Description And Requirements CareerArc Code CA-DN Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for a Senior Java Developer, an innovator at heart, to join us and design, develop, and implement complex applications, using the latest technologies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: You will play a pivotal role in the design, development, and delivery of the BMC Helix Suite. You will collaborate with cross-functional teams, including Product Management, Architects, Quality Engineering, and DevSecOps, to lead initiatives that align with our vision of creating intelligent, customer-centric solutions. This role is ideal for a highly skilled technologist passionate about creating scalable, high-performance SaaS products in a fast-paced, Agile environment. security processes, ensuring compliance with industry regulations You will play important role in development of core features and modules for the Helix ITSM platform, design and implementation of microservices using modern frameworks and technologies like Java, Spring Boot, Kubernetes, and RESTful APIs. Ensure high-quality code by adhering to best practices and industry standards. Collaborate with Product Managers to understand requirements and align technical solutions with business goals. Work closely with Quality Engineers to define robust testing strategies, including automated and performance testing. Drive innovation through R&D, focusing on enhancing AI-driven capabilities in areas like predictive analytics and automation. Analyze and resolve complex technical issues, ensuring scalability and performance of the product. Collaborate with DevSecOps teams to ensure seamless CI/CD pipelines and maintain product security standards. Participate in product deployment, upgrade, and security processes, ensuring compliance with industry regulations. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8+ years in software development, with at least 2+ years as Senior Developer or equivalent. You are Proficient in Java (11+/17+), Spring Boot, RESTful API development, and Microservices architecture. with open-source Java frameworks such as OSGI, Spring, Hibernate, Maven, JSecurity, JMS, JPA, JTA, JDBC. You are experienced in designing and developing complex framework and platform solutions with practical use of design patterns. You have expertise with unit/integration testing, test driven development and related modern best practices/technologies You are experienced with server-side issues such as caching, clustering, persistence, security, SSO, state management, high scalability/availability, and failover. You have experience in implementing Business Process Management software and integrating complex enterprise systems. You are experienced with PostgreSQL, Oracle or MS-SQL databases and Aspect oriented architectures. Good understanding of web services and SOA standards like REST, SOAP, XML, etc. and microservices architecture, including Kubernetes, Docker and Kafka. You are experienced in open-source participation and Apache projects, patent process, in depth knowledge of App server architectures and SaaS or PaaS enabling platforms is a big plus. Hands-on experience with container orchestration tools like Kubernetes and Docker. Knowledge of DevSecOps tools (e.g., Jenkins, Terraform, Helm, Ansible) and security practices. Experience/knowledge with Networking & Web Communication protocols, Kaazing Gateway or equivalent is a big plus. Security: Authentication and Authorization: Experience with OAuth, SAML, or similar identity management systems. Encryption: Knowledge of TLS/SSL protocols to secure WebSocket communication. Firewall and Network Security: Understanding how to secure WebSocket connections in an enterprise environment. Whilst these are nice to have, our team can help you develop in the following skills: Familiarity with cloud platforms (AWS, Azure, GCP) and SaaS environments. Experience with AI/ML integration in SaaS applications. Knowledge of ITIL/ITSM processes and tools. Certifications: SAFe Agilist, AWS Cloud Practitioner, or equivalent. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 3,315,400 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Min salary 2,486,550 Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. Mid point salary 3,315,400 Max salary 4,144,250 Show more Show less

Analyst – MySQL Database Administration Job Description: · Install, configure, maintain, and database systems, schema, tables, indexes, procedures, and permissions. · Create backup / recovery of databases for MySQL . · Ensure SQL Transactional Replication (Create / monitor / resolve) is occurring successfully. · Conduct regular performance tuning, indexing, and normalization of database systems . · Develop and test SQL scripts for task automation and reporting. · Install/Migrate/Administrate MySQL to MariaDB. · Ensure server downtime resulting from maintenance and improvements are limited to non-production hours whenever possible. · Db patching and db. upgrade/migrate. Resource monitoring and requirement analysis. Position Requirements: · Bachelor’s degree in information technology, Computer Science or other related discipline a plus. · Minimum of 5 years of experience in database administration, specifically in MySQL alone. · Must have knowledge on MySQL Installation and Replication · Thorough training and demonstrated analytical and technical skills in installing, configuring, integrating and administering MySQL within the Linux / LAMP stack. · Experience including, but not limited to, MySQL, MariaDB, Linux RedHat, Apache, and PHP or other scripting languages. · Hands-on experience supporting Highly Available (HA) database environments with solutions such as clustering. This should include supporting a (3) node MySQL cluster. · Excellent written and verbal communication skills. · Ability to work as a team member in a fast-paced environment. · Ability to manage and communicate project tasks, status, and deadlines. · Looking only for immediate joiner. · Candidate should be within Pune location. · Should be ready to do work from office and US Shift. Additional Qualifications: · Experienced in working within a multi-tiered architecture environment, supporting B2B and/or hosting operations. · Experience with open-source software, including LAMP software bundle. · Working knowledge in NoSQL/MongoDB Show more Show less

