67 Distributed Algorithms Jobs nearby Kalyan

You are a Software Engineer Senior Java at a leading global software company dedicated to computer-aided design, 3D modeling, and simulation. You will be based in Pune, India. Your role involves designing, developing, modifying, and implementing software programming for products, focusing on surpassing customer expectations in terms of quality and timely delivery. You will also be responsible for ensuring the overall functional quality of the released product on all required platforms. Additionally, you will mentor and provide technical guidance to a team of software engineers through the complete software development lifecycle. Key Responsibilities: - Design, develop, modify, and implement software programming for products to exceed customer expectations in terms of quality and on-time delivery. - Ensure the overall functional quality of the released product on all required platforms. - Understand sophisticated products, data models, and communication protocols. - Mentor and provide technical guidance to a team of software engineers. - Create, document, and implement software designs involving complicated workflows or multiple product areas. - Collaborate with other test engineers within the R&D Unit to set and drive the overall development strategy. - Provide guidance and coaching to improve productivity, efficiency, and product quality. - Set the strategy and approach for non-functional requirements such as performance and scalability. - Drive automation where applicable. Qualifications and Skills: - 12+ years of programming experience using Java, Python, TypeScript, NodeJS. - Experience in SQL and/or NoSQL Database concepts. - Understanding of business intelligence domain use cases, experience with Grafana. - 2+ years of professional experience in Machine Learning and Artificial Intelligence. - Experience in RESTful APIs, Microservices, and Containerization. - Cloud solutions experience, with a preference for AWS. - Full stack development experience in analytics and data presentation use cases. - Experience in SDKs, Distributed systems, RDBMS, Client-Server Architecture. - Proficient in Gitlab, NPM, Sonar Cube, Terraform, Helm Charts. - System-design and API design experience. - Strong knowledge of Computer Science fundamentals, object-oriented design, data structures, algorithms, and Data Mesh architecture. - Ability to collaborate effectively across disciplines, roles, and geographical boundaries. - Proficiency in Agile development, CI/CD, and Test-Driven Development (TDD). - Cross-location communication skills and proficiency in the English language. - Flexibility to adapt to different stakeholders and environments. - Willingness to work in an open-feedback environment focused on continuous improvement. - 5+ years of experience mentoring colleagues. - Experience with challenging business partners, scoping requests, and collaborator management between different business units and management levels. Join us at Siemens, where over 377,000 minds across 200 countries are shaping the future. We value diversity and equality in our workforce. If you're passionate about creativity and innovation, we welcome your application through our career platform on siemens.com. Apply now and be a part of building tomorrow!,

Role Overview: You will be part of a team working on designing and building high-performance backend services, solving complex architecture puzzles across distributed systems, and working on various aspects such as APIs, microservices, messaging, and event-driven pipelines. You will also have the opportunity to contribute to devops and tooling, including Docker, CI/CD, and cloud infrastructure. Key Responsibilities: - Designing and building high-performance backend services - Solving complex architecture puzzles across distributed systems - Working on APIs, microservices, messaging, and event-driven pipelines - Contributing to devops/tooling such as Docker, CI/CD, and cloud infra Qualifications Required: - Strong experience in Python or Java (both is a bonus) - Solid understanding of data structures, algorithms, and system design - Hands-on experience with REST APIs, SQL/NoSQL, queues, caching, and performance tuning - Proactive problem solver with the ability to think independently - Enjoy writing clean code and reviewing code with empathy - Comfortable working in a high-ownership, low-bureaucracy environment Additional Details: The company offers a culture centered around learning, ownership, and trust, with competitive compensation, flexibility, and a fast-growth environment. You will work on real engineering challenges, not just maintenance, and your work will directly ship to production. If you love tech for the craft of it, enjoy debugging as much as building, and are curious, self-motivated, and always improving, this opportunity may be a great fit for you. If this resonates with you, feel free to reach out for further discussions.,

