, and coding challenges. 4. Data Anaytics and Data Science Expertise: Teach core technologies including Python Programming, Power BI, Tableau and R Languages, Basic and Advanced Excel, Probability and Statistics concepts. Teach various concepts from basics to advanced in Data science and Data Analytics. Strong knowledge of various libraries like Numpy, Pandas, Sci-kit Learn and Matplotlib etc. 5. Student Support and Feedback: Provide timely feedback on assignments and projects. Address learner queries and provide troubleshooting assistance during training. 6. Performance and Progress Evaluation: Conduct assessments, quizzes, and evaluations to gauge the effectiveness of training. Adapt teaching methods based on feedback and learning outcomes. Skills and Qualifications: Technical Proficiency as applicable for course: Strong knowledge Data Analytics, Basic and Advanced Excel, Python, SQL, Power BI, Tableau, R, Statistics and Probability concepts Expertise in databases (SQL/NoSQL) and RESTful API development. Strong knowledge of Data Science, Machine Learning, Deep Learning, Power BI. Experience: 1 to 3 years of experience as a Data Analyst / Data Science Trainer or related roles. Prior experience in teaching, mentoring, or training is a plus. Soft Skills: Strong communication skills and ability to explain technical concepts to non-technical individuals. Patience, adaptability and ability to engage and motivate students. Excellent organizational, communication and time management skills. Educational Requirements: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Data science /Data Analytics/ Power BI/ Advanced Excel certifications are required. Interested candidates share your resume or call on 7028953079. Job Types: Full-time Pay: ₹10,000.00 - ₹40,000.00 per month Schedule: Day shift Evening shift Morning shift Weekend availability Work Location: In person Application Deadline: 01/07/2025 Expected Start Date: 01/07/2025 Show more Show less

Quantitative Researcher - High Frequency Trading Are you a self-proclaimed 'numbers person' with a love for high frequency trading, and staring at screens for hours on end? Do you enjoy the thrill of fast-paced, high-frequency trading? Then we've got the job for you! We're looking for a Quantitative Researcher to join our team and help us generate profits through complex financial modeling and lightning-fast algorithmic trading. You'll spend your days analyzing vast amounts of data, poring over charts and graphs, and occasionally taking breaks to go outside and squint at the sun. If you're the type of person who gets excited about 'tick data' and can recite the entire formula for calculating a 'moving average,' then we want to hear from you. Bonus points if you know how to 'cross-validate' like a pro and have a secret love for 'ARIMA models.' Qualifications A strong background in mathematics, statistics, or a related field Proficiency in Python, with experience using libraries such as NumPy, Pandas, and Scikit-Learn Familiarity with high-frequency trading strategies and market microstructure The ability to stare at screens for extended periods of time without going blind A passion for solving complex problems and generating profits through clever trading strategies A willingness to occasionally leave the office and breathe fresh air (optional) We offer competitive compensation packages, comprehensive benefits, and a company culture that values individuality Show more Show less

We are seeking a Senior Data Quality Engineer to join our innovative team, where you will drive excellence in database testing, performance optimization, and test automation frameworks. You will leverage advanced Python scripting and database expertise to ensure data integrity and optimize SQL transactions for scalability while working within cutting-edge AI/ML-driven environments. Responsibilities Develop robust Python-based test frameworks for SQL validation, ETL verification, and stored procedure unit testing Automate data-driven testing with tools like pytest, Hypothesis, pandas, and tSQLt Implement AI/ML models for detecting anomalous behaviors in SQL transactions and for test case generation to cover edge scenarios Train Machine Learning models to predict slow queries and optimize database performance through indexing strategies Validate stored procedures, triggers, views, and business rules for consistency and accuracy Apply performance benchmarking with JMeter, SQLAlchemy, and AI-driven anomaly detection methods Conduct data drift detection to analyze and compare staging vs production environments Automate database schema validations using tools such as Liquibase or Flyway in CI/CD workflows Integrate Python test scripts into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps) Design mock database environments to support automated regression testing for complex architectures Collaborate with cross-functional teams to develop scalable and efficient data quality solutions Requirements 5+ years of working experience in data quality engineering or similar roles Proficiency in SQL Server, T-SQL, stored procedures, indexing, and execution plans with a strong foundation in query performance tuning and optimization strategies Background in ETL validation, data reconciliation, and business logic testing for complex datasets Skills in Python programming for test automation, data validation, and anomaly detection with hands-on expertise in pytest, pandas, NumPy, and SQLAlchemy Familiarity with frameworks like Great for developing comprehensive validation processes Competency in integrating automated test scripts into CI/CD environments such as Jenkins, GitHub Actions, and Azure DevOps Showcase of tools like Liquibase or Flyway for schema validation and database migration testing Understanding of implementing AI/ML-driven methods for database testing and optimization Nice to have Knowledge of JMeter or similar performance testing tools for SQL benchmarking Background in AI-based techniques for detecting data drift or training predictive models Expertise in mock database design for highly scalable architectures Familiarity with handling dynamic edge case testing using AI-based test case generation Show more Show less

