288 Distributed Computing Jobs - Page 2

As a Jr. Software Engineer (AI ML) at SynapseIndia, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. With a focus on AI/ML, you will play a crucial role in designing, developing, and deploying machine learning models and AI algorithms using Python and relevant libraries. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field. Additionally, having 0-2 years of professional experience in Python programming with a specialization in AI/ML is essential. Your strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, along with a solid understanding of machine learning algorithms, neural networks, and deep learning will be highly valuable. Furthermore, your proficiency in data manipulation libraries such as Pandas, NumPy, and data visualization tools like Matplotlib, Seaborn, as well as experience with cloud platforms like AWS, GCP, Azure, and deploying ML models using Docker, Kubernetes will be beneficial. Any familiarity with NLP, Computer Vision, or other AI domains will be considered a plus. Your responsibilities will include collaborating with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. You will be optimizing and scaling machine learning pipelines and systems for production, performing data preprocessing, feature engineering, and exploratory data analysis, and implementing and fine-tuning deep learning models using frameworks like TensorFlow, PyTorch, or similar. Additionally, you will be expected to conduct experiments, evaluate model performance using statistical methods, write clean, maintainable, and well-documented code, mentor junior developers, participate in code reviews, and stay up-to-date with the latest AI/ML research and technologies. Ensuring seamless model deployment and integration with existing infrastructure will also be part of your role. If you are a proactive individual with strong problem-solving skills, the ability to work independently and collaboratively, excellent communication skills, and familiarity with REST APIs, microservices architecture, version control systems like Git, MLOps best practices and tools, distributed computing, and big data tools like Spark or Hadoop, we encourage you to apply for this exciting opportunity at SynapseIndia. Join us and be a part of our dynamic team where your contributions are recognized and rewarded, and where you can grow both personally and professionally in a structured, eco-friendly workplace that prioritizes the well-being and job security of its employees.,

As a Data Architect, you will play a crucial role in designing, implementing, and maintaining scalable data architecture solutions aligned with business objectives. You will collaborate with cross-functional teams to translate business requirements into data models and architecture, ensuring data quality, integrity, security, and compliance across all systems. Your expertise in data modeling, ETL processes, and big data solutions will be essential in integrating disparate data sources for seamless data flow and access. Your responsibilities will include developing and maintaining data pipelines, creating complex data visualizations, and recommending tools to enhance the overall data strategy. You must possess a Bachelor's degree in Computer Science or a related field, along with relevant IT certifications in data management or software architecture. With a minimum of 5 years of hands-on experience in software design and data architecture projects, you should have a background in roles such as Database Administrator, Data Analyst, or Data Engineer. Proficiency in data modeling techniques, ETL tools, programming languages like Python or Java, and business intelligence tools such as Tableau and Power BI is required. Familiarity with big data technologies, Agile methodologies, and data security principles is essential. Your strong analytical and problem-solving abilities, along with excellent communication and stakeholder management skills, will be key to your success in this role. You should be ready to work onsite in Bengaluru for an initial 3-month engagement, with the possibility of a 6-month contract extension. Your ability to work in a day shift from Monday to Friday, along with morning shifts, will be crucial. If you possess the required qualifications, experience, and skills mentioned above and are eager to take on this challenging role, we look forward to receiving your application.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

You should have a Bachelor's degree or equivalent practical experience along with 8 years of experience in data structures and algorithms. Additionally, you should possess 5 years of experience in Generative AI techniques such as LLMs, Multi-Modal, Large Vision Models, or related concepts like language modeling and computer vision. It is crucial to have 5 years of experience in testing, launching software products, and leading Machine Learning (ML) design, optimizing ML infrastructure, and 3 years of experience in software design and architecture. Ideally, you should also hold a Master's degree or PhD in Engineering, Computer Science, or a related technical field, and have 8 years of software development experience. Moreover, having 3 years of experience in a technical leadership role, working in a matrixed organization, and leading project teams while setting technical direction would be preferred. As a software engineer at Google, you will be instrumental in developing cutting-edge technologies that impact billions of users globally. Your responsibilities will involve working on projects critical to Google's needs, collaborating with diverse teams, and solving complex engineering challenges. You will have the opportunity to contribute to Google Search by enhancing the user experience, expanding infrastructure, and ensuring information accessibility and usefulness on a global scale. Your role will entail leading the technical design and development of systems capable of automatically transforming Large Language Model (LLM) generated long answers into readable responses. You will need to devise strategies to leverage user interaction data to enhance the understanding of user needs by the LLM. Collaborating with designers, you will translate user experience ideas into technical requirements for the AI system and create prototypes for testing and optimization. Additionally, you will evaluate and integrate AI/ML techniques to enhance AI capabilities, provide technical expertise on generative UI, steer technical direction within the team, mentor junior engineers, and foster a culture of innovation.,

