Top Machine Learning Jobs in India
The role involves leading the development and execution of data-driven projects, collaborating with data scientists and engineers to build and optimize AI/ML systems. Responsibilities include mentoring team members, designing system architecture, and proposing AI/ML use cases to improve business processes.
The Senior Software Engineer (AI/ML Engineer) will develop AI and ML solutions, design machine learning models for applications, preprocess data, evaluate model performance, and utilize cloud platforms while ensuring robust software engineering practices.
Responsible for developing and implementing advanced AI and speech recognition technologies, optimizing LLMs, conducting data analysis, and collaborating with cross-functional teams for product enhancement.
The AI/Machine Learning Engineer will contribute to building Genesys core AI capabilities such as Speech Understanding and Natural Language Understanding. Responsibilities include creating NLP models, prototyping, coding benchmarks, and collaborating with cross-functional teams to enhance AI Platform Services.
As a Research Scientist, you will innovate machine learning applications for customer experience, collaborate with AI researchers, develop technical roadmaps, integrate AI into products, and publish your findings.
The role involves developing and delivering software solutions, enhancing existing functionalities, and ensuring customer satisfaction. Participants in the IMPACT program will rotate through various tech roles, gaining hands-on experience and structured training in a collaborative team environment.
The Data Scientist will support the design, development, and implementation of machine learning models, particularly focusing on generative AI. Responsibilities include conducting research, performing data preprocessing, collaborating with team members on AI/ML integrations, and staying updated on advancements in data science.
The Technical Lead will guide the software development team in creating and improving software functionalities for fire detection systems. Responsibilities include providing technical direction, participating in product design and testing, mentoring junior engineers, and collaborating with cross-functional teams on product development processes.
Featured Jobs
As a Machine Learning Engineer at Pythian, you will focus on building and optimizing machine learning pipelines, deploying models to production, ensuring scalability and reliability, integrating machine learning models, and collaborating with cross-functional teams. Responsibilities include designing and maintaining ML pipelines, deploying models, optimizing performance, integrating with cloud platforms, implementing monitoring systems, and staying updated on ML advancements.
As a Data Scientist at HashiCorp, you will develop and optimize machine learning models for revenue forecasting, conduct exploratory data analysis, and collaborate with cross-functional teams to enhance data accuracy and derive actionable insights.
The VP of Global Fraud Management is responsible for leveraging data analytics and machine learning to improve operational efficiency and drive innovation, alongside developing predictive models for risk identification and strategic decision-making, while managing internal and external stakeholder relations.
The Research Scientist role at Adobe involves leading research initiatives in Behavioral Sciences and Machine Learning, collaborating with teams to develop and evaluate innovative products, analyzing complex data, and prototyping solutions for digital experiences.
Lead the development of AI training platform infrastructure at Adobe Firefly. Collaborate with cross-functional teams, provide technical leadership, and design large-scale ML infra systems. Required: Bachelor's or Master's in Computer Science or related field, 15+ years of experience, 3+ years as Lead/Chief Architect, strong communication and collaboration skills.
Myntra seeks a Senior Software Engineer to improve search technologies through advanced machine learning. Responsibilities include designing algorithms, deploying models, maintaining CI/CD pipelines, and collaborating with cross-functional teams. Candidates should have experience in software engineering, machine learning, and data pipelines.
Transform proof-of-concept AI/ML projects into full-scale production applications. Collaborate with cross-functional teams to develop and deploy scalable machine learning models, integrate diverse data sources, and optimize performance while ensuring code quality and maintaining systems.
As a Data Science Senior Manager, you will design, develop, and deploy AI models primarily in Retail Banking. You will lead a team of data scientists to create innovative AI solutions, utilize machine learning and statistical techniques, and collaborate closely with stakeholders to ensure solutions meet business needs. The role involves mentoring, project ownership from data collection to deployment, and translating complex data insights into business strategies.
_0.png)
The AI/ML Architect will develop automation and DevOps methodologies for scalable AI and ML infrastructure, engage with clients to address their needs, and maintain technical documentation. They will focus on generative AI systems and leverage AWS tools and services.
The SW Systems Engineer will innovate and define user experience for AI-driven network management, leading the software development lifecycle to create data mining, machine learning, and networking solutions. Responsibilities include driving strategic innovation, conducting design and code reviews, and deploying high-performance systems.
The Solutions Architect will collaborate with clients to gather requirements and translate them into technical specifications. They will design Edge & IoT solutions incorporating AI/ML, work with cloud platforms, and mentor team members, ensuring proper implementation of solutions and staying updated on industry trends.
The ML Technical Lead will advance LLM-powered chatbot technologies through development and experimentation with Retrieval-Augmented Generation. Responsibilities include developing the chatbot system, tuning prompts, and participating in research engagements. The role requires tracking advancements in ML and ensuring alignment with industry standards.
The Senior ML Software Engineer will lead the development of LLM-powered chatbot technologies, focusing on improving evaluation and analytics systems, overseeing project delivery, mentoring junior staff, and engaging in research related to Retrieval-Augmented Generation (RAG).
As a Senior AI/ML Engineer, you will design and implement AI/ML models, collaborate with teams to integrate solutions, analyze datasets, optimize models, and stay updated with advancements. Your role includes mentoring junior members and maintaining deployed models.
Seeking a Senior Machine Learning Engineer, Search & Recommendations with 5+ years of experience in applying ML to recommendation or search domains. Responsibilities include applying state-of-the-art ML techniques, collaborating with engineering teams, providing technical leadership, and nurturing the ML ecosystem.
The Sr Engineer AI/ML will contribute to engineering decisions and lead initiatives in AI and Machine Learning within the Innovation Lab. Key responsibilities include developing solutions, designing CI/CD pipelines, adapting security practices, and collaborating across teams to ensure innovations meet business needs.
The Applied AI/ML Lead will drive the development and deployment of AI and machine learning models for real-world business applications. The role involves leading a team to apply AI/ML techniques, collaborating with cross-functional teams, and ensuring solutions are scalable and integrated into business processes. The position requires mentoring a growing AI/ML team and staying updated with AI/ML advancements.
Top Companies in India Hiring Machine Learning Engineers
See All
All Filters
No Results
No Results
