Top Python Jobs in Hyderabad

The Principal Software Engineer will design, develop, and maintain the MosaiQ investment platform, focusing on API architecture, database performance optimization, and backend service deployment. Responsibilities include mentoring junior engineers and collaborating with teams to ensure platform reliability.

The Data Engineer II will develop and support high-quality software products, collaborate with business and IT teams on data infrastructure, and conduct complex data analysis. Responsibilities include maintaining data pipelines, deploying applications, and continuous improvement initiatives, while focusing on user experience and data strategy.

As a Senior Software Engineer specializing in AI and Machine Learning, you will design, develop, and implement advanced ML models and AI solutions, collaborate with teams to integrate these solutions, optimize models, mentor junior engineers, and participate in best practices for software development.

As a Senior Software Engineer, you will design and develop advanced machine learning models and AI solutions. Responsibilities include implementing AI algorithms, developing backend APIs, collaborating with cross-functional teams, optimizing models, conducting research on AI technologies, mentoring junior engineers, and maintaining documentation.

The Senior Data Product Engineer will develop semantic data models and create Semantic Data Products using Python and AI agents. Responsibilities include automating link-creation processes, data modeling, and applying semantic data access techniques to support R&D data analysis and machine learning model training.

Join Bristol Myers Squibb as a Principal Architect, Cloud Full Stack, responsible for designing and delivering cloud native solutions in AWS, Azure, and GCP. Lead the architectural design for full stack applications, collaborate with cloud developers and data scientists, and drive technical strategy across the application stack.

Accountable for developing and supporting high-quality software products for Pharmaceutical Development and Global supplies. Collaborate with business and IT teams to develop solutions, take ownership of releases, and work on digital capabilities delivery. Requires 3-5 years of full SDLC process experience, N-Tier application design, full stack development, and proficiency in Java, React, Python, SQL, PostgreSQL, MongoDB, AWS, and Azure.

Accountable for the development and support high-quality software products used by GPS. Collaborate with Business and IT Plan functions to develop solutions for business problems, contribute towards developing a plan for development activities, collaborate directly with business clients and IT Business Partners, take ownership of releases, and coordinate with Ops team for deployment. Requires 5+ years of software development experience, strong communication skills, proficiency in Java, Python, HTML, CSS, JavaScript, React, MySQL, SQL Server, Oracle, PostgreSQL, Django, Flask, Bottle, MongoDB, Amazon DynamoDB, Cassandra, Azure, AWS, GCP, Jenkins, Pig, Hive, Impala, SVN, GitHub, Bitbucket, and knowledge of N-Tier application design and implementation.

Responsible for developing and integrating foundry rule decks and technology files for PDKs, including automation of physical verification processes. The role involves script development for LVS, DRC, RM, IR, and support for layout teams. Additionally, the position includes QA of integrated PDKs, tool usage support, and maintaining an automation framework for design efficiency.

As a Software Engineer at Micron Technology, you will develop and support applications using Agile methodologies, focusing on integration solutions with various enterprise systems. This role requires hands-on experience with Gen AI environments, building and integrating APIs, and collaborating with stakeholders to deliver business value. You must be proficient in handling REST, SOAP, and GRPC protocols and have a solid background in Python and Java programming.

As a Sr. Data Engineer at Micron Technology, you will develop and enhance systems to extract insights from data streams, collaborate with data scientists and analytic teams, and design data management systems in GCP Cloud, focusing on optimizing ETL processes and ensuring data quality for analysis.

The Data Science Engineer will work on data extraction, analysis, and machine learning using large datasets. Responsibilities include data cleansing, statistical modeling, building APIs, and working with various programming languages to support cloud-based data engineering initiatives.

As a Staff Data Scientist at Micron, you will develop machine learning models and data products using extensive datasets, collaborate with teams to solve business problems, and innovate solutions through statistical analysis and programming. You will guide junior Data Scientists and implement automated processes to manage large-scale data effectively.

As a Systems Engineer at Micron Technology, you will provide 24/7 support for Windows Server and VMware solutions, manage incidents and vendor cases, oversee server provisioning and lifecycle, analyze system performance, and implement improvements. You will collaborate with global teams and ensure compliance with SLAs, conduct training, and maintain documentation.

As a Senior Engineer for Enterprise Monitoring and Observability, you'll lead efforts in optimizing performance of distributed systems, leveraging AIOps and monitoring tools, conducting data analysis and visualization, implementing automation, and adhering to ITIL standards while ensuring high service reliability and availability.

The Associate Engineer will develop ETL/ELT processes and work on Big Data Engineering using Hadoop and other frameworks. They will support data preparation for analysis, collaborate with data scientists, and optimize big data performance. The role emphasizes adaptability to new technologies and effective communication in a diverse team environment.

As a Software Engineer - Gen AI at Micron Technology, you will develop and integrate solutions using Gen AI environments, focusing on applications within enterprise systems across various domains. The role requires collaboration with stakeholders and agile methodologies to deliver business value, alongside building and integrating APIs and supporting technologies. Candidates should possess strong technical and functional skills, along with a proven ability to create quality software solutions.