Senior Data SME Experience : 15+ years Experience in all 4 platforms, Business Platform, Technology platform, Enablement platform, Foundation Platform Business Perspective Experience as Principal Arch in leading organizations handling customers effectively. Advanced understanding of Enterprise Architecture principles. Well-versed with the end to end data management philosophies and governance processes fit to business. Deliver data solutions and integration pipelines in accordance with agreed organizational standards that ensure services are resilient, scalable and future-proof Collaborate with cross-functional teams to define and implement cloud strategies that align with business goals Participating in architectural discussions and decision-making processes to ensure alignment with business goals and best practices Working experience on Modern data platforms which involves Cloud & related technologies, Graph databases, Virtualization Technology Perspective Worked in multiple large distributed mission critical applications as an architect. Proven experience as architect and engineering lead in Data & Analytics stream. In-depth understanding of data structure principles and data platforms Used Architecture tools for modelling. Working experience on Modern data platforms which involves Cloud & related technologies Keeps track of industry trends and incorporates new concepts Advanced understanding of AI concepts , LLMS, RAG, Agentic apps Advance Understanding in Data visualization and Data pipelines. Excellent understanding of traditional and distributed computing paradigm. Experience in designing and building scalable data pipelines. Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies Data integration ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB) Experience in cloud data eco-system - AWS, Azure or GCP in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory Contributing to developing and maintaining cloud governance frameworks, policies, and procedures Proficient in integrating cloud services with existing on-premises systems and applications, understanding various integration techniques Enablement & Foundation Perspective Published white papers in recognized forums Knowledgeable in ROI and benefits analysis Very good presentation/Articulation skills Awareness of Security concerns while designing enterprise applications Creative problem-solver with strong communication skills Show an awareness of opportunities for innovation with new tools and uses of data They should also demonstrate strong decision-making abilities, prioritize tasks, and manage resources effectively to ensure successful project outcomes. Please share your updated profile - meenakshi.biradar@hcltech.com

The AVP Databricks Squad Delivery Lead position is open for candidates with 14+ years of experience in Bangalore/Hyderabad/NCR/Kolkata/Mumbai/Pune. As the Databricks Squad Delivery Lead, you will be responsible for overseeing project delivery, team leadership, architecture reviews, and client engagement. Your role will involve optimizing Databricks implementations across cloud platforms like AWS, Azure, and GCP, while leading cross-functional teams. You will lead and manage end-to-end delivery of Databricks-based solutions, serving as a subject matter expert in Databricks architecture, implementation, and optimization. Collaboration with architects and engineers to design scalable data pipelines and analytics platforms will be a key aspect of your responsibilities. Additionally, you will oversee Databricks workspace setup, performance tuning, and cost optimization, while acting as the primary point of contact for client stakeholders. Driving innovation through the implementation of best practices, tools, and technologies, and ensuring alignment between business goals and technical solutions will also be part of your duties. The ideal candidate for this role must possess a Bachelor's degree in Computer Science, Engineering, or equivalent (Masters or MBA preferred) along with hands-on experience in delivering data engineering/analytics projects using Databricks. Experience in managing cloud-based data pipelines on AWS, Azure, or GCP, strong leadership skills, and effective client-facing communication are essential requirements. Preferred skills include proficiency with Spark, Delta Lake, MLflow, and distributed computing, expertise in data engineering concepts such as ETL, data lakes, and data warehousing, and certifications in Databricks or cloud platforms (AWS/Azure/GCP) as a plus. An Agile/Scrum or PMP certification will be considered an added advantage for this role.,

