Product AI Tester / Quality Engineer II Location: Remote (with occasional stays at Zostel properties) Experience: 1-4 years Employment: Full-Time About Zostel We didn t just build hostels we created a playground for curious travelers. Now, we re weaving AI into every step of the guest journey from predictive pricing to automated operations and super-personalized recommendations so travelers get that magical wow, this just works feeling. Quality is our moat, and you will be the guardian of that promise. What You'll Do Own the Quality Narrative Collaborate with Product Managers from ideation to launch to define what "good" looks like. Translate fuzzy product ideas into clear, testable acceptance criteria and call out anything vague. AI-First Testing & Tooling Build and maintain smart automated test suites using tools like Testsigma, AccelQ, or any new AI-powered QA tech. Coach the team on where AI can reduce tedious regression cycles and where human intuition still reigns. Automate Like a Developer Write lightweight automation scripts (Python preferred, but JavaScript or Java also welcome) to test APIs, mock data, and generate load. Keep the CI/CD pipeline stable if it breaks, you re already on it before Slack lights up. Exploratory Sherlocking Put on the traveler hat and explore the product to find those tricky, production-only bugs. Log crystal-clear bugs engineers actually thank you for. Data-Driven Feedback Loops Dive into logs, dashboards, and SQL queries to detect flakiness and trending issues. Use data, not gut feelings, to recommend improvements. Release Confidence & Post-Launch Vigil Approve (or hold) production releases with confidence. Monitor live metrics post-launch to catch and fix issues before users notice. Who You Are Degree: BE/BTech in Computer Science, IT, or equivalent hands-on experience. Skills: Comfortable coding automation scripts (Python is a plus). Experience: 1-4 years in real-world QA/testing, ready to move beyond checkbox testing to AI-powered efficiency. Collaboration: You speak fluent engineer and product manager, bridging gaps smoothly. Detail-Oriented: You catch pixel-perfect UI glitches and subtle latency spikes. Curious Learner: The moment a new AI testing tool launches, you re already exploring it. Influence Zostel s AI-powered future with your test coverage ensuring smooth feature rollouts to thousands of travelers. Work with the latest QA technology, leaving legacy testing frameworks behind. Enjoy remote-first work with the option to stay at Zostel hostels when wanderlust calls. Take full ownership spot a problem and you get the keys (and Slack emoji) to fix it. Qualification : BE/BTech in Computer Science, IT, or equivalent hands-on experience

Job Title: Senior Generative AI & Data Engineer (Python) Remote | Chandigarh/Punjab Preferred Experience Required: 5+ Years Employment Type: Full-Time Work Days: 5 Days a Week Notice: Immediate Joiners Preferred About the Role We are seeking an experienced Senior Generative AI & Data Engineer with over 5 years of expertise in Python and enterprise-level AI/data engineering. This fully remote position is ideal for professionals based in Chandigarh or Punjab looking to contribute to cutting-edge AI projects while working from home. Key Responsibilities: Design and develop complex Large Language Model (LLM) layers and modules including flow creation, supervision, retrievers, and connection management. Build and optimize scalable data models, data pipelines, and translation layers for efficient data processing. Lead enterprise-grade Python development efforts with clean, maintainable code. Drive Generative AI engineering initiatives to innovate and enhance AI capabilities. Manage data engineering tasks using PostgreSQL, Polars, and orchestration tools such as Apache Airflow (DAGs). Oversee operational data workflows using key-value stores and queuing systems. Develop robust and scalable web services using FastAPI. Collaborate closely with cross-functional teams to deliver innovative engineering solutions aligned with business needs. Required Skills & Expertise: Strong proficiency in Python for enterprise applications. Hands-on experience in Generative AI engineering and LLM module development. Expertise in data engineering with PostgreSQL and Polars. Skilled in workflow orchestration using Airflow DAGs. Proficient in building web APIs with FastAPI. Experience managing key-value stores and message queuing systems for data operations. Work remotely while contributing to enterprise-level AI and data engineering projects. Collaborate with a dynamic, innovative team passionate about cutting-edge technology. Competitive salary and opportunities for professional growth. Flexible working environment supporting work-life balance.

Legal Intern Location: Bengaluru, Remote (5 days/week) Duration: 1 month (with possible extension based on performance and business needs) Job Summary We are seeking a motivated Legal Intern who thrives in a fast-paced and challenging environment to support our legal team. This internship offers an opportunity to gain hands-on experience in legal research, drafting, and compliance within the SaaS industry. Key Responsibilities Assist the legal team with research on specific legal issues and prepare detailed documents based on findings. Draft, review, and redline NDAs and other agreements according to business requirements. Provide legal support and coordinate with internal stakeholders as needed. Requirements Pre-final year BA LLB or BBA LLB student with prior internship experience and/or strong interest in the SaaS industry. Exposure to employment laws, compliance laws, and contracts through internships or coursework. Good understanding of commercial contracting principles and the law of contracts across geographies and industries, including global standards and best practices. Excellent written and verbal communication skills with clarity and precision. Strong attention to detail and organizational skills. Basic knowledge of AI, technology, intellectual property, and corporate laws is a plus. Working Model Remote, 5 days a week. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , Rubrik Security Cloud leverages machine learning to protect data across enterprise, cloud, and SaaS applications. We empower organizations to maintain data integrity, ensure data availability under adverse conditions, monitor data risks continuously, and recover quickly from cyberattacks and disruptions.

