big data engineer

Quince

<div>
 
 ABOUT QUINCE
 
 
 
 Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.
 
 
 Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions:
 
 
 <ul>
 <li>
 Customer First: We prioritize customer satisfaction in every decision.
 </li>
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 High Quality: True quality means premium materials and rigorous production standards you can feel good about.
 </li>
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 Essential Design: We focus on timeless, functional essentials instead of chasing trends.
 </li>
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 Always a Better Deal: Innovation and transparency ensure value for both customers and partners.
 </li>
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 Social &amp; Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages.
 
 
 </li>
 </ul>
 Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency.
 
 
 
 OUR TEAM AND SUCCESS
 
 
 
 At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience &ndash; one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence.
 
 
 If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Responsible for the execution and quality of the tools, services, datasets delivered by the Data Engineering team.
 </li>
 <li>
 Build and deploy scalable data engineering solutions on the cloud for engineering, analytics &amp; data-science consumers.
 </li>
 <li>
 Be at the forefront with the business &amp; engineering teams to learn, understand, identify and translate functional requirements into technical opportunities.
 </li>
 <li>
 Own the low-level design and implementation while maintaining high-quality of design /programming standards
 </li>
 <li>
 End-to-end module ownership of your functional area.
 </li>
 <li>
 Sharp focus on performance optimizations &amp; continuous effort towards improving both read &amp; write latencies.
 </li>
 <li>
 Researching on and integrating any big data tools and frameworks required to provide requested capabilities.
 </li>
 <li>
 Time split - 80% hands-on programming/execution/research and 20% stakeholder management depending on experience &amp; exposure.
 </li>
 <li>
 Dealing with ambiguity &amp; seeking to resolve those by collaborating with all necessary stakeholders.
 </li>
 <li>
 Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest customer value.
 
 
 </li>
 </ul>
 
 Must Have:
 
 
 
 <ul>
 <li>
 Experience in big data technologies(Apache Hadoop/Spark/Hive/Presto)
 </li>
 <li>
 Experience with Message Queues(e.g. Apache Kafka/Kinesis/RabbitMQ)
 </li>
 <li>
 Proficiency in at least one of the following programming languages - Python, Java or Scala.
 </li>
 <li>
 Experience in building Highly Available, Fault Tolerant REST services preferably for data ingestion or data extraction.
 </li>
 <li>
 Good understanding of data warehousing fundamentals.
 </li>
 <li>
 Good exposure to SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).
 </li>
 <li>
 Experience with integrating data across multiple data sources.
 </li>
 <li>
 Good understanding of distributed computing principles.
 </li>
 <li>
 Strong analytical/quantitative skills and comfortable working with very large &amp; varied sets of data.
 
 
 </li>
 </ul>
 
 Good To Have:
 
 
 
 <ul>
 <li>
 Working knowledge of cloud-native (AWS preferred) services/tools.
 </li>
 <li>
 Experience with MPP data warehouses (e.g.Snowflake/Redshift).
 </li>
 <li>
 Proficiency in Apache Spark &amp; Apache Kafka.
 </li>
 <li>
 Experience with any NoSQL storage(e.g.Redis/DynamoDB/Memcache).
 
 
 </li>
 </ul>
 
 WHY QUINCE?
 
 
 
 Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
 
 
 
 EQUAL OPPORTUNITY &amp; HIRING INTEGRITY
 
 
 
 Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
 
 
 Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.
 
