Top Python Jobs in Bengaluru, KA

Define, standardize, implement, and evangelize software development approaches. Build architectures to enhance productivity and robustness. Incorporate feedback loops, drive operational excellence, and foster collaboration. Identify underinvested areas and lead impactful changes.

Lead the implementation of cutting-edge ML infrastructure, provide technical leadership to a team of ML engineers, collaborate with data scientists, architect and execute model deployment strategies, engineer CI/CD pipelines, define and refine performance benchmarks, and stay updated with industry trends and emerging technologies.

Responsible for creating innovative solutions, defining roadmap, managing engineering team, providing technical leadership, and driving software development. Collaborate with Product, Design, and QA teams to deliver quality applications on time and on budget. Promote a positive engineering culture of excellence and identify risks proactively.

Lead the conceptualization, design, development, testing, and deployment of complex software applications. Oversee system architecture and provide technical leadership. Collaborate with senior leaders on dependency adoption and roadmaps.

As a Developer Support Engineer at JFrog, you will troubleshoot and investigate complex customer CI/CD scenarios, develop scripts in Bash, Python, and Groovy, set up applications in different environments, analyze log files, and collaborate with various teams. You need 3+ years of technical support experience, understanding of Java, and experience in customer-facing roles and Linux.

Publicis Sapient is seeking a Cloud & DevOps Specialist with 9-13 years of experience in DevOps. The candidate will be responsible for designing and enabling application support, handling production farms, and building scalable infrastructure platforms. Skills required include expertise in DevOps & Cloud tools, container infrastructure, infrastructure automation, CI/CD tools, monitoring, logging, security, and scripting languages.

Develop and implement AI/ML solutions, collaborate with stakeholders, design features using various technologies, preprocess and analyze datasets, deploy applications in cloud environments, and monitor AI/ML models for performance.

As a Manager, Data Engineering at Publicis Sapient, you will be responsible for designing and implementing Azure Cloud-based big data solutions, leading a team, and providing technical leadership in data engineering. You will work on data ingestion, transformation, storage, computation frameworks, and data governance & security.

Translate client requirements into design, architect, and implement GCP Cloud-based big data solutions. Provide technical leadership in data engineering, manage team, and establish standard data practices. Participate in client workshops and contribute to hiring and mentorship.

The Senior Associate Data Analytics role at Publicis Sapient involves delivering analytics and optimization solutions, leading business requirement conversations, and designing end-to-end analytics solutions. The ideal candidate will have a minimum of 6 years of experience in Analytics implementation and proficiency in programming languages like Java, Python, R, and HTML.

As a Senior Associate Data Analytics, you will lead in developing data solutions across multiple accounts to ensure success. You will be responsible for delivering analytics and optimization solutions and creating end-to-end analytics solutions. The ideal candidate should have 4-6 years of experience in Analytics implementation and a Bachelor's degree.

Translate client requirements into technical design and implement components for data engineering solutions. Drive design discussions and build functionality for data ingestion, analytics, and more.

As a Senior Associate Data Engineering L2 in Big Data Azure, you will be responsible for translating client requirements into technical designs and implementing data engineering solutions. Your impact will include data ingestion, integration, storage, computation, analytics, visualizations, infrastructure, cloud computing, and data management platforms. You should have a minimum of 6-8 years of experience in Big Data technologies and a Bachelor’s degree.

Seeking a Mid-Senior-level Software Engineer specializing in backend development for a logistics product. Responsibilities include software development, platform services, collaboration with data scientists and AI engineers, and maintaining micro-services for data processing and optimization.

Develop breakthrough multiplatform software for securing endpoints on desktop and cloud platforms. Gather technical requirements, deliver solutions meeting quality, security, and performance goals. Requires 7-9 years of Linux application software development experience with skills in C, C++, Python, and Groovy, as well as distributed/event-driven programming, and security/domain knowledge.

Develop and implement cloud native services to improve data acquisition and enrichment on a SaaS platform. Partner with Data Science for ML training workflows, data validation, and pipeline management. Support reporting needs by restructuring data. 4+ years of cloud data services experience, software engineering background, and familiarity with Python, Java, Node.js.

As a Principal Software Engineer at Salesforce, you will be responsible for building new components in evolving market technology, developing high-quality production-ready code, making design decisions based on performance and scalability, and contributing to all phases of the software development life cycle in a hybrid engineering model.