Sr. Big Data Engineer Location: India The Impact You Will Have: You will work on a variety of impactful customer technical Big Data projects, which may include building reference architectures, how-to's and production-grade MVPs. Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Consult on architecture and design; bootstrap or implement strategic customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues. What We Look For: 10+ years experience with Big Data Technologies such as Apache Spark , Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. 6+ years of experience working on Big Data Architectures independently. Strong experience working in the Databricks ecosystem. Comfortable writing code in either Python or Scala. Experience working across Cloud Platforms (GCP / AWS / Azure). Documentation and white-boarding skills. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Job Title: Python Developer Job Type: Full Time About Us: We are looking for a skilled Python Developer to join our team and contribute to the development of high-quality software solutions. The ideal candidate will have solid expertise in Python programming, backend development, and API integrations, and will work on building scalable, efficient applications. Key Responsibilities: Develop, test, and maintain scalable Python applications. Design and integrate RESTful APIs and microservices. Optimize code for performance, scalability, and maintainability. Work with databases such as MySQL, PostgreSQL, or NoSQL solutions. Debug and resolve software issues efficiently to ensure high-quality results. Collaborate with cross-functional teams to deliver robust software solutions and ensure smooth deployment and integration. Preferred Qualifications: Proficiency in Python frameworks such as Django, Flask, or FastAPI. Experience with cloud platforms (AWS, Azure, GCP). Strong understanding of version control (Git, GitHub). Familiarity with containerization technologies such as Docker and Kubernetes. Prior experience in AI/ML development is a plus, but not required. Ability to work on multiple projects simultaneously in an Agile environment. Strong problem-solving skills and ability to troubleshoot and resolve technical issues. Desired Skills: Solid understanding of RESTful architecture and microservices. Experience with deploying applications in cloud environments (AWS, GCP, or Azure). Familiarity with CI/CD pipelines and automated testing. Knowledge of best practices for maintaining and securing Python applications.

Job Title: Data Scientist (AI & ML Specialist) Job Type: Full Time Job Description: We are looking for a Data Scientist specializing in AI & ML to join our team. The ideal candidate will be responsible for analyzing complex datasets, building predictive models, and driving AI-powered insights to develop business solutions. You will play a key role in enhancing our AI and machine learning capabilities to solve real-world challenges. Key Responsibilities: Develop, optimize, and implement machine learning models for real-world applications. Perform data preprocessing, feature engineering, and statistical analysis to prepare datasets for modeling. Work with big data frameworks and AI algorithms to derive meaningful insights. Deploy AI and ML models into production environments ensuring scalability and reliability. Collaborate with software engineers and domain experts to continuously improve model performance. Provide actionable insights to guide business decisions and solve complex problems. Participate in research to enhance model capabilities and stay up-to-date with AI advancements. Preferred Qualifications: Proficiency in Python, R, TensorFlow, PyTorch, or Scikit-Learn. Strong experience with Natural Language Processing (NLP), computer vision, or deep learning. Familiarity with cloud AI services such as AWS SageMaker, Google AI, or Azure ML. Expertise in data visualization and the ability to present findings through storytelling. Knowledge of MLOps and model deployment strategies for scaling solutions. Strong problem-solving skills and an ability to think critically about data and business problems. Ability to work collaboratively in a cross-functional team and effectively communicate technical concepts. Desired Skills: Experience in AI model interpretability and explainability. Familiarity with reinforcement learning and its applications. Knowledge of model evaluation metrics and model optimization techniques.

Job Title: AI Engineer Job Type: Full Time Job Description: We are seeking an AI Engineer to join our team, responsible for building intelligent systems that leverage deep learning, NLP, and AI-driven automation. The ideal candidate will have experience in developing AI-powered applications and optimizing machine learning models for real-time processing. Key Responsibilities: Develop and deploy AI-powered applications using machine learning models. Implement and fine-tune deep learning models for applications in NLP, computer vision (CV), and recommendation systems. Optimize AI pipelines to ensure efficient and scalable real-time processing. Collaborate closely with software engineers and data scientists for seamless end-to-end integration of AI solutions into production environments. Continuously evaluate and improve the performance and accuracy of AI models. Stay up-to-date with the latest advancements in AI technologies and implement them in practical applications. Preferred Qualifications: Strong background in Python, and hands-on experience with frameworks such as TensorFlow, PyTorch, or Hugging Face. Experience in deploying AI models using tools like Docker, Kubernetes, or cloud platforms (e.g., AWS, Azure). Deep understanding of ethical AI and responsible AI practices to ensure fairness, transparency, and accountability in AI systems. Ability to work in a collaborative, fast-paced environment to deliver high-quality solutions. Desired Skills: Experience with reinforcement learning or generative models. Familiarity with building and maintaining AI pipelines and working with large datasets. Knowledge of AI interpretability and model explainability techniques.