As a software engineer at Google, you will be part of a team that develops cutting-edge technologies to revolutionize how billions of users connect, explore, and engage with information and each other. The scope of our projects extends far beyond web search, requiring the handling of massive amounts of data and the exploration of innovative solutions in various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. We are seeking engineers who can contribute fresh perspectives and expertise to drive our technology forward. Your role as a software engineer will involve working on crucial projects that address Google's evolving needs. You will have the opportunity to collaborate with diverse teams and switch between projects as the business environment evolves rapidly. We value versatility, leadership qualities, and a proactive attitude towards tackling new challenges across the full technology stack. At Google, user experience is a fundamental consideration in our product development process. We prioritize creating intuitive, innovative, and visually appealing products that resonate with users. Our UX teams consist of designers, researchers, content strategists, and engineers who are dedicated to delivering high-quality, user-centric experiences. By understanding user needs, behaviors, and emotions, we aim to develop insights that shape our product strategies and designs. Our collaborative approach enables us to address complex problems and craft engaging experiences that highlight the unique features of our products while adhering to Google's core principle of prioritizing user satisfaction. Responsibilities: - Design, develop, and take ownership of key software components and features throughout the entire development lifecycle, including deployment and long-term maintenance. This involves utilizing modern front-end technologies like React and Angular, as well as backend systems. - Lead and participate in design and code reviews to ensure the delivery of high-quality, scalable solutions. Address technical debt and enhance engineering practices as needed. - Assume responsibility for reliability, security, privacy, documentation, and testing strategies within your work, maintaining excellent production standards and support. - Act as a technical liaison, collaborating with internal engineering teams, UX designers, and product owners to align technical strategies and deliver new features effectively. - Identify challenges and unmet requirements by translating user insights into technical specifications to enhance the overall user experience.,

The ideal candidate for this position should have a Bachelor's degree or equivalent practical experience and a minimum of 5 years of experience in software development using one or more programming languages. Additionally, the candidate should have at least 3 years of experience in testing, maintaining, or launching software products, with 1 year of experience in software design and architecture. It is also required to have 3 years of experience in Natural Language Processing (NLP) concepts and algorithms, along with experience in designing NLP solutions. Furthermore, the candidate should possess 3 years of experience in ML infrastructure, including model deployment, model evaluation, optimization, data processing, and debugging. Preferred qualifications for this role include a Master's degree or PhD in Computer Science or a related technical field, along with 5 years of experience in data structures and algorithms. Experience in a technical leadership role for at least 1 year and a background in developing accessible technologies are also desirable. As a software engineer at Google, you will be involved in developing innovative technologies that impact billions of users worldwide. The role requires working on projects that handle information at massive scale and cover various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI design, and mobile technologies. Google values engineers who can bring fresh perspectives and ideas to the table, demonstrate leadership qualities, and show enthusiasm for solving complex problems. Google Ads plays a crucial role in powering the open internet with cutting-edge technology that connects and adds value for users, publishers, advertisers, and Google. The team is responsible for creating advertising products across search, display, shopping, travel, video advertising, and analytics. By delivering trusted ad experiences, Google Ads helps businesses of all sizes achieve measurable results and engage with customers on a large scale. Key responsibilities for this position include writing and testing product development code, collaborating with peers and stakeholders for code reviews, contributing to documentation and educational content, triaging product issues, debugging and resolving technical problems, and designing and implementing NLP solutions leveraging ML infrastructure. In summary, the role of a software engineer at Google offers diverse opportunities to work on critical projects, collaborate with cross-functional teams, and contribute to cutting-edge technologies that drive the company's mission forward.,

