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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.
 
 
 
 Software Engineer (T25), Product Knowledge
 
 
 
 
 Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!
 
 
 
 
 Who Are We?
 
 
 
 
 The Product Knowledge team is at the epicenter of eBay&rsquo;s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay&rsquo;s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!
 
 
 
 
 What Will You Do
 
 
 
 
 We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:
 
 
 
 <ul>
 <li>
 Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets
 </li>
 <li>
 Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items
 </li>
 <li>
 Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components
 </li>
 <li>
 Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality
 
 
 
 </li>
 </ul>
 
 If you love a good challenge, and are good at handling complexity - we&rsquo;d love to hear from you!
 
 
 
 
 eBay is an amazing company to work for. Being on the team, you can expect to benefit from:
 
 
 
 <ul>
 <li>
 A competitive salary - including stock grants and a yearly bonus
 </li>
 <li>
 A healthy work culture that promotes business impact and at the same time highly values your personal well-being
 </li>
 <li>
 Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world&rsquo;s population, and takes every opportunity to make this clearly apparent
 
 
 
 </li>
 </ul>
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure
 </li>
 <li>
 Optimize software performance to achieve the required throughput and / or latency
 </li>
 <li>
 Work with your manager, peers, and Product Managers to scope projects and features
 </li>
 <li>
 Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact
 </li>
 <li>
 Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution
 </li>
 <li>
 Take active part in knowledge sharing across the organization - both teaching and learning from others
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Passion and commitment for technical excellence
 </li>
 <li>
 B.Sc. or M.Sc. in Computer Science or an equivalent professional experience
 </li>
 <li>
 4+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines
 </li>
 <li>
 Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design
 </li>
 <li>
 Experience in production-grade coding in Java, and Python/Scala
 </li>
 <li>
 Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark
 </li>
 <li>
 Experience handling complexities in production software systems
 </li>
 <li>
 Excellent verbal and written communication and collaboration skills
 
 
 
 </li>
 </ul>
 
 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.
 
 
 
 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.
 
 
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</div>

Software Engineer (T25)

HSBC

<div>
 
 
 Acceldata is reimagining the way companies observe their Data!
 
 
 
 
 
 Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.
 
 
 
 
 As a Software Engineer
 
 
 
 You&rsquo;ll be responsible for building, scaling and maintaining the core features and capabilities of our Data Observability suite. You&rsquo;ll work closely with the frontend and product teams to create a reliable and scalable platform.
 
 
 
 A day in the life of Software Engineer
 
 
 
 <ul>
 <li>
 Designing, building and improving the capabilities of some of the key features of the product.
 </li>
 <li>
 Investigating software-related complaints and making necessary adjustments to ensure optimal software
 
 
 </li>
 </ul>
 performance.
 
 
 <ul>
 <li>
 Diving deep into open-source data engines and work on optimising their performance.
 </li>
 <li>
 Designing, building and maintaining low-latency APIs
 </li>
 <li>
 Developing services that will be consumed by the frontend and solution engineers
 </li>
 <li>
 Regularly attending team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues.
 
 
 </li>
 </ul>
 
 You are a great fit for this role if you have
 
 
 
 <ul>
 <li>
 2-4 years of experience in JVM (Java, Scala, Kotlin)
 </li>
 <li>
 Strong data structure, algorithm design, and problem-solving skills.
 </li>
 <li>
 Experience with database systems, RDBMS, Mongo, and Elastic Search.
 </li>
 <li>
 Experience in cloud technologies
 </li>
 <li>
 Knowledge of distributed systems, experience in enterprise software and SQL.
 
 
 </li>
 </ul>
 
 Bonus Points for
 
 
 
 <ul>
 <li>
 Experience in Spark / Kafka.
 </li>
 <li>
 Experience in Big Data Systems or Hadoop components.
 
 
 </li>
 </ul>
 
 
 We care for our team
 
 
 
 
 <ul>
 <li>
 Mentorship &amp; Growth
 </li>
 <li>
 ESOPs
 </li>
 <li>
 Medical and Life Insurance
 </li>
 <li>
 Paid Maternity &amp; Parental Leave
 </li>
 <li>
 Corporate Uber Program
 </li>
 <li>
 Learning &amp; Development Support
 
 
 </li>
 </ul>
 
 
 Acceldata for All
 
 
 
 
 
 We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual.
 
 
 
 
 
 Why Acceldata?
 
 
 
 
 
 Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments.
 
 
 
 
 Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun &amp; Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.
 
