Top Machine Learning Jobs in Bengaluru

The Principal Software Engineer will collaborate on the software development lifecycle, focusing on the design, development, and deployment of Boomi products. Responsibilities include mentoring team members, resolving complex issues, and ensuring best practices in code reviews, all within a fast-paced Agile environment.

As an Application Development Engineer (ADE), you will build and implement software tools and machine learning models. Responsibilities include designing ML systems, performing statistical analysis, visualizing data, and collaborating with teams to create data-driven solutions. The role requires strong coding skills, knowledge of ML frameworks, and experience with data processing.

As an Application Development Engineer, you will design and implement machine learning systems, analyze data, develop applications, troubleshoot existing systems, and collaborate with teams to drive data-based solutions.

The ML Platform Engineer will develop scalable ML model pipelines, collaborate with data scientists, maintain training datasets, and enhance automation for the ML lifecycle using tools like Databricks and AWS.

As a Senior Machine Learning Engineer at Zoom, you will develop and deploy ML models, build APIs, mentor team members, and enhance the ML ecosystem. Your work will directly impact sales and customer satisfaction. The role requires strong coding skills, expertise in ML algorithms, and cloud technologies, as well as leadership and collaboration in a hybrid work environment.

As a Machine Learning Engineer at Lytx, you will develop and deploy machine learning and computer vision algorithms to enhance driver safety. You will handle the complete DL/ML model development cycle, optimize models for cloud/Edge deployment, and improve accuracy and performance under minimal supervision, collaborating with developers as needed.

The AI/ML Engineer will design and develop domain-specific AI agents, focusing on NLP, RAG methodologies, and model deployment. Responsibilities include building conversational AI solutions, integrating speech recognition technologies, and enhancing LLM outputs through retrieval architectures while ensuring data governance and privacy compliance.

Design, develop, and deploy machine learning models and AI solutions, utilizing cloud platforms like AWS. Collaborate with teams for model integration and write code in Java and SQL, employing tools like TensorFlow and PyTorch.

As an AI/ML Test Engineer, you'll develop testing strategies for AI/ML models, validate model performance, automate testing, ensure data integrity, and document findings. The role involves collaboration with data scientists and a focus on continuous improvement within testing processes.

This role involves leading technical initiatives by building AI-powered products, specifically leveraging LLMs. Responsibilities include designing scalable software systems, mentoring junior engineers, interfacing with research teams, and implementing innovative technical solutions.

As an ML Ops Engineer, you will set up and support ML bot inference, build scalable clusters, establish CI/CD for ML solutions, and improve inference logic for machine learning tasks.

As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.

The R&D AI Software Engineer will design and implement end-to-end machine learning projects, improve AI pipelines, and contribute to high-quality production code. The role involves working with live data streams, developing benchmark tasks, and enhancing LLM accuracy through innovative data preprocessing techniques.

As a Software (ML Product) Engineer, you will enhance the user experience of ML tools by optimizing workflows and processes. You will collaborate with technical product managers, contribute to defining efficient ML practices, and improve DVC, an open-source tool for machine learning. A strong background in deep learning and system design is necessary to transform current workflows and engage with the ML community.

Senior Machine Learning Engineer role at Kayzen, revolutionizing AdTech with machine learning. Responsible for accelerating experimentation and deployment, robust model monitoring, collaborating with data scientists, productionizing pipelines, driving innovation, and championing software engineering best practices.

As a Software Engineer focused on Data, AI/ML, and Analytics at Canonical, you will collaborate on developing end-to-end data analytics and machine learning solutions. Your responsibilities include designing and maintaining solutions for both public/private clouds, working with open-source tools, and engaging with a distributed team.

The AI/ML Engineer will develop innovative software products utilizing AI and Machine Learning technologies. Responsibilities include training and optimizing models, applying NLP techniques, and using various tools for data visualization. Collaboration within agile teams to achieve client goals is essential, along with a commitment to ethical AI practices and data privacy.