As a Sr. Data Engineer/Architect at Barclays, you will play a vital role in driving innovation and excellence in the digital landscape. You will utilize cutting-edge technology to enhance digital offerings, ensuring exceptional customer experiences. Working alongside a team of engineers, business analysts, and stakeholders, you will tackle complex technical challenges that require strong analytical skills and problem-solving abilities. **Key Responsibilities:** - Experience and understanding in ETL, APIs, various data formats (JSON, Avro, Parquet) and experience in documenting/maintaining interface inventories. - Deep understanding of AWS services (e.g., Glue, S3, Databricks, Snowflake) and Hadoop ecosystem for data processing and storage. - Familiarity with Databricks, Delta Lake, and Medallion architecture for advanced analytics and fraud detection use cases. - Build logical and physical data models, enforce data quality, and integrate data across multiple systems. - Data Design and Requirements Analysis: Able to apply data design patterns and frameworks, working knowledge of schemas and normalization. - Experience in preparing architecture vision documents, data flow diagrams, and maintain auditable governance documentation. - Understands user requirement gathering to define data flow, model and design. - Knowledge of basic activities and deliverables of application design; ability to utilize application design methodologies, tools and techniques to convert business requirements and logical models into a technical application design. - Knowledge of Architecture Modelling; ability to develop and modify enterprise architecture through conceptual, logical and physical approaches. - Knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events. - Knows the tools and techniques used for data governance. Understands the relevance of following, creating and improving policies to ensure data is secure including data privacy (e.g. token generation). - Knowledge on the right platform for the data transmission and ensure the cloud / on prem servers are appropriately used. Also, ensure the cost is considered while choosing the cloud vs on-perm platform. - Knowledge on the database and latest updates to help provide the right tools and design. - Proficient in communicating data standards and demonstrating their value to the wider audience. **Qualifications Required:** - Educated to degree or MBA level to be able to meet the intellectual demands of the job, or can demonstrate equivalent experience. - Good understanding of distributed systems and databases. - Good understanding of DBT (Data Build Tool). - Good understanding of AWS database technologies e.g. Databricks, Snowflake. - Knowledge of PCI DSS and PA DSS tokenization and encryption. - Understands basic features of RDMBS and NoSQL databases. The role is based in Pune. In this role, you will build and maintain data architectures pipelines, design and implement data warehouses and data lakes, develop processing and analysis algorithms, and collaborate with data scientists to deploy machine learning models. Your responsibilities also include advising on decision making, contributing to policy development, and ensuring operational effectiveness. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship. Additionally, adherence to the Barclays Mindset to Empower, Challenge and Drive is crucial for creating a culture of excellence and integrity within the organization. As a Sr. Data Engineer/Architect at Barclays, you will play a vital role in driving innovation and excellence in the digital landscape. You will utilize cutting-edge technology to enhance digital offerings, ensuring exceptional customer experiences. Working alongside a team of engineers, business analysts, and stakeholders, you will tackle complex technical challenges that require strong analytical skills and problem-solving abilities. **Key Responsibilities:** - Experience and understanding in ETL, APIs, various data formats (JSON, Avro, Parquet) and experience in documenting/maintaining interface inventories. - Deep understanding of AWS services (e.g., Glue, S3, Databricks, Snowflake) and Hadoop ecosystem for data processing and storage. - Familiarity with Databricks, Delta Lake, and Medallion architecture for advanced analytics and fraud detection use cases. - Build logical and physical data models, enforce data quality, and integrate data across multiple systems. - Data Design and Requirements Analysis: Able to apply data design patterns and frameworks, working knowledge of schemas and normalization. - Experience in preparing architecture vision documents, data flow diagrams, and maintain auditable governance documentation. - Understands user requirement gathering to define data flow, model and design. - Knowledge of ba

Role Overview: Our world is transforming, and PTC is at the forefront, bringing the physical and digital worlds together through software. As a Principal Engineer at Onshape, you will play a crucial role in designing and developing high-performance Java solutions for the Onshape SaaS platform. You will work in a cloud-native environment, contributing to a large and evolving codebase, ensuring scalability, reliability, and maintainability. Key Responsibilities: - Design and implement robust, efficient, and scalable Java code for a modern SaaS platform. - Troubleshoot and optimize performance across distributed cloud-native systems. - Collaborate with cross-functional teams to deliver high-quality product increments every three weeks. - Mentor junior engineers and interns, fostering a culture of technical excellence and continuous learning. - Influence architectural decisions, conduct code reviews, and promote engineering best practices. Qualifications Required: - 8+ years of experience building distributed, data-intensive systems using Java and NoSQL databases like MongoDB. - Deep expertise in Java and its ecosystem, with strong foundations in computer science fundamentals, including algorithms and data structures. - Proven experience developing multi-tenant backend systems, RESTful APIs, and services using Java, Spring Framework, and MongoDB. - Strong skills in troubleshooting, debugging, and performance tuning in cloud-native environments. - Experience building solutions for enterprise customers, addressing complex needs around security, delegation, and collaboration. - Demonstrated ability to mentor and support junior engineers through code reviews, coaching, and technical training. - Ability to lead the design and implementation of complex software systems, ensuring high-quality code and adherence to best practices. - Bachelor's degree in Computer Science or equivalent experience, with a solid grasp of data structures, algorithms, and software engineering principles.,