 
 Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
 
 
 
 Security Advisory: Beware of Frauds
 
 
 
 At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom&mdash;never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
</div>

Software Development Engineer - 2 : Data Engineering

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About The Team
 
 
 
 At eBay, the Data Platform Engineering group designs and scales innovative infrastructure and analytics solutions that power robust data flows, real-time insights, and inventory mapping globally. The team builds and maintains large-scale systems supporting high-volume data acquisition, transformation, and reporting, driving platform reliability and supporting business decision-making across regions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Architect, develop, and maintain backend services and distributed systems driving large-scale data collection, processing, and reporting workflows.
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 Design and optimize ETL (Extract, Transform, Load) pipelines for a range of data sources, enabling inventory mapping, enrichment, and transformation.
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 Build, monitor, and troubleshoot microservices, data crawling tools, and plugins for cloud-native deployments and high system resilience.
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 Implement advanced extraction and mapping frameworks using modern technology stacks, ensuring data is clean, comprehensive, and actionable.
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 Ensure platform reliability and scalability with proactive incident response, robust monitoring, and ongoing technical upgrades.
 </li>
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 Contribute to customer-facing portals and dashboards that support internal teams in configuring, managing, and monitoring data workflows.
 </li>
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 Collaborate globally across engineering, product, and analytics teams (India, US, China, Europe) to deliver impactful platform features and ensure alignment on technical best practices.
 </li>
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 Participate actively in release management, code reviews, operations, and knowledge sharing for continual improvement and technical excellence.
 </li>
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 Guide peers in troubleshooting, system design, DevOps processes, and cloud pipeline architecture.
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Strong proficiency in backend development: Java (Spring Boot), Groovy, Python, and distributed computing frameworks such as Spark and Hadoop.
 </li>
 <li>
 Hands-on experience with databases: MongoDB, MySQL, Oracle, as well as big data solutions including Hive and ETL pipeline design.
 </li>
 <li>
 Familiarity with frontend technologies (HTML, JavaScript, Angular) supporting dashboard, visualization, and portal development.
 </li>
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 Demonstrated experience in building scalable data analysis workflows, inventory mapping systems, and production monitoring solutions.
 </li>
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 Expertise in technologies such as ElasticSearch, Kafka, Docker, Kubernetes, and Grafana.
 </li>
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 Proven ability in incident management: code review coordination, release verification, and troubleshooting in cloud-native environments.
 </li>
 <li>
 Experience collaborating in global, cross-functional teams and providing technical mentorship.
 
 
 
 </li>
 </ul>
 Desired Qualities
 
 
 <ul>
 <li>
 Detail-oriented and passionate about data quality, process optimization, and infrastructure reliability.
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 Proactive communicator and team contributor in fast-paced, distributed engineering organizations.
 </li>
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 High accountability for release outcomes and data workflow accuracy.
 </li>
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 Committed to continuous learning, technical documentation, and knowledge sharing.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or advanced degree in Computer Science, Software Engineering, or a closely related field.
 </li>
 <li>
 Professional experience in large-scale data systems, backend software engineering, and analytics platforms.
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 Exposure to business data workflows, infrastructure automation, or external data aggregation is a plus.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Software Engineer

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 2 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or experience with a Master's degree).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 To accelerate the growth and market leadership of Enterprise Buying Platforms (DV360 and SA360) by answering critical business questions and delivering actionable, data-driven insights that inform product and commercial strategy. The Enterprise Platform Data Science Team provides quantitative support, market understanding and a strategic perspective to our partners throughout the organization, in close collaboration with the Ads and Commerce Finance team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Execute defined, moderately difficult investigative tasks under guidance from the manager or executive team member/team lead. For straightforward problems, execute end-to-end analysis with minimal guidance.
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 Manage workload to reflect the priorities set by the team, work towards a timeline, and communicate slippage.
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 Select appropriate approaches from clear options to address technical challenges under some guidance from managers or executive team members. Plan out analyses (as opposed to trial and error approach).
 </li>
 <li>
 Break down broader tasks into components and anticipate complexities/blockers.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Scientist, Enterprise Platform

Microsoft

<div>
 
 Overview
 
 
 
 Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings.The Azure Data SQL Core Team is looking for a Software Engineer II with a passion for technology, performance and helping customers succeed on our platform by building the next set of industry-leading features and capabilities. SQL Core team works on key Azure SQL Database operating system capabilities (scheduling, memory management, locking, synchronization ...) with a focus on driving product performance and reducing TCO. We seek engineers who have experience in operating systems, hardware architectures (Intel, AMD, ARM), persistent memory technologies, performance and scalability on Windows and Linux. Engineers in SQL Core team will define and implement the next set of technologies, build new solutions and enable a new set of experiences for enterprise and cloud customers.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Spearheading prototype projects to swiftly assess design concepts Identifying and driving prototype projects for quick evaluation of design ideas.
 </li>
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 Contributing to current and future product improvements around performance (perf/scale/SLA)
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 Identifying improvements in supportability and customer self-diagnostics that enable live monitoring with focus on identifying/addressing performance related issues
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 Obsessed with customers, making data-driven decisions, and using telemetry collected from customers and production systems
 </li>
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 Embody our culture and values
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications:
 
 
 
 <ul>
 <li>
 3+ years of experience designing and developing production quality software.
 </li>
 <li>
 Strong design, implementation, and communication skills
 </li>
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 Proficiency with C++, and/or C#, solid knowledge of SQL
 
 
 </li>
 </ul>
 
 Preferred/Additional Qualifications
 
 
 
 <ul>
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 Extensive and specialized knowledge in one or more of the following areas: Database/OS internals, Big Data technologies, Hardware knowledge (CPU/System/Networking/Storage..), and Cloud related technologies - Methodical problem-solving, interpersonal, and communication skills
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Software Engineer II

AB InBev GCC India

<div>
 
 
 Dreaming big is in our DNA. It&rsquo;s who we are as a company. It&rsquo;s our culture. It&rsquo;s our heritage. And more than ever, it&rsquo;s our future. A future where we&rsquo;re always looking forward. Always serving up new ways to meet life&rsquo;s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together &ndash; when we combine your strengths with ours &ndash; is unstoppable. Are you ready to join a team that dreams as big as you do?
 
 
 
 
 
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title:
 
 Junior Data Scientist
 
 
 
 Location:
 
 Bangalore
 
 
 
 Reporting to:
 
 Senior Data Scientist
 
 
 
 
 
 
 
 
 
 1. Purpose of Role
 
 
 
 
 
 
 The Junior Data Scientist will support the development of analytical solutions that enable data-driven decision-making across the organization. The role focuses on building foundational skills in Python, SQL, and core data science workflows. It involves working closely with senior team members to prepare data, develop basic models, perform exploratory analysis, and contribute to documentation and reproducibility. This position is designed for individuals who can learn quickly, collaborate effectively, and apply structured problem-solving to business challenges.
 
 
 
 
 
 
 2. Key Tasks and Accountabilities
 
 
 
 
 
 <ul>
 <li>
 Assist in developing data science models and analytical components using Python with working knowledge of syntax, data structures, and foundational libraries such as pandas and numpy
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 Conduct exploratory data analysis, basic feature creation, and initial statistical checks under the guidance of senior team members
 </li>
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 Write clean, readable, and well-organized code while following best practices shared by the team
 </li>
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 Collaborate with cross-functional teams to understand data needs, gather requirements, and support translation of business questions into analytical tasks
 </li>
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 Work with existing codebases to understand workflow logic, make incremental enhancements, and support maintenance tasks
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 Use version control tools like Git for basic code commits, branching, and collaboration.
 </li>
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 Write simple to intermediate SQL queries to extract and prepare data from relational databases
 </li>
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 Support documentation of processes, datasets, code logic, and outputs for future use
 </li>
 <li>
 Learn and adopt standard development and data science methodologies including model evaluation, reproducibility, and simple automation of tasks
 </li>
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 Participate in team learning initiatives, staying curious about new tools, techniques, and best practices in analytics
 </li>
 </ul>
 
 
 
 
 
 3. Qualifications, Experience and Skills
 
 
 
 
 
 
 
 Education:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, Mathematics, Statistics, Engineering, or a related discipline.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience in data science, analytics, or related technical roles, preferably with exposure to hands-on projects, internships, or academic assignments involving Python and data analysis.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills:
 
 
 
 
 
 <ul>
 <li>
 
 Python Programming (Beginner to Intermediate):
 