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spanning across 30+ countries, we are deeply motivated by our curiosity, agility, and the desire to create enduring value for our clients. We are driven by our purpose - the relentless pursuit of a world that works better for people. We cater to and transform leading enterprises, including the Fortune Global 500, leveraging our profound business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Assistant Vice President, Databricks Squad Delivery Lead. As the Databricks Delivery Lead, you will be responsible for overseeing the complete delivery of Databricks-based solutions for our clients. Your role will involve ensuring the successful implementation, optimization, and scaling of big data and analytics solutions. You will play a crucial role in promoting the adoption of Databricks as the preferred platform for data engineering and analytics, while effectively managing a diverse team of data engineers and developers. Your key responsibilities will include: - Leading and managing Databricks-based project delivery, ensuring that all solutions adhere to client requirements, best practices, and industry standards. - Serving as the subject matter expert (SME) on Databricks, offering guidance to teams on architecture, implementation, and optimization. - Collaborating with architects and engineers to design optimal solutions for data processing, analytics, and machine learning workloads. - Acting as the primary point of contact for clients, ensuring alignment between business requirements and technical delivery. - Maintaining effective communication with stakeholders, providing regular updates on project status, risks, and achievements. - Overseeing the setup, deployment, and optimization of Databricks workspaces, clusters, and pipelines. - Ensuring that Databricks solutions are optimized for cost and performance, utilizing best practices for data storage, processing, and querying. - Continuously evaluating the effectiveness of the Databricks platform and processes, and proposing improvements or new features to enhance delivery efficiency and effectiveness. - Driving innovation within the team by introducing new tools, technologies, and best practices to improve delivery quality. Qualifications we are looking for: Minimum Qualifications / Skills: - Bachelor's degree in Computer Science, Engineering, or a related field (Masters or MBA preferred). - Relevant years of experience in IT services with a specific focus on Databricks and cloud-based data engineering. Preferred Qualifications / Skills: - Demonstrated experience in leading end-to-end delivery of data engineering or analytics solutions on Databricks. - Strong expertise in cloud technologies (AWS, Azure, GCP), data pipelines, and big data tools. - Hands-on experience with Databricks, Spark, Delta Lake, MLflow, and related technologies. - Proficiency in data engineering concepts, including ETL, data lakes, data warehousing, and distributed computing. Preferred Certifications: - Databricks Certified Associate or Professional. - Cloud certifications (AWS Certified Solutions Architect, Azure Data Engineer, or equivalent). - Certifications in data engineering, big data technologies, or project management (e.g., PMP, Scrum Master). If you are passionate about driving innovation, leading a high-performing team, and shaping the future of data engineering and analytics, we welcome you to apply for this exciting opportunity of Assistant Vice President, Databricks Squad Delivery Lead at Genpact.,

As an Algorithm Developer at Machinellium Mavericks Projects and Consultants Inc., you will be tasked with researching, developing, and implementing algorithms to address intricate computational challenges. Your role will involve testing and resolving issues at various stages of the development and implementation process. You should exhibit a keen interest in thriving within a fast-paced and dynamic startup environment. Your responsibilities will include developing cutting-edge machine learning algorithms, proficient programming in languages such as C++, Java, or Python, creating data-driven algorithms, and possessing familiarity with distributed computing and technologies like Hadoop/MapReduce. Your role will demand exceptional debugging and troubleshooting capabilities, as well as the ability to conduct innovative and impactful applied research. To excel in this position, you must possess strong communication skills, both oral and written, along with exceptional problem-solving and analytical abilities. If you are a highly motivated individual with a passion for algorithm development and a desire to contribute to solving complex computational problems, we encourage you to apply and be a part of our innovative team at Machinellium Mavericks Projects and Consultants Inc.,

You are looking for a Data Engineer with over 5 years of experience to join our team in Ahmedabad. As a Data Engineer, you will play a key role in transforming raw data into valuable insights and creating scalable data infrastructure. Your responsibilities will include designing data pipelines, optimizing data systems, and supporting data-driven decision-making. Key responsibilities of the role include: - Architecting, building, and maintaining scalable data pipelines from various sources. - Designing effective data storage, retrieval mechanisms, and data models for analytics. - Implementing data validation, transformation, and quality monitoring processes. - Collaborating with cross-functional teams to deliver data-driven solutions. - Identifying bottlenecks, optimizing workflows, and providing mentorship to junior engineers. We are looking for a candidate with: - 4+ years of hands-on experience in Data Engineering. - Proficiency in Python and data pipeline design. - Experience with Big Data tools like Hadoop, Spark, and Hive. - Strong skills in SQL, NoSQL databases, and data warehousing solutions. - Knowledge of cloud platforms, especially Azure. - Familiarity with distributed computing, data modeling, and performance tuning. - Understanding of DevOps, Power Automate, and Microsoft Fabric is a plus. - Strong analytical thinking, collaboration skills, excellent communication skills, and the ability to work independently or as part of a team. Qualifications required for this position include a Bachelor's degree in Computer Science, Data Science, or a related field. If you are passionate about data engineering and have the necessary expertise, we encourage you to apply and be a part of our innovative team in Ahmedabad.,