About Us: Traya is an Indian direct-to-consumer hair care brand platform provides a holistic treatment for consumers dealing with hairloss. The Company provides personalized consultations that help determine the root cause of hair fall among individuals, along with a range of hair care products that are curated from a combination of Ayurveda, Allopathy, and Nutrition. Traya's secret lies in the power of diagnosis. Our unique platform diagnoses the patient’s hair & health history, to identify the root cause behind hair fall and delivers customized hair kits to them right at their doorstep. We have a strong adherence system in place via medically-trained hair coaches and proprietary tech, where we guide the customer across their hair growth journey, and help them stay on track. Traya is founded by Saloni Anand, a techie-turned-marketeer and Altaf Saiyed, a Stanford Business School alumnus. Our Vision: Traya was created with a global vision to create awareness around hair loss, de-stigmatise it while empathizing with the customers that it has an emotional and psychological impact. Most importantly, to combine 3 different sciences (Ayurveda, Allopathy and Nutrition) to create the perfect holistic solution for hair loss patients. Responsibilities: Data Analysis and Exploration: Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies. Perform exploratory data analysis (EDA) to understand data distributions, relationships, and quality. Machine Learning and Statistical Modeling: Develop and implement machine learning models (e.g., regression, classification, clustering, time series analysis) to solve business problems. Evaluate and optimize model performance using appropriate metrics and techniques. Apply statistical methods to design and analyze experiments and A/B tests. Implement and maintain models in production environments. Data Engineering and Infrastructure: Collaborate with data engineers to ensure data quality and accessibility. Contribute to the development and maintenance of data pipelines and infrastructure. Work with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop). Communication and Collaboration: Effectively communicate technical findings and recommendations to both technical and non-technical audiences. Collaborate with product managers, engineers, and other stakeholders to define and prioritize projects. Document code, models, and processes for reproducibility and knowledge sharing. Present findings to leadership. Research and Development: Stay up-to-date with the latest advancements in data science and machine learning. Explore and evaluate new tools and techniques to improve data science capabilities. Contribute to internal research projects. Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 3-5 years of experience as a Data Scientist or in a similar role. Leverage SageMaker's features, including SageMaker Studio, Autopilot, Experiments, Pipelines, and Inference, to optimize model development and deployment workflows. Proficiency in Python and relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch). Solid understanding of statistical concepts and machine learning algorithms. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience deploying models to production. Experience with version control (Git) Preferred Qualifications: Experience with specific industry domains (e.g., e-commerce, finance, healthcare). Experience with natural language processing (NLP) or computer vision. Experience with building recommendation engines. Experience with time series forecasting. Show more Show less

We are looking for an enthusiastic Machine Learning Engineer to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimisation of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques, computer vision techniques for auto-verifications, running large-scale bandit experiments to optimize Razorpay’s merchant facing web pages at scale, and many more. In addition to this, we expect the MLE to be adept at productionising ML models using state-of-the-art systems. As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists/product leaders in the industry and have the opportunity to solve complex and critical problems for Razorpay. As a Senior MLE, you will also have the opportunity to partner with and be mentored by senior engineers across the organization and lay the foundation for a world-class DS team here at Razorpay. You come and work with the right attitude, fun and growth guaranteed! Required qualifications 5+ years of experience doing ML in a production environment and productionising ML models at scale Bachelors (required) or Masters in a quantitative field such as Computer science, operations research, statistics, mathematics, physics Familiarity with basic machine learning techniques : regression, classification, clustering, model metrics and performance (AUC, ROC, precision, recall and their various flavors) Basic knowledge of advanced machine learning techniques : regression, clustering, recommender systems, ranking systems and neural networks Expertise in coding in python and good knowledge of at least one language from C, C++, Java and at least one scripting language (perl, shell commands) Experience with big data tools like Spark and experience working with Databricks / DataRobots Experience with AWS’ suite of tools for production-quality ML work, or alternatively familiarity with Microsoft Azure / GCP Experience deploying complex ML algorithms to production in collaboration with engineers using Flask, MLFlow, Seldon, etc. Good to have: Excellent communication skills and ability to keep stakeholders informed of progress / blockers Show more Show less