Job Title: AI Software Engineer Job Type: Full Time Job Description: As an AI Software Engineer, you will be responsible for designing and developing AI-powered software applications that drive innovation and automation. You will work with cutting-edge AI technologies to deliver smart, scalable solutions that optimize processes and enhance software performance. Key Responsibilities: Develop and deploy AI-driven solutions in software applications to enhance functionality and user experience. Implement machine learning algorithms for predictive analytics and decision-making processes. Work with AI APIs and SDKs to integrate intelligent features into applications. Optimize software performance for AI workloads, ensuring scalability and efficiency in production environments. Collaborate with cross-functional teams to ensure AI solutions meet business requirements and objectives. Continuously monitor and improve the performance of AI-driven applications. Preferred Qualifications: Strong programming skills in Python, Java, or C++. Experience with AI model deployment and cloud-based AI solutions (e.g., AWS, Azure, GCP). Familiarity with DevOps practices for AI software scalability, ensuring efficient integration and continuous delivery. Knowledge of AI frameworks (TensorFlow, PyTorch) and their integration into software applications. Desired Skills: Experience in building and maintaining AI APIs and microservices. Familiarity with containerization technologies like Docker and Kubernetes for deploying AI models. Strong problem-solving skills with an emphasis on optimizing software performance for AI tasks.

Job Title: AI Backend Developer Job Type: Full Time Job Description: We are hiring an AI Backend Developer to build and maintain backend services that power AI applications. As an AI Backend Developer, you will work on the server-side development, ensuring that the backend infrastructure supports seamless and efficient AI model integration and real-time data processing. Key Responsibilities: Develop APIs and backend logic that enable AI-powered systems to function seamlessly. Optimize database performance to handle AI workloads and support efficient data processing. Integrate AI/ML models into scalable backend architectures to ensure they run smoothly in production environments. Ensure secure and efficient data processing for AI-driven applications. Collaborate with AI engineers and front-end developers to deliver high-performing solutions. Monitor and maintain backend systems to ensure optimal performance and availability. Preferred Qualifications: Proficiency in Python, Node.js, or Golang. Experience with cloud platforms (AWS, GCP, Azure) and serverless computing solutions. Knowledge of microservices and API development to ensure efficient and scalable backend architectures. Experience with containerization technologies like Docker and Kubernetes is a plus. Strong understanding of database technologies (SQL and NoSQL) and their integration with AI models. Desired Skills: Familiarity with machine learning pipelines and how backend services support AI/ML model deployment. Knowledge of best practices for securing AI-related data and ensuring compliance with privacy regulations. Strong problem-solving and analytical skills to tackle complex challenges in backend development.

Working at Atlassian At Atlassian, we believe in empowering our employees with the flexibility to choose where they work whether in the office, from home, or a hybrid combination of both. This approach gives Atlassians greater control over their work-life balance, family priorities, and personal goals. We are a distributed-first company, hiring people across the globe where we have legal entities, with virtual interviews and onboarding processes in place. We are currently looking for a Senior Data Engineer to join our Go-To-Market Data Engineering (GTM-DE) team. This team is responsible for building and maintaining our data lake, ensuring our big data pipelines and services are optimized, and facilitating the movement of billions of messages each day. You'll work directly with business stakeholders, platform, and engineering teams to enable growth and retention strategies at Atlassian. We re looking for someone who is passionate about building scalable services and enjoys problem-solving in a fast-paced environment. What You ll Do: Help stakeholder teams ingest data into our data lake more efficiently. Improve the performance of our data pipelines, ensuring scalability. Innovate to create self-serve data engineering capabilities within the company. Design and build micro-services that support large-scale data ingestion and processing. Architect and enable self-serve data engineering services to help scale Atlassian's growth. Work with a cloud-based AWS data lake, leveraging open-source tools like Spark and Airflow. Apply your technical skills to build reliable and scalable services to support a multi-petabyte data lake. Work collaboratively in a fast-paced environment where creativity is key to success. What We Expect on Your First Day: A BS in Computer Science or equivalent professional experience. At least 5+ years of professional experience as a Sr. Software Engineer or Sr. Data Engineer. Strong proficiency in programming (preferably Python, Java, or Scala). Experience writing SQL, structuring data, and understanding data storage practices. Familiarity with data modeling and data warehousing concepts. Hands-on experience building data pipelines, platforms, microservices, and REST APIs. Familiarity with Spark, Hive, Airflow, and other streaming technologies to process large-scale streaming data. Experience working with Amazon Web Services (AWS), particularly EMR, Kinesis, RDS, S3, SQS, and similar services. Familiarity with Agile, TDD, and CI/CD development practices. A strong focus on data quality with experience using tools or frameworks to detect data issues and anomalies. A willingness to accept failure, learn from it, and continuously improve. Open-mindedness to explore unconventional solutions. Preferred Experience: Experience building self-service tooling and platforms. Experience designing and implementing Kappa architecture platforms. Experience with Databricks, including using their APIs to build pipelines. Contributions to open-source projects, such as creating Airflow operators. Perks & Benefits: Atlassian offers a wide range of perks and benefits to support you, your family, and your engagement with the community. Our offerings include: Comprehensive health coverage. Paid volunteer days to give back to your community. Wellness resources to support your mental and physical health. And much more to help you thrive both personally and professionally. This role offers you the opportunity to work on cutting-edge technologies, innovate at scale, and contribute to the overall growth and success of Atlassian. If you're passionate about data engineering, building scalable services, and working in a collaborative, fast-paced environment, we d love to hear from you! Qualification : A BS in Computer Science or equivalent professional experience.

