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Top Machine Learning Jobs in Hyderabad
As a Product Manager, you will lead the strategy and roadmap for AI-driven data modernization efforts at JPMorgan Chase. Collaborating with multidisciplinary teams, you'll focus on enhancing product value through agile management, data analytics, and continuous improvement initiatives in machine learning applications.
As a Staff Machine Learning Engineer at ServiceNow, you'll architect and implement AI/ML solutions to enhance user experience and workflow efficiency for enterprise services. Collaborating with developers and product managers, you'll develop LLM-powered applications and contribute to building intelligent enterprise solutions.
The Director, Data & Pricing Platform will lead data-driven initiatives, develop strategies for analytics, manage data pipelines, ensure data governance, and implement machine learning solutions while mentoring a high-performing team.
As a Senior Machine Learning Engineer, you will develop AI/ML solutions to enhance user experience and workflow efficiency. Your work will involve collaborating with a team to build cloud-based intelligent enterprise services, requiring strong programming expertise and a deep understanding of AI/ML techniques and algorithms.
As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train complex models, and collaborate with teams to integrate AI features into Jira. Your role involves designing system architectures, conducting experiments, guiding junior engineers, and ensuring the practical application of AI within the product.
The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.
As an Associate AI/ML model developer, you will manage analytics and AI/ML programs to mine data for insights, develop machine learning models, and collaborate with stakeholders to drive business value. Responsibilities include researching data, developing solutions for control management, and effectively communicating results to both technical and non-technical audiences.
As a Senior Engineer on the ML Platform team at CrowdStrike, you will build and maintain scalable ML pipelines, contribute to the development of the ML Experimentation Platform, and collaborate with Data Scientists and Engineers. You’ll facilitate the adoption of modern data and ML solutions, modularize complex ML code, and ensure adherence to software development best practices.
Featured Jobs
The Engineer III - ML Platform at CrowdStrike will design and build a modern Data+ML platform, enhance ML pipelines, and collaborate with various stakeholders to drive machine learning initiatives at scale. Key responsibilities include establishing deployment patterns, modularizing ML code, and utilizing cloud services for efficient data processing.
The HR AI Innovation Specialist at ServiceNow will leverage AI technologies to improve operational efficiency and enhance employee experience. Responsibilities include developing AI solutions, guiding AI strategies, collaborating with product teams, and conducting experiments to evaluate AI effectiveness. The role requires staying updated on AI technology trends and overcoming AI-related challenges.
This position involves designing and delivering technology products while maintaining high-quality production code. Responsibilities include troubleshooting, developing algorithms, and creating infrastructure for model development and serving, with a focus on compliance and operational excellence. The role also encourages a culture of diversity and agile practices within the team.
As a Senior Software Engineer at ABBYY, you will drive the end-to-end development and delivery of scalable features and systems, ensure high standards of quality and performance, and collaborate with cross-functional teams. Your role includes monitoring system reliability, conducting code reviews, and continuously improving development processes while innovating with new technologies.
The GenAI Architect is responsible for guiding teams in AI solutions implementation and architecture, with a focus on Generative AI technologies. They will work hands-on with coding and deployment while communicating technical concepts to stakeholders. The role requires 10+ years of experience in architecture, machine learning, and related fields.
The Senior Engineer will develop scalable and reusable code, automate repetitive tasks using GenAI/ML, manage third-party API integrations, and mentor team members. The role requires strong documentation skills and collaboration across teams, with a focus on enhancing automation and system performance.
As an Applied AI ML Associate Sr - MLOps, you will deploy and maintain infrastructure for model development, serving, and monitoring. You will work with data scientists and ML engineers to ensure a scalable architecture and high operational standards. Responsibilities include building pipelines for model training, identifying observability tools, and collaborating with cross-functional teams.
The Sr. Manager of Software Engineering will lead an engineering team to develop analytics solutions, ensuring scalable applications and collaborating with cross-functional teams. Responsibilities include mentoring engineers, driving technical excellence, and improving processes while managing distributed systems and internal products.
The Senior Data Consultant leads teams to deliver data-driven projects for clients, formulating strategies and action plans, managing project delivery, and building customer relationships. They are problem solvers and project managers, skilled in adapting to diverse missions and leveraging data to drive business impact.
The AI Productivity Engineer role involves supporting the development and implementation of collaboration and conversational AI platforms within the company. The position is aimed at recent graduates, offering opportunities to learn about AI and software engineering, collaborate with IT teams, contribute to system integration, and improve employee experiences through AI-driven solutions.
As a Senior AI/ML Engineer, you will design, implement, and maintain machine learning algorithms and systems, collaborate with cross-functional teams, and integrate AI models into existing applications. You will advocate for best practices within the team while working in regulated environments, and ensure smooth operations by developing RESTful APIs and CI/CD pipelines.
The Product Architect - Digital & AI/ML is responsible for designing scalable, modular architecture for digital investment products. This role involves hands-on programming in Python, integrating AI/ML algorithms, and leading the product development lifecycle while ensuring quality and architectural consistency across components.
As a Senior ML Engineer, you will lead projects concerning communication activities and machine learning for core business tasks. You will be responsible for developing ML models, collaborating with cross-functional teams, and sharing knowledge within your team. Your role involves ensuring projects progress from data to production while leveraging various ML tools and technologies.
The ML Engineer will lead data processes including collection, cleaning, and preprocessing, and will train and deploy models. The role involves analyzing algorithms, ensuring data quality, training models, and deploying them for business objectives, while also mentoring junior team members.
As an AI/ML Engineer, you will design, develop, and deploy AI/ML models and algorithms, collaborate with stakeholders to identify business requirements, preprocess datasets, optimize models, and monitor deployed solutions while mentoring junior team members.
The ML Engineer will design, implement, and deploy ML models focused on dynamic pricing and personalized recommendations. They will manage data pipelines, collaborate with teams for strategic solutions, and create algorithms to optimize consumer interactions while ensuring scalability and performance of models.
The role involves collaborating with data scientists and ML engineers to build and maintain backend systems for machine learning models. Responsibilities include designing APIs, optimizing backend infrastructure for ML workloads, and managing CI/CD pipelines to ensure efficient deployment and operation of services.
Top Hyderabad Companies Hiring Machine Learning Roles
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