As a Senior Specialist Software Development (C++) at Accelya, you will play a pivotal role in architecting, designing, and guiding the evolution of the Offer Engines platform, a critical system in global airline retailing. Your responsibilities will involve tackling complex technical challenges, shaping system-wide design decisions, and ensuring scalable, resilient, and future-ready solutions. Additionally, you will act as a mentor, innovator, and thought leader, setting technical direction for your team and the broader organization. - Define and influence the technical roadmap and long-term architectural vision of Offer Engines. - Provide expert-level input on system design, scalability, and performance optimization. - Drive innovation and adoption of new technologies, frameworks, and practices across engineering teams. - Lead high-level architecture reviews, ensuring alignment with business goals and industry standards. - Contribute as a hands-on engineer, writing and reviewing advanced C++ code for critical components. - Solve complex problems related to concurrency, distributed processing, performance tuning, and memory optimization. - Mentor engineers at all levels, promoting technical depth across teams. - Act as a role model for engineering excellence, advocating best practices in coding, testing, and system design. - Partner with Product, Architecture, and Business teams to align technology strategy with organizational goals. - Lead proof-of-concepts and feasibility studies for emerging technologies. - Drive adoption of modern C++ standards and advanced practices like lock-free programming, asynchronous design, and performance profiling. - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. - 9+ years of professional software development experience, with deep expertise in C++. - Advanced knowledge of data structures, algorithms, distributed systems, and software design patterns. - Experience with profiling/debugging tools and advanced performance tuning. - Strong background in Agile/Scrum/SAFe development methodologies. - Hands-on experience with CI/CD, DevOps, and cloud-native architectures. Accelya, with over 40 years of experience, simplifies airline financial and commercial processes in the airline industry. The company drives innovation and digital transformation to enable airlines to progress further and faster, collaborating with industry organizations like IATA to empower airlines and put control back in their hands.,

As a software engineer at Google, you will have the opportunity to work on next-generation technologies that impact billions of users worldwide. Your role will involve developing software solutions that operate at massive scale and go beyond traditional web search. You will be part of a team that focuses on various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. Your responsibilities will include writing product or system development code, participating in design reviews, reviewing code from peers, contributing to documentation, and triaging product or system issues. - Write product or system development code. - Participate in or lead design reviews with peers and stakeholders. - Review code developed by other developers and provide feedback. - Contribute to existing documentation or educational content. - Triage product or system issues and track/resolve them. - Bachelor's degree or equivalent practical experience. - 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. - 2 years of experience with data structures or algorithms. At Google, you will have the opportunity to work on critical projects and switch teams as the business evolves. The Technical Infrastructure team plays a crucial role in maintaining Google's product portfolio, ensuring the best user experience possible. As a software engineer, you will manage project priorities, deadlines, and deliverables while designing, developing, testing, deploying, maintaining, and enhancing software solutions to drive technology forward.,

As a Senior Backend Engineer at Enlite, you will play a crucial role in designing and constructing high-performance backend systems for Enlite's intelligent automation platform. Your responsibilities will include combining strong backend fundamentals with an innovative mindset to utilize AI tools and frameworks effectively, accelerating engineering workflows and enhancing product capabilities. Key Responsibilities: - Architect and develop scalable microservices using Java (8+) and Spring Boot, optimized for cloud-native environments. - Create backend services to orchestrate AI-powered infrastructure automation workflows. - Utilize AI tools like code-generation assistants and AI test harnesses to expedite development, improve reliability, and drive innovation. - Lead and mentor a team of 3-4 engineers, promoting best practices in AI-augmented software development. - Work on database optimization (MySQL/PostgreSQL), caching layers (Redis), and event-driven architectures (Kafka). - Collaborate closely with product and software teams to explore the potential of backend + AI systems. - Take ownership of deployment, scaling, and monitoring strategies in Linux-based cloud environments. - Integrate predictive and generative models into the core system to enable autonomous decision-making, adaptive automation, and continuous optimization. Qualifications Required: - 6-8 years of backend engineering experience with a strong foundation in Core Java. - Proficiency in data structures, algorithms, and system design patterns. - Hands-on experience with Spring Boot and microservices architectures. - Sound knowledge of SQL databases and distributed systems. - Previous experience in managing small teams, fostering innovation, and delivering impactful systems. (Note: Additional details of the company have been omitted from the job description),

You will be joining SMARTe, a company focused on creating disruptive innovations in B2B Sales and Marketing by leveraging state-of-the-art technologies and predictive intelligence. As a Senior Software Engineer in the Software department, your role will involve: - Building high performance, low latency scalable software platforms. - Developing and owning product components from inception to production to scaling up, supporting new requirements, re-architectures. - Working closely with product and engineering team members to drive and implement platform and product vision. - Making informed decisions for data needs of customers. - Continuously discovering, evaluating, and implementing new technologies to improve development efficiency. - Working on state-of-the-art technologies such as Spring Boot, Spark, Elastic Search, Kafka, Google Cloud, and distributed environment on cloud servers. Your required skills for this role include: - Strong design and object orientation skills backed with analytical and problem-solving ability. - 4+ years of hands-on coding and expertise in Java. - Hands-on experience on building RESTful APIs and working with Spring boot & Web Frameworks. - Hands-on experience with NoSQL databases (Cassandra/MongoDB/HBase) & Relational databases (Mysql/OracleDB) - Proficiency in implementation, algorithms and use of advanced data structures. - 1+ years of experience in leading a team of technologists, mentoring and helping them with day-today technical impediments to achieve business goals. - 1+ years of experience in technical architectural design keeping considerations of performance, scalability and maintainability in mind. - Exposure to Elasticsearch, Spring Boot & Spark, TBs of data with google cloud or AWS is added advantage. - Participant to Agile/Scrum methodology as Scrum master or team member having exposure to estimations to task allocations using Jira or Rally or similar tools. - Exposure to software development best practices such manual & automated code reviews, design reviews, unit testing, test automation, continuous integration etc. - Ability to articulate and present the points across (both verbal & written) - Strong SQL, Database Tuning and Caching Framework Understanding. - Git/SVN Knowledge Qualifications required for this position include M Tech / ME / B Tech / BE or equivalent in Computer Science, Engineering or similar relevant fields. Join SMARTe and be part of a team that is pushing the boundaries of B2B Sales and Marketing with cutting-edge technologies and innovative solutions.,

