Top Machine Learning Jobs in Hyderabad

As an ML Operations Engineer, you will design and manage infrastructure for deploying machine learning models, ensure integration with existing systems, develop monitoring solutions, troubleshoot performance issues, and regularly update models to ensure they deliver consistent value to clients.

As a Senior Machine Learning Engineer at Atlassian, you will develop and implement machine learning algorithms and train models to enhance AI functionality in Jira. Your role includes designing system architectures, conducting evaluations, and mentoring junior engineers to leverage AI for transformative results.

The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.

Lead the development of ML infrastructure, providing technical leadership and mentoring to a team, ensuring high quality standards from model inception to deployment, and collaborating with data scientists for optimized data pipelines. Implement best practices for model versioning and evaluate model performance while maintaining industry standards.

The Senior Machine Learning Engineer at Warner Bros. Discovery will build and scale personalization and search platforms for the global streaming app Max. Responsibilities include developing recommendation systems, collaborating with data science teams, optimizing systems for performance, and authoring production code in Java, Go, and Python.

As a Sr. Machine Learning Engineer in the Digital Intelligence team, leverage large-scale computation, substantial datasets, and machine learning to enhance crucial customer products. Responsibilities include overseeing data analysis, developing models and algorithms, managing ML Ops, and communicating with stakeholders. Required qualifications include a Master's degree in Computer Science or related field with 3 years of experience, expertise in machine learning and related areas, and a solid understanding of core CS concepts.

Lead the development of ML infrastructure, enhancing ML capabilities, mentoring junior engineers, and collaborating with diverse teams to deliver advanced FinTech solutions while ensuring high quality and adherence to best practices.

The Senior Machine Learning Engineer will lead the development and deployment of ML infrastructure, providing technical leadership, mentoring junior engineers, and collaborating with data scientists to create high-quality ML solutions. The role involves project management and engagement with stakeholders to ensure successful delivery of initiatives.

As a Software Engineer III, you will design and deliver technology products, executing solutions and troubleshooting software challenges. You will create secure production code, analyze data for insights, and contribute to team culture while driving improvements.

The Senior Software Engineer will collaborate with Agile teams to design, develop, test, and deploy products and services, focusing on AI and ML technologies. Responsibilities include mentoring team members, investigating complex issues, and staying updated with industry developments. They will work independently and participate in code reviews, ensuring best practices and high-quality service delivery.

As a Principal Software Engineer at Boomi, you will collaborate in an Agile team to design, develop, and deploy Boomi products and services. You will mentor team members, resolve complex customer issues, and recommend technologies to enhance the platform. Additionally, you will conduct code reviews, ensure best practices, and keep up with new developments in AI/ML.

As a backend software engineer, you will collaborate with an Agile team to design, develop, and deploy products focusing on AI and ML. You will ensure code quality through reviews, investigate complex customer issues, and continuously learn about new technologies while contributing to the development lifecycle.

As a Principal AI Engineer, you will design, develop, and deploy AI solutions to solve complex business problems, manage data sets, and collaborate with stakeholders to ensure solutions meet business needs while maintaining high-quality standards.

As a Principal Engineer for AI-driven Search, you will shape AI-first content discovery strategies, develop innovative technical solutions, and collaborate with cross-functional teams to enhance product offerings. Your role also involves guiding engineering and data science teams in implementing AI search capabilities and staying updated with AI/ML trends.

As a Senior Pre-Sales Solutions Architect, you will partner with sales and customer success teams to align Udacity's offerings with business outcomes for Global 2000+ clients. You will leverage technical expertise in AI, ML, data science, and cloud computing to address client needs, articulating value propositions and supporting revenue growth through technical and functional initiatives.

As an Engineering Manager for AI & Data Science at Cyara, you will lead and mentor a team, oversee AI and data science projects, and enhance product offerings through innovative solutions. Responsibilities include conducting performance reviews and supporting team development.

As a Senior Software Engineer in ML Ops and Data Engineering, you will design and implement scalable data solutions, manage data pipelines, and deploy machine learning models utilizing various technologies such as Databricks and PySpark. Your role focuses on optimizing data processes and collaborating with teams to enhance business efficiency.