Job Title: Data Scientist Location: Remote Job Type: Full-Time | Permanent Experience Required: 4+ Years About the Role: We are looking for a highly motivated and analytical Data Scientist with 4 years of industry experience to join our data team. The ideal candidate will have a strong background in Python , SQL , and experience deploying machine learning models using AWS SageMaker . You will be responsible for solving complex business problems with data-driven solutions, developing models, and helping scale machine learning systems into production environments. Key Responsibilities: Model Development: Design, develop, and validate machine learning models for classification, regression, and clustering tasks. Work with structured and unstructured data to extract actionable insights and drive business outcomes. Deployment & MLOps: Deploy machine learning models using AWS SageMaker , including model training, tuning, hosting, and monitoring. Build reusable pipelines for model deployment, automation, and performance tracking. Data Exploration & Feature Engineering: Perform data wrangling, preprocessing, and feature engineering using Python and SQL . Conduct EDA (exploratory data analysis) to identify patterns and anomalies. Collaboration: Work closely with data engineers, product managers, and business stakeholders to define data problems and deliver scalable solutions. Present model results and insights to both technical and non-technical audiences. Continuous Improvement: Stay updated on the latest advancements in machine learning, AI, and cloud technologies. Suggest and implement best practices for experimentation, model governance, and documentation. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 4+ years of hands-on experience in data science, machine learning, or applied AI roles. Proficiency in Python for data analysis, model development, and scripting. Strong SQL skills for querying and manipulating large datasets. Hands-on experience with AWS SageMaker , including model training, deployment, and monitoring. Solid understanding of machine learning algorithms and techniques (supervised/unsupervised). Familiarity with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn. Show more Show less

Role: Senior Data Engineer Location: Indore Job Description: Build and maintain data pipelines for ingesting and processing structured and unstructured data. Ensure data accuracy and quality through validation checks and sanity reports. Improve data infrastructure by automating manual processes and scaling systems. Support internal teams (Product, Delivery, Onboarding) with data issues and solutions. Analyze data trends and provide insights to inform key business decisions. Collaborate with program managers to resolve data issues and maintain clear documentation. Must-Have Skills: Proficiency in SQL, Python (Pandas, NumPy), and R Experience with ETL tools (e.g., Apache NiFi, Talend, AWS Glue) Cloud experience with AWS (S3, Redshift, EMR, Athena, RDS) Strong understanding of data modeling, warehousing, and data validation Familiarity with data visualization tools (Tableau, Power BI, Looker) Experience with Apache Airflow, Kubernetes, Terraform, Docker Knowledge of data lake architectures, APIs, and custom data formats (JSON, XML, YAML) Show more Show less

Job Description You are a strategic thinker passionate about driving solutions in valuation control. You have found the right team. As an Associate in our Valuation Control Group (VCG) team, you will spend each day defining, refining, and delivering set goals for our firm. Your primary responsibility will be to work on the automation and redesign of existing implementations using tools such as Python, Alteryx, Excel VBA, and BI tools like Tableau. The VCG is organized along business lines including Corporate & Investment Bank (Macro Products, Credit, Equities, Securitized Products, IB Risk), CIO, Treasury & Corporate (CTC), Asset Management, Consumer & Community Banking (CCB), and Commercial Banking (CB). You will collaborate closely with senior management, business heads, regulators, internal and external audit, as well as Traders, CFOs, Market Risk, and Middle Office to ensure a complete understanding of business issues and the accurate execution of valuation policy. Job Responsibilities Automate Excel tasks by developing Python scripts with openpyxl, pandas, and xlrd, focusing on data extraction, transformation, and generating reports with charts and pivot tables. Design and deploy interactive web applications using Streamlit, enabling real-time data interaction and integrating advanced analytics. Use Matplotlib and Seaborn to create charts and graphs, adding interactive features for dynamic data exploration tailored to specific business needs. Design intuitive user interfaces with PyQt or Flask, integrating data visualizations and ensuring secure access through authentication mechanisms. Perform data manipulation and exploratory analysis using Pandas and NumPy, and develop data pipelines to maintain data quality and support analytics. Write scripts to connect to external APIs, process data in JSON and XML formats, and ensure reliable data retrieval with robust error handling. Collaborate with cross-functional teams to gather requirements, provide technical guidance, and ensure alignment on project goals, fostering open communication. Should have excellent problem-solving skills and the ability to troubleshoot and resolve technical issues. Adhere to the control, governance, and development standards for intelligent solutions. Should have strong communication skills and the ability to work collaboratively with different teams. Required Qualifications, Capabilities, And Skills Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and automation. Experience with Python libraries such as Pandas, NumPy, PyQt, Streamlit, Matplotlib, Seaborn, openpyxl, xlrd, Flask, PyPDF2, pdfplumber and SQLite . Analytical, quantitative aptitude, and attention to detail. Strong verbal and written communication skills. 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. Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet. Show more Show less