As a skilled and driven engineer at XpressBees, you will contribute to building highly scalable, reliable, and performant cloud-based platforms for driving the logistics business. This role offers opportunities to have a significant impact on the software solutions being developed for various logistics businesses. XpressBees focuses on creating new products and services while embracing innovation and leveraging technology to enhance efficiencies for clients. Key Responsibilities: - Collaborate with cross-functional teams to analyze business and technology challenges related to the portfolio of products, identify gaps in current tools, and work towards designing optimal solutions. - Influence and design system architecture across multiple product and technology areas, while also leading and mentoring other talented engineers. - Interact with Product Managers and Designers to translate their vision into technical solutions, taking ownership of software deliverables and mentoring the team. - Work closely with SDEs and Front-End Engineers to own end-to-end design of major deliverables, emphasizing best practices and high-quality solutions. - Utilize object-oriented design, data structures, and algorithms to mentor the engineering team, following agile methodologies and building scalable services/interfaces. - Possess experience in cloud software services development, web service APIs, mentoring software developers, and communicating effectively with stakeholders. - Demonstrate expertise in software engineering practices, distributed computing, and building large-scale, high-performance systems. - Apply design and architecture expertise, along with knowledge of object-oriented analysis and design patterns, to thrive in a fast-paced, dynamic environment. Qualifications: - Experience in developing cloud software services with a focus on scalability, performance, and reliability. - Proficiency in defining, developing, and maintaining web service APIs, with a demonstrated ability to mentor other developers. - Strong communication skills for interacting with users, technical teams, and senior management to gather requirements and describe technical designs. - Proven track record in leading the development of complex software systems, adhering to best practices throughout the software development life cycle. - Deep understanding of CS fundamentals, including data structures, algorithms, and complexity analysis. - Expertise in building large-scale, high-performance systems in a distributed environment, with design and architecture proficiency. - Ability to excel in a fast-paced, dynamic environment, with skills in Data Structures, Algorithms, Java, and Python.,

Role Overview: As a software engineer at Google, you will be part of a team developing cutting-edge technologies that impact billions of users worldwide. Your role will involve working on projects crucial to Google's operations, with the flexibility to switch between teams and projects as the business evolves. You will be expected to demonstrate versatility, leadership qualities, and a passion for tackling new challenges across various technology domains. Key Responsibilities: - Drive initiatives to improve Generative AI (GenAI) accuracy and security, such as Prompt Engineering, Intent Classification, Fine-tuning, and RAG. - Participate in on-call responsibilities to ensure existing production systems meet Service Level Objectives (SLOs). - Ensure that the infrastructure complies with Google's principles regarding security, performance, reliability, and fault-tolerance. - Implement new changes in adherence to the latest Google principles for the roll-out process. - Collaborate with other service teams within Google Customer Solutions (GCS) to solve problems and execute cross-functional initiatives. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 2 years of experience in software development using one or more programming languages or 1 year of experience with an advanced degree. - 2 years of experience with data structures or algorithms. - 1 year of experience with core GenAI concepts, including Large Language Model (LLM), Multi-Modal, and Large Vision Models for text, image, video, or audio generation. - 1 year of experience with Machine Learning (ML) infrastructure, such as model deployment, evaluation, optimization, data processing, and debugging. - Preferred qualifications include experience with Artificial Intelligence/Machine Learning (AI/ML) systems in a customer-facing production environment, multi-region cloud-based storage systems, developing data pipelines, distributed storage infrastructure systems, testing frameworks for storage infrastructure systems, and Service-Oriented Architecture (SOA) or Microservices-based architecture. (Note: The additional details about the company were not explicitly mentioned in the provided job description.),

