308 Distributed Computing Jobs

The Product Manager will play a key role in driving Shakti Cloud's client-facing AI and GPU-powered services portfolio. This position requires a combination of deep technical knowledge and strategic market leadership to shape, deliver, and scale products that establish industry benchmarks in terms of performance, flexibility, and customer value. You will be actively engaged in all stages of the product lifecycle, from initial definition and prototyping to development, deployment, and shaping the go-to-market (GTM) and monetization strategies to ensure our offerings remain competitive and deliver tangible business results. Your primary responsibilities will include leading the vision, roadmap, and go-to-market strategy for AI and GPU compute products by integrating customer requirements, market insights, and engineering capabilities to create impactful solutions. The focus will span across various areas such as Bare Metal and Virtual Machines to model inference, fine-tuning, and advanced AI capabilities like agents, RAG (Retrieval-Augmented Generation), and workload customization, all supported by a resilient, cloud-native infrastructure. Key Responsibilities: 1. **Product Vision & Strategy** Define and drive the product strategy and roadmap for client-facing AI and GPU compute services. Develop features including Bare Metal, Virtual Machines, agents, fine-tuning, RAG, and customization capabilities. Align product vision with broader business objectives and evolving market opportunities. Promote innovation in inference, foundation model architectures, and AI application ecosystems. 2. **Market Analysis & Competitive Positioning** Conduct thorough market research on GPU compute trends, AI/ML workloads, and emerging technologies. Compare with competitors to identify whitespace opportunities and maintain a leadership position. Utilize market insights to shape monetization, pricing, and consumption models. 3. **Customer Engagement & Advocacy** Act as the primary advocate for customer requirements, from enterprise clients to AI-native startups. Translate customer feedback into actionable features and enhancements. Deliver workshops, demos, proposals, and pre-sales support to drive adoption. 4. **Monetization & Consumption Model Strategy** Develop innovative consumption models aligned with customer usage patterns. Optimize resource allocation and profitability through data-driven pricing and packaging strategies. Launch programs to drive adoption while maximizing ROI. 5. **Cross-Functional Leadership** Collaborate with various teams to ensure smooth product launches and lifecycle management. Ensure alignment on technical capabilities, market positioning, and business priorities. 6. **Performance Monitoring & Continuous Improvement** Monitor adoption, revenue, performance, and customer satisfaction metrics. Adjust strategies based on data insights and market dynamics. Skills and Qualifications: **Essential Skills** Technical expertise in AI-ML domain. Strong understanding of cloud management platforms, cloud-native architectures, and distributed computing. Proven success in managing technical products throughout their lifecycle. Ability to define and execute monetization strategies for infrastructure products. Excellent communication skills to influence both technical and business stakeholders. **Additional Domain Expertise (Highly Desirable)** Experience with deep learning, data science, and NVIDIA GPUs; exposure to other GPU ecosystems is a plus. Familiarity with inference engines and optimization techniques. Understanding of AI application ecosystems, inference serving, and workload orchestration. Prior experience in HPC or large-scale AI cloud environments. **Behavioral Attributes** Passionate about technology and pushing boundaries. Strategic thinker with the ability to delve into technical details. Customer-centric approach to guide continuous product improvement. Collaborative leader inspiring cross-functional teams towards a shared vision. **Qualification & Experience** Bachelor's or Master's Degree in Computer Science, Engineering, or related field. MBA is a plus. 8-10 years of professional experience, with at least 5 years in product management for cloud services, AI/ML, or GPU infrastructure. Proven track record in delivering innovative products and driving market adoption.,

As a software engineer at Google, you will have a pivotal role in developing cutting-edge technologies that revolutionize how billions of users engage, explore, and communicate with information and each other. Our projects operate at an immense scale and go beyond traditional web search, encompassing various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI design, and mobile technologies. Your work will be crucial to Google's operations, with opportunities to transition between different teams and projects as both your skills and our dynamic business evolve. We are seeking engineers who are adaptable, demonstrate leadership qualities, and are eager to tackle new challenges across the entire technology stack as we drive innovation forward. As a member of the Android Systems team, you will be instrumental in enhancing the foundations of the Android operating system and collaborating with various Android teams within Google. Your contributions will extend to core Android elements and involve participation in multiple open-source initiatives, including the Linux kernel, Android OS, and the collective advancement of Android with our extensive partner network. Your responsibilities will encompass working on critical areas such as storage, filesystems, low-level performance, and system software, with a focus on enhancing Android's updatability, security, and overall quality. You will collaborate closely with leading experts from diverse fields to shape the future of Android and ensure its continued success in the market. Android, Google's open-source mobile operating system, powers over 3 billion devices globally, with a mission to democratize computing worldwide. Our vision is to leverage computing as a force for good, enabling universal access to information, economic opportunities, productivity, connectivity, and more. We are committed to making the benefits of cutting-edge computing accessible to everyone, providing a platform for original equipment manufacturers (OEMs) and developers to create innovative computing devices (smartphones, tablets, TVs, wearables, etc.) that cater to a global audience. Your role will involve designing, developing, and deploying features for a vast user base, working on critical system components like storage, filesystems, updatability, and virtualization. You will be instrumental in creating and delivering the Generic Kernel Image (GKI) for the next generation of devices, expanding development efforts across various sectors (Wear, Auto, TV, large screen, etc.), and establishing a reliable and secure foundation for the Android software ecosystem.,