The Role: We are looking for an enthusiastic Senior Data Scientist to join our growing team. The hire will be responsible for working in collaboration with other data scientists and engineers across the organization to develop production-quality models for a variety of problems across Razorpay. Some possible problems include : making recommendations to merchants from Razorpay’s suite of products, cost optimization of transactions for merchants, automatic address disambiguation / correction to enable tracking customer purchases using advanced natural language processing techniques. As part of the DS team @ Razorpay, you’ll work with some of the smartest engineers/architects/data scientists in the industry and have the opportunity to solve complex and critical problems for Razorpay. Responsibilities: Apply advanced data science, mathematics, and machine learning techniques to solve complex business problems. Collaborate with cross-functional teams to design and deploy data science solutions. Analyze large volumes of data to derive actionable insights. Present findings and recommendations to stakeholders, effectively communicating complex concepts. Identify key metrics, conduct exploratory data analysis, and create executive-level dashboards. Manage multiple projects in a fast-paced environment, ensuring high-quality deliverables. Train and maintain machine learning models, utilizing deep learning frameworks and big data tools. Continuously improve solutions, evaluating their effectiveness and optimizing performance. Deploy data-driven solutions and effectively communicate results to stakeholders. Mandatory Qualifications: 5+ years experience working with machine learning in a production environment. Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Operations Research, Statistics, Mathematics, Physics). Strong knowledge of fundamental machine learning techniques, such as regression, classification, clustering, and model evaluation metrics. Proficiency in Python and familiarity with languages like C, C++, or Java. Experience with scripting languages like Perl and command-line Unix is a plus. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch) and big data tools like Spark, and 2-3 years experience in building production-quality machine learning code on platforms like Databricks Experience with AWS / GCP / Microsoft Azure for building production quality ML models and systems Ability to conduct end-to-end ML experimentation, including model experimentation, success reporting, A/B testing, and testing metrics. Excellent communication skills and the ability to keep stakeholders informed of progress and potential blockers. Show more Show less

Job Title: AI/ML Developer – (Intern) Company: VASPP Technologies Pvt. Ltd. Location: Bengaluru, Karnataka, India Job Type: Full-Time Experience: Fresher (0–1 year) Department: Technology / Development About VASPP Technologies: VASPP Technologies Pvt. Ltd. is a fast-growing software company focused on delivering cutting-edge digital transformation solutions for global enterprises. Our innovative projects span across AI/ML, data analytics, enterprise solutions, and cloud computing. We foster a collaborative and dynamic environment that encourages learning and growth. Job Summary: We are seeking a motivated and enthusiastic AI/ML Developer – Fresher to join our growing technology team. The ideal candidate will have a foundational understanding of machine learning algorithms, data analysis, and model deployment. You will work closely with senior developers to contribute to real-world AI/ML projects and software applications. Responsibilities: ·Assist in the design, development, training, and deployment of AI and machine learning models. Collaborate with cross-functional teams including software engineers, data scientists, and product managers to build intelligent applications. Perform data collection, cleaning, transformation, and exploratory data analysis (EDA). Test various ML algorithms (e.g., classification, regression, clustering) and optimize them for performance. Implement model evaluation metrics and fine-tune hyperparameters. Contribute to integrating ML models into software applications using REST APIs or embedded services. Stay updated with the latest AI/ML frameworks, research papers, and industry trends. Document all work including model development, experiments, and deployment steps in a structured format. Required Skills: Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Solid understanding of machine learning principles: supervised/unsupervised learning, overfitting, cross-validation, etc. Familiarity with data visualization tools: Matplotlib, Seaborn, Plotly. Basic knowledge of SQL and working with relational databases. Good understanding of software development basics, version control (Git), and collaborative tools. Strong problem-solving mindset, eagerness to learn, and ability to work in a team environment. Educational Qualification: Bachelor’s degree in Computer Science , Information Technology , Data Science , Artificial Intelligence , or related fields from a recognized institution. Preferred Qualifications (Optional): Internship or academic projects related to AI/ML. Participation in online competitions (e.g., Kaggle, DrivenData) or open-source contributions. Exposure to cloud platforms like AWS, Google Cloud (GCP), or Microsoft Azure. Familiarity with model deployment techniques using Flask/FastAPI, Docker, or Streamlit. Compensation: CTC/ Stipend: 5000 or 8000 rs per month How to Apply: Send your updated resume and portfolio to: Email: piyush.vs@vaspp.com or aparna.bs@vaspp.com Job Type: Internship Contract length: 2 months Pay: ₹5,000.00 - ₹8,000.00 per month Benefits: Paid sick time Work from home Schedule: Monday to Friday Morning shift Application Question(s): This is an 2 month Internship and the stipend will be based on performance and interview process so, is it okay for you ? Education: Bachelor's (Preferred) Experience: AI: 1 year (Preferred) Language: English (Preferred) Location: Bangalore, Karnataka (Required) Work Location: In person Application Deadline: 14/06/2025

Job Title: Specialty Development Practitioner Job Description: We are seeking an experienced and highly analytical Senior Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Skills Required: Statistics, Machine Learning, Data Science, Problem Solving, Analytical, Communications Skills Preferred: GCP, Google Cloud Platform, Mechanical Engineering, Cost Analysis Experience Required: 5+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information : Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Education: Bachelor's (Required) Experience: Data science: 5 years (Required) Location: Chennai, Tamil Nadu (Required) Work Location: In person