As a Senior Software Engineer at the company, you will play a crucial role in delivering roadmap features for the Enterprise TruRisk Platform, aimed at helping customers Measure, Communicate, and Eliminate Cyber Risks. You will collaborate with a team of engineers and architects to prototype, design, develop, and support a highly scalable, distributed SaaS-based Security Risk Prioritization product. This is an exciting opportunity to contribute to building Qualys' next-generation platform using Big Data & Micro-Services based technology, processing billions of transactions per day, leveraging open-source technologies, and working on impactful initiatives. **Key Responsibilities:** - Participate in designing and developing Security Product in the cloud from ground-up. - Build highly scalable microservices and data processing pipelines. - Work on Java-based microservices with clean, extensible code following design principles and patterns. - Design, develop, and maintain products to process events and serve REST APIs. - Research and implement code design and adopt new technologies and skills. - Understand streaming technologies like Kafka and identify solutions to bugs. **Qualifications:** - Bachelors/Masters/Doctorate in Computer Science or equivalent. - 4+ years of JAVA development experience with Microservices architecture. - Excellent programming and designing skills with Hands-on experience on Spring, Hibernate. - Professional experience working on indexing technology like Elastic Search and caching technologies like Redis. - Strong logical skills for code design and implementation. - Write high-performance, reliable, and maintainable code. - Experience in designing, developing, and delivering scalable solutions. - Knowledge of SQL, advanced data structures, design patterns, object-oriented principles. - Understanding of data structures and algorithms, application design, and ability to apply Object-Oriented principles like SOLID, DRY. - Proficiency in Java 8. **Good to have:** - Experience in Docker, Kubernetes. - Experience in NO-SQL databases like Cassandra etc. - Experience in stream processing with Kafka and related open-source tools/technologies. - Knowledge of Security log sources. As a Senior Software Engineer at the company, you will play a crucial role in delivering roadmap features for the Enterprise TruRisk Platform, aimed at helping customers Measure, Communicate, and Eliminate Cyber Risks. You will collaborate with a team of engineers and architects to prototype, design, develop, and support a highly scalable, distributed SaaS-based Security Risk Prioritization product. This is an exciting opportunity to contribute to building Qualys' next-generation platform using Big Data & Micro-Services based technology, processing billions of transactions per day, leveraging open-source technologies, and working on impactful initiatives. **Key Responsibilities:** - Participate in designing and developing Security Product in the cloud from ground-up. - Build highly scalable microservices and data processing pipelines. - Work on Java-based microservices with clean, extensible code following design principles and patterns. - Design, develop, and maintain products to process events and serve REST APIs. - Research and implement code design and adopt new technologies and skills. - Understand streaming technologies like Kafka and identify solutions to bugs. **Qualifications:** - Bachelors/Masters/Doctorate in Computer Science or equivalent. - 4+ years of JAVA development experience with Microservices architecture. - Excellent programming and designing skills with Hands-on experience on Spring, Hibernate. - Professional experience working on indexing technology like Elastic Search and caching technologies like Redis. - Strong logical skills for code design and implementation. - Write high-performance, reliable, and maintainable code. - Experience in designing, developing, and delivering scalable solutions. - Knowledge of SQL, advanced data structures, design patterns, object-oriented principles. - Understanding of data structures and algorithms, application design, and ability to apply Object-Oriented principles like SOLID, DRY. - Proficiency in Java 8. **Good to have:** - Experience in Docker, Kubernetes. - Experience in NO-SQL databases like Cassandra etc. - Experience in stream processing with Kafka and related open-source tools/technologies. - Knowledge of Security log sources.

Role Overview: As a Senior Software Engineer at our company, you will be a key member of the global technical team for iOS and Android development. Your primary responsibility will be to design and implement solutions that enhance our mobile development standards and promote cross-functional collaboration. You will play a crucial role in improving our tech stack and evolving our mobile architecture to simplify and unify our global codebase. Your expertise in Fullstack development and server-driven UI will be essential in creating seamless, scalable, and maintainable mobile experiences. Key Responsibilities: - **Technical Leadership:** Serve as one of the technical leads for iOS and Android, setting architectural direction, defining coding standards, and promoting best practices. - **Solution Evolution:** Continuously improve our iOS and Android tech stack to meet current and future business needs, focusing on server-driven UI principles and reusable component architectures. - **Global Codebase Simplification:** Streamline and unify the global codebase to reduce duplication, enhance performance, and enable rapid feature rollout. - **Testing & Quality Assurance:** Lead the development of a strong testing strategy, including unit, integration, and UI testing, to ensure high-quality applications. - **Mentorship & Knowledge Sharing:** Mentor junior developers, promote skill-building, and foster a culture of innovation and continuous improvement. - **Collaboration:** Work closely with cross-functional teams to design and implement features that deliver consistent user experiences. - **Optimise Backend Architecture:** Contribute to refining the server-driven UI backend architecture for improved maintainability and scalability. - **Contribute to Shared Library:** Define and maintain a shared page and component library to support server-driven UI requirements for mobile apps. - **AWS Architecture & Scalability:** Design and implement scalable backend services on AWS to support a globally distributed user base. - **Security and Compliance:** Implement strong security practices and ensure compliance with global standards. - **Performance Optimisation:** Analyse and improve backend performance to reduce latency and optimise resource usage. - **Cross-Team Collaboration:** Engage with front-end, mobile, and product teams to ensure effective server-driven UI experiences. Qualifications Required: - Extensive experience in iOS and Android development, with expertise in Swift, Objective-C, Kotlin, and Java. - Proficiency in server-driven UI architectures and backend development, particularly in Golang and gRPC. - Strong understanding of mobile architecture principles, testing practices, and AWS cloud services. - Experience in security best practices, code quality, and performance monitoring. - Ability to mentor and lead technical teams, promote innovation, and drive continuous improvement. Legal Disclaimer: Please note that employment may be contingent upon adherence to local policies, including pre-placement screenings and background checks.,