MindInventory is a leading digital transformation company in Ahmedabad that helps businesses of all sizes adopt cutting-edge technologies to achieve their digital ambitions. We are committed to providing practical tech solutions that drive growth with measurable results. Experience: 3-5 Years Location: Ahmedabad, Gujarat Type: Full time, Work From Office Roles And Responsibilities Write reusable, testable, and efficient code. Design and implement of low-latency, high-availability, and performant applications. Integration of user-facing elements developed by front-end developers with server side logic. Implementation of security and data protection. Integration of data storage solutions. Performance tuning, improvement, balancing, usability, automation. Work collaboratively with design team to understand end user requirements to provide technical solutions and for the implementation of new software features. Good understanding of Python, Django and Flask. Good exposure on python scientific libraries ( Numpy, Pandas, Tensorflow). Strong knowledge on data structures and designing for performance, scalability and availability Knowledge in MongoDB and Web services. Experience in Microservices, Big data technologies will be a plus. Good grasp of algorithms, memory management and multithreaded programming. Good to have - Mysql, Redis, ElasticSearch. Able to fit in well within an informal startup environment and to provide hands-on management. High energy level and untiring commitment to drive oneself & the team towards goals. Expert in Python, with knowledge of at least one Python web framework (such as Django,Flask,etc). Should have done development on Django and other UI web Frameworks. Basic understanding HTML, CSS, JavaScript, JQuery, JS Libraries like AngularJs. Implementing SOAP based and RESTful services. UNIX/LINUX experience is an added advantage. Should have experience in Database & SQL. Good understanding of server-side templating languages such as Jinja 2, Mako, etc. Strong unit test and debugging skills. Proficient understanding of code versioning tools (such as Git, Mercurial or SVN). Skills:- Python, FastAPI and Microservices Show more Show less

About Us All people need connectivity. The Rakuten Group is reinventing telecom by greatly reducing cost, rewarding big users not penalizing them, empowering more people and leading the human centric AI future. The mission is to connect everybody and enable all to be. Rakuten. Telecom Invented. Job Description Job Title: Senior AI/ML Engineer (Generative AI & ML Ops) Minimum 8+ years of experience in AI/ML development. Location : Bangalore Required Skills And Expertise AI/ML Strategy and Leadership: Define the AI/ML strategy and roadmap aligned with the product vision. Identify and prioritize AI/ML use cases, including classical ML, Generative AI, and Agentic AI, relevant to our product offerings. Build and lead a high-performing AI/ML team by mentoring and upskilling existing non-AI/ML team members. Stay updated with the latest advancements in AI/ML, generative AI, Agentic AI and ML Ops, and apply them to solve business problems. AI/ML Development: Proficient in Python programming and libraries like NumPy, Pandas, Scikit-learn, and Matplotlib. Strong understanding of machine learning algorithms, deep learning architectures, and generative AI models. Design, develop, and deploy classical machine learning models, including supervised, unsupervised, and reinforcement learningtechniques. Hands on Experience in AI/ML Framework like: Scikit-learn, XG Boost, TensorFlow, Py Torch, Keras, Hugging Face, OpenAI APIs (e.g., GPT models). Experience with feature engineering, model evaluation, and hyperparameter tuning. Experience with Lang Chain modules, including Chains, Memory, Tools, and Agents. Build and fine-tune generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for specific use cases. Must Have Exp. in any Agentic AI framework. Leverage LLMs (e.g., GPT, Claude, LLaMA) and multi-modal models to build intelligent agents that can interact with users and systems. Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks in dynamic environments. Implement prompt engineering and fine-tuning of LLMs to optimize agent behaviour for specific tasks. Optimize models for performance, scalability, and cost-efficiency. Job Requirement MLOps And DevOps For AI/ML Establish and maintain an end-to-end MLOps pipeline for model development, deployment, monitoring, and retraining. Automate model training, testing, and deployment workflows using CI/CD pipelines. Implement robust version control for datasets, models, and code. Monitor model performance in production and implement feedback loops for continuous improvement. Proficiency in MLOps tools and platforms such as MLflow, Kubeflow, TFX, SageMaker. Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI for AI/ML workflows. Expertise in deploying models on cloud platforms (AWS, Azure, GCP) Show more Show less

