Top Python Jobs in Bengaluru
The MLOps Engineer will oversee the deployment of machine learning models into production, ensuring their scalability, maintenance, and integration. Responsibilities include building data pipelines, monitoring model performance, managing model versioning, collaborating with data scientists and engineers, and optimizing infrastructure while ensuring compliance with data protection regulations.
The ML Engineer will conceptualize and implement ML models for dynamic pricing and personalized recommendations, develop large-scale data pipelines, and collaborate with cross-functional teams to deliver impactful solutions. Responsibilities also include creating algorithms for optimizing consumer journeys and conducting controlled experiments to validate effectiveness.
Senior Tableau Developer with 8+ years of experience in ETL implementation, RDBMS design, and Business Intelligence solutions. Proficient in Tableau, MS SQL Server, SSIS, AWS, Redshift, Snowflake, NoSQL, Python, and R. Experienced in performance tuning and troubleshooting ETL processes.
Create detailed test plans, automate test scenarios for web, mobile, and API, maintain code, attend meetings, and collaborate with teams. Bachelor's in Comp Sci or related field, 3+ years in Automation Testing, proficiency in Javascript/Java/Python, Agile methodology experience, and knowledge of testing tools and methodologies.
As an SCM Engineer II, you will implement deployment automation solutions, manage engineering functions to enhance product development, maintain the SCM product roadmap, and improve operational processes. Your focus will be on application automation, POC, design, and development of SCM tools while collaborating with other teams.
The JavaScript Developer will assist in developing Pippin's proprietary software platform. Responsibilities include provisioning and maintaining systems hardware, ensuring the performance of web applications, enabling infrastructure innovation, and collaborating with software developers and QA personnel.
As a Logic Equivalence Check Engineer, you will build and automate the verification flow, improve logical equivalent check processes, collaborate with design teams, and maintain CAD tools while debugging issues with verification tools.
The role involves leading design verification for AMS designs including components like droop sensing and PLL. Responsibilities include creating UVM benches, writing assertions, analyzing verification coverage, and collaborating with various teams to achieve complete verification.
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The Data Engineer will design, develop, and manage data pipelines and lakes, ensuring data quality, governance, and collaboration with teams to facilitate analytics. Responsibilities include monitoring performance, optimizing storage, and maintaining data catalogs and lineage.
The Data Engineer Lead will develop and deploy digital twin solutions, manage data pipelines, integrate IoT data, and provide technical leadership. Responsibilities include collaborating with cross-functional teams, ensuring security and scalability of solutions, and mentoring team members.
The Conversational AI Chatbot Developer will design and build AI-driven chatbot solutions using Generative AI and natural language processing. Responsibilities include developing APIs, creating front-end interfaces, collaborating with teams, maintaining chatbot content, and analyzing conversational data to enhance performance.
The Data Consultant will analyze data structures for migrating from an Oracle-based system to a cloud-based Azure platform, ensuring data integrity and validation throughout the process. Responsibilities include architecting data solutions, supporting junior team members, collaborating with stakeholders, and documenting the migration.
The Azure Big Data Specialist role involves building and maintaining ETL/ELT pipelines using Azure technologies. Key responsibilities include data processing, transformations, and performance optimization while working on real-time data processing and infrastructure management with CI/CD practices.
The Data Engineer will create and optimize digital twin solutions by leveraging cloud technologies and managing data pipelines. Responsibilities include collaborating with teams, integrating IoT data, developing Python code, and implementing serverless architectures. The role focuses on enhancing system accuracy and efficiency through data engineering practices.
The role involves performing high-fidelity Multi-Body Dynamic simulations to analyze turbomachinery components, validating results against test data, simulating operations and faults, analyzing vibration behaviors, and collaborating with data analysts. The engineer will optimize methodologies, document findings, and present recommendations.
The Data Engineer will develop, monitor, and maintain data pipelines across AE clusters, creating optimal data architecture and automating processes for greater scalability. Responsibilities include incident management, supporting data-related technical issues, and collaborating with stakeholders to meet data infrastructure needs.
The Database Consultant will manage and assess databases like MySQL, Oracle, PostgreSQL, and MSSQL, focusing on migration to Azure cloud. The role involves planning, optimizing performance, and implementing automation for efficient database operations. Responsibilities also include designing data warehousing solutions and leading database migrations while ensuring data integrity.
The SRE Cloud Engineer will work with the development team to enhance application designs for scalability and robustness on Azure cloud. Key responsibilities include implementing data security, building CI/CD pipelines, automating administration tasks, troubleshooting incidents, and maintaining system documentation.
As a Site Reliability Engineer, you will ensure the reliability and performance of Data Engineering systems, collaborating with developers and DevOps teams to support high-availability systems, automated infrastructure, and agile continuous deployment practices.
The role involves developing, monitoring, and maintaining data pipelines across AE clusters, optimizing data delivery, implementing process improvements, and handling incidents related to data infrastructure in collaboration with stakeholders.
As a Senior Data Engineer at Poppulo, you will develop core data services, design and build solutions for data ingestion, ETL, and data storage, work closely with analytics and product teams, and help evolve data science models into new product features.
The AI Architect will lead the architecture, design, and implementation of AI/ML/NLP/Computer Vision solutions. Responsibilities include managing large datasets, developing machine learning algorithms, and coordinating with cross-functional teams to enhance AI models. The role demands extensive experience in machine learning and cloud platforms while ensuring computational efficiency and scalability of models.
The Assistant Manager in Data Engineering at Bosch will utilize tools like KNIME and Python for data analysis, manage databases with SQL, and develop solutions using low-code platforms. Responsibilities include leading software implementation projects, creating data visualizations with Power BI, collaborating with teams, and documenting processes.
As a Software GoLang Developer, you will collaborate with product, design, and operations teams to build scalable distributed services. You will implement microservices architectures, ensure application performance, maintain code quality, and manage CI/CD tools while creating tests for your code.
As a Senior Machine Learning Engineer focusing on NLP, you will enhance our computational infrastructure and improve existing processes. You'll work directly on the platform for our microservices, helping scale for thousands of doctors while implementing a microservices architecture using Golang.
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