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the business environment. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking ways to improve processes and deliver high-quality solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure best practices and quality standards are maintained. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data processing frameworks and distributed computing.- Experience with application development methodologies and best practices.- Familiarity with database management systems and data modeling.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 3 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Your role will require you to stay updated with the latest technologies and methodologies to enhance application performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate communication between technical teams and stakeholders to ensure alignment on project goals.- Mentor junior team members, providing them with guidance and support in their professional development. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to application development.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 3 years of experience in PySpark.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Job Description : We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company. Responsibilities : - Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities - Implementing ETL process - Monitoring performance and advising any necessary infrastructure changes - Defining data retention policies Skills and Qualifications : - Proficient understanding of distributed computing principles - Management of Hadoop cluster, with all included services - Ability to solve any ongoing issues with operating the cluster - Proficiency with Hadoop v2, MapReduce, HDFS - Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming - Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala - Experience with Spark - Experience with integration of data from multiple data sources - Experience with NoSQL databases, such as HBase, Cassandra, MongoDB - Knowledge of various ETL techniques and frameworks, such as Flume - Experience with various messaging systems, such as Kafka or RabbitMQ - Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O - Good understanding of Lambda Architecture, along with its advantages and drawbacks - Experience with Cloudera/MapR/Hortonworks

As an experienced developer with over 8 years of hands-on experience, you will be responsible for owning and working on applications end-to-end, from system to back end. This includes server management, deployment, configuration, containerization, and database management. You will be writing efficient and readable code while ensuring quality through code reviews, design reviews, and architecture decision-making. Your role will involve designing and developing scalable, performant systems with a focus on new solutions for existing and emerging problem spaces. You will need to comply with build and configuration management processes, develop and maintain new features, and create High Level Designs (HLDs) and Low Level Designs (LLDs) based on user requirements. To excel in this role, you must have expertise in Java/J2EE/Python/C/C++, algorithmic development, and databases. You should also be well-versed in Concurrency Concepts, Distributed Computing, vertical and horizontal scaling, and have a strong analytical and problem-solving approach. Additionally, experience with Erlang/Elixir, various databases like Postgresql and Redis, and implementing Distributed System Software will be advantageous. At GreyOrange, we specialize in revolutionizing warehouses, distribution centers, and fulfillment centers with our AI-driven GreyMatter Fulfillment Operating System and Ranger robot series. Our solutions prioritize decisions and workflows to efficiently orchestrate tasks, time, and teams of people and robots for optimal performance. By leveraging real-time data and always-solving algorithms, we enable fast, agile, and precisely tuned operations that empower our customers to meet the expectations of their own customers seamlessly. If you are passionate about cutting-edge technology, enjoy working in a dynamic environment, and want to be part of a team that is shaping the future of logistics, GreyOrange is the place for you. Join us in our mission to bring warehouses into the future and be a part of our innovative solutions that drive efficiency and performance in distribution centers. GreyOrange is an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. For more information about our pioneering technology and solutions, please visit our website or reach out to us directly.,

As a software engineer at Google, you will have the opportunity to work on developing next-generation technologies that impact billions of users worldwide. Your responsibilities will include developing software in C++, working with data structures and algorithms, and contributing to large-scale infrastructure projects. You should have a Bachelor's degree or equivalent practical experience, along with at least 2 years of experience in software development using C++ and data structures or algorithms. A Master's degree or PhD in Computer Science or related technical fields is preferred, along with experience in building large-scale infrastructure, distributed systems, or networks. Experience with accessible technologies is also desirable. At Google, software engineers are encouraged to bring fresh ideas from various technical areas such as information retrieval, distributed computing, system design, networking, security, AI, UI design, and mobile development. You will be working on critical projects that cater to Google's evolving needs, with opportunities to switch teams and projects. The Technical Infrastructure team at Google plays a crucial role in maintaining and developing the platforms that power Google's product portfolio. As an engineer, you will be involved in writing product development code, participating in design reviews, reviewing code by peers, and contributing to documentation. You will also be responsible for triaging product issues and resolving them to ensure optimal performance. Join Google Cloud and be a part of an organization that accelerates digital transformation for businesses worldwide. With a focus on cutting-edge technology and enterprise-grade solutions, Google Cloud is committed to providing the best infrastructure and industry solutions to its customers. As a software engineer, you will have the opportunity to work on challenging problems and contribute to the growth and success of Google Cloud. If you are a versatile engineer with leadership qualities and a passion for pushing technology forward, Google is looking for individuals like you to join its dynamic team. Take on new challenges across the full-stack and be a part of a fast-paced environment where innovation and creativity are valued.,

