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Top Python Developer Jobs in Delhi
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.
The role involves collaborating with data scientists and machine learning engineers to build backend systems and APIs for machine learning models, ensuring optimal infrastructure, and maintaining CI/CD pipelines. Candidates should have strong experience in Java or Python and familiarity with microservices and databases.
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.
Seeking an AI Python Developer with 4+ years of Python development experience and 2 years of Natural Language Processing expertise, including 1+ years with Large Language Models. Responsibilities include developing Python-based solutions, integrating AI technologies, and collaborating with cross-functional teams to build software solutions.
The MLOps Engineer is responsible for deploying and managing machine learning workflows in production, building drift detection systems, model calibration frameworks, and monitoring tools. This role requires a strong grasp of automated training pipelines, expertise in tools like Databricks and Apache Spark, and proficiency in Python and SQL to enhance ML models' efficiency and performance.
The Conversational Architect will lead workshops to gather business requirements, develop engaging virtual agents using Dialogflow CX, communicate QA feedback, and collaborate with product and engineering teams. They will also create wireframes and prototypes, establish design standards, and keep up with industry trends to enhance digital solutions.
The Senior Software Engineer will design, develop, and maintain scalable data ingestion pipelines for processing large volumes of documents, including multimedia content. Responsibilities include collaborating with teams, implementing best practices, optimizing workflows, and staying updated with emerging technologies.
As a Site Reliability Engineer, you will maintain and develop monitoring solutions, manage scalable cloud infrastructure, and assist in debugging production issues. This role blends software development with operations, aimed at automating environments and improving response to incidents.
As a Senior Engineer at Velotio Technologies, you will design, architect, and develop complex enterprise software and SaaS web applications. You will work with modern web frameworks, take ownership of core product features, collaborate with cross-functional teams, and mentor junior engineers while ensuring high-quality code and best practices.
As a Frontend Developer, you'll work with the design and tech teams to create visually appealing and intuitive web applications. Responsibilities include developing responsive designs, maintaining code quality, and integrating frontend with backend components. You'll utilize technologies such as React.js and Django to bring our products to life effectively.
The Python Developer (Backend) will design, develop, and maintain backend systems using Python, collaborate with the team on product development, optimize AWS infrastructure, manage databases, and deliver complex software projects.
The Staff DevOps Engineer will oversee and improve the efficiency and reliability of Lytx infrastructure, engage with innovative technologies, implement MLOps practices, and develop data/machine learning pipelines. Additional responsibilities include enhancing productivity among engineering teams and advocating for best practices within systems operations.
The Principal Chief Architect serves as a senior technical leader, ensuring efficient reuse of architectural patterns, engaging with customers to understand their business needs, and promoting best practices in open source and collaboration. Responsibilities include facilitating stakeholder engagement, debugging code, and contributing to architectural proposals.
The Software Architect will lead the design and implementation of microservices architecture, mentor software engineers, and develop cloud-native applications. The role requires both front-end and back-end development experience, with a focus on backend. Responsibilities include code reviews, establishing CI/CD pipelines, and collaborating in a team environment.
Responsible for Testing and Validation of Ethernovia’s software, working closely with design and hardware validation teams to design, implement, enhance, and run test cases and plans. Focus on safety-critical automotive domain with adherence to Functional Safety standards.
Responsible for developing GUI visual tools for Ethernovia's engineering team, including software-based GUI for Evaluation platforms and devices. Debug, test, and demonstrate networking devices.
As a Sr. AI Software Engineer, you will develop and implement AI models and algorithms to tackle complex business challenges. Collaborating with cross-functional teams, you'll optimize and enhance AI model performance, stay updated on AI advancements, and deploy solutions into production systems.
As a Software Quality Engineer at Red Hat, you will develop automated tests, define test strategies, design test suites, review codes and specifications, and provide testing updates to product leadership. You will collaborate with team members, leveraging expertise in testing web applications and APIs.
Red Hat is seeking a Senior Site Reliability Engineer (SRE) to develop, scale, and operate OpenShift managed cloud services. Responsibilities include contributing code to increase scalability and reliability, participating in software tests and peer reviews, mentoring peers, participating in on-call schedules, practicing sustainable incident response, resolving customer issues, and working on SRE software improvement. Desired skills include managing Linux servers, systems monitoring, configuration management, and programming experience with object-oriented languages like Golang, Java, or Python.
The Software Engineer IV will work on an applicant tracking system, focusing on writing clean, production-ready code, participating in an on-call rotation, and fostering a strong engineering culture. Responsibilities include building subject matter expertise, performing code reviews, and remediating security risks, all while collaborating in an agile development environment.
The Localization Engineer coordinates installs and upgrades for CAT tools, gathers client requirements to customize localization solutions, and troubleshoots issues from the translation process. Responsibilities include managing Translation Memories, collaborating with teams to implement procedures, and supporting clients with language enabling their content management systems.
As a Senior Systems Engineer, you will provide pre-sales technical systems engineering support, partner with account teams, gather requirements, conduct network architectural reviews, architect solutions, validate proof-of-concept setups, and provide feedback to product management. You will also represent Arista at industry events and author white papers.
The Senior SDET will evaluate and refine the quality strategy for Drivetrain's projects, focusing on both automation and manual testing. Responsibilities include designing automation frameworks, mentoring team members, ensuring quality of deliverables, managing test schedules, and improving testing practices.
The role involves leading ML and MLOps initiatives, designing and deploying solutions on AWS while ensuring architecture governance and managing complex model/data pipelines to support Data Scientists. Strong communication and collaboration skills are essential to work with stakeholders and present technical information effectively.
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