Role: Senior Analyst - Data Engineering Experience: 3 to 6 years Location: Bengaluru, Karnataka , India (BLR) Job Descrition: We are seeking a highly experienced and skilled Senior Data Engineer to join our dynamic team. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Job Resonsbilities: Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning Models: Supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI Techniques: Natural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, etc. Databases: Snowflake, Teradata, SQL, NoSQL databases. Programming Languages: Python (essential), R, SQL. Python Libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data Processing: ETL processes, data warehousing, data lakes. Cloud Platforms: AWS, Azure, Google Cloud Platform. Big Data Technologies: Apache Spark, Hadoop. Job Snapshot Updated Date 11-06-2025 Job ID J_3679 Location Bengaluru, Karnataka, India Experience 3 - 6 Years Employee Type Permanent

Job Information Date Opened 06/11/2025 Job Type Full time Industry Technology Work Experience 4-5 years City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560102 About Us Lifesight is a fast-growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Job Description Job Description: Data Scientist ( 4-6 Years ) Location : Bangalore Company Overview Lifesight is a fast growing SaaS company focused on helping businesses leverage data & AI to improve customer acquisition and retention. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia and the UK. Our mission is to make it easy for non-technical marketers to leverage advanced data activation and marketing measurement tools that are powered by AI, to improve their performance and achieve their KPIs. Our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Our unified marketing measurements platform empowers modern marketers to make better decisions using Multi-Touch Attribution , Marketing Mix Modelling , Incrementality Testing , and Causal AI . Position Overview: At Lifesight, we rely on insightful data to power our systems and solutions. We’re seeking a data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future. Objectives of this role Collaborate with product design and engineering teams to develop anunderstanding of needs. Research and devise innovative statistical models for data analysis and communicate findings to all stakeholders Enable smarter business processes by using analytics for meaningful insights Keep current with technical and industry developments What you’ll do.. Execute analytical experiments to help solve problems across various domains and industries Analyse data for trends and patterns, and interpret data with clear objectives in mind Implement analytical models in production by collaborating with software developers and machine-learning engineers Requirements You are perfect for the role if you have… Statistical Knowledge Understanding of probability theory, distributions and statistical inference Regression analysis (linear, non-linear, multivariate) Time series analysis / forecasting Bayesian statistics Hypothesis testing Experimental design Understanding of overfitting, underfitting, and regularization techniques Machine Learning Supervised learning algorithms Unsupervised learning (clustering, dimensionality reduction) Feature engineering and selection Model evaluation and validation techniques Programming Skills Proficiency in Python or R What’s in it for you... As a team, we are concerned with not only the growth of the company but each other’s personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products.3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 6. Great benefits - apart from competitive compensation & benefits Above all - a “fun” working environment. Team Vibes & Real SQL for database querying Specialized Knowledge Understanding of causal inference Understanding of adstock, decay, and saturation concepts Cloud computing platforms (e.g., AWS, GCP) Preferred skills and qualifications Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline 4-6 years of experience as a Data Scientist Benefits What’s in it for you... As a team, we are concerned with not only the growth of the company but each other’s personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 5. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 6. Great benefits - apart from competitive compensation & benefits Above all - a “fun” working environment.