Working at Atlassian At Atlassian, we give our employees the flexibility to choose their work environment whether it s in the office, working from home, or a combination of both. This flexibility allows Atlassians to balance their personal goals, family commitments, and other priorities. As a distributed-first company, we can hire people globally in any country where we have a legal entity. Interviews and onboarding are conducted virtually, ensuring a seamless process no matter where you are. Important: This role requires working during EMEA timezone hours to ensure effective collaboration across teams. About the Team: AI, Systems, and Technology (AIST) The AIST team at Atlassian focuses on driving transformative changes through Machine Learning (ML) and Artificial Intelligence (AI) solutions, particularly within our Customer Support Services (CSS) organization. Our goal is to enhance the efficiency and effectiveness of CSS through cutting-edge AI/ML innovations while emphasizing AI responsibility and Human-in-the-Loop methodologies. The team is a mix of Machine Learning Engineers, Data Scientists, Systems Engineers, and Software Engineers, offering a collaborative environment for knowledge sharing and professional growth. We work closely with various teams across the company, providing ample opportunities to contribute to high-impact projects. About the Role: Machine Learning Data Scientist As a Machine Learning Data Scientist at Atlassian, you will be responsible for developing and implementing machine learning algorithms, training sophisticated models, and collaborating with both technical and non-technical partners. Your work will directly contribute to expanding our AI/ML functionality in partnership with the CSS and Sales organizations. We are looking for a talented individual who is both data-driven and capable of aligning machine learning solutions with business objectives. What You ll Do: Develop and implement machine learning models, especially focusing on NLP (Natural Language Processing) and LLMs (Large Language Models) to solve business challenges. Lead end-to-end delivery of ML projects: from design and development to deployment and monitoring. Collaborate closely with cross-functional teams (including engineers, data scientists, and business stakeholders) to ensure the successful implementation of AI/ML solutions. Communicate complex data science concepts to a broad audience, creating a compelling narrative around the impact of ML on business goals. Guide and mentor peers, contributing to knowledge sharing and best practices within the team. What We Expect on Your First Day: 5+ years of experience in Data Science or related fields, with a solid background in Machine Learning. Expertise in applying a broad variety of ML methods, including NLP and LLMs, to solve complex business problems with large datasets. Proven experience in delivering ML projects end-to-end, from design and development to deployment and monitoring. Strong programming skills in Python or Java, with the ability to write efficient, scalable code. Familiarity with SQL, Spark, and cloud data environments like AWS or Databricks. Agile development mindset with an appreciation for continuous iteration and improvement. Exceptional communication skills, capable of explaining complex ML concepts to a diverse audience, including non-technical stakeholders. Nice to Have (Not Required): A post-graduate degree in a quantitative discipline, with at least 5+ years of relevant experience. Experience working in the consumer or B2C space, or domain knowledge in customer support and/or sales, including an understanding of the challenges and dynamics in these areas. Comfort in solving complex problems in ambiguous spaces where the solutions may not be clear from the start. Our Perks & Benefits: At Atlassian, we provide a wide range of perks and benefits to help you thrive, both at work and outside of it: Comprehensive health coverage to support your well-being. Paid volunteer days to encourage giving back to your community. Wellness resources to prioritize your mental and physical health. And much more to ensure that you have the support you need to excel in all aspects of your life. At Atlassian, you ll be part of a forward-thinking, collaborative team where you can make a meaningful impact with your skills in AI and machine learning. If you're passionate about solving real-world problems and driving transformation with data, we want to hear from you! Qualification : A post-graduate degree in a quantitative discipline, with at least 5+ years of relevant experience.

Position Title: Senior Data Engineer, Products and Platform Data Engineering About the Team: Atlassian's Data Engineering team is a highly skilled group dedicated to building world-class data solutions and applications that power crucial business decisions throughout the organization. We manage and maintain multiple analytical data models and pipelines across Atlassian, providing a unified way of analyzing products, customers, operations, and their interconnections. We re the backbone of the data-driven culture at Atlassian, supporting teams across Finance, Growth, Product Analysis, Customer Insights, Sales, and Marketing. We are looking for a Senior Data Engineer to join our Products and Platform Data Engineering team. This role reports to the Data Engineering Manager, based in Sydney. In this role, you will help build the infrastructure that enables our data solutions to grow and scale, making sure that business stakeholders have access to accurate and actionable insights. You ll partner closely with Data Analytics, Data Scientists, and various stakeholders to deliver high-impact data solutions across Atlassian's ecosystem. What You ll Do: Collaborate with Data and Business Teams: Partner with Product Analytics, Data Scientists, and other stakeholders to understand their needs and architect/build data solutions that provide valuable insights and drive business decisions. Design and Build Data Models and Pipelines: Develop scalable data models and build data acquisition/ingestion processes that can handle large volumes of data, ensuring they meet the product and business requirements. Develop Backend Systems: Build and maintain backend data systems that help Atlassian scale its data infrastructure, enabling seamless flow and access to critical data. Lead End-to-End Data Solutions: Take full ownership of building, scaling, and improving data pipelines and processes across Atlassian. You'll handle requirements from vague concepts, iterating to refine solutions rapidly. Improve Data Quality: Drive initiatives to improve the data quality within the team by using and enhancing internal tools and frameworks that automatically detect and resolve data quality issues. Mentor and Support Team Members: Help foster a culture of learning by mentoring junior engineers and ensuring best practices are maintained across the team. What We re Looking For: BS in Computer Science or equivalent experience. 8+ years of experience as a Senior Data Engineer or in a similar role, with a deep understanding of data engineering processes and infrastructure. Strong programming skills in Python (other languages such as Java or Scala are a plus) and experience with data-centric programming. Proficiency in SQL and experience designing and optimizing relational databases for large-scale data storage and retrieval. Experience with Spark (SparkSQL) and other tools in the big data ecosystem to build scalable data pipelines (e.g., Apache Kafka, Hive, Flink, etc.). Familiarity with AWS (Amazon Web Services) or similar cloud platforms and experience with services like EMR, S3, Kinesis, and RDS. Experience with data modeling and designing efficient storage solutions for both structured and unstructured data. Hands-on experience with scheduling frameworks like Airflow or equivalent tools to orchestrate workflows. Strong experience with Agile methodologies, including TDD, CICD, and continuous iteration for improvement. Problem-solving mindset: Ability to turn vague requirements into concrete solutions and handle complex challenges with creative, scalable solutions. Nice-to-Have Skills: Experience building self-service data platforms for internal teams to access and work with data independently. Experience with real-time data processing using technologies like Apache Kafka or Flink. Familiarity with Databricks and their APIs. Knowledge of monitoring and observability tools for ensuring high data quality and reliable data systems. At Atlassian, we believe in delivering high-quality solutions through collaboration, innovation, and a focus on customer success. This is a fantastic opportunity to join a fast-growing company and help build the data systems that power key business decisions across the organization. You will have the chance to work with cutting-edge technology and shape Atlassian s data-driven culture. If you're an experienced Data Engineer with a passion for building scalable data solutions and working with teams to drive business value, we d love to hear from you! Qualification : BS in Computer Science or equivalent experience.

About Coinbase At Coinbase, our mission is to increase economic freedom in the world. This ambitious goal drives everything we do as we work to build the emerging on-chain platform and with it, the future of the global financial system. Founded in 2012, Coinbase is one of the leading global platforms for buying, selling, and using crypto. With $300+ billion USD traded in a single quarter across 100+ countries, we re helping update a centuries-old financial system to establish Coinbase as the most trusted place for people and businesses to interact with cryptocurrency. The Platform Engineering team at Coinbase is tasked with building and maintaining the platforms critical to Coinbase s operations. This includes teams responsible for Product Foundations (Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure. Our Identity and Regulatory team is at the forefront of ensuring Coinbase can safely and securely onboard users, meeting the highest regulatory standards in the industry. We aim to create a trusted platform for customer identity, seamless access, and authorization across all Coinbase products and the wider crypto ecosystem. What You ll Be Doing (Responsibilities): Architect and develop the platform for identity and regulatory systems, ensuring scalability, security, and compliance. Provide technical structure and guidance to teams, collaborating closely with management and stakeholders to define strategic roadmaps. Manage individual project priorities, deadlines, and deliverables by leveraging your technical expertise. Mentor and train junior engineers on design techniques, coding standards, and best practices. Write high-quality, well-tested code that addresses customer needs and business goals. Contribute hands-on to coding and problem-solving as part of your daily work. Plan and implement the multi-year strategy for Identity and Regulatory engineering, in partnership with your technical leadership team. Collaborate with engineers, designers, product managers, and senior leadership to translate the vision into actionable quarterly roadmaps. Bring positive energy to every meeting and make all team members feel included and valued. Work with upstream teams and enforce SLAs for data availability and quality. What We Look for in You (Requirements): 10+ years of experience in software engineering, with a proven track record of successful projects and leadership. 4+ years of experience architecting big data systems, particularly with technologies like Apache Spark and Hive. Strong mentorship experience: you have actively upleveled junior engineers and set a high bar for engineering excellence. In-depth understanding of high-quality code and software engineering processes, and a commitment to fostering a culture of technical excellence. Passionate about building an open financial system that brings the world together, particularly in the crypto space. Nice to Haves: Experience with Golang, gRPC, Docker, and SQL. Familiarity working with finance and accounting teams. Expertise in performance tuning of big data systems. Coinbase is the best place for ambitious individuals who want to make a meaningful impact on the world. With a team of mission-driven overachievers, we push the boundaries of innovation in the financial world. Our culture is intense, and our work is challenging, but if you're ready to leave your mark on the future of global finance, there s no better place to be.