</div>

Software Engineer - Backend

KPMG India

<div>
 
 
 Equal employment opportunity information
 
 
 
 
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 Lighthouse Overview
 
 
 Lighthouse, KPMG&rsquo;s Big Data, AI &amp; Analytics practice has deep industry specialization and focuses on solution delivery for Data Engineering, Data Science, Data Visualization, and Process Analytics. We are looking for entrepreneurial leaders to drive growth and build strategic relationships.
 
 <ul>
 <li>
 
 Target Geographies:
 
 Domestic clients primarily, along with business in ME and APAC corridors
 </li>
 </ul>
 
 
 
 
 &gt;&gt; Role &amp; Responsibilities
 
 
 
 
 Technical:
 
 
 <ul>
 <li>
 Minimum 4 years of experience developing scalable and distributed systems in core Java
 </li>
 <li>
 Strong analytical and problem-solving capability
 </li>
 <li>
 Excellent verbal and written communications skills
 </li>
 <li>
 Client facing skills: Solid experience working with clients directly, to be able to build trusted relationships with stakeholders
 </li>
 <li>
 Ability to collaborate effectively across global teams
 </li>
 <li>
 Strong understanding of data structures, algorithm, object-oriented design and design patterns
 </li>
 <li>
 Strong Understanding in SQL to retrieve/transform/analyze datasets
 </li>
 <li>
 Solid understanding and experience with agile software development lifecycle.
 </li>
 <li>
 Experience in the use of multi-dimensional data, data curation processes, and the measurement/improvement of data quality.
 </li>
 <li>
 General knowledge of business processes, data flows and quantitative models that generate or consume data
 </li>
 <li>
 Independent thinker, willing to engage, challenge and learn new technologies
 </li>
 <li>
 Good Understanding in Big data frameworks such as Spark is a plus.
 </li>
 </ul>
 
 
 
 
 &gt;&gt; Qualification
 
 
 <ul>
 <li>
 Engineering Grad / Postgraduate
 </li>
 </ul>
 
 
 
 
 &gt;&gt; SELECTION PROCESS
 
 
 <ul>
 <li>
 Candidates should expect 2 - 3 rounds of personal or telephonic interviews to assess fitment
 </li>
 </ul>
 
 
 
 
 Interested candidates can mail their resumes at : Kartikkhanna2@kpmg.com
 
</div>

Java Software Engineer

Moniepoint Group

<div>
 Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria&rsquo;s largest merchant acquirer.
 
 
 
 Your Opportunity and Mission
 
 
 
 We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint&rsquo;s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models
 
 
 <ul>
 <li>
 Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing
 </li>
 <li>
 Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency
 </li>
 <li>
 Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models
 </li>
 <li>
 Design experiments and interpret the results to draw detailed and actionable conclusions
 </li>
 <li>
 Work in cross-functional teams across disciplines such as product, engineering and business.
 
 
 </li>
 </ul>
 
 You Have...
 
 
 
 <ul>
 <li>
 +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred.
 </li>
 <li>
 Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics
 </li>
 <li>
 Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation.
 </li>
 <li>
 Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling
 </li>
 <li>
 Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3
 </li>
 <li>
 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.
 </li>
 <li>
 Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
 </li>
 <li>
 Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
 </li>
 <li>
 Excellent spoken and written English
 
 
 </li>
 </ul>
 
 What Moniepoint Can Offer You
 
 
 
 <ul>
 <li>
 The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
 </li>
 <li>
 The chance to work on innovative and impactful projects
 </li>
 <li>
 A dynamic, diverse, and collaborative environment where every team member&rsquo;s voice is recognized and valued
 </li>
 <li>
 Flexible work arrangements
 </li>
 <li>
 Continuous learning and career growth opportunities
 </li>
 <li>
 Competitive salary, individual performance bonuses, and firmwide performance bonus
 </li>
 <li>
 Company covered health insurance plans
 </li>
 <li>
 Pension plans
 
 
 </li>
 </ul>
 
 What To Expect In The Hiring Process
 
 
 
 <ul>
 <li>
 A preliminary phone call with one of our recruiters
 </li>
 <li>
 A general interview with the Senior Manager of Marketing Strategy
 </li>
 <li>
 A case study-based discussion with SVP of Marketing
 </li>
 <li>
 A behavioural interview with members of the Executive team
 