Job Description Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and encouraging team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We develop a growing internal community and are committed to creating a workplace that looks like the world that we serve. Pay And Benefits Competitive compensation, including base pay and annual incentive. Comprehensive health and life insurance and well-being benefits, based on location. Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (Tuesdays, Wednesdays, and a day unique to each team or employee). The Impact You Will Have In This Role We are seeking a talented and expert Data Scientist to join our team. The ideal candidate will have expertise in Python, AI/ML, Power BI, Power Apps, Power Automate, Snowflake, Oracle, SQL, and SharePoint (knowledge is a plus), with a strong background in data analysis, machine learning, and visualization. What You'll Do Develop and deploy machine learning models to tackle complex business problems and drive decision-making. This includes tasks such as data preprocessing, feature engineering, model training, and evaluation, using techniques such as regression, classification, clustering, and deep learning. Design and implement data pipelines for data extraction, transformation, and loading using Python, Snowflake, and Oracle. This involves understanding and working with various data sources and formats, ensuring data quality and integrity throughout the process. Build and maintain interactive dashboards and reports in Power BI to visualize key metrics and trends. This includes designing visually appealing and informative visualizations for collaborators, utilizing advanced DAX calculations and custom visuals, and optimizing report performance. Apply Power BI's advanced features such as Power Query, Power Pivot, and Power View to handle large datasets efficiently and create dynamic and interactive reports. Build and optimize Power Apps solutions to automate business processes and enhance productivity. This involves understanding user requirements and designing user-friendly interfaces, using Power Apps' capabilities to streamline workflows and improve efficiency. Develop and deploy workflows and business process automations using Power Automate. This includes automating repetitive tasks, integrating systems, and orchestrating complex workflows to improve operational efficiency and reduce manual effort. Collaborate with cross-functional teams to see opportunities for leveraging data and analytics to drive business value. This involves understanding business requirements, conducting data analysis, and translating insights into actionable recommendations and solutions. Provide technical leadership and mentorship to junior team members. This includes sharing standard processes, providing guidance on technical issues, and fostering a culture of continuous learning and innovation. Education Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. Talents Needed For Success 7+ years of experience in data science, analytics, or related roles, with a focus on machine learning and data-driven decision-making. Proven experience in Python programming and machine learning techniques, with a deep understanding of algorithms and data structures. Experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch is highly preferred. Strong understanding of different machine learning algorithms and their applications, including supervised learning, unsupervised learning, and reinforcement learning. Expertise in data visualization and dashboard development using Power BI. Experience with other visualization tools such as Tableau or Qlik is a plus. Proficient in creating complex calculations, measures, and KPIs in Power BI to derive actionable insights from data. Strong proficiency in Power Apps development, including canvas apps, model-driven apps, and custom connectors. Experience in building and deploying workflows and automations using Power Automate. Hands-on experience with Snowflake and Oracle database technologies. Advanced skills in SQL programming, with experience in writing complex queries and stored procedures. Excellent analytical and problem-solving abilities, with a keen attention to detail and a passion for data-driven decision-making. Effective communication skills and ability to collaborate with cross-functional teams, translating technical concepts into business insights and recommendations. SharePoint knowledge is a plus. Nice To Have Skills Communicates openly keeping everyone across the organization advised. Strong communicator who is a self-starter and highly motivated individual Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

DESCRIPTION DESCRIPTION The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital businesses problems. Key job responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. Engage in effective technical communication (written & spoken) with coordination across teams. Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. Publish research papers in internal and external venues of repute Support on-call activities for critical issues Basic Qualifications Experience building machine learning models or developing algorithms for business application PhD, or a Master's degree and experience in CS, CE, ML or related field Knowledge of programming languages such as C/C++, Python, Java or Perl Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Proficiency in coding and software development, with a strong focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Preferred Qualifications 5+ years of building machine learning models or developing algorithms for business application experience Have publications at top-tier peer-reviewed conferences or journals Track record of diving into data to discover hidden patterns and conducting error/deviation analysis Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Exceptional level of organization and strong attention to detail Comfortable working in a fast paced, highly collaborative, dynamic work environment BASIC QUALIFICATIONS 5+ years of building machine learning models for business application experience PhD, or Master's degree and 10+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A2848605 Show more Show less