As an AI Engineer at EY, you will have the opportunity to design, build, and deploy state-of-the-art generative AI solutions to address real-world problems. You will collaborate with diverse teams, including product managers and business stakeholders, to create innovative solutions that meet their needs. Your role will involve developing and implementing AI and Generative AI-based custom solutions, working with team members to deploy these systems into production, and ensuring their performance and reliability. Additionally, you will stay updated on the latest research in generative AI, mentor junior engineers, and contribute to the development of cutting-edge generative AI applications in various domains. To excel in this role, you should have 4-6 years of experience in designing, building, and deploying scalable machine learning models on cloud platforms like Azure or GCP. You should be proficient in working with generative AI models such as GANs, diffusion models, transformers, as well as deep learning models and techniques. Experience in areas like prompt engineering, computer vision, natural language processing, reinforcement learning, distributed computing, DevOps, and machine learning ethics will be beneficial. Moreover, your educational background should include a BS/MS degree in Computer Science, Engineering, or a related field. At EY, we are committed to providing equal opportunities to all candidates and welcome applications from individuals with diverse experiences and backgrounds. Join us at EY and contribute to building a better working world where data, AI, and advanced technology drive innovation and create value for clients, people, society, and the planet.,

As a Senior Staff Software Engineer at our full-stack team in Pune, you will play a crucial role in leading and contributing to the development of essential components of our systems. Your extensive experience and technical expertise will set you apart as you mentor junior and senior engineers, establish technical standards, and ensure the successful delivery of projects. This hybrid role combines remote and on-site work, with a requirement of 3 days in the office and relocation to Pune. Your responsibilities will include solving real business needs at a large scale, building high-quality and scalable code, collaborating with architects and product managers, troubleshooting complex problems, and leading all software lifecycle phases. You will serve as the Tech Lead within the team, guiding engineers, promoting growth, expertise, and providing effective technical leadership. Minimum Qualifications: - BS/MS in Computer Science or related majors, or equivalent experience - 12+ years of professional software development experience with a proven track record of technical leadership - Strong analytical and problem-solving skills with a bias toward action - Proficiency in Ruby on Rails - Deep understanding of distributed computing principles, data architecture, and scalable system design Preferred Qualifications: - Familiarity with relational data stores like MySQL and Aurora, and systems like MySQL, ElasticSearch, Redis - Experience with event-driven, distributed architecture using Kafka - Excellent communication skills - Self-motivated with a strong propensity for action and continuous improvement - Ability to thrive in high-energy, fast-paced environments Tech Stack: - Frontend primarily written in React (transitioning to Typescript) with a bit of Ember.js - Usage of Apollo for frontend data handling, REST APIs, and a GraphQL API gateway in Java - Backend server built on Ruby on Rails Join Zendesk's Product Development Center of Excellence in Pune and be a pivotal part of shaping the culture, processes, and success of the site. As an early hire, your expertise and insights will contribute directly to the growth and maturity of the center, influencing the way products are built and delivered at Zendesk. Zendesk offers a hybrid working model that allows for in-person collaboration and flexibility to work remotely part of the week. Candidates must be physically located and plan to work from Karnataka or Maharashtra. Come be a part of building a world-class development center with Zendesk! Zendesk values offering a fulfilling and inclusive experience to its employees. We believe in connecting, collaborating, and learning together while providing flexibility for remote work. If you require accommodations due to a disability, please reach out to us at peopleandplaces@zendesk.com with your specific request.,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide. Your responsibilities will include designing, implementing, and maintaining efficient and reliable solutions for Android to ensure optimal performance and user experience. You will collaborate with cross-functional teams to develop and integrate APIs that empower developers to create powerful applications. Additionally, you will be involved in the entire lifecycle of Android features, from ideation and design to implementation, testing, and deployment. Your expertise will be essential in investigating and resolving issues, bugs, and performance bottlenecks, in close collaboration with QA and other engineering teams. To succeed in this role, you must stay updated with the latest advancements in technologies and best practices, integrating them into the Android framework as needed. You will contribute to the development of documentation, guides, and best practices related to Android frameworks, ensuring clear communication and knowledge transfer within the organization. Moreover, you will provide technical guidance and mentorship to engineers, fostering a collaborative and knowledge-sharing environment within the team. Google's open-source mobile operating system, Android, powers over 3 billion devices globally, aiming to bring computing capabilities to everyone. The company envisions computing as a force for good, enabling access to information, economic opportunities, productivity, connectivity, and more. By providing a platform for OEMs and developers to create compelling computing devices, Google strives to offer the best computing experience to users worldwide.,

The Cloud Architect role involves creating architectural tenets and providing technology framework and best practices to support Finacles" cloud native journey. You will focus on designing systems and services that operate on cloud platforms such as AWS EKS, Azure AKS, Google GKE, and RedHat OpenShift. Your responsibilities will include ensuring that applications are designed and optimized for cost-effectiveness, elastic scalability, high availability, and disaster recovery. You will be tasked with developing a library of deployable and documented cloud design patterns based on the Finacles product portfolio for deploying services to the Cloud. As a Cloud Architect, you must showcase leadership by supporting decisions with research, data, and rationale. You should be able to present multiple options, their respective advantages and disadvantages, and provide a recommendation. It is essential to have a working knowledge and hands-on experience with AWS Services and a solid understanding of Kubernetes" internal architecture, tools, and challenges related to scaling enterprise-wide. Your expertise should extend to setting up Kubernetes clusters and designing end-to-end container management solutions, including cloud automation with AWS, Azure, and other platforms. Building and deploying Docker containers to transition from monolithic apps to microservices for improved developer workflow, scalability, and speed optimization are crucial aspects of this role. Furthermore, familiarity with key DevOps technologies such as Docker, Cloud Formation, AWS Code Pipeline, AWS Code Deploy, and AWS Code Commit CI/CD services is required. Proficiency in common development workflows using revision control systems like GIT or SVN is also necessary. A strong grasp of core architectural concepts, including distributed computing, scalability, availability, and performance, is expected. You should possess in-depth knowledge of deploying, managing, and monitoring AWS Cloud Infrastructure, including EC2, S3, IAM, VPC, ELB, RDS, and AWS network security setup. Experience in CloudFormation for orchestrating various AWS services, defining migration strategies, designing AWS network architecture, and troubleshooting problems across different technology layers in a Linux environment are key components of this role. Overall, the Cloud Architect plays a critical role in guiding Finacles" cloud initiatives and ensuring the effective utilization of cloud platforms for optimal performance and efficiency.,