As an AI/machine learning expert at our company, you will play a crucial role in advancing the capabilities of our AI solutions. Your primary responsibilities will include: - Applying predictive models to enhance our AI solutions - Demonstrating strong software skills and expert mathematical abilities - Utilizing your analytical skills to solve complex problems - Communicating effectively with team members and stakeholders Qualifications required for this position: - Certification in Machine Learning would be advantageous - Proficiency in Algorithm Development, Machine Learning, Computer Vision, Image Segmentation, Image Processing, 3D Modeling, and Object Detection - Deep understanding of statistics and experience with various machine learning algorithms and techniques - Strong programming skills, particularly in Python, and experience with DL frameworks like Tensorflow, Torch, etc. - Scientific expertise and practical experience in deep learning - Experience in applying machine learning in production environments, particularly on AWS/Azure cloud - Familiarity with Anaconda Enterprise platform - Ability to build and deploy machine-learning models at scale on Kubernetes or equivalent platforms - Experience in developing distributed deep learning models using GPUs - A passion for tackling challenging analytical problems Join us and be part of a dynamic team dedicated to pushing the boundaries of AI technology.,

You will be providing leadership in designing and implementing ground-breaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. Your expertise will be crucial in identifying architectural changes and/or completely new approaches for accelerating deep learning models. You will help address strategic challenges related to compute, networking, and storage design for large-scale, high-performance workloads. Additionally, you will assist in effective resource utilization in a heterogeneous computing environment, evolving private/public cloud strategy, capacity modeling, and growth planning across products and services. Your responsibilities as an architect will include converting business needs associated with AI-ML algorithms into a set of product goals covering workload scenarios, end user expectations, compute infrastructure, and time of execution. This conversion should lead to a plan for making the algorithms production-ready. You will also be benchmarking and optimizing Computer Vision Algorithms and Hardware Accelerators for performance and quality KPIs, as well as optimizing algorithms for optimal performance on GPU tensor cores. Collaboration with various teams to drive an end-to-end workflow from data curation and training to performance optimization and deployment will be a key part of your role. Moreover, you will be assigning tasks to the team and monitoring their progress. Key Responsibilities: - Provide leadership in designing and implementing GPU computers for deep learning and high-performance computing workloads - Identify architectural changes and new approaches for accelerating deep learning models - Address strategic challenges in compute, networking, and storage design - Convert business needs associated with AI-ML algorithms into product goals - Benchmark and optimize Computer Vision Algorithms and Hardware Accelerators - Collaborate with teams to drive end-to-end workflow - Assign tasks to the team and monitor progress Qualifications Required: - MS or PhD in Computer Science, Electrical Engineering, or related field - Strong background in deployment of complex deep learning architectures - 7+ years of relevant experience in machine learning with a focus on Deep Neural Networks - Experience with DNN training frameworks such as Caffe, TensorFlow, or Torch - Proficiency in C/C++ programming, PyTorch, TensorRT, CuDNN, GPU computing, and HPC - Knowledge of container technologies like Docker, Singularity, Shifter, Charliecloud - Proficiency in Python programming, bash scripting, and operating systems like Windows, Ubuntu, and Centos - Excellent communication and collaboration skills - Self-motivated with problem-solving abilities Good to have: - Hands-on experience with HPC cluster job schedulers like Kubernetes, SLURM, LSF - Familiarity with cloud computing architectures - Experience with Software Defined Networking and HPC cluster networking - Knowledge of cluster configuration management tools such as Ansible, Puppet, Salt - Understanding of fast, distributed storage systems and Linux file systems for HPC workloads Additionally, AIRA Matrix provides artificial intelligence-based solutions for Life Sciences applications. Their solutions improve efficiency, diagnostic accuracy, and turnaround times in various workflows across pharmaceutical and healthcare laboratories. Leveraging machine and deep learning techniques, AIRA Matrix develops diagnostic, prognostic, and predictive solutions that benefit the pharmaceutical domain and healthcare applications. The company's clients and partners include leading hospitals, pharmaceutical companies, CROs, and research labs globally.,