Job description Some careers shine brighter than others If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. Analytics Foundations Enabler IT team provides the required IT platform for the model developers to develop / train models and eventually deploy them in an automated way into production. Analytics Foundations Enabler IT team ensures these models are packaged such that they are exposed as ‘Model as a Service’ to be consumed by various business functions as part of their data driven decisioning use cases. We are seeking a talented and experienced POD Lead to join our dynamic team, with experience in software development and a strong background in Python, GCP, Angular, and Kubernetes. The ideal candidate will have a proven track record of technical leadership, stakeholder management, and excellent communication skills. This role will involve working closely with cross-functional teams to deliver high-quality software solutions while driving innovation and continuous improvement. In this role, you will: Lead and manage a team of software engineers, providing technical guidance, mentorship, and support to ensure the successful delivery of software projects. Collaborate with product managers, architects, and other stakeholders to define and prioritize software requirements, ensuring alignment with business objectives. Conceptualise, design, develop and reuse effective engineering design, patterns & frameworks using Python, GCP, Angular, and Kubernetes, adhering to best practices and industry standards. Foster a culture of continuous improvement, encouraging the team to identify and implement process improvements and innovative solutions. Act as an IT Service Owner and ensure compliance across Incident, Problem, Change/Release management and other associated IT controls Ensure service resilience, service sustainability and recovery time objectives are met for all the software solutions delivered. Drive operational, delivery and engineering excellence across the pod teams. Be accountable for production and for delivery. Requirements To be successful in this role, you should meet the following requirements: 12+ years of experience in software development, with a strong background in Python, Java Springboot, GCP, Angular, and Kubernetes, awareness of Model Life Cycle Management & MLOPs will be a plus. Proven experience in technical leadership, managing software development teams, and delivering complex software projects. Excellent stakeholder management and communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences. Software engineering skills: Microservice architecture patterns, frameworks like FastAPI, REST APIs and experience around API Security Standards, API Gateway, Service Mesh Devops skills: Proficiency in tools such as Docker, Kubernetes, Helm, Terraform Orchestrating data pipelines: Setting up and automating data pipelines using tools such as Airflow and familiarity with data processing technologies including NumPy, Pandas, Amazon S3, Kubeflow, Dataflow Expertise in monitoring and observability technologies like Prometheus, Appdynamics, Splunk, Jaeger, Kiali, Open Telemetry. GCP Experience around management of GKE clusters, Good to have skills: Programming, working knowledge of machine learning algorithms and frameworks, like scikit learn, PyTorch; Familiarity on industry solutions like Google Vertex AI You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY. Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte's 2020 Technology Fast 500™. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com What's the Opportunity? We're looking for a skilled Software Engineer (Python/AWS) to join our innovative team! This is a fantastic chance to contribute directly to building scalable and reliable software systems on AWS. You'll be working on core services that power our SaaS platform. If you're passionate about well-engineered software, cloud-native solutions, and using modern development tools like Cursor IDE and GitHub Copilot to boost your productivity, we want to hear from you! What will I be doing? Be a part of the team working on cutting-edge AI products in the wellness industry. Design, develop, and deploy cloud-based features using Python and relevant frameworks. Collaborate with data scientists and product managers to translate business requirements into technical solutions. Leverage data analysis techniques to extract insights and improve application functionality. Write clean, maintainable, and well-documented code. Conduct code reviews and contribute to improving code quality across the team. Stay up-to-date with the latest advancements in Python, cloud technologies, and data analysis practices. Troubleshoot and debug complex technical issues. Proactively identify and implement performance optimizations. Work effectively in a cross-functional team environment. What skills do I need? Bachelor's degree in Computer Science or IT. 4 to 6 years of overall experience as a Python developer. Experience in building solutions upon AWS cloud services. Experience in using Python data analytics frameworks like numpy, pandas and scipy is a must. Exposure to ML frameworks like Tensorflow and PyTorch will be an added advantage. Benefits Attractive Compensation & Benefits Comprehensive medical coverage for yourself and your immediate family An environment where wellbeing is high on priority – access to regular yoga, meditation, breathwork, nutrition counseling, stress management, inclusion of family for most benefit awareness building sessions Opportunities to be a part of a community and give back: Social activities are part of our culture; You can look forward to regular engagement, social work, community give-back initiatives" Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Global Business Services delivers control functions responsible for providing assurance over data and processes used to record risk, P/L, balance sheet and financial results in support of Global Markets, Corporate Treasury and Corporate Investments businesses. There are seven GMO core functions that are critical in ensuring business process control: New Business Development, Trade Capture Substantiation, P&L Validation, Risk/Position Validation, Balance Sheet Substantiation, Event Monitoring, and Front-Back Process Oversight. The QS or Quantitative Services Team is part of the GBS. The Data Science Group is involved in Development, testing and monitoring of Machine Learning Models. Job Description Associate would be involved in entire Machine Learning Development Lifecycle. Responsibilities Collaborate with stake holders and identify opportunities for leveraging huge amount of unstructured financial data. Analyze and model structured data using statistical methods and implement algorithms and software needed to perform analyses Undertake preprocessing of structured/unstructured data and analyze information to discover trends/patterns. Present information using data visualization techniques. Coordinate with different teams to implement the models and monitor outcomes. Build machine learning models to automate processes and reduce operational overhead. Perform continuous model monitoring and model support. Build processes and tools for analyzing model performance and data accuracy. Requirements Exp Range: 2- 5 years Education: Graduate Foundational Skills : Degree in Applied Math, Statistics, Computer Science or any other quantitative field from premier institutes Strong technical skills including experience using Python/R and SQL or any object-oriented languages Familiarity with various machine learning algorithms and modelling techniques e.g. Regression (Linear and logit), Classification (SVM, Naïve Bayes,etc.) Banking domain is preferred but not required. Strong analytical/math skills (e.g. statistics, algebra) Familiarity with pandas, numpy, scikit-learn & scipy Basics of Visualization tools & techniques – eg. maptlotlib Problem-solving aptitude Desired Skills :-Excellent communication and presentation skills Work Timings: 12:00 PM-9:00PM Job Location: Hyderabad