Loti AI specializes in protecting major celebrities, public figures, and corporate IP from online threats, focusing on deepfake and impersonation detection. Founded in 2022, Loti offers likeness protection, content location and removal, and contract enforcement across various online platforms including social media and adult sites. The company's mission is to empower individuals to control their digital identities and privacy effectively. We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions. Key Responsibilities: Model Development and Optimization: Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems. Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs). Research and Innovation: Stay updated with the latest advancements in deep learning, AI, and related technologies. Develop novel architectures and techniques to push the boundaries of what's possible in AI applications. System Design and Deployment: Architect and implement scalable and reliable machine learning pipelines for training and inference. Collaborate with software and DevOps engineers to deploy models into production environments. Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables. Provide mentorship and technical guidance to junior team members and peers. Data Management: Collaborate with data engineering teams to preprocess, clean, and augment large datasets. Develop tools and processes for efficient data handling and annotation. Performance Evaluation: Define and monitor key performance metrics (KPIs) to evaluate model performance and impact. Conduct rigorous A/B testing and error analysis to continuously improve model outputs. Qualifications And Skills: Education: Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. PhD preferred. Experience: 5+ years of experience in developing and deploying deep learning models. Proven track record of delivering AI-driven products or research with measurable impact. Technical Skills: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn. Familiarity with distributed computing frameworks such as Spark or Dask. Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes). Domain Expertise: Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis. Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus. Soft Skills: Strong problem-solving skills and the ability to work independently. Excellent communication and collaboration abilities. Commitment to fostering a culture of innovation and excellence.,

At Medtronic, you can embark on a lifelong journey of exploration and innovation, all while contributing to the advancement of healthcare access and equity for everyone. Your role will involve leading with purpose to break down barriers to innovation in a more connected and compassionate world. As the SW Development Architect, you will play a crucial role in architecting the software capabilities of the full technology stack for the next generation enterprise Clinician Programmer and Patient Care Management system within the Cardiac Rhythm Management (CRM) division. This enterprise software supports clinicians worldwide for in-clinic implant, follow-up, and remote monitoring across 90+ geographies. Your responsibilities will include defining and communicating the vision for all aspects of CRM software, ensuring scalability, reliability, and maintainability of software solutions. You will collaborate with other architects and engineering teams to align business requirements with product architecture, driving technical viability while maximizing progress towards the vision. Additionally, you will be accountable for evaluating and improving software development tools and frameworks, enabling compliance with internal and external standards, and sharing best practices and architectural principles with the team. Your role will also involve serving as a technical voice for current and future-state software development practices, contributing to defining the direction for new products, processes, standards, and operational plans based on business strategy. To be successful in this role, you should have a B-Tech/BE or ME/M-Tech in Computer Science/Electronics with extensive experience in the software industry. Expertise in solution architecture, systems design, design patterns, and frameworks implementation for enterprise solutions is essential. You should also possess strong programming skills in languages such as C#, .NET, C, C++, and experience with technologies like MicroServices, Containerization, and the Microsoft technology stack. Furthermore, hands-on experience in defining UML, High-Level and Low-Level Design documents, designing secure solutions, and familiarity with Agile processes, deployment automation, and Continuous Integration/Continuous Delivery (CI/CD) is required. Experience with cloud-native architecture, Azure DevOps, and working with geographically distributed teams will be beneficial. Overall, this role offers the opportunity to contribute significantly to the advancement of healthcare technology and make a real impact on improving patient care globally at Medtronic.,

The Databricks Data Engineering Lead role requires a highly skilled individual who will architect and lead the implementation of scalable, high-performance data pipelines and platforms using the Databricks Lakehouse ecosystem. As a Data Engineering Lead, you will be responsible for managing a team of data engineers, establishing best practices, and collaborating with cross-functional stakeholders to unlock advanced analytics, AI/ML, and real-time decision-making capabilities. Your key responsibilities will include leading the design and development of modern data pipelines, data lakes, and lakehouse architectures using Databricks and Apache Spark. You will manage and mentor a team of data engineers, providing technical leadership and fostering a culture of excellence. Additionally, you will architect scalable ETL/ELT workflows to process structured and unstructured data from various sources (cloud, on-prem, streaming), build and maintain Delta Lake tables, and optimize performance for analytics, machine learning, and BI use cases. Collaboration with data scientists, analysts, and business teams to deliver high-quality, trusted, and timely data products is crucial. Ensuring best practices in data quality, governance, lineage, and security, including the use of Unity Catalog and access controls, will also be part of your responsibilities. Integration of Databricks with cloud platforms (AWS, Azure, or GCP) and data tools (Snowflake, Kafka, Tableau, Power BI, etc.) and implementation of CI/CD pipelines for data workflows using tools such as GitHub, Azure DevOps, or Jenkins are essential tasks. It is important to stay current with Databricks innovations and provide recommendations on platform strategy and architecture improvements. Qualifications for this role include a Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. You should have at least 7+ years of experience in data engineering, including 3+ years working with Databricks and Apache Spark. Proven leadership experience in managing and mentoring data engineering teams is required. Proficiency in PySpark, SQL, and experience with Delta Lake, Databricks Workflows, and MLflow are necessary skills. A strong understanding of data modeling, distributed computing, and performance tuning is essential. Familiarity with one or more major cloud platforms (Azure, AWS, GCP) and cloud-native services, experience implementing data governance and security in large-scale environments, and familiarity with real-time data processing using Structured Streaming or Kafka are also expected. Knowledge of data privacy, security frameworks, compliance standards (e.g., PCIDSS, GDPR), exposure to machine learning pipelines, notebooks, and ML Ops practices are additional qualifications required. A Databricks Certified Data Engineer or equivalent certification is preferred.,

