Top Artificial Intelligence Jobs in Bengaluru, KA
Seeking a skilled Senior IT Analyst Technical Infrastructure with 10+ years of experience in AWS Database Administration to design, manage, and optimize data platforms for AI initiatives. Responsibilities include coaching, providing technical leadership, researching new technologies, supporting complex issues, managing data projects, and developing documentation.
Seeking a skilled Senior IT Analyst Technical Infrastructure (AI Database Architect-Snowflake) with 10+ years of overall experience in the IT domain. Responsibilities include designing, managing, and optimizing data platforms supporting AI initiatives, providing technical leadership, conducting research on new data platform technologies, participating in projects and audits, and developing documentation. Required skills include cloud architecture, Snowflake database experience, programming skills in SQL and Python, database performance tuning, data warehousing knowledge, and more.
Seeking a skilled Software Engineer (UI Developer) to lead UI development for AI/ML solutions, manage a team of developers and designers, collaborate with multiple teams, and ensure successful project delivery at Caterpillar Inc.
Seeking a skilled Senior IT Analyst with 10+ years of overall experience in IT to design, manage, and optimize data platforms supporting AI initiatives utilizing Azure Database technology. Responsibilities include providing technical leadership, research on new data platform features, and participating in data-related projects and audits.
Seeking a skilled Data Scientist (AI Vector DB Engineer) to design, implement, and optimize vector databases for high-performance, large-scale data processing and retrieval. Required 7-8 years of relevant experience in vector DB with a total of 10 years experience. Must have a deep understanding and hands-on experience with vector databases and strong programming skills in Python, C++, or Java.
Seeking a skilled Software Engineer (AI Build & Support Team - Python Developer) to lead the development and configuration of software systems using Python. Responsibilities include collaborating with teams, providing technical leadership, conducting code reviews, and staying updated with software development advancements.
Seeking a highly skilled Senior AI Engineer to develop and implement cutting-edge AI and Automation technologies at BlackLine. Responsibilities include designing solutions, collaborating with cross-functional teams, evaluating business process automation opportunities, and maintaining high code quality standards.
As a Software Engineer III at JPMorgan Chase, you will design and deliver trusted market-leading technology products in a secure and scalable way. Responsibilities include executing software solutions, creating secure and high-quality production code, implementing machine learning algorithms in the banking domain, and collaborating with cross-functional teams to drive innovation in banking products and services.
Featured Jobs
Principal Engineer on ITSM team working on cutting-edge AI and ML algorithms to modernize IT Operations by reducing MTTR and MTTI, leading projects, collaborating with teams, and shaping future of AIOps.
Design, develop, and implement Gen-AI applications aligned with business use cases. Showcase Proof-Of-Concept projects and collaborate with cross-functional teams to solve business problems using AI. Build scalable Gen-AI systems and mentor junior team members on best practices.
The AI Software Engineer at Motorola Solutions will work across platform technologies, developing AI models, analyzing data, and collaborating with cross-functional teams to create novel solutions. Required skills include Python, Node.js, C/C++, Java, Tensor Flow, PyTorch, Keras, SQL, NoSQL, GCP, AWS, and Azure.
As a Principal Engineer on the AI & ML Platform team at Atlassian, you will build and shape the core infrastructure for ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models. You will work on systems for product teams like Jira & Confluence to provide access to curated LLMs, tackling complex infrastructure challenges and leading engineers to drive projects from technical design to launch. You will also collaborate with other teams, deliver solutions used by other teams and products, and mentor junior members on the team.
The Vice President of Artificial Intelligence and Machine Learning at JPMorgan Chase & Co. will lead strategic projects and develop data-centric solutions that drive business outcomes. Responsibilities include engaging with stakeholders, developing AI/ML solutions, collaborating with teams, and coaching team members. Preferred qualifications include a financial services background and a PhD in a relevant discipline.
Conceive, research, and prototype new parallel and distributed computing algorithms and frameworks with a focus on artificial intelligence. Develop relevant software and hardware technologies for products at Intel Labs. Collaborate with academic and industry partners and contribute to scientific literature and research community.
Design, develop, and maintain scalable data pipelines, build API integrations, and collaborate with analytics and business teams to improve data models for data-driven decision making.
Seeking an experienced Engineering Manager, Software(AI Dashcam Products) to lead the development of new product features for Fleet Safety and the AI Dashcam software. Must have a strong technical background in agile product development, distributed systems, and cloud computing.
Seeking a talented Senior Generative AI Engineer with experience in developing and training Generative AI models. Responsibilities include implementing advanced machine-learning algorithms and models to enhance the platform's capabilities. Must have proficiency in Python and hands-on experience with machine-learning models.
The Staff AI Scientist at GE HealthCare will focus on developing and implementing novel machine learning algorithms in the area of LLM to automate clinical tasks using medical images, electronic medical records, waveforms, and clinical reports. Responsibilities also include exploring human feedback for AI learning, prototyping high-performance AI algorithms, developing new deep learning capabilities, and working with large-scale datasets.
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.
Conversational AI Engineer L4 responsible for designing, developing, and implementing conversational bots to streamline business processes and improve operational efficiency. Collaborate with cross-functional teams to identify automation opportunities and deliver automation solutions using automation technologies and programming languages to achieve strategic goals.
Seeking a highly skilled Solution Architect to design and implement customer-specific solutions using Skypoint AI Platform, manage AI copilots, and ensure seamless integration of data platforms. Responsible for solution design, development, AI copilot management, stakeholder management, and collaboration with cross-functional teams.
Design, develop, and implement conversational AI solutions to streamline business processes and improve operational efficiency. Collaborate with cross-functional teams to deliver robust automation solutions using AI technologies.
Join Postman as an Applied AI Engineer to work on developing and implementing AI-powered products and workflows. Collaborate with cross-functional teams and stay ahead with the latest AI developments. Ideal for product-minded engineers with experience in shipping AI features and basic machine learning methods.
Seeking an AI Engineer to develop Generative AI models for healthcare and financial services industries, with a focus on senior care. Responsibilities include designing AI models, managing MLOps pipelines, mentoring team members, and refining machine learning models.
Develop and implement algorithms for medical datasets analysis using machine learning, AI, and deep learning. Create statistical evaluations, verify algorithms, and provide technical documentation. Mentor junior team members and support deployment of algorithms.
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