Machine Learning Engineering Manager Experience: 10+ years in Software Engineering, 2+ years in Engineering Management About Coinbase: At Coinbase, our mission is to increase economic freedom in the world. This massive, ambitious goal demands the best from us every day as we build the emerging on-chain platform and, with it, the future global financial system. To achieve our mission, we re looking for a candidate who is passionate about our mission and believes in the power of crypto and blockchain technology to modernize the financial system. If you thrive under pressure, relish working with top-tier colleagues, and actively seek feedback to continuously improve, Coinbase may be the place for you. The Role: We are seeking an experienced Machine Learning Engineering Manager to lead our ML team. This team is focused on developing and scaling a multi-cloud LLM platform that caters to Coinbase s customers and employees. With over 100 million customers globally, we leverage cutting-edge AI technologies to create solutions such as customer support chatbots and predictive systems, ensuring that we deliver exceptional customer experiences. As a hands-on leader, you'll be responsible for the continued growth of this team, working with industry-leading Large Language Models (LLMs) to provide innovative solutions for Coinbase customers and internal stakeholders. You will lead a team of talented engineers to deliver cutting-edge products while ensuring scalability, security, and customer-centricity. What You ll Be Doing: Lead a team of individual contributors (ICs) while also being hands-on with coding to build advanced ML solutions. Develop and implement the multi-year strategy for the Machine Learning Language team with the technical leadership within your team. Mentor and coach your direct reports, fostering growth and supporting career development. Act as a technical leader, making architectural decisions to scale and enhance the LLM platform. Collaborate with cross-functional teams (engineers, product managers, senior leadership) to shape and deliver a tangible roadmap every quarter. Work with talent acquisition teams to recruit top engineering talent, helping to build a culture of excellence at Coinbase. Drive processes to ensure engineering quality, meeting our engineering SLAs and adhering to best practices. Navigate through challenges and uncertainties such as dynamic product charters, crypto market volatility, and tight product delivery timelines. Manage a wide variety of stakeholders to ensure the delivery of ML-based solutions that meet company needs. What We Look For in You: At least 10 years of experience in software engineering. Minimum 2 years of engineering management experience leading teams. Experience managing engineers working with Machine Learning and backend technologies. Proven ability to design, build, and scale production ML applications, with hands-on experience in leading highly competent engineering teams. Strong understanding of high-quality code and software engineering processes. A passion for building an open financial system that brings the world together. Nice to Haves: BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field. Familiarity with Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python and data-related technologies. Expertise in model interpretability and responsible AI. Experience with data analysis and visualization. Coinbase is a fast-paced, high-energy environment where exceptional talent thrives. If you're ready to take on big challenges and make a direct impact on the future of global finance, we want you on our team. Join us and work alongside some of the best minds in the industry, driving innovation and shaping the future of crypto. Qualification : BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.