As a Computer Vision Intern at Muks Robotics AI Pvt. Ltd., you will play a crucial role in developing, optimizing, and deploying vision-based solutions for real-time, production-grade environments. Your responsibilities will include: - Assisting in developing computer vision pipelines for detection, tracking, segmentation, recognition, and measurement tasks. - Supporting the building of solutions for OCR, human pose estimation, activity recognition, and anomaly/defect detection. - Aiding in training, evaluating, and optimizing deep learning models for accuracy and performance. - Helping manage data collection, cleaning, labeling, and augmentation processes. - Supporting the optimization of systems for real-time deployment and high-performance processing. - Collaborating with hardware, firmware, and backend teams on deployment and integration tasks. - Documenting algorithms, experiments, and deployment workflows. Qualifications required for this role include: - Bachelors or Masters degree in Computer Science, AI/ML, Electronics, or a related field. - Familiarity with Python programming and basic algorithm design. - Exposure to computer vision tasks such as object detection, segmentation, OCR, or pose estimation. - Interest in deploying AI models on edge or server environments. - Enthusiasm for working with real-time video data and high-performance processing. - Willingness to learn and travel as required. It would be nice to have experience with multi-threaded or distributed processing, understanding of industrial communication protocols, and a background or interest in automation, safety monitoring, or real-time analytics. At Muks Robotics AI Pvt. Ltd., you will have the opportunity to work on high-impact AI systems, gain hands-on exposure to computer vision projects in real-world environments, and be part of a collaborative, innovation-focused workplace. (Note: Additional company details were not included in the provided job description.),

You will be responsible for managing professional teams and departments, contributing to standards, and ensuring the volume, quality, timeliness, and delivery of end results in your area. Your role will require in-depth understanding, communication skills, and the ability to guide and influence others within and outside the organization. You will also be involved in short-term and resource planning, budgeting, and policy formulation within your area of expertise. **Key Responsibilities:** - Continuously build a network of talent inside and outside the company - Create mechanisms for onboarding new talent and mentor others - Coach and provide feedback to direct reports for talent development - Apply performance standards and identify resource needs to optimize team performance - Design, implement, and deploy software components, solving challenging problems - Work independently and with the team to deliver software successfully - Focus on operational excellence and make improvements to development and testing processes - Establish good working relationships with teammates and peers - Train new teammates on customers, software functions, construction, testing, and operations - Assess risks in business decisions and ensure compliance with laws and regulations **Qualifications:** - 10+ years of experience in Apps Development or senior level Enterprise Architecture - Expertise in technology, cloud platforms (AWS, PCF, Akamai), algorithms, data structures, distributed systems - Technical skills in ANgular UI, JavaScript, Typescript, HTML, CSS3, and cloud computing - Knowledge of automating code quality, code performance, unit testing, and CI/CD processes In this role, you will have the opportunity to lead resources, demonstrate technical expertise, and drive broader adoption forward. Your qualifications should include a Bachelor's/University degree, with a preference for a Master's degree and Gen AI developer certification.,

As a software engineer at GoDaddy, you will have the opportunity to work on diverse projects, showcasing your expertise in software architecture, design patterns, and industry best practices. Your responsibilities will include: - Writing code on various projects, demonstrating technical leadership and expertise in software architecture - Proposing and driving engineering initiatives to reduce technical debt and ensure a robust technical foundation - Guiding and mentoring junior engineers on design, implementation, and code reviews, fostering a culture of engineering excellence - Collaborating with Product Managers and stakeholders to define and influence requirements for maintainable and scalable solutions - Leading operational processes such as release management, incident response, and post-mortems Your qualifications should include: - 7+ years of software industry experience with expertise in Java, Kotlin, and Android Native Development - Strong foundation in software engineering fundamentals and experience with Test-Driven Development - Proven ownership of the entire software development lifecycle and experience in designing external-facing APIs Additional desirable qualifications may include knowledge of RESTful APIs, cloud computing, messaging systems, and event-driven architecture. GoDaddy offers a range of total rewards including paid time off, retirement savings, equity grants, competitive health benefits, and more. The company embraces diversity and offers Employee Resource Groups. GoDaddy empowers entrepreneurs worldwide by providing tools for online success. GoDaddy is an equal opportunity employer and considers qualified applicants with criminal histories. Recruiters are available to assist with applications. The company does not accept unsolicited resumes.,

