Top Artificial Intelligence Jobs in India

As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate, responsible for developing state-of-art ML models, collaborating with various teams, and deploying solutions into production. Required expertise in Deep Learning and classical ML techniques. Hands-on experience with virtual assistant model development and optimization. Strong analytical thinking and communication skills are essential.

The Applied AI ML Lead will develop advanced machine learning models for NLP, speech analytics, and recommendations, collaborating with various teams to deploy solutions and ensuring effective model performance evaluation. A strong background in machine learning techniques and a passion for innovation are essential.

The Senior AI Research Engineer will design and build solutions for natural language technologies, optimize models, conduct data analysis, and collaborate with AI teams to innovate and enhance products. Responsibilities include implementing NLP and machine learning methods, and staying up-to-date with advancements in the field.

As a Principal Engineer on the ITSM team, you will work on AI and ML algorithms to enhance IT Operations, reduce incident response times, and lead engineering projects. Your role involves collaborating with cross-functional teams to innovate and improve IT service management through machine learning techniques, while ensuring high software performance and reliability.

The Senior AI/ML Engineer will advise on data science activities, lead Gen AI use cases, design and implement MLOps pipelines, and automate ML tasks. Responsibilities include model development, data quality monitoring, and project management in collaboration with various stakeholders.

As a Senior Scientist at Pfizer, you will design and develop drug formulations, leveraging scientific knowledge to enhance drug delivery and performance. Your role includes mentoring team members, collaborating on multidisciplinary projects, and authoring regulatory submissions. You'll utilize technical expertise to solve project challenges and ensure quality outcomes to support the development of novel medicines.

The AI Solutions and Delivery Engineer will design, develop, and manage AI solutions across Pfizer. Key responsibilities include front-end and back-end development, API design, project management, and mentoring staff. This role requires extensive collaboration with teams to create effective and scalable technology solutions in a fast-paced environment.

The Director, AI Platform will lead ServiceNow's Emerging Technology Group, focusing on AI-driven automation and innovation. Responsibilities include managing AI experiences like Search and Automation while supporting internal product implementations and driving forward-thinking solutions across the organization.

As a Software Engineer at Acquia, you will work on building applications and APIs centered around AI. You will collaborate with engineering teams to refine requirements, participate in code reviews, and contribute to compliance and testing efforts. The role requires rapid prototyping, experimentation, and adherence to security best practices, contributing to the overall stability and performance of the digital experience platform.

As a Senior Full Stack Software Engineer at Acquia, you will build and maintain AI services on the AWS platform that enhance the digital experience platform. You'll work closely with cross-functional teams, contribute to coding, system design, compliance, and collaborate on architectural goals while focusing on security and performance.

In this role, you will build high-quality, scalable software by enforcing best practices and working closely with product owners. You will design and implement new features and products, mentor colleagues, and ensure high-quality delivery of your code from design to implementation.

As an AI Backend Developer at Zeta Global, you will analyze data for Gen AI tasks, create AI solutions, manage API deployments, and support product teams. Your work will involve collaborating across departments to develop insights and implement improvements while integrating new developments in Gen AI into the company's data solutions.

The Artificial Intelligence Consultant will develop intelligent algorithms, create brain-like solutions, analyze cognitive functions, and utilize deep learning techniques. Familiarity with 3D graphics software and UI/UX is a plus.

As the Applied AI ML Director at JPMorgan Chase, you will lead the development of machine learning products, promote best practices, and drive innovation across teams. Your role involves creating ML assets, leading technical strategies, translating complex issues for leadership, and fostering a culture of diversity and inclusion.

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.

The AI Research Scientist will explore and implement innovative architectures across various domains including image, language, and audio. They will collaborate with a diverse team to design scalable AI solutions and conduct research in fields like Machine Vision and Deep Learning.

The Senior AI Software Engineer is responsible for developing algorithms for medical datasets, including CT and MRI, utilizing machine learning and deep learning techniques. This role involves validating results, creating documentation, training team members, and supporting deployment of algorithms without daily supervision.