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Top Machine Learning Jobs in Chennai
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.
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.
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 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 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 role involves designing and implementing deep learning and machine learning algorithms for wafer inspection and metrology. Responsibilities include improving training sets, evaluating algorithms, and collaborating with product engineering teams. The candidate should possess strong analytical and communication skills, and provide technical guidance to the team.
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.
As a Senior Machine Learning Engineer, you will lead the development of advanced ML infrastructure, from model training to deployment, mentor junior engineers, and collaborate with teams to provide impactful solutions. Your expertise will drive architectural decisions and oversee critical projects, ensuring high-quality outcomes and efficient model deployment.
Featured Jobs
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.
The Data Engineer will develop and deploy generative AI models, focusing on ChatGPT using Python or .Net, while leveraging Azure or AWS platforms. Responsibilities include maintaining machine learning pipelines, collaborating with teams to integrate AI capabilities, analyzing datasets, and mentoring junior staff in AI and machine learning.
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.
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 Senior Staff ML Engineer will lead the implementation of ML infrastructure, mentor a team, collaborate with data scientists, establish best practices, architect deployment strategies, and optimize models for efficiency while integrating the latest technologies.
The role involves developing a market-leading software product in a dynamic team environment, executing the full software development life cycle, utilizing Agile methodologies, developing microservices, and ensuring the quality of code through testing and maintenance.
The Backend Software Development Engineer will develop scalable assurance systems utilizing a microservices architecture, participate in Agile development processes, and execute full software development life cycle. Responsibilities include coding, troubleshooting, integrating systems, and providing continuous improvements.
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.
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.
The Senior Software Engineer will collaborate in the Agile team to design, develop, and deploy Boomi products, focusing on AI/ML technologies. This role includes mentoring, investigating customer issues, and maintaining best practices for scalable, secure services. Candidates should have strong programming skills, experience with cloud technologies, and a willingness to learn new methods.
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.
The Architect / Lead Engineer will guide AI/ML initiatives by collaborating with data scientists, defining AI architecture, ensuring ethical AI practices, and mentoring AI/ML engineers while engaging with various stakeholders to enhance operational efficiency within the life sciences industry.
Develop and enhance telecom products as an ML Ops Engineer, focusing on machine learning and deep learning to implement algorithms for anomaly detection, event correlation, and KPI prediction. Manage the full ML Ops lifecycle using tools like Kubeflow and MLflow, and deploy models using TensorFlow and PyTorch. Collaborate with cross-functional teams on end-to-end machine learning projects, ensuring scalability and performance.
The AI/ML Engineering Manager will oversee the development of cutting-edge AI and ML solutions, lead and mentor a team, and manage the design, development, and deployment of AI/ML models. The role requires strong programming and project management skills, along with a background in AI/ML engineering.
As a Senior AI/ML Engineer at WEX, you will design, implement, and maintain machine learning algorithms and systems, collaborate with engineering teams to integrate AI models, manage version control and implement CI/CD pipelines, and communicate complex solutions to varied stakeholders.
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.
Top Chennai Companies Hiring Machine Learning Roles
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