Machine Learning Engineer Experience: 5+ years in Machine Learning and Software Engineering About Coinbase: At Coinbase, our mission is to increase economic freedom globally. We are building the emerging on-chain platform that will power the future global financial system. To achieve this, we re looking for passionate individuals who believe in the transformative power of crypto and blockchain technology. If you thrive in a fast-paced environment, love solving hard problems, and want to leave your mark on the world, Coinbase is the place for you. About the Platform Product Group: Our engineers work to build a trusted, scalable, and compliant platform that operates with speed, efficiency, and quality. We build and maintain the critical platforms that support Coinbase s core services, including teams focused on Product Foundations (Identity, Payment, Risk, Proofing & Regulatory), Machine Learning, Customer Experience, and Infrastructure. The Role: As a Machine Learning Engineer at Coinbase, you will play a pivotal role in constructing essential infrastructure for the open financial system. You will work with diverse data sources, including the blockchain, to ensure millions of users can access cryptocurrency safely while detecting and preventing malicious entities. Additionally, your work will involve applying machine learning to enhance user experiences, such as improving recommendations, risk assessments, chatbots, and more. What You ll Be Doing: Apply cutting-edge machine learning techniques, including deep learning, large language models (LLMs), and graph neural networks, to solve a variety of challenges (fraud detection, recommendation systems, targeting, chatbots, blockchain mining, etc.). Develop and deploy robust, scalable, and low-maintenance ML solutions in production. Build and maintain tools and infrastructure to democratize machine learning resources across Coinbase, fostering a culture of ML adoption and innovation. What We Look For in You: 5+ years of industry experience as a machine learning and software engineer. Strong background in building backend systems at scale, focusing on data processing, machine learning, and analytics. Experience with at least one ML model: LLMs, GNN, deep learning, logistic regression, gradient boosting trees, etc. Proficiency in one or more of the following areas: data mining, information retrieval, advanced statistics, natural language processing, or computer vision. A commitment to Coinbase s core cultural values: positive energy, clear communication, curiosity, and being a builder. Nice to Haves: BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field. Familiarity with Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python and relevant ML frameworks. Experience with model interpretability and responsible AI practices. Strong skills in data analysis and visualization. Join a fast-paced, high-energy environment where you will work alongside the brightest minds in the industry. If you re ready to solve big challenges, create impactful solutions, and help shape the future of crypto, Coinbase is the place for you. Qualification : BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.

Forward Deployed AI Engineer Location: Remote - India About MongoDB MongoDB s mission is to empower innovators by unleashing the power of software and data. We enable organizations of all sizes to build, scale, and run modern applications by modernizing legacy workloads, embracing innovation, and harnessing AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database, available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With 175,000+ developers signing up monthly and leading enterprises like Samsung and Toyota trusting MongoDB, we are shaping the future of AI-powered applications. The Opportunity As a Forward Deployed AI Engineer on our newly established Field Engineering team, you will work directly with enterprise customers on high-impact AI-driven projects. This role blends technical expertise with strategic influence, enabling businesses to modernize legacy systems, accelerate cloud adoption, and integrate Generative AI solutions. Your contributions will also help shape MongoDB s product roadmap and ecosystem. What You ll Do Collaborate with enterprise clients to modernize applications, optimize performance, and unlock AI-driven insights using MongoDB. Develop and implement AI-powered tools and applications, leveraging state-of-the-art Generative AI technologies. Prototype and build scalable, resilient solutions that drive efficiency and innovation for customers. Work cross-functionally with engineering, product, and field teams to identify opportunities and influence MongoDB s AI strategy. Provide technical guidance and best practices for monolithic-to-microservices migrations and cloud adoption. 8+ years of software engineering experience, delivering impactful enterprise solutions. Expertise in Java, SQL, Python, and experience with test-driven development methodologies. Advanced degree (Master s/PhD) in Computer Science, Machine Learning, Mathematics, Network Engineering, or Electrical Engineering. Strong knowledge of AI/ML concepts, open-source AI tools, and cloud-based architectures. Experience designing and implementing AI-powered applications is highly preferred. Familiarity with monolithic vs. microservices architectures, including migration complexities. Strong problem-solving skills and the ability to tackle complex, un-Googleable challenges. Preferred: Academic research experience in AI/ML, parsing, or programming languages. Work at the forefront of AI and cloud transformation in a high-impact role. Be part of a collaborative, inclusive culture with strong career growth opportunities. Enjoy comprehensive benefits, including employee affinity groups, fertility assistance, and a generous parental leave policy. Equal Opportunity & Accommodations MongoDB is committed to fostering an inclusive workplace. We provide accommodations for individuals with disabilities during the application and interview process. Please inform your recruiter of any accommodations you require. Join us and help shape the future of AI-powered applications!

Key Accountabilities: Using Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting. If necessary, create prototypes to validate proposed ideas and solicit input from stakeholders. Excellent grasp of and expertise with test-driven development and continuous integration processes. Analysis and Design Converts high-level design to low-level design and implements it. Collaborate with Team Leads to define/clarify business requirements, estimate development costs, and finalize work plans. Run unit and integration tests on all created code Create and run unit and integration tests throughout the development lifecycle. Benchmark application code proactively to prevent performance and scalability concerns. Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management. Support and Troubleshooting Assist the Operations Team with any environmental issues that arise during application deployment in the Development, QA, Staging, and Production environments. Assist other teams in resolving issues that may develop as a result of applications or the integration of multiple components. Knowledge and Experience: Understanding of design concepts and architectural basics. Knowledge of performance engineering. Understanding of quality processes and estimate methods. Fundamental grasp of the project domain. The ability to transform functional and nonfunctional needs into system requirements. The ability to develop and code complicated applications is required. The ability to create test cases and scenarios based on specifications. Solid knowledge of SDLC and agile techniques. Knowledge of current technology and trends. Logical thinking and problem-solving abilities, as well as the capacity to collaborate. Primary skills: Cloud Platform, Azure, Databricks, ADF, ADO. Sought: SQL, Python, PowerBI. General Knowledge: PowerApps, Java. 6-10 years of experience in software development with minimum 2 years of cloud computing. Education: Bachelor of Science in Computer Science, Engineering, or related technical field. Qualification : Bachelor of Science in Computer Science, Engineering, or related technical field.

