AI Developer

Arcitech; Mumbai Suburban; On-site; USD 6,822 - 13,644; Full time

Job summary

An innovative firm is looking for a talented AI Developer to join their dynamic team. This role offers the opportunity to work on cutting-edge AI technologies, including machine learning, natural language processing, and computer vision. You will develop and maintain AI models, utilizing programming languages such as Python and Java, alongside powerful libraries like TensorFlow and Keras. Your expertise will help push the boundaries of machine intelligence, enabling machines to learn from data and understand human interactions. If you're passionate about AI and eager to make a significant impact in the field, this position is perfect for you.

Qualifications

• Bachelor's or Master's in Computer Science or related field required.
• Proven AI development experience with a strong portfolio.

Responsibilities

• Develop AI models using Python, Java, R, C++, and JavaScript.
• Utilize libraries like TensorFlow and Keras for AI solutions.
• Engage in projects involving NLP and Computer Vision.

Skills

Python

Java

R

C++

JavaScript

Machine Learning

Deep Learning

Natural Language Processing

Computer Vision

Data Science

Data Analysis

Mathematics

Statistics

Education

Bachelor's degree in Computer Science

Master's degree in Artificial Intelligence

Tools

NumPy

Keras

TensorFlow

Matplotlib

Seaborn

Azure

AWS

GCP

IBM Cloud

Job description

Overview:

We are seeking a highly skilled AI Developer to join our dynamic team. The ideal candidate will possess a deep understanding of programming languages, libraries and frameworks, mathematics and statistics, machine learning, deep learning, natural language processing, computer vision, data science, data analysis, and cloud computing. This role requires a blend of expertise in AI technologies and a passion for pushing the boundaries of machine intelligence.

Key Responsibilities:

• Develop AI Models: Create, implement, and maintain AI models using Python, Java, R, C++, and JavaScript. Utilize your understanding of these languages' specific applications in AI and Machine Learning for efficient and innovative solutions.
• Utilize Libraries and Frameworks: Employ various libraries and frameworks like NumPy, Keras, TensorFlow, Matplotlib, and Seaborn for data set exploration, scientific computing, and numeric operations.
• Apply Mathematics and Statistics: Use mathematical and statistical methods to enable machines to learn from data. Collect, interpret, and analyze data to understand patterns and provide insightful predictions.
• Implement Machine Learning and Deep Learning: Develop systems that learn from data using Machine Learning and Deep Learning techniques. Apply neural networks to recognize patterns and process large data sets.
• Engage in Natural Language Processing and Computer Vision: Work on projects involving NLP and Computer Vision to enable machines to understand human language and interpret digital images.
• Data Science and Data Analysis: Utilize Data Science and Data Analysis to understand and interpret data, helping make informed decisions, understand customer needs, and track performance.
• Cloud Computing Proficiency: Leverage cloud solutions for scalable IT infrastructure. Develop applications as a set of microservices, ensuring efficient operation in cloud environments like Azure, AWS, GCP, and IBM Cloud.
• Develop Machine Learning Algorithms: Create robust data analytics algorithms for prediction, classification, and categorization. Extract meaningful insights from various data matrices.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in AI development and a portfolio of projects showcasing your skills in the areas mentioned above.
• Strong programming skills in Python, Java, R, C++, and JavaScript, with a focus on AI and Machine Learning applications.
• Proficiency in using AI libraries and frameworks like NumPy, Keras, TensorFlow, etc.
• Solid understanding of mathematics, statistics, machine learning, deep learning, NLP, and computer vision.
• Experience in data science, data analysis, and cloud computing.
• Ability to work in a fast-paced environment and collaborate with cross-functional teams.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting