Top Machine Learning Jobs in Bengaluru
The AI/ML Architect will design and develop classical and deep learning algorithms for enterprise cybersecurity solutions. Responsibilities include creating statistical models, applying AI techniques, building production-quality systems, and collaborating with various teams on data engineering and infrastructure.
Develop and implement machine learning models for improving business processes and outcomes. Responsible for the full ML stack of the product.
The Senior AI Software Engineer is responsible for developing algorithms for medical datasets, including CT and MRI, utilizing machine learning and deep learning techniques. This role involves validating results, creating documentation, training team members, and supporting deployment of algorithms without daily supervision.
As an AI/ML Engineering Manager, you will lead a team of AI/ML developers and data scientists, manage innovative projects, oversee AI/ML model development, and collaborate with stakeholders to align initiatives with business goals while ensuring technical excellence.
As a Senior ML Engineer at Zuora, you'll leverage cutting-edge AI technologies to drive monetization across Zuora's products, focusing on developing end-to-end machine learning models, maintaining their performance, and collaborating with various teams to solve complex business challenges. Your work will greatly influence customer relationships and business strategies in the Subscription Economy.
The Associate Technical Architect will design, develop, and deploy AI/ML applications, using a variety of programming languages and ML libraries. Responsibilities include stakeholder interactions, problem-solving across domains, managing EDA, hypothesis testing, and employing various machine learning algorithms and techniques for predictive modeling in both text and image data.
The Cloud ML/Ops Engineer will design and implement machine learning operations on Google Cloud Platform, working with tools like VertexAI and MLFlow. Responsibilities include creating end-to-end data pipelines, deploying ML models, and automating workflows using CI/CD and Infrastructure as Code. Strong programming skills in Java, Python, and SQL are crucial for performance monitoring and collaboration with cross-functional teams.
The Software Developer I will design, develop, and implement software products for business projects, collaborating with teams and stakeholders. Responsibilities include coding, testing, quality assurance, and maintaining documentation while staying updated on new technologies and best practices.
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The Analytics Engineer will work in the Data Analytics team to perform data analysis, implement analytics and machine learning solutions. Responsibilities include understanding data lifecycle, creating data models, enhancing data collection, ensuring data quality, and collaborating with business teams for analytics insights.
As a Senior Software Engineer at ABBYY, you will drive the end-to-end development of features and systems, ensuring high quality and performance. You will collaborate with cross-functional teams to deliver solutions, continuously improve the codebase, and monitor system reliability while staying current with industry trends.
As a Developer Relations Engineer, you will grow a global community of developers, create technical content, advocate for developers’ needs, enhance developer experience, and represent the company at events. Your role focuses on building engagement and facilitating the use of our products.
As a Machine Learning Engineer II (NLP) at Suki, you will work on improving computational infrastructure using NLP techniques, scaling platforms for thousands of doctors, and implementing microservices architecture. Key skills include NLP, deep neural networks, and CS fundamentals.
The Senior Software Engineer will contribute to AI/ML projects by designing, developing, integrating, deploying, and monitoring models across various media. The role emphasizes ownership, problem-solving, and independent decision-making to drive results in a fast-paced environment.
Join Symbl.ai as an ML Engineer - Generalist to develop and enhance the Conversation AI platform, particularly focusing on the Nebula product. Collaborate on innovative projects, optimize data pipelines, experiment for model improvement, and stay updated on ML advancements.
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.
Seeking a Senior Software Engineer II, QE with 6+ years of experience in testing ML models. Responsible for designing test plans, developing automated testing frameworks, analyzing test results, and monitoring model performance post-deployment.
As an Engineering Manager at Moveworks, you will lead the Core Platform team in developing user-facing product features that utilize advanced Machine Learning. Your responsibilities include designing scalable frameworks, collaborating cross-functionally, and ensuring the reliability and performance of backend systems and APIs, while maintaining high quality and security standards.
The Solutions Architect will lead the design and implementation of AI/ML solutions tailored to client needs. The role involves collaborating with sales and engineering teams, conducting technical workshops, and translating complex concepts into actionable solutions that enhance business outcomes. The candidate will also mentor junior staff and manage multiple projects effectively.
As a Senior Sales Engineer at Quantiphi, responsible for executing the end-to-end sales process in a B2B environment. Tasks include enhancing customer experience, managing customer relationships, developing sales collaterals, driving pre-sales activities, collaborating with cross-functional teams, and providing thought leadership in defining business problems and solutions.
The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.
The Sr. Staff ML Engineer will lead the development and implementation of a cutting-edge machine learning infrastructure, mentor a team of engineers, and collaborate with data scientists on data pipelines. Responsibilities include setting model deployment strategies using Docker and Kubernetes, building CI/CD pipelines, and ensuring best practices for model management and performance optimization.
As a Lead Engineer, you will design and optimize machine learning solutions for demand forecasting, manage application architecture, conduct training sessions, and collaborate with teams to build solutions based on business needs.
As a Senior Backend Engineer, you will be involved in the full software development lifecycle, working both independently and within a team. You will adopt Agile methodologies while focusing on software architecture and infrastructure, identifying and solving problems effectively.
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