 </li>
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 Basic proficiency with syntax, data structures, and use of core libraries such as pandas and numpy.
 </li>
 <li>
 
 Data Science Foundations:
 
 </li>
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 Understanding of descriptive statistics, basic model-building concepts, and feature preparation.
 </li>
 <li>
 
 SQL (Beginner to Intermediate):
 
 </li>
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 Ability to write queries for data extraction and manipulation.
 </li>
 <li>
 
 Version Control (Git):
 
 </li>
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 Familiarity with commits, branches, and collaborative code workflows.
 </li>
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 Code Adaptability:
 
 </li>
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 Ability to read and understand existing code and make minor enhancements.
 </li>
 </ul>
 
 
 
 
 
 Preferred (Good to Have) Skills
 
 
 
 
 
 <ul>
 <li>
 Exposure to Object-Oriented Programming (OOP) concepts in Python
 </li>
 <li>
 Basic knowledge of model evaluation techniques or lifecycle stages
 </li>
 <li>
 Awareness of test-driven development principles
 </li>
 <li>
 Experience with Jupyter notebooks, dashboards, or simple automation scripts.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 .
 
</div>

Junior Data Scientist

Myntra

<div>
 
 About The Company
 
 
 
 
 Who are we?
 
 
 
 Myntra is India&rsquo;s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we&rsquo;ve always believed in disrupting the ordinary.
 
 
 We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We&rsquo;re bold in our thinking, agile in our execution, and collaborative in spirit.
 
 
 Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
 
 
 We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
 
 
 From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
 
 
 Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
 
 
 
 About Team
 
 
 
 The Myntra Data Science team is at the forefront of innovation, delivering cutting-edge solutions that drive significant revenue and enhance customer experiences across various touchpoints. Every quarter, our models impact millions of customers, leveraging real-time, near-real-time, and offline solutions with diverse latency requirements. These models are built on massive datasets, allowing for deep learning and growth opportunities within a rapidly expanding organization. By joining our team, you'll gain hands-on experience with an extensive e-commerce platform, learning to develop models that handle millions of requests per second with sub-second latency.
 
 
 We take pride in deploying solutions that not only utilize state-of-the-art machine learning techniques&mdash;such as graph neural networks, diffusion models, transformers, representation learning, optimization methods, and Bayesian modeling&mdash;but also contribute to the research community with multiple peer-reviewed publications.
 
 
 Roles and Responsibilities
 
 
 Design, Develop, and Deploy: Create and implement advanced machine learning models and algorithms to tackle complex business challenges across various domains, including Recommender Systems, Search, Computer Vision, Supply Chain Management (SCM), Pricing, Forecasting, Trend and Virality Prediction, Generative AI, and more.
 
 
 Technical Expertise: Demonstrate deep theoretical knowledge and practical expertise in one or more areas, such as Natural Language Processing (NLP), Computer Vision, Recommender Systems, and Optimization.
 
 
 Software Development: Develop robust, scalable, and maintainable software solutions for seamless model deployment.
 
 
 CI/CD Pipelines: Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing, deployment, and model integration.
 
 
 Model Maintenance: Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training.
 
 
 Collaboration: Work closely with the Platforms and Engineering teams to ensure smooth deployment and integration of ML models into production systems.
 
 
 Data Management: Partner with the Data Platforms team to gather, process, and analyze data crucial for model development.
 
 
 Code Quality: Write clean, efficient, and maintainable code following best practices.
 
 
 Performance Optimization: Conduct performance testing, troubleshooting, and tuning to ensure optimal model performance.
 
 
 Continuous Learning: Stay up-to-date with the latest advancements in machine learning and technology, sharing insights and knowledge across the organization.
 
