Artificial Intelligence (AI) Jobs by Salary: An Ultimate Guide

AI is a terrific job choice right now, and as more businesses use AI, the demand for experienced workers grows. Although some AI specialists believe that AI would eliminate a substantial number of human occupations, others believe that this technology will provide many major and practical work prospects. So, if you consider yourself an AI enthusiast, keep focused and train for a rewarding career in AI. Boost Your Skills by Learning: Digital Marketing
 
Table of Content:
AI Jobs by Salary

AI Jobs by Salary:
Salaries for artificial intelligence (AI) in India vary according to experience. AI developers with 0-2 years of expertise may expect to earn Rs. 4-8 lakhs per year.

Source: Safalta

AI engineers at the mid-level with 2-5 years of expertise might earn Rs. 8-15 lakhs per year. AI developers with 5-10 years of expertise may expect to earn Rs. 15-30 lakhs per year. AI developers at the senior level with 10+ years of expertise might earn Rs. 30+ lakhs per year. The average income for an AI engineer in India is $10,64,199 per year, according to Glassdoor. In India, the typical incremental monetary pay for an AI engineer ranges from 20,000 to 2,000,000. In India, the need for AI specialists is quickly expanding. Job titles such as AI Research Scientist, Machine Learning Engineer, and Data scientist, Natural Language Processing expert, and Computer Vision Engineer are in great demand.
 
Artificial Intelligence (AI) Jobs:
1) Engineer in Artificial Intelligence, Cardinal Financial:

• Remote
• 1 - 2 years

Detailed job description:

• Expertise in cloud AI infrastructure design and implementation, machine learning methods, and software engineering will be essential in developing intelligent systems that optimize processes, give actionable insights, and improve user experiences across several domains.
• The Applied Artificial Intelligence (AI) Engineer assists in the future direction of our company by designing, developing, and deploying AI solutions that address real-world challenges and produce economic value.
• The Applied Artificial Intelligence (AI) Engineer collaborates with diverse technological teams during the ideation and implementation phases, providing knowledge and direction.

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You'll Need:

• Proven experience as an AI Engineer, Machine Learning Engineer, or comparable function, with at least 2 years in the AI sector.
• A bachelor's or master's degree in computer science, data science, applied mathematics, or a related discipline is required, or comparable experience.
• Proficiency with data analysis and visualization tools (for example, Pandas, Matplotlib, Tableau) to extract insights and effectively explain results.
• 1-2 years of experience working with model development and deployment lifecycles in the cloud utilizing ML infrastructure and MLOps.
• Strong problem-solving abilities and the capacity to apply AI techniques to real-world circumstances, determining the best ways for various use cases are required.
• Expertise in data science, software development, or a related discipline is required.
• Understanding of cloud systems (for example, Google Cloud, AWS, Azure) and associated AI services for scalable and distributed computing.
• Strong programming language skills in Python, Java, or C++, as well as knowledge of AI libraries and frameworks (e.g., TensorFlow, PyTorch, sci-kit-learn).
• Expertise in document comprehension techniques such as text extraction, categorization, entity identification, information retrieval, and semantic analysis.
• Experience with real-world datasets including data preparation, feature engineering, and data wrangling methodologies.
• Solid knowledge of machine learning techniques, statistical modeling, data science, and data mining methods.

2) ARTIFICIAL INTELLIGENCE: DATA SCIENTIST, Bangalore/Bengaluru:

• Experience ranging from 3 to 7 years (s).

Position Description:
As a Data Scientist at IBM, you will analyze information, communicate results, and collaborate on product development to help translate our clients' data into meaningful business value. Use best-of-breed open-source and visual tools, as well as some of the most adaptable and scalable deployment alternatives. You will work to address real-world challenges for companies that are changing how we live, whether it be examining patient trends or weather patterns.
Your Position and Responsibilities:

• Work with a larger team to develop, assess, and enhance AI solutions.
• You will also collaborate with our software engineers to consume various corporate apps.
• Technical and professional expertise is required.
• Azure Data scientist with marketing mix expertise Modeling in conjunction with Databricks and data factory
• Creating and deploying data models to aid in the detection of patterns and trends.
• Collaboration Collaboration with data engineers is required to improve and manage data pipelines.
• Perform quantitative analyses to convert data into useful insights and to make analytical, data-driven decisions. Identify and suggest process enhancements to increase the data platform's efficiency. Create and keep data models, algorithms, and statistical models up to date.
• Preferred Technical and Professional Knowledge
• Knowledge of conversation analytics
• Knowledge of cloud technologies
• Knowledge of data exploration tools such as Tableau

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 3) Engineer in Artificial Intelligence, Blinkin

• 3 - 8 years
• Remote

Detailed job description:

• This position's responsibilities include developing and successfully deploying AI and traditional CV models in our partner industries, collaborating and guiding fellow teammates, engaging with clients to understand their requirements, and actively participating in management and business development activities.
• We are searching for a hands-on artificial intelligence engineer with past expertise in computer vision and deep learning.

The ideal candidate for this position

• You also bring computer vision and image processing skills (Opencv and comparable libraries) to the table. You are familiar with AI architectures and contemporary methods for Edge AI, and training models on Cloud GPU instances is not difficult for you.
• You should be comfortable with Python and object-oriented programming. You are well-versed in deep learning and machine learning algorithms, as well as TensorFlow, Keras, Scikit-learn, and related Python libraries.

Right now, AI is a fantastic career option, and as more firms adopt AI, the demand for skilled individuals rises. Although some AI experts predict that AI will destroy a significant number of human vocations, others feel that this technology will bring many significant and practical job opportunities. So, if you're an AI enthusiast, stay focused and prepare for a fulfilling job in AI.

Read More: How to find forward looking Jobs in AI
 

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