You are an exceptionally talented Quantitative Developer who is passionate about designing and optimizing high-performance trading systems. Your role will involve building and refining trading infrastructure, handling vast amounts of market data, and collaborating with quantitative researchers to develop and enhance algorithmic trading systems. As a Senior Quantitative Developer, you will play a crucial role in strengthening the firm's trading capabilities by building robust, scalable systems that process real-time and historical financial data with minimal latency. Your responsibilities will include designing and optimizing scalable systems for high frequency & mid frequency market data capture and storage. You will enhance existing execution algorithms to reduce latency and improve execution efficiency. You will work on improving the in-house high-performance backtesting and live trading framework to validate and refine trading strategies using Python. Additionally, you will build real-time monitoring and risk management tools to track live trading performance. You will also focus on optimizing existing codebases for better speed, efficiency, and scalability. As a Senior Quantitative Developer, you will lead and mentor a small team of up to 2-3 junior developers, guiding them in their tasks and completing big projects as a team. To qualify for this role, you should have a B. Tech/M. Tech in Computer Science, Mathematics, or related fields from top-tier institutions (IITs, IISc, ISI, or equivalent). You must have 3-5 years of hands-on experience in software development, preferably in a high-performance computing or trading environment. Strong programming skills in Python/C++/Rust are essential, along with experience in handling large datasets, low-latency systems, and high-performance computing. Knowledge of database management (SQL, NoSQL) and network programming, understanding of OS concepts, data structures, algorithms, and distributed computing are required. Strong problem-solving and analytical skills are a must. Familiarity with market microstructure, quantitative finance, and statistical modeling is a plus. A passion for financial markets and algorithmic trading is highly desirable. This job opportunity was posted by Gaurav Jindal from Kivi Capital.,

You should possess a Post-Graduate degree in engineering, computer science, or mathematics, along with more than 5 years of relevant experience. Your knowledge should encompass computer vision, image processing, and machine learning, including scale invariant descriptors, high-dimension classifiers, and Deep learning methods. Previous experience with OCR and document lifecycle management will be beneficial. Your role will require you to swiftly prototype and assess algorithms, as well as devise practical solutions for intricate problems. Proficiency in C++ and an understanding of Multi-threading, concurrency, parallelism, and synchronization are essential. You should also have experience with code and memory profiling tools, build and configuration tools, and Distributed computing platforms. Moreover, exceptional written and verbal technical communication skills are crucial. You should be adept at simplifying complex solutions into easy-to-understand terms. Being resourceful, collaborative, creative, results-driven, and an adaptable team player are qualities that will be highly valued. For preferred qualifications, a PhD or MTech in computer vision, machine learning, or a related discipline, with a minimum of 2 years of industry experience is desirable. Additionally, experience in Distributed computing platforms and developing compact vision algorithms on Mobile platforms would be advantageous. If you meet these qualifications and possess the aforementioned skills and attributes, we look forward to the possibility of you joining our team.,

As a Software Engineer at Google, you will utilize your Bachelor's degree or equivalent practical experience along with 5 years of software development experience in various programming languages to develop innovative technologies that impact billions of users worldwide. Your role will involve full stack development, encompassing back-end technologies such as Java, Python, Golang, or C++, as well as front-end technologies like JavaScript or TypeScript, HTML, and CSS. With 3 years of experience in testing, maintaining, and launching software products, you will contribute to creating scalable solutions that extend beyond web search. In this position, your responsibilities will include writing and testing product or system development code, leading design reviews with peers and stakeholders to select appropriate technologies, and reviewing code developed by other team members to ensure adherence to best practices. Your expertise in software design and architecture, coupled with 5 years of experience with data structures/algorithms, will be instrumental in your success in this role. Ideally, you will hold a Master's degree or PhD in Computer Science or a related technical field, have experience in a technical leadership role, and possess a strong background in developing accessible technologies. Your adaptability, leadership skills, and enthusiasm for tackling new challenges across the full stack will be critical as you work on projects essential to Google's growth and evolution. Join us at Corp Eng, where we create cutting-edge business solutions that enhance the Google experience for all users. As part of Google's IT organization, we provide comprehensive solutions for teams across the company, empowering Googlers to develop more helpful products and services. Your role will involve triaging product or system issues, debugging, tracking, and resolving them by analyzing their sources and impact on hardware, network, and service operations. If you are passionate about shaping the future of technology and eager to contribute your skills to a dynamic and fast-paced environment, we invite you to join our team of versatile and innovative engineers at Google.,

