Artificial intelligence (AI) presents a wide range of opportunities in the digital age, with remote AI jobs becoming more and more accessible to beginners. Organizations are continuously looking for individuals to use AI from the comfort of their homes as technology continues to progress. This article will assist you in navigating the world of remote AI jobs designed for beginners, regardless of your career aspirations whether you're an enthusiast for machine learning, data science, or AI development. Examine your options and apply right away to start a thrilling adventure in the field of artificial intelligence (AI).
Location: Anywhere
Role: Artificial Intelligence (AI) Engineering work from home
Qualification: B.tech, MCA
Required skills: Data Analytics, Machine Learning, Data Science, Neural Networks, Natural Language Processing (NLP), Deep Learning, and Amazon Web Server (AWS).
Responsibilities: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define and refine project requirements.
Apply link:
Location: Anywhere
Role: Machine Learning Engineer
Qualification: Bachelor's degree in a relevant field
Required skills: Understanding of data structures, data modeling, and software architecture, Deep knowledge of math, probability, statistics, and algorithms.
Responsibilities: Study and transform data science prototypes and design machine learning systems. Research and implement appropriate ML algorithms and tools.
Apply link:
Location: Anywhere
Role: Artificial Intelligence Engineer (Remote)
Qualification: B.Tech in Artificial Intelligence, B.Sc in Artificial Intelligence
Required skills: Minimum 5 years of experience in software development, Experience using generative AI for software engineering tasks or products.
Responsibilities: Implementing frameworks that include generative AI into our engineering workflows to greatly increase productivity
Apply link:
Location: Anywhere
Role: Senior Machine Learning (ML Ops) Engineer
Qualification: Bachelor's degree and certifications in machine learning
Required skills: Creating and maintaining ML pipelines to operationalize ML models. Developing & deploying low latency and highly scalable dockerized microservices.
Responsibilities: Working with Peer ML engineers who will be responsible for scaling and deploying machine learning models for Tide. Participating in an agile development team that delivers value iteratively.
Apply link:
Location: Anywhere
Role: Data & AI Engineer
Qualification: Bachelor's degree in Computer Science, Data Science, or a related field.
Required skills: Proficient in programming languages such as Python, R, or Scala, with experience in data manipulation, transformation, and analysis.
Responsibilities: Design, develop, and maintain data pipelines and processes to collect, process, and transform structured and unstructured data from various sources.
Apply link:
Location: Anywhere
Role: AI-powered Task Management Web App
Qualification: Bachelor's degree in a relevant field
Required skills: Helping to automate many mundane tasks associated with project management, including scheduling meetings, assigning tasks, and tracking progress.
Responsibilities: Your scope will be written down and agreed and there shall be no deviation from it to save time as this is a Fastrack project.
Apply link:
Location: Anywhere
Role: AI/ML Engineer/Mid – Senior Level
Qualification: Bachelor's degree in Computer Science, Data Science, and Artificial Intelligence
Required skills: Strong knowledge of Python and relevant libraries (numpy, pandas, scikit-learn, Tensorflow, or PyTorch).
Responsibilities: Excellent teamwork and communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders.
Apply link:
Location: Anywhere
Role: Machine Learning Software Engineer II (Remote)
Qualification: Bachelor's degree in a relevant field
Required skills: Understanding of data structures, data modeling, and software architecture, Deep knowledge of math, probability, statistics, and algorithms.
Responsibilities: Collaborate with cross-functional teams on the development of new features on the Agiloft platform.
Apply link:
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
_____________
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.