As a Data Science Team Lead at our organization, you will be responsible for leading a team of data scientists, planning data projects, building analytic systems, and managing a team of data scientists and machine learning engineers. Your role will also involve participating in pre-sales activities and developing proposals. With your strong expertise in machine learning, deep learning, NLP, data mining, and information retrieval, you will design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data, creating reports, aligning data projects with organizational goals, understanding business problems, and designing end-to-end analytics use cases. Additionally, you will develop complex models and algorithms to drive innovation throughout the organization, conduct advanced statistical analysis to provide actionable insights, collaborate with model developers to implement scalable solutions, and provide thought leadership by researching best practices and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models, Classification models, and Unsupervised models, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, and Markov, real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large datasets, simulation/optimization, and distributed computing tools, excellent written and verbal communication skills, a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced startup-like environment, and an additional advantage of experience in semi, unstructured databases. Optional qualifications include programming skills in languages like C, C++, Java, or .Net.,

Role Description: As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com. Summary / Role Purpose This engineer will join as RD Engineer-II in the Research and Development team that creates state-of-the-art software for semiconductor analysis.Innovation in semiconductor design and manufacturing enables smaller device architectures with higher performance and energy efficiency for powering the smart product revolution. The physics associated with shrinking geometries, especially in the emerging 3-D IC,FinFETand stacked-die architectures, brings out design challenges related to power and reliability, affecting design closure. ANSYS simulation and modeling tools offer the sign-off accuracy and performance needed to ensure power noise integrity and reliability of even the most complex ICs, considering electromigration, thermal effects and electrostatic discharge phenomena. Key Duties and Responsibilities Performs development activities that may require extensive analysis in areas including user experience, software design and solver research. Employs best practices and helps to maintain them through technical reviews and mentoring Performs complex bug verification, release testing and beta support for assigned products. Researches problems discovered by QA or product support and develops solutions Anticipates future needs and technology evolution and proposes and participates in implementation of new solutions. Optimize code to improve tool run time and memory capacity. . . Minimum Education/Certification Requirements and Experience B.E./BTech. degree in Electronics Engineering, Computer Science or a related field like VLSI with 2 years of experience. Knowledge in C++ or Python Knowledge of the Linux operating system Strong background in data structures, algorithms, and debugging. Ability to learn quickly, understand complex systems and work closely with others. Preferred Qualifications and Skills Experience delivering high-quality products in a large-scale commercial software development environment. Good communication and interpersonal skills Experience with development, debugging and optimization of systems using distributed processing. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

As a software engineer at Google Cloud, you will play a crucial role in developing cutting-edge technologies that revolutionize how billions of users connect, explore, and interact with information. We are seeking individuals with a Bachelor's degree or equivalent practical experience, along with a minimum of 8 years of software development experience, including leading software projects and creating large-scale web applications. In this role, you will have the opportunity to work on a diverse range of projects spanning various domains such as information retrieval, distributed computing, system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. You will be tasked with working on projects critical to Google Cloud's success, with the flexibility to transition between teams and projects as the business continues to evolve. A successful candidate will demonstrate proficiency in two or more general-purpose programming languages, including front-end and back-end languages. Additionally, experience with cloud databases, both Relational Database Management Systems (RDBMS) and NoSQL, and the ability to evaluate trade-offs between them will be advantageous. Collaborative skills are essential, as you will be working closely with UX designers, researchers, product managers, and other engineering teams to enhance user experiences and drive product innovation. Responsibilities of this role include identifying and implementing improvements to a shared codebase, designing and launching features with high product and technical quality, developing large-scale user-facing applications, and collaborating with cross-functional teams to steer product direction. Sharing knowledge with teammates to enhance collective effectiveness is also a key aspect of this position. Join us at Google Cloud to accelerate digital transformation for organizations worldwide, leveraging cutting-edge technology and tools to drive sustainable development. Take on new challenges, demonstrate leadership qualities, and contribute to pushing technology forward across the full stack. Be empowered to anticipate customer needs, take ownership, and drive innovation in a fast-paced, dynamic environment.,