Job Description: As a leader at a Fortune Global 500 organization, you will be responsible for advocating various data science teams on best practices surrounding the development and implementation of advanced analytic systems and predictive and prescriptive models. Working closely with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects, you will play a crucial role in creating and delivering insights from large and disparate data to enable confident business decisions. Your role will involve evaluating and adopting emerging technologies that support statistical modeling, machine learning, distributed computing, and run-time performance tuning to optimize processes and introduce new products and services to the market. Additionally, you will support senior leadership by planning and executing broad advanced analytics initiatives aimed at delivering value to both internal and external stakeholders. Furthermore, you may also be involved in managing people within the department. Responsibilities: - Lead and oversee the data analysts, data scientist team, machine learning engineers, and big data specialists to implement models and systems that provide optimal results and are scalable to meet future business needs. - Serve as a subject matter expert on UPS business processes, data, and advanced analytics capabilities to define problems, data, and model requirements using proven predictive and prescriptive techniques. - Maintain a broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to develop strategies that support the creation, development, and delivery of analytic solutions aligned with business needs. - Prototype algorithms to ensure analytic results address problem statements and business requirements effectively. - Interpret and analyze large-scale datasets to uncover insights supporting the building of analytic systems and predictive models while experimenting with new and emerging techniques. - Identify and evaluate cutting-edge open-source, data science/machine learning libraries, data platforms, and vendor solutions to prioritize and plan data projects across the enterprise. - Provide thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, recommend courses of action, and design and implement solutions. - Advocate for best practices in the adoption of Cloud-AI technologies, open-source software, machine learning libraries/packages, and data science platforms to derive actionable insights empowering business decisions. - Communicate effectively with business customers and the senior leadership team with varying levels of technical knowledge, educate them about systems, and share insights and recommendations to inform business strategies. - Manage analytics projects/teams and act as a point of contact to ensure alignment of team actions and communication with stakeholders to keep projects on track with goals. Qualifications: - Ability to engage key business and executive-level stakeholders to translate business problems into high-level analytics solutions. - Extensive experience working with large-scale, complex datasets to develop machine learning, predictive, forecasting, and optimization models. - Proven track record of handling ambiguity, prioritizing needs, and delivering results in a dynamic environment. - Expertise in data management pipelines involving data extraction, analysis, and transformation using data querying languages (e.g. SQL, NoSQL, BQ) or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). - Hands-on experience in launching moderate to large-scale advanced analytics projects in production at scale; utilizing Cloud-AI technologies, machine learning frameworks, and enterprise data science platforms. - Ability to explain technical concepts to non-experts, strong analytical skills, attention to detail. - Direct experience in developing analytical solutions empowering business decisions and product creation using various techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP). - Excellent verbal and written communication skills with the ability to convey data through a story framework, present data-driven results to technical and non-technical audiences, and advocate technical solutions to diverse groups. - Master's Degree in a quantitative field such as mathematics, computer science, physics, economics, engineering, statistics, or equivalent job experience. Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.,

As a Visionary System Design at our organization, you will have the exciting opportunity to architect the foundation of what could potentially be the first true productized Artificial General Intelligence (AGI). You will collaborate closely with passionate individuals across various departments including product, research, and operations. Your problem-solving skills will be put to the test as you navigate complexity and view it as a canvas for innovation. Effective communication and collaboration will be key as you inspire clarity amidst chaos and drive alignment towards ambitious goals. Your experience in scalable engineering leadership will be essential in building platforms that can scale across data, people, and purpose, ultimately contributing to making the world a better place through technology. The ideal candidate for this role will not only be responsible for designing and scaling the core architecture of this ambitious initiative but also for nurturing and leading a high-performance engineering team. You must possess deep technical expertise in systems design, machine learning infrastructure, and product engineering. Additionally, the ability to collaborate effectively with research scientists, product teams, and executive leadership is crucial for success in this position. **Responsibilities:** - **Technical Strategy & Architecture:** Design a future-ready, modular, and scalable platform to support AGI research, deployment, and iteration. - **Team Leadership:** Recruit, develop, and lead a top-tier engineering team specializing in systems, infrastructure, tooling, and ML integration. - **Collaboration with Research:** Translate research advancements into robust, production-grade engineering systems. - **Platform Engineering:** Develop APIs, frameworks, and services that transform AGI capabilities into usable product modules. - **Security & Ethics by Design:** Ensure that systems are secure, ethical, and in alignment with responsible AI development practices. - **Innovation Ownership:** Identify opportunities for innovative approaches to large-scale data handling, knowledge representation, and computation. - **Cross-functional Leadership:** Collaborate with Product, Design, and Strategy teams to define features, roadmap, and key performance indicators (KPIs). **Qualifications:** - **Degree:** B.Tech / M.Tech / PhD in Computer Science, Electrical Engineering, or related field. - **Experience:** Minimum of 10 years in software engineering, with at least 3 years in technical leadership roles overseeing platform/infrastructure for ML or distributed systems. - **Expertise:** Demonstrated ability to architect systems at scale including distributed computing, real-time data pipelines, model serving, and orchestration. - **Tools:** Proficiency in Kubernetes, ML platforms (e.g., Ray, JAX, PyTorch), CI/CD, and cloud-native architecture. - **AGI-Aligned Vision:** Strong grasp of ML/AI fundamentals and a commitment to co-create responsible and impactful AGI. If you are a candidate who thrives in challenging environments, values diversity and inclusivity, and enjoys working in a dynamic and slightly unconventional setting, we encourage you to apply. We are looking for individuals who resonate with our organizational values and culture, and who share our dedication to excellence. Join us on this exciting journey by submitting your application now!,

