1182 Distributed Computing Jobs - Page 48

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NAMinimum 5 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. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the existing infrastructure. You will also engage in problem...

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be involved in designing, building, and configuring applications to meet business process and application requirements. Your typical day will revolve around creating innovative solutions to address business needs and enhance user experience. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- ...

We are looking for a Technical Lead with deep hands-on experience in both backend engineering and applied machine learning to join Myntras Search team . This team drives some of the most critical experiences on the platform powering query understanding, auto-suggestions, and search ranking for millions of users. In this role, you will be responsible for designing and building scalable search and ML systems , leading technical discussions, and collaborating closely with engineers, data scientists, and product teams to continuously improve our search relevance and user experience. Key Responsibilities Develop and optimize search algorithms, ranking models, and ML-based relevance solutions. Wor...

The Team Our team is on an exciting journey to build Kensho Spark Assist, S&P Globals internal conversational AI platform, designed to support colleagues across all departments. We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders. What You Stand to Gain: Build a rewarding career with a leading global company in an international team. Develop relevant solutions that enhance efficiency and drive innov...

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 comput...

What you’ll do : Write complex SQL queries for data extraction, perform exploratory data analysis (EDA) to uncover insights. Strong proficiency in Python and Py Spark for scalable data processing and analytics. Create, transform, and optimize features to enhance model performance. Train, evaluate, and maintain machine learning models in production. Write efficient, maintainable, and version-controlled code that handles large datasets. Regularly update internal teams and clients on project progress, results, and insights. Conduct hypothesis testing and experiment analysis to drive data-driven decisions using AB testing. Scaling machine learning algorithms to work on massive data sets and stri...

What you’ll do : Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure h...