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions ͏ Responsibilities: As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes Analyze complex data using statistical and machine learning models to derive actionable insights Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding Ensure model robustness, model generalization, accuracy, testability, and efficiency Write product or system development code Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability. Communicate findings and insights effectively to stakeholders reports and visualizations. Q͏ualificatios: A Master's degree in Data Science, Statistics, Computer Science, or a related field. Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn. Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail. Superior communication skills, enabling the clear and concise presentation of complex findings. Extensive experience in Azure Databricks for data processing, model training, and deployment. Proficiency with Azure Data Lake and Azure SQL Database for data storage and management. Experience with Azure Machine Learning for model deployment and monitoring. In-depth understanding of Azure services and tools for data integration and orchestration. ͏ Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % ͏ Competencies Client Centricity Passion for Results Execution Excellence Problem Solving & Decision Making Effective communication Mandatory Skills: Python for Data Science. Experience: 5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Senior Data Scientist Gurgaon, India; Ahmedabad, India; Hyderabad, India; Noida, India Information Technology 315681 Job Description About The Role: Grade Level (for internal use): 10 The Team: As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For: 3+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315681 Posted On: 2025-05-14 Location: Gurgaon, Haryana, India

Python Developer Gurgaon, India Information Technology 316038 Job Description About The Role: Grade Level (for internal use): 10 T he Team: Financial Risk Analytics at S&P Global provides products and solutions to financial institutions to measure and manage their counterparty credit risk, market risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our products are available deployed, in the cloud or can be run as a service. We have a need for an enthusiastic and skilled Senior Python developer who is interested in learning about quantitative analytics and perhaps looking to make a career at the intersection of Financial Analytics, Big Data and Mathematics! The Impact: You will be working on a strategic component that allows clients to on-demand extract data required for pricing and risk calculations. This is an essential entry point to a risk calculation which requires speed to market and good design to drive efficient and robust workflows. What’s in it for y ou: The successful candidate will gain exposure to risk analytics and latest trending technology that allows you to grow into a hybrid role specializing in both financial markets and technology – a highly rewarding, challenging, and marketable position to gain skills in. Responsibilities: The successful candidate will work on the Market Risk solution with a technology stack that is best of breed, involving Python 3.10+, Airflow, Pandas, NumPy, ECS (AWS). You will join a fast-paced, dynamic team environment, building commercial products that are at the heart of the business and contributing directly to revenue generation. Design and implement end to end applications in Python with an emphasis on efficiently writing functions on large datasets. Interpret and analyse business use-cases and feature requests into technical designs and development tasks. Participate in regular design and code review meetings. Be a responsive team player in system architecture and design discussions. Be proud of the high quality of your own work. Always follow quality standards (unit tests, integration tests and documented code) Happy to coach and mentor junior engineers. Be delivery focused, have a passion for technology and enjoy offering new ideas and approaches. Demonstrable technical capacity in understanding technical deliveries and dependencies. Strong experience in working in software engineering projects in an Agile manner. What We’re Looking For: Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent experience Computer Science and Software Engineering: Strong software development experience Minimum 8 years' experience in developing applications using Python. Experience using Python 3.10+ Core Python with rich knowledge in OO methodologies and design. Experience writing python code that is scalable and performant. Experience/exposure to complex data types when designing and anticipating issues that impact performance (under ETL processes) by generating metrics using industry adopted profiling tools during development. Experience working on AWS, ECS, S3 and ideally MWAA (hosted Airflow on AWS) Experience working in data engineering/orchestration and scalable efficient flow design. Experience in developing data pipelines using Airflow. Good working competency in Docker, Git, Linux Good working knowledge of Pandas and NumPy Understanding of CI/CD pipelines Test frameworks. Agile and XP (Scrum, Kanban, TDD) Experience with cloud-based infrastructures, preferably with AWS. Fluent in English Passionate individual who thrives development, data and is hands on. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316038 Posted On: 2025-05-27 Location: Gurgaon, Haryana, India

Skills: 3-8 of experience with Python for data analysis and modeling. Strong understanding of machine learning fundamentals , including supervised and unsupervised techniques. Hands-on experience with ML libraries such as scikit-learn , pandas , and NumPy . Comfortable working with real-world datasets, data cleaning, and preprocessing. Curious, analytical mindset with a passion for solving research and data challenges. Ability to break down problems, explore data patterns, and assist in delivering model-driven solutions. Exposure to working with unstructured or semi-structured data (text, PDFs, etc.) is a plus. Exposure to cloud platforms (AWS, GCP, Azure). Familiarity or experience with GenAI tools such as LangChain , LangGraph , or CrewAI . Understanding or hands-on experience with LLM-based projects .