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Job Description At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us. The Boeing Company is looking for an Experienced Data Scientist who can play lead role in developing and building next generation AI & ML products and services. As part of the core data science group, candidate will lead project teams in developing innovative, reusable, and scalable solutions. This position will work effectively with cross-functional teams and technical leads to determine, define, and deploy analytics solutions to meet business goals. At Boeing, we are already making a difference across the industry using AI and Machine Learning to deliver superior product experience to our internal functions and commercial and government customers. We are expanding and growing in all areas in the frontier of the aerospace industry. We already have some of the best minds and talent in this field, and we’re looking for someone with applied experience in AI and ML (including Natural Language Processing, Deep Learning, Conversational A.I, and Computer Vision) to join our team in this lead data scientist role. This role is based out of Bengaluru, Karnataka , INDIA. Position Responsibilities: Evaluate business objectives, determine stakeholder needs, and identify requirements. Choose best fit methods, define algorithms, validate, and deploy models to achieve business results. Perform necessary data preparation and enhancements to models. Responsible for development & delivery of core data science and analytics solutions. Candidate should have strong expertise in statistics, AI and ML theories/concepts, and good domain expertise (either in Aircraft Operations, Engineering, supply chain, sales or Manufacturing), completely understands and applies job practices, techniques, standards, principles, theories, and concepts. Strong programming skills in Python/Java. Should have worked minimum of 5+ years in image processing and computer vision or related domain. Candidate will interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting Aircraft operations, Engineering, Manufacturing, Quality, and Safety. Candidate will work with data scientist leads across domains to ensure functional excellence in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base. In particular, candidate will provide thought leadership for machine learning and advanced analytics methods at Boeing and externally. Candidate will actively engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value. Candidate will evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics organization. Candidate will have a stake in ensuring analytics solutions meet the business requirements and are implemented in a timely manner to validate business value. ML/AI Models Development: Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation. Identify modeling attributes and parameters. Follow best practices and standard processes for model validation and refinement as per business requirements. Assess performance of models and analysis and confirm that business objectives were met. Work with business unit stakeholders to develop and sustain analytics solutions. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): 5+ years of relevant work experience as Data Scientist in core areas of computer vision, NLP, GenAI. Experience in various machine learning method such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, SVM, deep learning, reinforcement learning, etc. Experience with machine learning related open source libraries including, but not limited to: SciKit-Learn, Keras, TensorFlow, Theano, etc. Preferred Qualifications (Desired Skills/Experience): Experience in agile and product-oriented development. Up-to-date industry and experience in building ML models and bring in to full production use. Background in developing customer-facing experiences, a strong technical ability, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced production environment Experience training machine learning models in a cloud computing environment such as: Amazon Web Services, Google Cloud Platform, Microsoft Azure, etc. Programming experience in one or more of the following: C, C++, Java, Python, Scala. Experience with statistical software (e.g., R, MATLAB) and database languages (e.g., SQL). Experience and knowledge in DevOps for Data Science. Strong team player and passion to execute projects with a focus on customer and value. Knowledge of advance statistics (probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods, etc.) Typical Education & Experience: Typically, 8 or more years’ related work experience or relevant military experience. Advanced degree (e.g. Bachelor, Master, etc.) preferred, but not required. Relocation: This position does offer relocation within INDIA. Applications for this position will be accepted until Jun. 25, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Key Skills : PostgreSQL, Pl/SQL Education Qualification : Any Graduate Minimum Years of Experience : 3+ Years Type of Employment : Permanent Job Description : Our dynamic and growing company is actively seeking an experienced PostgreSQL Database Developer to join our team. As a PostgreSQL Database Developer, you will play a crucial role in designing, implementing, and maintaining our database systems. The ideal candidate should have a strong background in database development, performance optimization, and data modeling. Job Responsibilities Responsible to design, implement, and maintain database schemas in PostgreSQL and perform data modeling to ensure efficiency, reliability, and scalability. Responsible to optimize and tuneSQL queries for improved performance , and also identify and resolve performance bottlenecks in database systems. Responsible to manage data migration and integration processes between different systems and ensure data consistency and integrity during the migration process. Responsible to develop and maintain stored procedures, functions, and triggers to support application requirements and Implement business logic within the database layer. Responsible to Implement and maintain database security policies and manage user roles, permissions, and access control within the database. Responsible to implement and oversee database backup and recovery processes and also ensure data availability and reliability. Responsible to collaborate with cross-functional teams, including application developers, system administrators, and business analysts, to understand database requirements. Responsible to create and maintain documentation related to database design, processes, and best : Bachelors degree in Computer Science, Information Technology, or a related field. Proven experience as a Database Developer with a focus on PostgreSQL. In-depthknowledge of database design principles, normalization, and data modeling. Strong proficiency in writing and optimizing SQL queries. Experience with performance tuning and query optimization techniques. Familiarity with database security best practices and access control. Hands-on experience with data migration, integration, and ETL processes. Proficiency in scripting languages (e.g., Python, Bash) for automation tasks. Knowledge of backup and recovery processes. Excellent communication and collaboration skills. Ability to work independently and as part of a Skills : Experience with PostgreSQL replication and clustering. Familiarity with NoSQL databases. Knowledge of cloud database solutions (e.g., AWS RDS, Azure Database for PostgreSQL). Understanding of DevOps practices and tools (ref:hirist.tech) Show more Show less

Key Responsibilities Design, develop, and maintain ETL/ELT workflows using Talend Data Integration tools. Implement and optimize data pipelines to ingest, transform, and load data into Snowflake. Collaborate with data analysts, architects, and business stakeholders to gather requirements and translate them into technical specifications. Monitor data pipelines for performance and reliability, and troubleshoot issues as needed. Develop and maintain technical documentation related to ETL processes and data models. Perform data quality checks and ensure data governance policies are followed. Optimize Snowflake warehouse performance and storage costs through partitioning, clustering, and query tuning. Support the migration of legacy ETL processes to Skills & Qualifications : 4+ years of experience with Talend Data Integration (preferably Talend Open Studio or Talend Enterprise). 2+ years of hands-on experience with Snowflake data warehouse platform. Proficient in SQL, data modeling, and performance tuning. Experience with cloud platforms (AWS, Azure, or GCP) and cloud data ecosystems. Strong understanding of data warehousing concepts, ETL best practices, and data governance. Experience in working with APIs, flat files, and various data sources/formats. Familiarity with version control systems (e.g., Git) and CI/CD pipelines for data workflows. Excellent communication and collaboration skills. (ref:hirist.tech) Show more Show less