 
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Industry Experience: 5+ years with a Bachelor's degree, or 3+ years with a Master&rsquo;s/Ph.D. in Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 Machine Learning Expertise: At least 2 years of hands-on experience as a Machine Learning Engineer or a similar role.
 </li>
 <li>
 Production Deployment: Proven experience deploying machine learning solutions into production environments.
 </li>
 <li>
 Programming Skills: Strong proficiency in Python or equivalent programming languages for model development.
 </li>
 <li>
 ML Frameworks: Familiarity with leading machine learning frameworks (Keras, TensorFlow, PyTorch) and libraries (scikit-learn).
 </li>
 <li>
 CI/CD Tools: Experience with CI/CD tools and practices.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills.
 </li>
 <li>
 Teamwork &amp; Independence: Ability to work collaboratively in a team environment or independently as needed.
 </li>
 <li>
 Workload Management: Strong organizational skills to manage and prioritize tasks, supporting your manager effectively.
 
 
 </li>
 </ul>
 Exceptional candidates are encouraged to apply, even if you don't meet every listed qualification. We're open to hiring individuals who demonstrate outstanding potential.
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Research Contributions: Publications or presentations in recognized Machine Learning and Data Science journals/conferences.
 </li>
 <li>
 Big Data Technologies: Experience with big data technologies like Spark or other distributed computing frameworks.
 </li>
 <li>
 Cloud Services: Proficiency in cloud platforms (AWS, Google Cloud) and an understanding of distributed systems.
 </li>
 <li>
 Generative AI Exposure: Familiarity with Generative AI models.
 </li>
 <li>
 Database Management: Experience with SQL and/or NoSQL databases.
 </li>
 <li>
 ML Orchestration: Knowledge of ML orchestration tools (Airflow, Kubeflow, MLFlow).
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 python, machine learning, recommendation system, forecasting, deployment, time series
 
 
 
 Required Education
 
 
 
 B.Tech
</div>

Senior Data Scientist

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 Join us on our digital-first journey and join the magic that is happening right now at Chubb. Our teams are innovating, iterating, and solving customer problems at a rapid pace. We are building upon our strength of delivering superior coverage and customer experience by leading the modernization of what insurance does and how we deliver it in a digital way. This means technology is infused into the business and technology experts sit at the table with our insurance experts. This requires taking an engineer of everything mentality to deliver the world-class customer experience that sets Chubb apart from our competition. By being a part of the digital-first journey at Chubb, you will be a transformer at the forefront of driving change in a multidisciplinary squad. Here is how some of our current transformers are describing how they feel about their experience in our squads: invigorated, heard, motivated, supported, and valued.
 
 
 
 
 <ul>
 <li>
 
 Role: Senior Java Developer
 
 </li>
 <li>
 
 Location: Bangalore, Hyderabad
 
 </li>
 <li>
 
 Experience: 7 to 10 Years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Build and implement complex, large-scale applications capable of integrating with multiple internal/external systems.
 </li>
 <li>
 Engage in development efforts across the full SDLC from design and coding through to test, build, QA, deployment, and maintenance.
 </li>
 <li>
 Build cloud-based software solutions and support the migration of applications to the cloud.
 
 
 </li>
 <li>
 Ability to coordinate with different teams in different geographies
 </li>
 <li>
 Flexible to work in multiple projects when needed.
 </li>
 <li>
 Independently implement and unit test the application modules
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 Senior Software Engineer with 5-10 years of working experience in Object-oriented programming language (Java) and related frameworks, APIs and databases (SQL/NoSQL).
 </li>
 <li>
 Hands on experience of at least 2 years in Spring Boot,Kafka
 </li>
 <li>
 Experience working with any Mainframe integration tools (Soroco Scout, OpenLegacy, etc.) is a big plus.
 </li>
 <li>
 Experience with Unit testing frameworks for API.
 </li>
 <li>
 Experience in source control tools like GIT, Jenkins CI/CD or any other build tool.
 </li>
 <li>
 Experience in working with Jira and Agile/Scrum environments.
 </li>
 <li>
 Insurance Domain knowledge is a big plus.
 </li>
 <li>
 Solid knowledge of Routing, Dependency Injection, Web API Filters, Caching.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
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 We support hybrid work and flexible hours to fit diverse lifestyles.
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 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
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 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
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Senior Java Developer

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