We are seeking a motivated and analytical AI Intern (Developer) to join our team for a 6-month internship. This is a unique opportunity to gain hands-on experience working on real-world AI solutions in fintech and insurance — two of the most data-rich and fast-evolving sectors. The ideal candidate should have strong expertise in Postgres database/Oracle, Express.js, React.js, and Node.js , with a focus on both front-end and back-end development. Responsibilities: Assist in developing machine learning models for use cases. Perform data cleaning, analysis, and feature engineering. Work with structured and unstructured financial/insurance, etc. data Collaborate with data engineers and domain experts to deploy AI models. Research industry trends in AI for fintech and insurance tech Document experiments, model results, and insights Conduct unit and integration testing to maintain code quality. Collaborate with cross-functional teams to deliver seamless user experiences. Troubleshoot and resolve technical issues. Manage and guide the development team effectively. Requirements: Strong Python programming skills Familiarity with ML libraries: scikit-learn, XGBoost, TensorFlow/PyTorch Understanding of supervised and unsupervised learning techniques Good with data wrangling using Pandas, NumPy, SQL Experience with NLP or OCR tools Strong analytical and problem-solving skills Strong proficiency in MERN Stack (MongoDB, Express.js, React.js, Node.js) . Experience in REST API development and integration . Ability to manage time efficiently and meet deadlines. Team player with excellent communication skills . Delivery-focused mindset with the ability to work under minimal supervision. Company: ATS Services is a leading service provider in the Indian BFSI Industry. We inculcate a work environment that promotes diversity, embraces change and provides leadership opportunities. We provide consulting, services and IT solutions to our customers in the areas of credit & risk, risk analytics, development of scorecards and segmentation models, collections for retail and B2B Customers, Insurance retention and a variety of IT solutions in the areas of credit MIS, business intelligence and business process consulting and automation. Qualification: Tech Computer/IT Applications Experience – Fresher Proficiency in Languages: English and Hindi Duration 6 months Benefits: Stipend +PF+ Insurance. 5 Days working Day Shift Location – Faridabad work from office www.servicesats.com If you are interested in above position, you can apply and appear for the interview, or you may get in touch with us as undersigned, hiring@servicesats.com