 
 </li>
 </ul>
 Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.
</div>

Growth Data Scientist

GoTo Group

<div>
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Translate business concerns into technical problems that can be addressed using data science and machine learning techniques.
 </li>
 <li>
 Collaborate with product managers, machine learning engineers, and business users to develop and deploy data science solutions.
 </li>
 <li>
 Prototype and deploy data science models, ensuring they are scalable and maintainable in a production environment.
 </li>
 <li>
 Partner with business teams to continuously improve systems to meet Gojek&rsquo;s evolving needs.
 </li>
 <li>
 Analyze large datasets to generate actionable insights.
 </li>
 <li>
 Design and conduct experiments to measure the impact of machine learning models and product features in the Marketplace Team
 
 
 </li>
 </ul>
 
 
 What You Will Need
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Science, Statistics, Operations Research, or a related quantitative field, with at least 1-2 years of relevant experience.
 </li>
 <li>
 Hands-on experience with statistics, machine learning fundamentals, and proficiency in Python, SQL, and basic visualization tools.
 </li>
 <li>
 Strong understanding of data science and machine learning fundamentals, with the ability to formulate solutions to business problems.
 </li>
 <li>
 Ability to write clear and concise technical documentation.
 </li>
 <li>
 Experience in taking data science models from development to production.
 </li>
 <li>
 Competence in conducting independent analysis, including data manipulation, hypothesis formulation, and statistical analysis of experiments.
 
 
 </li>
 </ul>
 
 
 About GoTo Group
 
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 
 About Gojek
 
 
 
 
 Gojek is Southeast Asia&rsquo;s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
 
 
 
 
 About GoTo Financial
 
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
 
 
 About GoTo Group
 
 
 
 
 GoTo Group is the largest digital ecosystem in Indonesia with its mission to &ldquo;Empower Progress&rsquo; by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia&rsquo;s vast consumer household.
 
 
 
 
 About GoTo Financial
 
 
 
 
 GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
 
 
 
 GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
 
 
 
</div>

Gojek - Data Scientist

LinkedIn

<div>
 LinkedIn is the world&rsquo;s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
 
 
 As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will drive the technology vision and create business impact by putting to use your passion for very large-scale distributed systems and software as services and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open-source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
 
 
 At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what&rsquo;s best for you and when it is important for your team to be together.
 
 
 Responsibilities:
 
 
 - You will build and ship software, drive architectural decisions and implementation across the BigData ecosystem that includes data processing pipelines, pubsub systems, observability, compliance, etc.
 
 
 - You will design the right interfaces/APIs for long term evolution of the services.
 
 
 - You will be responsible for the high availability, reliability, scalability and performance of these systems
 
 
 - You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
 
 
 - You will invest in growing junior engineers, developing design and craftsmanship skills and culture.
 
 
 - You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. You will work closely with other stakeholders in HeadQuarters to drive intra-team alignment.
 
 
 - You will be a primary domain expert to influence technology choices.
 
 
 Basic Qualifications:
 
 
 - BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
 
 - 18+ years of programming experience in Java, C++or similar programming languages
 
 - 18+ years' experience building large-scale distributed systems, applications or similar experience
 
 
 Preferred Qualifications:
 
 
 - MS or PhD in Computer Science or related technical discipline.
 
 - 18+ years of relevant work experience.
 
 - Experience with strategic planning, executing on a long-term roadmap, team development and scaling processes to support business growth.
 
 - Designing and building infrastructure and backend services at internet scale.
 
 - Building and shipping high quality work while achieving high reliability.
 
 - Utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions.
 
 - Leading high-impact cross-org initiatives
 
 - Expertise in BigData systems like Apache Hadoop, Spark, Iceberg etc is highly desirable
 
 
 Suggested Skills:
 
 
 - BigData technologies
 
 - Large-scale distributed systems
 
 - Communication
 
 
 You will Benefit from our Culture:
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 India Disability Policy
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 Global Data Privacy Notice for Job Candidates
 
 This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal
</div>

Principal Staff Software Engineer, Systems Infrastructure

Sony India

<div>
 We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC&rsquo;s.
 
 
 Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members.
 
 
 <ul>
 <li>
 Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization&rsquo;s, search, virtual assistant, time series forecasting and more.
 </li>
 <li>
 Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning.
 </li>
 <li>
 Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
 </li>
 <li>
 Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
 </li>
 <li>
 Produce reusable code according to standard methodologies in Python, Scala or Java
 </li>
 <li>
 Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews.
 
 
 </li>
 </ul>
 Strong Python programming skills
 
 
 
 [Good to have Skills]:
 
 
 
 <ul>
 <li>
 SQL, Data Analysis , Gaming Industry knowledge
 </li>
 </ul>
</div>

ML Engineer

Explore 576+ Big data engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.