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. We are a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hiring Hadoop Professionals in the following areas: **Position Title:** Data Engineer **SCOPE OF RESPONSIBILITY:** As part of a global, growing team of data engineers, you will collaborate in a DevOps model to enable Clients Life Science business with cutting-edge technology, leveraging data as an asset to support better decision-making. You will design, develop, test, and support automated end-to-end data pipelines and applications within Life Sciences data management and analytics platform (Palantir Foundry, Hadoop, and other components). This position requires proficiency in data engineering, distributed computation, and DevOps methodologies, utilizing AWS infrastructure and on-premises data centers to support multiple technology stacks. **PURPOSE OF THE POSITION:** The purpose of this role is to build and maintain data pipelines, develop applications on various platforms, and support data-driven decision-making processes across clients Life Science business. You will work closely with cross-functional teams, including business users, data scientists, and data analysts, while ensuring the best balance between technical feasibility and business requirements. **RESPONSIBILITIES:** - Develop data pipelines by ingesting various structured and unstructured data sources into Palantir Foundry. - Participate in end-to-end project lifecycles, from requirements analysis to deployment and operations. - Act as a business analyst for developing requirements related to Foundry pipelines. - Review code developed by other data engineers, ensuring adherence to platform standards and functional specifications. - Document technical work professionally and create high-quality technical documentation. - Balance technical feasibility with strict business requirements. - Deploy applications on Foundry platform infrastructure with clearly defined checks. - Implement changes and bug fixes following clients change management framework. - Work in DevOps project setups following Agile principles (e.g., Scrum). - Act as third-level support for critical applications, resolving complex incidents and debugging problems across the full stack. - Work closely with business users, data scientists, and analysts to design physical data models. - Provide support in designing ETL/ELT processes with databases and Hadoop platforms. **EDUCATION:** Bachelors degree or higher in Computer Science, Engineering, Mathematics, Physical Sciences, or related fields. **EXPERIENCE:** 5+ years of experience in system engineering or software development. 3+ years of experience in engineering with a focus on ETL work involving databases and Hadoop platforms. **TECHNICAL SKILLS:** - Hadoop General: Deep knowledge of distributed file system concepts, map-reduce principles, and distributed computing. Familiarity with Spark and its differences from MapReduce. - Data Management: Proficient in technical data management tasks such as reading, transforming, and storing data, including experience with XML/JSON and REST APIs. - Spark: Experience in launching Spark jobs in both client and cluster modes, with an understanding of property settings that impact performance. - Application Development: Familiarity with HTML, CSS, JavaScript, and basic visual design competencies. - SCC/Git: Experienced in using source code control systems like Git. - ETL/ELT: Experience developing ETL/ELT processes, including loading data from enterprise-level RDBMS systems (e.g., Oracle, DB2, MySQL). - Authorization: Basic understanding of user authorization, preferably with Apache Ranger. - Programming: Proficient in Python, with expertise in at least one high-level language (e.g., Java, C, Scala). Must have experience using REST APIs. - SQL: Expertise in SQL for manipulating database data, including views, functions, stored procedures, and exception handling. - AWS: General knowledge of the AWS stack (EC2, S3, EBS, etc.). - IT Process Compliance: Experience with SDLC processes, change control, and ITIL (incident, problem, and change management). **REQUIRED SKILLS:** - Strong problem-solving skills with an analytical mindset. - Excellent communication skills to collaborate with both technical and non-technical teams. - Experience working in Agile/DevOps teams, utilizing Scrum principles. - Ability to thrive in a fast-paced, dynamic environment while managing multiple tasks. - Strong organizational skills with attention to detail. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles - Flexible work arrangements, Free spirit, and emotional positivity; Agile self-determination, trust, transparency, and open collaboration; All Support needed for the realization of business goals; Stable employment with a great atmosphere and ethical corporate culture.,

You will be responsible for designing and developing machine learning software solutions for semiconductor device and thin film metrology. This will involve working closely with both internal and external customers to define requirements and then building machine learning-based solutions. You will be optimizing algorithms and prototypical solutions for efficient implementation and designing, developing, implementing, overseeing, and adapting APIs. Your role will also include extending prototypes into fully functional, polished solutions ready for internal and/or external use. You will be implementing solutions in Python with TensorFlow, writing comprehensive unit tests, and providing technical support during alpha and beta testing. Additionally, you will be documenting the design and implementation of the software solutions and giving presentations both internally and externally regarding the work. Furthermore, you will be maintaining new and existing software solutions throughout the life-cycle of the tools. Preferred qualifications for this position include a strong background in machine learning using regression models and the TensorFlow framework, as well as experience in software architecture, modern development practices, and design patterns. Additionally, a background in Python or C#, especially in writing production-quality, object-oriented code, is desired. Experience in parallel/distributed computing, performance profiling, and memory optimization would be beneficial. Knowledge of API development and Azure DevOps is a plus. Experience in computational physics, numerical simulations, and semiconductors (electrical properties, manufacturing, and metrology) would also be advantageous. Moreover, the ability and willingness to travel worldwide to support projects at customer sites is considered beneficial for this role. In return, we offer a competitive and family-friendly total rewards package. Our programs are designed to reflect our commitment to an inclusive environment while ensuring that we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer.,

The Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the position of Assistant Professor / Associate Professor / Professor. Located in Kollam, Kerala, the department is looking to fill a total of 5 positions. The ideal candidates should hold a B.Tech, M.Tech, and Ph.D. in Computer Science & Engineering. Candidates with a Ph.D. or Post-Doc from a highly ranked (top 200) university will be given preference. Strong teaching experience, a robust research background, and graduation of PhD scholars are required for the Associate Professor and Professor roles. Research scholars who have submitted their PhD thesis are also encouraged to apply for the Assistant Professor position. Interested individuals with expertise in areas such as Robotics and Artificial Intelligence, Data Science, Cybersecurity & Networking, Parallel and Distributed Computing, Embedded Systems / Robotics, Computer Architecture and Specialization, Computational Biology, Computational Linguistics, Human-Computer Interface / Computer Graphics, Research in Speech / Signal Processing, Complex Networks / Knowledge Graphs / Web Analytics, Big Data Analytics, Cloud Computing, Web / Mobile / Game Development, and Theoretical Computer Science / Algorithms are invited to submit their C.V. with SCOPUS ID/ORCID and publication list to csjobs@am.amrita.edu. This position falls under the category of Teaching and the last date to apply is December 31, 2024. For further details, please contact csjobs@am.amrita.edu.,

As a software engineer at Google, you will play a vital role in developing cutting-edge technologies that revolutionize how billions of users worldwide connect, explore, and engage with information. Our innovative products operate at a massive scale, transcending conventional web search boundaries. We are seeking engineers who can contribute fresh perspectives across diverse domains such as information retrieval, distributed computing, system architecture, networking, security, artificial intelligence, UI/UX design, and more. In this dynamic role, you will collaborate on mission-critical projects essential to Google's growth, with the flexibility to transition between teams and initiatives as both you and our fast-paced business evolve. Versatility, leadership acumen, and a passion for tackling new challenges across the full technology stack are key attributes we value in our engineers as we drive technological progress forward. Google's overarching mission is to organize the world's information and enhance its accessibility and utility for all individuals. Our team synergizes Google AI, Software, and Hardware expertise to craft exceptionally beneficial digital experiences. Through dedicated research, design, and development efforts, we aim to accelerate computing speed, seamlessness, and potency, ultimately enhancing people's lives through transformative technology. **Minimum Qualifications:** - Bachelor's degree or equivalent practical experience. - 2 years of software development experience in one or more programming languages, or 1 year of experience with an advanced degree. - 2 years of experience constructing developer tools (e.g., compilers, automated releases, code design, testing, test automation frameworks). **Preferred Qualifications:** - Master's degree or PhD in Computer Science or related technical fields. - 2 years of experience with data structures or algorithms. - Proficiency in developing accessible technologies. **Responsibilities:** - Develop code for products or systems. - Facilitate design reviews with peers and stakeholders to assess technology alternatives. - Conduct code reviews of peers" work to ensure compliance with best practices, including style guidelines, accuracy, testability, and efficiency. - Enhance documentation and educational materials in response to product modifications and user feedback. - Troubleshoot and resolve system issues by investigating root causes and operational implications.,

