Top Machine Learning Jobs in Hyderabad, TG
As a Senior Associate in Artificial Intelligence/Machine Learning, you will design and deploy innovative AI/ML solutions to address business objectives. Responsibilities include developing automated pipelines, optimizing generative models for NLP tasks, monitoring model performance, and staying updated on AI/ML advancements. Required qualifications include a Bachelor's or Master's degree in Computer Science, 3-5 years of experience in applied AI/ML engineering, proficiency in Python and machine learning frameworks, and strong collaboration skills.
As a Software Engineer III at JPMorgan Chase within the Infrastructure Platforms team, responsible for designing and delivering trusted technology products in a secure and scalable manner. Executes software solutions, troubleshoots technical issues, and contributes to the continuous improvement of software applications. Recognized for diverse technical knowledge and expertise in agile methodologies.
Manager of Software Engineering at JPMorgan Chase leading multiple teams in developing secure production code, optimizing machine learning models, and integrating ML-driven applications. Responsibilities include guiding software engineers, troubleshooting technical issues, and ensuring operational stability. Required skills include Python, SQL, CI/CD, Github, AWS, Javascript, React.js, and expertise in machine learning algorithms.
Join a company focused on delivering business benefits through AI/Machine Learning solutions. Responsibilities include identifying opportunities, prototyping, collaborating with BI & Analytics, conducting research experiments, and deploying end-to-end data science solutions with challenging datasets. Required skills: Python, ML tool kit, DL frameworks, ML deployment strategies, micro services, infrastructure.
Develop and maintain automation test frameworks, test generative AI/Machine learning applications, collect quality metrics, design testing strategies, create test plans, and support troubleshooting in a scrum team setting.
As an HR AI Innovation Specialist at ServiceNow, you will play a pivotal role in designing, developing, and optimizing AI to elevate employee experience, drive business transformation, improve operational efficiency, and create innovative solutions. Responsibilities include supporting AI development, collaborating with product teams, conducting experiments, and communicating AI concepts to non-technical stakeholders.
Build cloud-based AI/ML solutions to power intelligent enterprise services. Collaborate with a team to produce quality software and deliver high-quality solutions to users. Minimum qualifications include 8 years of related experience with a Bachelor's degree or 6 years with a Master's degree.
Seeking an Engineer III with expertise in ML Ops to design and build a modern ML-Ops platform, modularize ML code, establish repeatable patterns for model development, and leverage cloud services. This role involves collaborating with Data Platform Software Engineers, Data Scientists, and Threat Analysts to influence critical business decisions through scalable ML pipelines.
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Manage product development activities, work with cross-functional teams to create high-quality solutions, lead and mentor engineering team, and solve complex problems in AI and Machine Learning solutions for enterprise services.
The Sr. Engineer - ML Ops at CrowdStrike will play a crucial role in building the ML Experimentation Platform and designing scalable ML pipelines. Responsibilities include modularizing ML code, establishing repeatable patterns for model development, and leveraging cloud services in a cloud-first environment.
Join our team as a Lead Software Engineer in the Machine Learning and AI solutions space within Consumer & Community Banking at JPMorgan Chase. Responsibilities include developing secure production code, leading technical evaluations, and driving the use of new technologies. Required skills include Python, SQL, CI/CD, Github, and experience with machine learning algorithms and MLOPS.
Design, implement, and support ML lifecycle framework for unique requirements. Maintain and operate large-scale ML pipelines. Integrate solutions with industry-standard ML platforms. Work with MLEs and Researchers to design next-gen ML infrastructure.
Looking for an experienced ML Ops Engineer to join the AI & Data Science team. Responsible for deploying, monitoring, and maintaining machine learning models in production to deliver value to clients.
Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure, from model training to deployment. Responsibilities include implementing ML infrastructure, providing technical leadership, mentoring a team of engineers, collaborating with data scientists, and establishing best practices for model deployment.
Looking for a Senior AI/ML Engineer to design, develop, and deploy cutting-edge AI solutions. Responsibilities include building AI/ML models, collaborating with stakeholders, optimizing models, and staying updated with advancements in the field. Requires 7+ years of experience in data pre-processing and a Bachelor's/Master's degree in Computer Science Engineering.
Looking for a Machine Learning Engineer with 6+ years of experience in AI and Machine learning to build efficient, data-driven artificial intelligence systems. Responsibilities include designing, developing, testing, and deploying machine learning models, collaborating with cross-functional teams, optimizing model performance, and staying updated on the latest ML technologies.
The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products to enhance productivity and efficiency of internal teams. Responsibilities include research, development, proof-of-concept work, collaboration with cross-functional teams, data preprocessing, integration and deployment of AI models, documentation, and mentorship.
Build and deploy AI and ML solutions for climate risk. Responsible for developing machine learning models to enhance understanding and predictions of climate extremes. Collaborate with research groups and present findings to key decision makers. Must have a Ph.D. in a related field and 2+ years of experience in building machine learning models.
Seeking a highly skilled Senior ML Engineer with expertise in machine learning, deep learning, computer vision, and natural language processing. Responsibilities include developing and implementing ML/DL models, staying updated on advancements, data analysis, collaborating with teams, performance optimization, and documentation.
Design, implement, and deploy AI/ML solutions for clients across industries. Lead projects, evaluate technologies, provide technical guidance, and stay updated on AI/ML advancements. Collaborate with teams, develop service offerings, and mentor junior members.
Seeking an experienced Data Scientist - ML Engineer to develop commodity-related models, automate workflows, and collaborate with teams to deliver analytical solutions. Responsibilities include creating models, managing analytical solutions, collaborating with teams, and leveraging technology for data enrichment.
Genesys is looking for a Software Engineer to contribute to the development of AI-powered experience orchestration platforms. Responsibilities include building core conversational AI capabilities, collaborating with cross-functional teams, and solving technical challenges.
Seeking a seasoned Python Developer with expertise in machine learning and Large Language Models (LLMs) to lead the development of advanced software solutions within the AWS ecosystem. Responsibilities include architecting cloud solutions, collaborating with Data Scientists, managing AWS infrastructure, and promoting technical excellence and innovation.
Responsible for testing AI and ML applications to ensure quality and reliability.
Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.
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