As a Senior Machine Learning Engineer at GoCommotion, you will lead the design, development, and scaling of the AI Worker platform, a multimodal, agentic system that handles voice, vision, and language in real time. In addition to this, you will mentor junior engineers and collaborate across teams to drive innovation and enhance customer experience. Key Responsibilities: - Build AI systems powering AI Workers, enabling agentic, persistent, and multimodal interactions across voice, text, and image. - Lead the full ML lifecycle, including data pipelines, architecture design, model training, deployment, and monitoring. - Design speech-to-speech models for low-latency voice interactions without text intermediaries. - Drive LLM finetuning and adaptation strategies such as LoRA, PEFT, and instruction tuning. - Architect and optimize RAG pipelines for live grounding of LLMs. - Advance multimodal systems by integrating language, vision, and speech capabilities. - Apply reinforcement learning techniques for continuous improvement of AI systems. - Collaborate with infrastructure and systems engineers to optimize GPU clusters, cloud solutions, and edge integration. - Translate research ideas into production-ready innovations. - Mentor junior ML engineers, establish best practices, and contribute to shaping the technical roadmap of the company. Qualifications Required: - Bachelor's or Master's degree in Computer Science, AI/ML, or a related field. - Expertise in Python with a strong understanding of data structures, algorithms, OS, and networking fundamentals. - Demonstrated experience in production ML systems for at least 3 years. - Deep knowledge of LLMs, including architecture, finetuning, and various tuning strategies. - Hands-on experience in multimodal ML, particularly in text, vision, and voice domains. - Proficiency in Voice AI technologies such as ASR, TTS, speech embeddings, and latency optimization. - Strong foundation in reinforcement learning concepts like RLHF, policy optimization, and continual learning. - Proficient with PyTorch, TensorFlow, and scikit-learn. - Familiarity with frameworks like vLLM, HuggingFace, Agno, LangFlow, CrewAI, and LoRA. - Experience with vector stores such as Pinecone, Weaviate, FAISS, and QDrant, as well as orchestration tools. - Expertise in distributed training, large-scale pipelines, and inference latency optimization. - Experience deploying ML models in cloud environments like AWS, GCP, or Azure, using containers, Kubernetes, and CI/CD pipelines. - Ownership mindset, ability to mentor others, high resilience, and thrive in a startup environment. Please note that GoCommotion is a company that builds AI Workers for the future of customer experience, creating intelligent agents that engage across channels, listen to asynchronous events, and continuously improve. You can find more information about the company on their website: [GoCommotion Website](https://www.gocommotion.com/).,

You will be working on building a data protection platform for SaaS companies. Your experience in building or working with SaaS products and storage will greatly benefit you in this role. **Role and Responsibilities:** - Design and build the SaaS product, contributing to its scaling and growth. - Contribute to and drive open source projects that will be integrated into the SaaS platform. - Collaborate with a distributed team of engineers to develop core components of the platform. - Utilize a modern technology stack including Golang, Containers, public cloud services, and Cloud Native technologies like Kubernetes. **Requirements:** - Display a strong bias toward action and maintain direct, frequent communication. - Demonstrate expertise in developing, testing, and debugging production-quality, scalable, and concurrent systems. - Possess experience with distributed systems concepts and architecture. - Solid foundation in computer science fundamentals such as data structures, algorithms, and concurrency. - Proficiency in a programming language like Golang. - Show passion for code quality, extensibility, coding standards, testing, and automation. **Nice to have:** - Experience in building core features related to storage, database, data protection, or security systems. - Previous experience in public cloud development, with a preference for AWS. - Golang experience. - Contributions to Open Source Software. - Experience working in startup environments or on early-stage products.,

As an End-to-End Architect, your role involves architecting distributed, event-driven, and microservices-based systems similar to public cloud platforms. You will leverage containers, Kubernetes, and hybrid virtualization environments (Hypervisor, OpenStack) in the design process. Key Responsibilities: - Evaluate and recommend the right mix of tools, frameworks, and design patterns for each project, considering performance, cost, scalability, and maintainability. - Define infrastructure as code (IaC) strategies and integrate DevOps, AIOps, and MLOps practices into system delivery pipelines. This includes using tools like GitLab, Jira, and cloud-native CI/CD workflows. - Design secure, high-performance system and database architectures using technologies such as PgSQL, MongoDB, Redis, InfluxDB, Kafka, and ESB patterns to support real-time, analytical, and transactional workloads. - Build robust systems capable of handling high throughput with minimal latency and failure recovery by leveraging knowledge of distributed computing, SDN/SDS, and container orchestration. - Develop and maintain comprehensive UML models, architectural diagrams, and technical documentation to effectively communicate design intent to technical and non-technical stakeholders. - Provide architectural oversight, code-level guidance, and mentorship to development teams, ensuring adherence to architectural standards, KPIs, and KRAs through reviews and active collaboration. - Stay updated with emerging technologies and propose architectural improvements that leverage advancements in AI/ML, cloud-native development, and intelligent automation. Qualifications Required: - Deep expertise in cloud platforms engineering such as AWS, Azure, or GCP. - Strong understanding of architectural patterns and design principles, including Event-Driven Architecture, distributed computing, enterprise bus, microservices, and high-performance computing. - Proficiency in architecture diagramming tools and documentation. - Strong foundation in data structures and algorithms, with a passion for programming (Python, Go preferred). - Excellent leadership and communication skills. - Strategic mindset with the ability to assess long-term implications of architectural decisions.,