High-performance technologies have become increasingly important in recent years. Along with ubiquitious computing, artificial intelligence jobs are also booming, and currently, shows no signs of slowing down. The current tech landscape shows the power of AI in everyday life. Starting from voice assistants that power smart speakers to high-tech superfast computers, these technologies are bringing a positive change in our society and in the industrial sphere. With these growing developments, there seems an inevitable need for artificial intelligence remote jobs. As the pandemic forced companies and global industries to shut down its doors, tech aspirants became more and more interested in remote jobs to avoid relocating someplace else. In this article, we have listed top remote AI jobs that tech aspirants can apply for in March 2022.
Offered by: Digital Horizons Technology & Media Services Private Limited
Location: Bengaluru, Karnataka, India (Remote)
The candidate is required to develop programs that solve client issues and enhance AEE their work easier. They will be using deep learning, NLP, chatbots, etc. to stimulate business growth with innovative ideas, contribute to shaping the artificial intelligence strategies. Their motive will be to use the potential of artificial intelligence and help the organization to achieve its goals. They will also have to collaborate with cross-functional teams to analyze the partner's business and main areas where the application of AI can stimulate business growth.
Offered by: Research Grid Ltd
Location: Tamil Nadu, India (Remote)
The company is recruiting for a data entry clerk to update and maintain data within their two cloud-based systems. The data entry clerk will play a vital role in continually improving the user experience. The candidates will be required to find and extract data from long-form web entries and add these to structured tables. This role requires very high proficiency in written and spoken English, excellent attention to detail, and organizational ability.
Offered by: IBM
Location: Maharashtra, India (Remote)
At IBM, the candidate will use the latest data and AI software development tools, techniques, and approaches and work with leading minds in the industry to build solutions for customers that they can be proud of. The candidate will be working on a customer-facing role understanding customer requirements, proposing appropriate solutions, and ensuring that customer is delighted. They will also be responsible for proposal preparation, solution presentation, and competitive comparison to customers. Lead engagements with clients for providing an IBM Point-Of-View in the areas of governance and data science and its application in varied industries such as BFSI or telecommunication.
Offered by: Talentica Software
Location: India (Remote)
The company is looking to hire a machine learning specialist with experience in different areas of machine learning and is flexible to work in wide areas of ML. The candidates applying for this position must have excellent programming skills and must be able to implement complex algorithms in Python, they should also have an extensive understanding of ML and statistical algorithms, and possess hands-on experience with the use of standard machine learning libraries such as OpenCV, Tensorflow, Keras, etc.
Offered by: Pfizer
Location: Chennai, Tamil Nadu, India (Remote)
The candidate will be responsible for providing expert data analytics and visualization development support to all teams in manufacturing intelligence organisation and in support of project execution at manufacturing sites. They will also have to translate business requirements into tangible solution specifications and high quality, on-time deliverables, develop, test, and deploy intuitive, interactive dashboards for multiple analytics solutions, perform data engineering and data warehousing operations to create a data pipeline for analytics solution development.
Offered by: CasaOne
Location: Bangalore, India (Remote)
The candidate will be required to lead the entire data analytics function, gathering and analyzing data to gain valuable business insights and influence decision-making. They will have their own vision and execution for the product operations function and help in driving the strategy for the organization, apply statistics and data modeling to various aspects of the business, boost business growth, optimizing operational processes, and enhance customer experience.
Offered by: Anubavam
Location: India (Remote)
The candidates will be required to study and convert data science prototypes, design and develop machine learning systems and schemes, perform statistical analysis and fine-tune models using test results, find available datasets online for training purposes, train and re-train ML systems and models as and when necessary, extend and enrich existing ML frameworks and libraries, develop machine learning apps according to customer/client requirements.
Offered by: Jarvis ML
Location: India (Remote)
Jarvis ML is a global team with a track record of building world-class enterprise products and is seeking talented machine learning engineers to develop and optimize ML models. They will develop solutions for real-world, large-scale problems, design, develop, test, maintain and improve machine learning models, manage project priorities, deadlines, and deliverables.
Offered by: Narvar
Location: India (Remote)
The candidate must build machine learning pipelines for use cases spanning e-commerce, consumer trends, markets, logistics, and new products, work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, and also focus on working with large unstructured data, and be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through work.
Offered by: Blacksmith Solution
Location: Tamil Nadu, India (Remote)
The candidates will be responsible for data gathering, clean up, and harmonization from multiple sources, maintaining operations integrity for a different system, including maintaining master data, supervising data discrepancies, and sending periodic reports. They have to work with the teams to provide timely and accurate data to systems, and automate data and reporting, set up systems when needed.
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