Top Artificial Intelligence Jobs in Bengaluru, KA
Lead a team of Specialist Solutions Architects in Data & AI, focus on enterprise customers in India, drive APJ Region expansion, coach sales team, enhance team effectiveness, build relationships with key stakeholders, and scale the Field Engineering segment organization.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
AI/ML Engineer responsible for designing, developing, and deploying machine learning models in NLP and LLM areas. Collaborate with data science and data engineering teams, stay updated with AI advancements, and contribute to research findings. Requires 2+ years of experience, proficiency in programming languages, ML frameworks, NLP tools, Azure ML services, and data engineering concepts.
Join Postman as an AI Builder, working on developing and implementing AI-powered products and workflows into Postman’s product. Collaborate with cross-functional teams, stay up-to-date with AI technologies, and deliver product features on time.
As a Senior/Lead Software Engineer - AI at HiLabs, you will work on developing and implementing machine learning algorithms for various healthcare solutions. You will collaborate with stakeholders and data engineers to deliver scalable and robust data products. Responsibilities include leveraging AI/ML techniques, optimizing machine learning solutions, and leading a team to strategize and evaluate AI-based healthcare solutions.
Develop and deploy custom GPT models for enterprise applications, integrate with third-party APIs, collaborate with teams to implement new features using AI technologies, optimize and scale AI-driven solutions, stay updated with advancements in AI and machine learning.
Seeking a Senior Developer in AI/ML to work on large-scale datasets, preprocess data, implement neural network architectures, optimize model performance, and stay up-to-date on the latest advancements in AI research. Responsibilities include training partners on Snowflake, providing technical strategies, and leading solution design workshops.
AI/ML Engineer at Zamp responsible for leading the development of cutting-edge AI solutions, optimizing data pipelines, conducting exploratory data analysis, evaluating and benchmarking AI models, and staying updated with the latest advancements in AI/ML.
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Own large new areas within our data management software, and build them from ground up. Participate in the entire product lifecycle from concept through production. Be able, and willing, to multi-task and learn new technologies quickly.
Seeking a data-driven AI Engineer to develop GenAI applications and advanced natural language processing solutions for mining operations at a cryptocurrency pioneer. Responsibilities include model implementation, collaboration with Senior Data Scientists, and maintaining thorough documentation for mining model workflows.
Responsible for architecture, design, and implementation of Hitachi Analytics Infrastructure solutions focusing on AI and ML/DL technologies. Develop solutions, deliver technical presentations, and support Go-To-Market teams. Location: Hyderabad, Bangalore & Pune, India.
Lead a team of Specialist Solutions Architects in the Data & AI domain for a large enterprise & strategic customers in India. Responsible for team building, rapid scaling, driving revenue opportunities, and enhancing team effectiveness. Promote solution-based selling, coach and mentor the team, and collaborate with key stakeholders.
We are looking for a Rust Engineer to contribute to our groundbreaking Hiveon ASIC Firmware product, revolutionizing the world of ASICs with innovative and game-changing solutions of our firmware.
Join NVIDIA as a System Software Engineer to develop tools for building powerful conversational AI agents driven by Large Language Models. Responsibilities include building scalable workflows, developing domain-specific agents, evaluating system performance, and collaborating with teams on product features and improvements.
Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications. Collaborate with cross-functional teams to translate business requirements into technical solutions. Mentor junior developers and stay updated with AI/ML advancements.
AI ChatBot Developer responsible for designing, developing, and deploying conversational agents that can interact with humans in natural language. Requires strong programming skills, NLP expertise, and experience with chatbot development platforms and tools.
The Staff AI Scientist at GE HealthCare will work on developing and implementing novel machine learning algorithms in the area of LLM for automation of clinical tasks. Responsibilities include building prototypes, exploring human feedback, and staying current with AI technologies. Candidates must have a Master's Degree in a STEM field with 5 years of AI development experience or a Ph.D. with 3 years of AI development experience. Strong expertise in generative AI models and implementation experience in Python and C++ are required.
As a Software Test Automation Engineer at Lilly, you will be responsible for designing and implementing test frameworks and infrastructure to accelerate delivery and improve the quality of applications. The role requires strong programming skills, proficiency in testing applications and services, and automation to enhance team velocity. Key responsibilities include researching and applying new technologies, independently problem-solving, and influencing team adoption of best practices.
Develop and implement algorithms and data for artificial intelligence applications including NLP and computer vision. Manage and utilize knowledge in various domains using knowledge expression methods like frames and ontology. Conduct advanced statistical analysis, machine learning, and data mining techniques. Design and develop large-scale software using Python and Java.
The AI Software Engineer II is responsible for designing, developing, and implementing new or modified software products for ongoing AI/decision technology projects. They collaborate closely with various teams to ensure software projects meet requirements and focus on integrating different AI algorithms to create user-friendly solutions.
The employee will be responsible for the creation, scheduling, orchestration, and management of cloud infrastructure services. They will work on various aspects of information retrieval, integrate search solutions with data sources, and collaborate closely with cross-functional teams to create high-performance solutions.
As an Engineering Manager at Turing.com, you will lead a team of talented engineers, drive technical vision and execution of complex projects, and foster a culture of continuous improvement. Responsibilities include innovation in product features, project allocation, team throughput optimization, quality control, and talent management. Strong technical skills in Swift and data analysis are required. Qualifications include a Bachelor's or Master's degree in Computer Science or related field.
Seeking an experienced AI/ML Engineering Manager to lead a team of developers and data scientists in delivering innovative solutions. Responsibilities include team management, technical expertise in AI/ML, fostering innovation, project management, code reviews, and collaboration with stakeholders. Qualifications include a Bachelor's degree, advanced degree, 6+ years of AI/ML engineering experience, strong programming skills in Python, and proficiency in AI/ML algorithms and frameworks.
Seeking an experienced Full Stack Engineer to develop an AI system, including frontend and backend components, RESTful APIs, integration with external systems, database schemas, and CI/CD pipelines. Collaborate with AI/ML engineers and stay updated with emerging technologies.
Principal AI Architect responsible for designing, developing, and deploying generative AI solutions aligned with business objectives. Collaborate with cross-functional teams to drive innovation and ensure successful AI implementation. Architect scalable AI models and systems, establish best practices for ethical AI use, and stay abreast of advancements in AI technologies.
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