We are seeking an experienced Machine Learning Engineer / Databricks Architect to join our team and contribute to the development of state-of-the-art, scalable ML and big data solutions. The ideal candidate should have over 8 years of experience in designing ML infrastructure and big data systems, with a strong emphasis on Databricks. Possession of Databricks Architect Certification is mandatory for this role. In addition, the candidate should have at least 4 years of practical experience working with Databricks. The successful candidate should be well-versed in orchestration tools such as Airflow, Kubeflow, DAGster, Optuna, etc. They should also have a solid understanding of CI/CD and DevOps tools like Jenkins, Terraform, and CloudFormation. Proficiency in distributed computing technologies including Apache Spark, EMR/DataProc, and Glue is essential for this role. Hands-on experience with containerization and orchestration tools like Docker and Kubernetes will be highly valued. If you are enthusiastic about constructing scalable ML platforms and have a knack for working with modern cloud-native technologies, we are eager to learn more about you! Feel free to reach out by sending a direct message or submitting your resume to [ankita.gupta@mbww.com]. This position is based in Pune and offers a hybrid working arrangement. Thank you for considering this exciting opportunity!,

As a software engineer at Google, you will be part of a dynamic team that develops cutting-edge technologies to revolutionize how billions of users connect, explore, and engage with information and each other. The products you work on will need to manage data at an enormous scale, going beyond traditional web search. We are seeking engineers who can bring innovative ideas from various fields such as information retrieval, distributed computing, system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technology. In this role, you will have the opportunity to work on critical projects that are essential for Google's operations, with the flexibility to transition between different teams and projects as both you and the business evolve. We expect our engineers to be adaptable, demonstrate leadership skills, and be eager to tackle new challenges across the entire technology stack as we drive innovation forward. The Core team focuses on building the foundational technology that powers Google's flagship products. We are responsible for the fundamental design elements, developer platforms, product components, and infrastructure at Google. These components form the basis for delivering exceptional, secure, and seamless user experiences, setting the stage for innovation across all developers. As a member of the Core team, you will have a significant influence on critical technical decisions throughout the company. Your responsibilities will include providing technical leadership on projects, collaborating on road-map planning, working closely with infrastructure and client teams on integrations, productionizing and deploying infrastructure, developing large-scale distributed systems, and reviewing the designs and code of fellow engineers to ensure quality and accuracy. If you have a Bachelor's degree or equivalent practical experience, along with 8 years of software development experience, 5 years of experience in testing and launching software products, 3 years of experience in software design and architecture, and familiarity with distributed databases and large-scale distributed systems, we encourage you to apply. Additionally, a Master's degree or PhD in Engineering, Computer Science, or a related technical field, as well as experience in SQL, database internals, or storage systems, would be advantageous for this role.,

The role requires demonstrated hand-on technical and leadership experience supporting large organizations, preferably in the financial industry. You will drive process transformations, technology adoptions, and application implementation and have expertise in some or all of the following areas: hands-on experience building and using enterprise-class technical solutions, Micro-Service development & management, Internal, Hybrid, or External cloud architectures, and Python & LLM tools. Development Value: This role offers an excellent opportunity to learn IA and work on an integrated platform for Internal Audit. You will have the chance to enhance domain skills in Governance, Risk, and Compliance. Additionally, you will work directly with one of the best technology teams on Wall Street. Key Responsibilities: As a Java Team lead for a suite of applications within Citi Risk & Control, you will be responsible for owning a module and collaborating with the team to deliver results. You should be able to lead a team in delivering complex system designs, understand requirements, code, and unit test required components. Supporting acceptance tests and production tests, reporting progress on work, and collaborating with the existing global team are also key responsibilities. Keeping abreast of the latest technological developments in your work area and contributing relevant ideas and concepts to the table is essential. Skills: You should have deep expertise in building applications for large, global organizations. Hands-on experience with Java/J2EE and related technologies, Python, & LLM tools, as well as experience with the latest technologies in Distributed Computing and Big Data ecosystem are required. A minimum of 8 years of experience in implementing applications using J2EE, microservices, OOP fundamentals, programming languages, and web frameworks is necessary. Additionally, you should contribute to defining and establishing frameworks and best practices required for enterprise-class solutions. Knowledge of cloud computing and deployment strategies using virtual environments, prioritization and schedule management under tight deadlines, as well as the ability to produce professional, technically sound, and visually appealing presentations and architecture designs are important skills to possess. Strong writing, communication, time-management, decision-making, and basic task organization skills are also required. Experience creating high-level technical/process documentation and presentations for audiences at various levels and editing technical, business, and process documentation in an Information Technology/Engineering environment is a must. Working knowledge of Oracle RDBMS, data models, relational database systems, source code control systems, unit test frameworks, build and deployment tools, data management systems, and business analytics is essential. Strong knowledge in RDBMS and/or NoSQL technologies is also necessary. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. You can also view Citis EEO Policy Statement and the Know Your Rights poster.,