About This Role About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 300 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Description We are looking for a person to join the Advanced Data Analytics team with AFE Single Security. Advanced Data Analytics is a team of Quantitative Data and Product Specialists, focused on delivering Single Security Data Content, Governance and Product Solutions and Research Platform. The team leverages data, cloud, and emerging technologies in building an innovative data platform, with the focus on business and research use cases in the Single Security space. The team uses various statistical/mathematical methodologies to derive insights and generate content to help develop predictive models, clustering, and classification solutions and enable Governance. The team works on Mortgage, Structured & Credit Products. We are looking for a person to help build and expand Data & Analytics Content in the Credit space. The person will be responsible for building, enhancing, and maintaining the Credit Content Suite. The person will work on the below – Credit Derived Data Content Model & Data Governance Credit Model & Analytics Experience Experience on Scala Knowledge of ETL, data curation and analytical jobs using distributed computing framework with Spark Knowledge and Experience of working with large enterprise databases like Snowflake, Cassandra & Cloud manged services like Dataproc, Databricks Knowledge of financial instruments like Corporate Bonds, Derivatives etc. Knowledge of regression methodologies Aptitude for design and building tools for Data Governance Python knowledge is a plus Qualifications Bachelors/master's in computer science with a major in Math, Econ, or related field 3-6 years of relevant experience Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role: Our team supports the Global PayPal Corporate Infrastructure systems environment. PayPal has offices around the world and our team reflects this global support need. We are seeking a Systems Engineer to join the team. You will play a key part in designing, supporting and optimizing our infrastructure with a strong focus in Azure Public Cloud. Effectively administering and supporting Windows, Linux, Virtualization, Azure Clustering and Azure Cloud Operations, among other technologies, will be a significant part of your role. Meet our team: We are a team of experienced Systems Engineers, dispersed globally across North America, Ireland, India and Shanghai. The team provides both local time zone and 24x7 on-call support with a shared pager rotation. Each team member has one or more special technical skill sets, and we regularly engage in cross-team training to reduce knowledge silos to promote professional growth and career development. Job Description: Your way to impact: Maintain a consistent mindset around efficiency and automation. If we must perform a task more than once, we automatically start thinking about how we can automate all or some of the process. There is a strong culture of collaboration across the team. We consistently help each other out and have each other’s backs. You are expected to participate in this collaboration and help strengthen this bond. Time management is critical. You will need to effectively divide your day between project outcomes and RTB (Run-The-Business) tasks. Serve as an SME for your area(s) of expertise. Find regular opportunities to train others to be a role backup, promoting a comfortable work life balance for all. Consistency in execution, follow-up, and issue closure. Your day to day: Each day is invariably different as a variety of tasks and challenges come up on a regular basis. You will collaborate closely with our internal business partners to solve RTB tasks and other support teams when encountering new, unforeseen issues. Work with Solutions Engineering and Application Owners to apply accepted deployment standards to properly onboard, architect and deploy applications to operate in a reliable fashion. What do you need to bring: A self-motivated team player who thrives in a fast-paced, goal-driven environment 5+ years’ experience in Enterprise infrastructure support Extensive knowledge of VMware and Nutanix virtualization technologies. Proficiency in networking, security, storage, and DNS at an enterprise scale. Scripting and automation skills with Ansible, Terraform, Bash, PowerShell, Perl, or PHP. Experience with CI/CD pipelines and infrastructure automation Excellent verbal and written communication skills, with the ability to document processes clearly. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0126076 Show more Show less

Description Mine and analyse data to identify patterns and correlations among the various data points. Perform end-to-end analysis across all digital touchpoints, including data gathering from large and complex data sets, data processing, and analysis. Conduct in-depth analysis of user behaviour, customer journeys and other relevant metrics to understand the effectiveness of digital initiatives and identify areas for improvement. Present findings from analytics and research and make recommendations to business teams. Requirements Must Have : 3-5 years of experience working in the field of analytics, reporting out metrics and deep dive analytics. Strong proficiency with Advanced SQL (Windows Functions, DML, DDL Commands, CTES, Sub Queries,etc) for data analysis and building end to end data pipelines. Ability to write complex queries and understanding of database concepts. Strong analytical problem-solving skills and an aptitude for learning quickly. Expert in data analysis and presentation skills. Exceptional communication and collaboration skills Critical Thinking and ability to think beyond the obvious Nice To Have Experience in web analytics and tools like (Adobe Omniture, Google analytics etc) Experience with programming languages like Python & Unix Shell for data pipeline automation and analysis. Knowledge of statistics concepts and Machine learning algorithms like regression, clustering etc. Education Bachelors with Post-Graduation in Management Science and related fields. 2 - 4 years of relevant experience in analytics organizations of large corporates or in consulting companies in analytics roles. Benefits What a Consulting role at Thoucentric will offer you? Opportunity to define your career path and not as enforced by a manager A great consulting environment with a chance to work with Fortune 500 companies and startups alike. A dynamic but relaxed and supportive working environment that encourages personal development. Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group. Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well. (ref:hirist.tech) Show more Show less