As a Software Engineer III specializing in Mobile, Android development at Google, you will play a vital role in developing the next-generation technologies that impact billions of users worldwide. Your responsibilities will involve writing code for product or system development, reviewing code from fellow engineers to ensure best practices, contributing to documentation and educational content, and participating in design reviews to select technologies. You will also be involved in debugging and resolving product or system issues to maintain hardware, network, and service quality. To qualify for this position, you should have a Bachelor's degree or equivalent practical experience along with at least 2 years of software development experience in one or more programming languages. A Master's degree or PhD in Computer Science or related technical fields is preferred, along with 2 years of experience in Android application development, data structures, algorithms, and performance analysis tools. Experience in developing accessible technologies and proficiency in code and system health are also desirable qualifications. As part of the Android team at Google, you will contribute to an open-source mobile operating system that powers over 3 billion devices globally. The Android platform aims to make computing accessible to everyone, enabling connectivity, productivity, economic opportunity, and more. Your role will involve working on critical projects, managing project priorities, deadlines, and deliverables, and collaborating with diverse teams to drive innovation across the technology stack. Google values engineers who bring fresh ideas and are adaptable to new challenges. If you are enthusiastic about pushing technology forward, displaying leadership qualities, and embracing a fast-paced work environment, this role offers you the opportunity to make a significant impact in shaping the future of computing.,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that revolutionize how billions of users connect, explore, and engage with information globally. The projects you undertake will have a significant impact on advancing Google's capabilities beyond traditional web search, requiring expertise in various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. Your responsibilities will involve writing and testing code for product or system development, as well as participating in design reviews to evaluate different technologies alongside your peers and stakeholders. You will also be expected to review code authored by fellow developers, ensuring adherence to best practices and providing constructive feedback for improvement. Moreover, you will contribute to enhancing existing documentation and educational materials, tailoring the content to reflect updates in products or programs based on user feedback. In the event of product or system issues, you will be responsible for triaging, debugging, and resolving them by analyzing their sources and assessing the impact on hardware, network, or service operations. Ideal candidates for this role should hold a Bachelor's degree or its equivalent, possess at least 5 years of experience in software development across various programming languages, and have 3 years of experience in testing, maintaining, or launching software products. Additionally, candidates should demonstrate proficiency in software design and architecture, with a minimum of 1 year of relevant experience. Preferred qualifications include a Master's degree or PhD in Computer Science or a related technical field, along with 5 years of experience in data structures and algorithms. Experience in a technical leadership role, developing accessible technologies, working with the Search or KE stack, and building ML models will be advantageous. Joining the Google Search team presents an exciting opportunity to redefine the search experience for users worldwide. By tackling complex engineering challenges and expanding infrastructure while prioritizing accessibility and usability, you will contribute to delivering a universally beneficial search platform relied upon by billions. Your role will involve continuous learning, adaptability, and leadership in solving diverse problems across the full technology stack, driving innovation and progress within the organization.,

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniques This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on ground breaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products" supply chain. The goal of Apple's Manufacturing & Operations team is to take a vision of a product and turn it into a reality. Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. Were looking for experienced machine learning professionals to help us revolutionize how we manufacture Apples amazing products. Put your experience to work in this highly visible role. Operations Advanced Analytics team is looking for creative and motivated hands-on individual contributors who thrive in a dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apples supply chain and manufacturing processes. As a part of this role, you would work with the team to build end-to-end machine learning systems and modules, and deploy the models to our factories. You'll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company. Minimum Qualifications - 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). - Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or related field. Preferred Qualifications - Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. - Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. - Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. - Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. - Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. - Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. - Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. - Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. - Proven experience in leading and mentoring teams is a plus. Submit CV,

You are hiring for the position of AVP - Databricks with a minimum of 14 years of experience. The role is based in Bangalore/Hyderabad/NCR/Kolkata/Mumbai/Pune. As an AVP - Databricks, your responsibilities will include leading and managing Databricks-based project delivery to ensure solutions are designed, developed, and implemented according to client requirements and industry standards. You will act as the subject matter expert on Databricks, providing guidance on architecture, implementation, and optimization to teams. Collaboration with architects and engineers to design optimal solutions for data processing, analytics, and machine learning workloads is also a key aspect of the role. You will serve as the primary point of contact for clients to ensure alignment between business requirements and technical delivery. The qualifications we seek in you include a Bachelor's degree in Computer Science, Engineering, or a related field (Masters or MBA preferred). You should have relevant years of experience in IT services with a specific focus on Databricks and cloud-based data engineering. Preferred qualifications/skills for this role include proven experience in leading end-to-end delivery, solution and architecture of data engineering or analytics solutions on Databricks. Strong experience in cloud technologies such as AWS, Azure, GCP, data pipelines, and big data tools is desirable. Hands-on experience with Databricks, Spark, Delta Lake, MLflow, and related technologies is a plus. Expertise in data engineering concepts including ETL, data lakes, data warehousing, and distributed computing will be beneficial for this role.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,