Avion manufactures Full Flight Simulators for the Airbus A320 Family and Boeing 737 NG & MAX. They operate Flight Training Centres at London Luton Airport and Mumbai, India. Gen24 Flybiz offers comprehensive services for aspiring pilots, airlines, and training organizations. In 2025, the Avion Flight Training Centre Mumbai - operated by Gen24 Flybiz - will be opened. At the facility, pilots can train on state-of-the-art Full Flight Simulators (FFS) and Flight Navigation Procedures Trainer (FNPTII) devices. Currently, the centre operates two Airbus A320neo Full Flight Simulators from Avion and an A320 FNPTII for APS MCC training, built by Simnest. Over the coming years, the plan is to expand to six to eight Full Flight Simulators, including additional Airbus A320s and Boeing 737 MAX devices, to provide comprehensive training solutions for airlines and individual pilots. Gen24 is in search of a Core Software Engineer to assist in developing core software for Full Flight Simulators. The core software enables distributed real-time simulation of all necessary models for the simulation. It allows user interaction with the simulation through the Instructor Operating System and generates simulated graphics for the cockpit displays. It also includes various Graphical User Interfaces (GUIs) used by developers and simulator maintenance personnel. Responsibilities include designing and developing supporting tools for the core framework such as real-time monitoring, graphical user interfaces, graphics generator editor, diagnostic tools, and mobile and web applications. The role also involves maintaining and upgrading key components of the core framework, including real-time scheduling, shared memory, multi-node syncing, graphics generator, and mobile and web applications. The ideal candidate should possess high analytical skills, the ability to translate high-level functional requirements into technical specifications, experience in software development in C++, Scala, Java, or related languages, familiarity with GUI development, preferably in JavaFX or QT, good verbal and written communication skills in English, a strong work ethic, and the ability to learn and adapt quickly. Desirable skills and experience include affinity with real-time simulation, distributed computing, multithreading, knowledge of data structures in memory and network protocols like UDP and TCP, familiarity with Object-Oriented Programming and Design Patterns, knowledge of Scala (or Java), OpenGL, reverse engineering of code, troubleshooting, full-stack web development, experience with Python, JavaScript, Scala, Svelte, markup languages (HTML, XML, LaTeX), web application design, and mobile application development. This job position is based at the Avion Flight Training Centre (operated by Gen24) in Mumbai, India. Working at Gen24 offers a challenging job in a successful and entrepreneurial environment with a high degree of freedom in acting. Collaboration within and between teams is essential, along with close cooperation with partners and customers. Gen24 provides support, training, and opportunities for personal development in a stimulating and inspiring environment. Gen24 values diversity and inclusivity, encouraging individuals from all backgrounds and perspectives to apply. They are committed to fostering an inclusive and transparent work environment where every voice is heard and acknowledged. If you believe you meet the criteria and are ready for a new challenge, Gen24 looks forward to hearing from you. You can apply through the Join.com webpage, including your motivation letter and resume.,

You should have 9+ years of experience and be located in Chennai. You must possess in-depth knowledge of Python and have good experience in creating APIs using FastAPI. It is essential to have exposure to data libraries like Pandas, DataFrame, NumPy etc., as well as knowledge in Apache open-source components. Experience with Apache Spark, Lakehouse architecture, and Open table formats is required. You should also have knowledge in automated unit testing, preferably using PyTest, and exposure in distributed computing. Experience working in a Linux environment is necessary, and working knowledge in Kubernetes would be an added advantage. Basic exposure to ML and MLOps would also be advantageous.,

We are seeking a Senior Data Engineer who is proficient in Azure Databricks, PySpark, and distributed computing to create and enhance scalable ETL pipelines specifically for manufacturing analytics. Your responsibilities will include working with industrial data to support real-time and batch data processing needs. Your role will involve constructing scalable real-time and batch processing workflows utilizing Azure Databricks, PySpark, and Apache Spark. You will be responsible for data pre-processing tasks such as cleaning, transformation, deduplication, normalization, encoding, and scaling to guarantee high-quality input for downstream analytics. Designing and managing cloud-based data architectures, like data lakes, lakehouses, and warehouses, following the Medallion Architecture, will also be part of your duties. You will be expected to deploy and optimize data solutions on Azure, AWS, or GCP, focusing on performance, security, and scalability. Developing and optimizing ETL/ELT pipelines for structured and unstructured data sourced from IoT, MES, SCADA, LIMS, and ERP systems and automating data workflows using CI/CD and DevOps best practices for security and compliance will also be essential. Monitoring, troubleshooting, and enhancing data pipelines for high availability and reliability, as well as utilizing Docker and Kubernetes for scalable data processing, will be key aspects of your role. Collaboration with automation teams will also be required for effective project delivery. The ideal candidate will hold a Bachelors or Masters degree in Computer Science, Information Technology, or a related field, with a specific requirement for IIT Graduates. You should possess at least 4 years of experience in data engineering with a focus on cloud platforms like Azure, AWS, or GCP. Proficiency in PySpark, Azure Databricks, Python, Apache Spark, and expertise in various databases (relational, time series, and NoSQL) is necessary. Experience in containerization tools like Docker and Kubernetes, strong analytical and problem-solving skills, familiarity with MLOps and DevOps practices, excellent communication and collaboration abilities, and the flexibility to adapt to a dynamic startup environment are desirable qualities for this role.,

As an ideal candidate for this role, you should possess in-depth knowledge of Python and have good experience in creating APIs using FastAPI. You should also have exposure to data libraries like Pandas, DataFrame, NumPy, as well as knowledge in Apache open-source components and Apache Spark. Familiarity with Lakehouse architecture and Open table formats is also desirable. Additionally, you should be well-versed in automated unit testing, preferably using PyTest, and have exposure to distributed computing. Experience working in a Linux environment is a must, while working knowledge in Kubernetes would be considered an added advantage. Basic exposure to ML and MLOps would also be advantageous for this role.,