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Job Opening: Senior Content Specialist Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a globally recognized leader in the conversational AI space, helping enterprises deliver extraordinary experiences for their customers, employees, and contact center agents. Our no-code experience optimization (XO) platform and solutions are used by over 150 Fortune 2000 companies from sectors such as banking, insurance, healthcare, telecom, retail, manufacturing, and more, serving over 100M consumers and 500,000+ employees worldwide. With billions of interactions automated using AI-powered technology, we ve helped save over $500M for these companies. Our AI-first no-code platform includes solutions like SmartAssist (AI-first cloud contact center), BankAssist (AI-powered virtual assistant for retail banking), and others that optimize customer, employee, and agent experiences. Recognized by leading technology analysts like Gartner, Forrester, IDC, and others, we are a rapidly growing company and have recently secured Series C funding of $73.5M. About the Role In this role, you'll create a wide variety of content, from long-form blogs and whitepapers to short-form content like social media posts and infographics. You ll collaborate with product, customer success, and research teams to translate technical insights into valuable, educational, SEO-rich, and thought-provoking content that connects customer challenges with our solutions. Key Responsibilities Create high-impact content: Develop long-form assets (blogs, whitepapers, guides) and engaging short-form content (infographics, social media posts) that captivate our audience. Translate technical concepts: Understand our product s technical aspects and craft content that highlights customer pain points and business value. Leverage research & insights: Use customer stories, industry reports, and data-driven research to enrich content with credibility and depth. Drive thought leadership & engagement: Develop content that sparks discussions, educates audiences, and enhances brand authority in the industry. Optimize for SEO & discoverability: Write content that balances storytelling with keyword optimization to improve search rankings and organic reach. Collaborate cross-functionally: Work closely with product marketing, demand generation, and sales teams to align content with business goals and customer needs. Qualifications & Skills 5+ years of experience in content creation, marketing, or a related field. Proven experience in writing both long-form and short-form content that aligns with SEO best practices. Strong ability to understand and simplify complex technical concepts for diverse audiences. Exceptional writing, editing, and proofreading skills with a focus on clarity, style, and tone. Experience in creating content for a B2B audience, preferably in technology or AI sectors. Ability to collaborate with cross-functional teams to ensure content aligns with business goals and drives customer engagement. Work at the forefront of conversational AI technology, innovating for global enterprises. Join a rapidly growing company recognized by leading technology analysts in AI and automation. Be part of a passionate, diverse team driving AI innovations to enhance customer experiences worldwide. Founded in 2014 by serial entrepreneur Raj Koneru, Kore.ai is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. We re a diverse team of 500+ professionals, led by seasoned leadership with a mission to push AI innovations to the next level and serve customers worldwide.

Job Title: Blockchain Developer Job Type: Full-time Responsibilities: Design, implement, and support a distributed blockchain-based network. Develop Proof of Concepts (POC) and run pilot projects on various blockchain platforms. Write smart contracts and create other Distributed Ledger Technology (DLT) components. Implement cryptography and ensure an additional level of security within the DLT and its external endpoints. Work on integrating and implementing the latest blockchain improvement proposals and updates. Skills and Experience: Working knowledge of at least one blockchain framework, such as Ethereum, Hyperledger Fabric, or R3 Corda. Experience in REST API development and Test-driven development. Proficiency in at least one of the leading programming languages used for blockchain development (e.g., Java, NodeJS, Solidity). Strong understanding of common algorithms and data structures. Familiarity with basic cryptography and its application in blockchain technology. Familiarity with P2P (peer-to-peer) networks and decentralized systems. Strong knowledge of concurrency and writing efficient, safe multithreaded code. Demonstrated understanding of Blockchain fundamentals, including smart contracts and consensus algorithms. Fabric Developer or Administrator certification would be a huge plus. Experience with containerization (e.g., Docker) and cloud computing platforms like AWS or Azure is a plus. Education: Bachelor s or Master s degree from premier institutes (preferred). Experience: 3-10 years of experience in blockchain development or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and professional development. Collaborative and innovative work environment. Work on cutting-edge technologies and impactful blockchain projects. If you re passionate about blockchain and ready to take on exciting challenges, we d love to hear from you! Apply now and be part of the blockchain revolution! Qualification : Bachelors or Masters degree from premier institutes (preferred).