Requisition Id : 1615917 The opportunity EY is looking for Manager Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your key responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible Show more Show less

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact - Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 5 years of experience in PySpark - This position is based at our Chennai office - A 15 years full-time education is required Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist with the data platform blueprint and design. - Collaborate with Integration Architects and Data Architects. - Ensure cohesive integration between systems and data models. - Implement data platform components. - Troubleshoot and resolve data platform issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full time education is required. Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Assist with the data platform blueprint and design. - Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. - Develop and maintain data platform components. - Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Chennai office. - 15 years full time education is required. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools and Cloud AI services. You will create cloud or on-prem application pipelines with production-ready quality, applying GenAI models and technologies like deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Develop applications and systems utilizing AI tools and Cloud AI services. - Create cloud or on-prem application pipelines with production-ready quality. - Apply GenAI models as part of the solution. - Implement deep learning and neural networks technologies. - Design and develop chatbots and image processing solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Machine Learning Operations. - This position is based at our Bengaluru office. - A 15 years full-time education is required. Show more Show less

The world's top banks use Zafin's integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin's platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty. Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value. The world's top banks use Zafin's integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin's platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty. Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value.Zafin is privately owned and operates out of multiple global locations including North America, Europe, and Australia. Zafin is backed by significant financial partners committed to accelerating the company's growth, fueling innovation and ensuring Zafin's enduring value as a leading provider of cloud-based solutions to the financial services sector. Zafin is proud to be recognized as a top employer. In Canada, UK and India, we are certified as a "Great Place to Work". The Great Place to Work program recognizes employers who invest in and value their people and organizational culture. The company's culture is driven by strategy and focused on execution. We make and keep our commitments. What is the opportunity? Reporting to the Senior Vice President, the Senior Technology and Integration Services, the Integration Consultant will work in multiple client-facing projects to enable SaaS onboarding. You will act as the technical go-to person for SaaS onboarding and a thought leader on Zafin integration paradigms and its best practices across multiple cloud platforms. You will have ample opportunities to field your best communication, technical, and organizational skills to take a SaaS project from initiation to go-live. You will represent client interests internally to enhance process, product, documentation, and delivery experience. You will interact with senior technical leaderships on the client-side and present and align them with solution approaches. You will interact with multiple internal stakeholders to achieve alignment across various project goals and delivery targets. Location: India . What will you do? Interact and collaborate with customers and partners to define the integration landscape. Define the logical sequence of integration activities for a SaaS onboarding project. Coordinate with the product development team to implement recommended integration strategies. Improve overall project delivery experience and go-live time by improving process and documentation. Support cloud infrastructure and system components required for integration. Lead the identification, isolation, resolution, and communication of issues within a client environment. What do I need to succeed? Must have: Worked on at least one end to end SaaS implementation project. 7+ years of application and data integration experience. Experience with clustering and high availability configurations. Agile experience. Designed an end-to-end scalable microservices-based integration solution. Broad exposure to different technology stacks involved in a SaaS delivery model. Broad and in-depth knowledge of: Microservices design patterns , service orchestration, and inter-service communication (REST, gRPC, message queues). data integration concepts and tools network protocol stacks and related integration paradigms security postures in integration technology stacks API design and API based integration Azure , AWS and GCP public cloud platforms and provided services and their integration approaches Integration frameworks used by SaaS Strong knowledge and experience with the Kafka Connect Framework including working with multiple connector types: HTTP, RESTful APIs, JMS. Skilled technical documenter. Solution designer at heart. Experience in using modeling tools to create effective architecture views. Strong organizational, analytical, critical thinking, and debugging skills. Excellent communication skills. Ability to break down complex technical and functional requirements and effectively articulate / communicate them to different stakeholders involved in a project. Self-starter willing to get involved in all aspects of solution delivery including implementation and process improvement. Broad picture minded - one who sees the end-to-end solution of a project. Nice to have: Domain knowledge of banking and financial institutions and/or large enterprise IT environment. Strong delivery experience with geographically distributed delivery and client teams. Strong knowledge and hands-on experience with setting up and configuration of Kafka brokers. What's in it for you? If you work with us, we expect you'll show the spirit, drive, and intellect that makes you great. We offer a challenging, team-oriented work environment, competitive remuneration and benefits, and excellent opportunities for professional and personal growth. If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at Zafin.Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Zafin is committed to protecting both the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods in which Zafin collects, uses, stores, handles, retains or discloses applicant information can be accessed by reviewing Zafin's privacy policy at https://zafin.com/privacy/. What's in it for you Joining our team means being part of a culture that values diversity, teamwork, and high-quality work. We offer competitive salaries, annual bonus potential, generous paid time off, paid volunteering days, wellness benefits, and robust opportunities for professional growth and career advancement. Want to learn more about what you can look forward to during your career with us? Visit our careers site and our openings: zafin.com/careers Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Zafin is committed to protecting the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods by which Zafin contains uses, stores, handles, retains, or discloses applicant information can be accessed by reviewing Zafin's privacy policy at https://zafin.com/privacy-notice/. By submitting a job application, you confirm that you agree to the processing of your personal data by Zafin described in the candidate privacy notice. Show more Show less

