Land a career in AI with these top artificial intelligence jobs.
Job opportunities in artificial intelligence have improved in recent years as industry demand has grown. The rumor that AI will create a plethora of new employment is accurate. A career in artificial intelligence appears to be more promising than any other job now available.
We've created a list of the 10 current Artificial Intelligence Job Vacancies below for this week.
Robotics & AI Trainer: STEM, Robotic & Artificial Intelligence at NPS International School
Location: Guwahati, Assam
- Have excellent communication skills.
- Have an openness to learning and innovation.
- Be comfortable with the use of technology.
- Enjoy working in a multicultural environment.
- Work collaboratively within teams.
NLP Engineer – Artificial Intelligence at Big. jobs
Location: Gurugram, Haryana
- Understand the requirements of the content team and build content models based on the same.
- Help the company manage the data pipeline to improve the AI engine.
- Productize the several content models available.
- Write scalable code.
- Take complete ownership of the content models.
Artificial Intelligence & Machine learning at Seven Consultancy
Location: Secunderabad, Telangana
- To help to design, innovating and building the company's next-generation ML architecture.
- Full-time programming experience within an operation or technical department.
- Identify valuable data sources and automate collection processes.
- Undertake to preprocess of structured and unstructured data.
Location: Hyderabad, Telangana
- Deliver a commercially deployable platform that provides an intuitive collaboration solution targeted at enterprise customers.
- Use NLP and ML techniques to bring order to unstructured data.
- Experience in extracting signals from noise in large unstructured datasets is a plus.
Artificial Intelligence Strategist at Kimberly-Clark Corporation
Location: Bangalore, Karnataka
- Interact with business teams and have a deep understanding of the business functions and processes of Kimberly-Clark.
- Conduct workshops and discovery sessions to analyze current priorities, challenges, and focus areas of business teams.
- Craft appropriate data science solutions working closely with business teams and data science leads and using value engineering techniques and frameworks.
Artificial Intelligence / Machine Learning Engineer at Healthcoco
Location: Nagpur, Maharashtra
- Build and deploy new AI products from the ground up.
- You will be part of a team helping chart the company's AI strategy and define the problems it is solving with AI.
- You will help build the company's AI development and production infrastructure and set its technical standards.
Artificial intelligence Architect at Grey Matter Resources Private Limited
Location: Chennai, Tamil Nadu
The company requires candidates who have 8+ years of experience in Azure Machine Learning, developing Chatbot or NLP-based applications.
Lead Artificial Intelligence Specialist at Baker Hughes
Location: Bengaluru, Karnataka
- Checking availability and relevance of internal and external data sources; clean and validate data.
- Proposing and leading new data collection activities, if necessary.
- Contributing to AI algorithms development: model problems, discover insights, apply AI, mining, statistical, and visualization techniques.
Senior/Lead Data Scientist – Machine Learning/Deep Learning at Squareroot Consulting Pvt Ltd
Location: Bengaluru, Karnataka
- As an ML Engineer / Data Scientist, you will work on cutting-edge problems in Natural Language Processing using Deep Learning.
- Perform exploratory data analysis to understand the problem.
- Implement and experiment with different features and architectures for Deep-Learning models for NLP.
Artificial Intelligence Engineer at Magnific IT Consulting
Location: Hyderabad, Telangana
- Responsible for designing, undertaking, and analyzing information.
- Capable of handling many aspects of developing an application, including but not limited to performance, scalability, security, testing.
- Help to safeguard the organization's computer networks and systems.
- Playing a key role in the design, installation, testing, and maintenance of software systems.
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