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Artificial intelligence (AI) is transforming industries and shaping the world around us. From self-driving cars to personalized medicine, AI is powering innovation and solving real-world problems. If you're a talented and motivated individual with a passion for AI, we encourage you to explore these exciting AI jobs in Bengaluru.
Artificial Intelligence
The candidate must be a Machine Learning (ML) and Natural Language Processing (NLP) expert.
The candidate must be a Python, Pytorch, and Data Structures expert.
The candidate must have extensive knowledge of the ML model life cycle (data preparation, model training and testing, and ML operations).
The candidate must have a strong background in NLP, NLU, and NLU with transformers and deep learning.
Experience with federated learning is preferred.
Knowledge graph and ontology experience.
Responsible for the development, enhancement, modification, optimisation, and/or maintenance of applications, pipelines, and codebase to improve the entire solution.
Working knowledge of scalable, highly interactive, high-performance systems/projects (ML).
Design, code, test, debug, and document programs, as well as provide support for the corporate systems architecture.
Working together with corporate partners to define needs for ML applications and solution advances.
Participate in requirements for the creation of thorough technical documentation.
Must have experience/knowledge in creating enterprise-grade system architecture for complicated issue solving, as well as a solid grasp of object-oriented programming and Design Patterns.
Excellent communication skills are required in a client-facing workplace.
AI engineer
No experience required
Join as one of the team's first software developers. You will learn as you go about your work. You will work with an experienced team on the most powerful AI algorithms in medical imaging.
Apply here
Data Scientist: Artificial Intelligence
As a Data Scientist at IBM, you will analyze information, communicate results, and collaborate on product development to help translate our clients' data into actual business value. Use best-of-breed open-source and visual tools, as well as the most flexible and scalable deployment alternatives. Whether it's looking at patient trends or weather patterns, you'll be working to address real-world challenges for companies that are changing the way we live.
The resource should have at least 5-7 years of experience. Solid Python expertise is required, as is knowledge of how to use ML-related services.
Python expert with an emphasis on data analytics packages. Strategy Analyze huge, complicated data sets to generate meaningful insights that may be used to guide business choices. Strategy
Developing and implementing data models to help spot patterns and trends. Collaboration with data engineers is required to optimize and manage data pipelines.
Conduct quantitative analyses to transform data into usable insights and create analytical, data-driven decisions. Identify and recommend process improvements to improve the data platform's efficiency. Create and keep data models, algorithms, and statistical models up to date.
Lead Artificial Intelligence Engineer
Create scalable infrastructure, including microservices and a backend, to automate ML model training and deployment.
Developing cloud services for decision support (anomaly detection, time series forecasting, fraud detection, risk protection, and predictive analytics), computer vision, natural language processing (NLP), and voice.
Brainstorm and design numerous POCs for new or old corporate challenges utilizing ML/DL/NLP solutions.
Collaborate with other data scientists/SW engineers to complete other aspects of the infrastructure, successfully conveying your demands and understanding theirs, and addressing external and internal shareholders' concerns.
Artificial Intelligence/Machine Learning Engineer – R&D
Two or more years of expertise using artificial intelligence to practical and comprehensive technology solutions
Experience with machine learning, deep learning, TensorFlow, Python, and natural language processing
Experience with governance, program management, and change management
Basic algorithmic knowledge, object-oriented and functional design concepts, and best-practice patterns
REST API development, NoSQL database architecture, and RDBMS design and optimization experience.
Apply here
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