The world's top banks use Zafin's integrated platform to drive transformative customer value. Powered by an innovative AI-powered architecture, Zafin's platform seamlessly unifies data from across the enterprise to accelerate product and pricing innovation, automate deal management and billing, and create personalized customer offerings that drive expansion and loyalty. Zafin empowers banks to drive sustainable growth, strengthen their market position, and define the future of banking centered around customer value. What is the opportunity? Reporting to the Senior Vice President, the Senior Technology and Integration Services, the Integration Consultant will work in multiple client-facing projects to enable SaaS onboarding. You will act as the technical go-to person for SaaS onboarding and a thought leader on Zafin integration paradigms and its best practices across multiple cloud platforms. You will have ample opportunities to field your best communication, technical, and organizational skills to take a SaaS project from initiation to go-live. You will represent client interests internally to enhance process, product, documentation, and delivery experience. You will interact with senior technical leaderships on the client-side and present and align them with solution approaches. You will interact with multiple internal stakeholders to achieve alignment across various project goals and delivery targets. Location: India . What will you do? Interact and collaborate with customers and partners to define the integration landscape. Define the logical sequence of integration activities for a SaaS onboarding project. Coordinate with the product development team to implement recommended integration strategies. Improve overall project delivery experience and go-live time by improving process and documentation. Support cloud infrastructure and system components required for integration. Lead the identification, isolation, resolution, and communication of issues within a client environment. What do I need to succeed? Must have: Worked on at least one end to end SaaS implementation project. 2+ years of application and data integration experience. Experience with clustering and high availability configurations. Agile experience. Designed an end-to-end scalable integration solution. Broad exposure to different technology stacks involved in a SaaS delivery model. Broad and in-depth knowledge of: data integration concepts and tools network protocol stacks and related integration paradigms security postures in integration technology stacks API design and API based integration Azure, AWS and GCP public cloud platforms and provided services and their integration approaches Integration frameworks used by SaaS applications. Skilled technical documenter. Solution designer at heart. Experience in using modeling tools to create effective architecture views. Strong organizational, analytical, critical thinking, and debugging skills. Excellent communication skills. Ability to break down complex technical and functional requirements and effectively articulate / communicate them to different stakeholders involved in a project. Self-starter willing to get involved in all aspects of solution delivery including implementation and process improvement. Broad picture minded - one who sees the end-to-end solution of a project. Nice to have: Domain knowledge of banking and financial institutions and/or large enterprise IT environment. Strong delivery experience with geographically distributed delivery and client teams. Strong knowledge and hands-on experience with setting up and configuration of Kafka brokers. Strong knowledge and experience with the Kafka Connect Framework including working with multiple connector types: HTTP, RESTful APIs, JMS. What's in it for you Joining our team means being part of a culture that values diversity, teamwork, and high-quality work. We offer competitive salaries, annual bonus potential, generous paid time off, paid volunteering days, wellness benefits, and robust opportunities for professional growth and career advancement. Want to learn more about what you can look forward to during your career with us? Visit our careers site and our openings: zafin.com/careers Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Zafin is committed to protecting the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods by which Zafin contains uses, stores, handles, retains, or discloses applicant information can be accessed by reviewing Zafin's privacy policy at https://zafin.com/privacy-notice/. By submitting a job application, you confirm that you agree to the processing of your personal data by Zafin described in the candidate privacy notice. Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for creating efficient and effective applications that align with the organization's goals and objectives. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, designing application architecture, coding and testing applications, and ensuring their successful deployment and maintenance. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Design, build, and configure applications based on business process and application requirements. - Analyze business requirements and translate them into technical specifications. - Collaborate with cross-functional teams to ensure the successful implementation of applications. - Code and test applications to ensure their functionality and performance. - Ensure the efficient deployment and maintenance of applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Pune office. - A 15 years full time education is required. Show more Show less

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Sitecore Commerce Good to have skills : ASP.NET MVC Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact - Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in Sitecore Commerce, ASP.NET MVC - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 5 years of experience in Sitecore Commerce - This position is based at our Chennai office - A 15 years full-time education is required Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Analytics Services Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the smooth functioning of applications and addressing any issues that may arise. Your typical day will involve collaborating with the team to understand requirements, designing and developing applications using Microsoft Azure Analytics Services, and testing and debugging applications to ensure their functionality and performance. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Collaborate with the team to understand application requirements. - Design and develop applications using Microsoft Azure Analytics Services. - Test and debug applications to ensure functionality and performance. - Address any issues or bugs that arise in the applications. - Provide technical support and guidance to team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Analytics Services. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Microsoft Azure Analytics Services. - This position is based at our Pune office. - A 15 years full-time education is required. Show more Show less