About Us : We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. We're growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology. Key Responsibilities: Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. Translate business needs into scalable scientific solutions using state-of-the-art deep learning and classical computer vision techniques. Design and implement experiments to evaluate performance, robustness, and accuracy of CV models in real-world production scenarios. Collaborate with cross-functional teams including software engineering, product, and data teams to integrate vision models into applications Drive innovation through internal IP generation (patents, publications) and contribute to the long-term AI/ML roadmap. Provide scientific and technical leadership, mentoring junior scientists and reviewing designs and architectures. Stay up to date with latest developments in AI, deep learning, and computer vision through academic and industrial research.e with industry best practices and emerging technologies to drive continuous improvement. Qualifications: M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with specialization in Computer Vision or Machine Learning. 5+ years of hands-on experience in building and deploying production-grade computer vision models. Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models). Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics. Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) is a strong plus. Strong written and verbal communication skills, with a track record of mentoring and collaboration. Preferred Qualifications: Experience with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance). Published research papers in top-tier conferences (CVPR, ICCV, NeurIPS, etc.). Exposure to MLOps or ML model lifecycle in production environments. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) and basic bash scripting.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Job Description Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Your Job As a Data Analyst in Molex's Copper Solutions Business Unit software solution group, you will be to extracting actionable insights from large and complex manufacturing datasets, identifying trends, optimizing production processes, improving operational efficiency, minimizing downtime, and enhancing overall product quality. You will be collaborating closely with cross-functional teams to ensure the effective use of data in driving continuous improvement and achieving business objectives within the manufacturing environment. Our Team Molex's Copper Solutions Business Unit (CSBU) is a global team that works together to deliver exceptional products to worldwide telecommunication and data center customers. SSG under CSBU is one of the most highly technically advanced software solution group within Molex. Our group leverages software expertise to enhance the concept, design, manufacturing, and support of high-speed electrical interconnects. What You Will Do 1. Collect, clean, and transform data from various sources to support analysis and decision-making processes. 2. Conduct thorough data analysis using Python to uncover trends, patterns, and insights. 3. Create & maintain reports based on business needs. 4. Prepare comprehensive reports that detail analytical processes and outcomes. 5. Develop and maintain visualizations/dashboards. 6. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. 7. Perform ad hoc analysis to support business decisions. 8. Write efficient and optimized SQL queries to extract, manipulate, and analyze data from various databases. 9. Identify gaps and inefficiencies in current reporting processes and implement improvements and new solutions. 10. Ensure data quality and integrity across all reports and tools. Who You Are (Basic Qualifications) B.E./B.Tech Degree in Computer Science Engineering, Information Science, Data Science or related discipline. 3-5 years of progressive data analysis experience with Python (pandas, numpy, matplotlib, OpenPyXL, SciPy , Statsmodels, Seaborn). What Will Put You Ahead . Experience with Power BI, Tableau, or similar tools for creating interactive dashboards and reports tailored for manufacturing operations. • Experience with predictive analytics e.g. machine learning models (e.g., using Scikit-learn) to predict failures, optimize production, or forecast demand. • Experience with big data tools like Hadoop, Apache Kafka, or cloud platforms (e.g., AWS, Azure) for managing and analyzing large-scale data. • Knowledge on A/B testing & forecasting. • Familiarity with typical manufacturing data (e.g., machine performance metrics, production line data, quality control metrics). At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Who We Are {Insert company language from Company Boilerplate Language Guide } At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Full Time Ahmedabad/GiftCity We are currently seeking a self-motivated, creative and talented Software Test Engineer for our Test Engineering team. An ideal candidate thrives on exposing issues and improving the quality of our state-of-the-art trading applications. Test Engineers are constantly challenged to understand complex trading systems, uncover software issues in our trading platform through testing, provide feedback that can help enhance our end-user experience, and provide information about usability to stakeholders in the organization. What Will You Be Involved With? Design, develop and execute test plans and test cases based on software requirements and technical design specs. Assist in reproducing, investigating and debugging software issues in coordination with the Development team. Recommend product improvements, usability enhancements or corrections in coordination with the Product Management team. Collaborate with a team of testers to constantly improve and enhance each other’s skill sets and arsenal of test tools. Design and Update the automation framework to support new features or fix automation issues. Manually test new features thoroughly before automation is developed Responsible for testing product releases via a combination of system-level automated and manual tests. What You Bring to the Table 2+ years of experience with testing multi-asset (Futures, Equities, Fixed Income, FX) trade analytics applications. 3+ years experience in developing and executing automated tests or scripts using Python (with libraries such as Pandas, NumPy, etc), or R or similar programming languages, to ensure data accuracy, and integrity. Extensive experience with testing cloud-based systems (AWS) and cloud-native databases, particularly Snowflake. In-depth knowledge of pre- and post-Trade TCA, SEC & FINRA rule compliance, liquidity risk, MiFID II, and PRIIPs analytics is highly advantageous. Expertise in performance and load testing for SQL queries, data pipelines, and scripts handling large datasets. Strong understanding of the software development lifecycle (SDLC), test engineering principles, and agile methodologies. What We Bring to the Table Competitive benefits, including medical, dental, vision, Flexible work schedules – with hybrid work – the expectation of 2 days on-site 21 PTO (paid time off) days per year with the ability to roll over days into the following year, 1 day per year available for volunteering, 2 Training days per year to allow uninterrupted professional development, 1 additional PTO day added during milestone year, a robust paid holiday schedule with early dismissal, and generous parental leave (for all genders and staff, including adoptive parents) Tech resources, including, a “rent-to-own” program where employees are eligible for a company-provided Mac/PC laptop and/or mobile phone of their choice; and a tech accessories budget for monitors, headphones, keyboards, office equipment, etc. Subsidy contributions toward gym memberships and health/wellness initiatives Milestone anniversary bonuses Forward-thinking, a culture-based organization with collaborative teams that promote diversity and inclusion Trading Technologies is a Software-as-a-Service (SaaS) technology platform provider to the global capital markets industry. The company’s award-winning TT® platform connects to the world’s major international exchanges and liquidity venues in listed derivatives alongside a growing number of asset classes, including fixed income and cryptocurrencies. The TT platform delivers advanced tools for trade execution and order management, market data solutions, analytics, trade surveillance, risk management, and infrastructure services to the world’s leading sell-side institutions, buy-side firms, and exchanges. The company’s blue-chip client base includes Tier 1 banks as well as brokers, money managers, hedge funds, proprietary traders, Commodity Trading Advisors (CTAs), commercial hedgers, and risk managers. These firms rely on the TT ecosystem to manage their end-to-end trading operations. In addition, exchanges utilize TT’s technology to deliver innovative solutions to their market participants. TT also strategically partners with technology companies to make their complementary offerings available to Trading Technologies’ global client base through the TT ecosystem. Trading Technologies (TT) is an equal-opportunity employer. Equal employment has been, and continues to be, a required practice at the Company. Trading Technologies’ practice of equal employment opportunity is to recruit, hire, train, promote, and base all employment decisions on ability rather than race, color, religion, national origin, sex/gender orientation, age, disability, sexual orientation, genetic information or any other protected status. Additionally, TT participates in the E-Verify Program for US offices.

Key Responsibilities: Develop and implement machine learning models and algorithms for various business use cases. Preprocess and analyze structured and unstructured data (text, image, video, etc.). Collaborate with cross-functional teams to integrate AI models into production systems. Conduct model validation, tuning, and performance evaluation. Stay up-to-date with the latest research and trends in AI and ML. Document processes and maintain clear version control using tools like Git. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field. 1–2 years of hands-on experience in machine learning, deep learning, or AI projects. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Understanding of REST APIs and deploying models via Flask/FastAPI or similar frameworks. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. Preferred Qualifications: Experience with NLP, Computer Vision, or Time Series forecasting. Knowledge of databases (SQL/NoSQL) and data pipelines. Contributions to open-source or AI/ML competitions (Kaggle, etc.). Familiarity with MLOps tools (e.g., MLflow, Docker, Kubernetes) is a bonus. Soft Skills: Strong analytical and problem-solving abilities. Effective communication and collaboration skills. Curious, self-driven, and eager to learn. What We Offer: Competitive salary and benefits. Mentorship and opportunities for skill development. A collaborative and dynamic work environment. Job Type: Full-time Pay: ₹400,000.00 - ₹800,000.00 per year Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person