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As artificial intelligence continues to expand, it has increased job opportunities creating new pathways. The AI job market is brimming with job openings offering diverse roles to individuals. Here, we will explore the artificial job openings in this week:
Role Overview
Tether.io is seeking an AI Engineer (LLM) to build AI solutions ranging from large-scale models for advanced applications to smaller, efficient models tailored for edge devices like mobile phones and laptops.
Key Responsibilities
Research and develop multimodal AI models that set new industry standards.
Collaborate with other departments to integrate AI models into market-driven solutions.
Qualifications
A degree in Computer Science, preferably a PhD in AI, Machine Learning, or a related field.
Proven experience in building large models from scratch, including model coding, data gathering, and optimization.
Strong expertise in NLP, multimodal learning, and proficiency in TensorFlow, PyTorch, JAX, and CUDA toolkit.
Career Impact
Joining Tether.io offers the opportunity to work on cutting-edge AI models and solutions that aim to exceed current industry standards, contributing to both technological advancement and broader accessibility.
Role Overview
TechHost Services is on the lookout for an AI/ML Developer to design, implement, and maintain machine learning and deep learning algorithms to drive key business initiatives.
Key Responsibilities
Collaborate with cross-functional teams to identify and define machine learning tasks.
Develop models for NLP, computer vision, and predictive analytics.
Collect, clean, and preprocess large datasets.
Build scalable machine learning pipelines and frameworks.
Implement and optimize machine learning models in production environments.
Conduct performance analysis and fine-tune models.
Stay updated with the latest AI/ML advancements and integrate new technologies.
Ensure seamless data flow for model training and deployment.
Participate in code reviews and mentor junior team members.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
Proven experience in developing and deploying machine learning models using Python and popular libraries (TensorFlow, PyTorch, scikit-learn).
Solid understanding of machine learning algorithms and deep learning techniques.
Proficiency in data analysis, feature engineering, and model evaluation.
Experience with cloud platforms (AWS, Azure, GCP).
Familiarity with version control systems like Git.
Career Impact
This role provides a comprehensive experience in AI/ML development, allowing you to work on a variety of machine learning tasks and collaborate with diverse teams, enhancing both technical and leadership skills.
Role Overview
EY is hiring an AI/ML Developer to contribute technically to Risk Assurance client engagements and internal projects. This position involves supporting seniors and managers, participating in client engagements, and identifying risks within these engagements.
Key Responsibilities
Develop robust AI/ML models to derive valuable insights and enhance decision-making.
Use predictive modeling to improve customer experiences, revenue generation, ad targeting, and other business outcomes.
Apply advanced machine learning techniques to complex problems.
Utilize prompt engineering to design and implement innovative workflow orchestration solutions.
Qualifications
Over 2 years of experience in developing AI/ML models.
Good understanding of machine learning, NLP, LLM, GenAI, and deep learning.
Expertise in machine learning techniques like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting.
Proficiency in prompt engineering tools such as Python, Airflow, and Terraform.
Career Impact
Joining EY provides the opportunity to work in a dynamic environment focused on risk assurance and predictive modelling, contributing to a positive learning culture and driving business outcomes through AI/ML solutions.
Role Overview
Pathsetter AI is seeking a Junior AI/ML Engineer to design and develop AI/ML products, focusing on best practices around coding, design, quality, and performance.
Key Responsibilities
Design, develop products and/or services leveraging on Intelligent platforms.
Set a trend towards coding, design as well as having a great performance.
Modify the products to fit the advances in technology and specific clients’ needs.
Collaborate with customers in order to ascertain and determine which specific solutions involving AI/ML are most suitable for a given client’s needs.
Some of the possible software qualifications are; Tracking of development, bugs and other life cycle stages.
Qualifications
0 to 2 years of experience in full-stack programming languages and frameworks.
Knowledge of the latest AI platform offerings.
Experience in resolving technical problems.
Excellent communication skills.
Career Impact
This role is ideal for fresh graduates or early-career professionals from premium institutes, offering a solid foundation in AI/ML development and the chance to work closely with customers to deliver customized solutions.
Role Overview
ShamiRa Talent Solution LLP is looking for an ML Engineer to write clean, well-thought-out designs and code, emphasizing quality, simplicity, and maintainability.
Key Responsibilities
Customers’ needs have to be taken into consideration concerning development of systems.
Review the designs, code and test case documents.
Implementing change to include the use of new technologies, tools, methods, and processes.
Review and make suggestions of technology solutions to application architecture issues.
Consult on the design of the teams and the selection of technologies.
Be involved in DevOps and Agile.
Qualifications
5 to 8 years of experience in design, development, and testing using Microsoft technologies (C#, .NET, SQL Server).
Experience in API/backend code development in C#, ASP.Net, MVC, WebApi.
Front-end development experience in JavaScript and Angular.
Hands-on experience with Microsoft Azure.
Excellent written and oral communication skills.
Understanding of enterprise-scale technologies and large-scale services development.
Career Impact
This position proposes the ability to interact with big and sophisticated applications which would confer expertise in different Microsoft technologies and enterprise approaches thus contributing to both technical and architectural developments.
It is critical to comprehend the significant variety of available career paths within the AI field since the vacancies are suitable for various levels of employment and fields of specialization. These jobs give a call to everyone, whether one is already an expert in a specific field or a fresh graduate, and allow one to deal with the innovative technologies, work with the teams from the different departments, and help to make progress in the development of AI and machine learning.
Currently, several fields within AI are experiencing high demand. Natural Language Processing (NLP) is a major area, driven by the need for chatbots, virtual assistants, and language translation services. Another booming field is Computer Vision, essential for applications in facial recognition, autonomous driving, and medical imaging. Additionally, Machine Learning (ML) and Deep Learning are pivotal in developing predictive models and personalized recommendations.
These technologies power innovations in finance, healthcare, and e-commerce. AI ethics and governance are also gaining traction as organizations seek to implement AI responsibly. Furthermore, AI-driven automation is transforming industries, increasing demand for expertise in Robotic Process Automation (RPA).
Yes, AI careers are among the highest-paying jobs in the tech industry. The demand for AI professionals outstrips supply, driving up salaries. Roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, and AI Ethics Officer command significant pay. These positions often require advanced technical skills and knowledge of programming languages like Python, R, and frameworks like TensorFlow and PyTorch.
According to various salary surveys, AI engineers can earn an average salary of US$100,000 to US$150,000 per year, with top-tier companies offering even higher compensation packages, including bonuses and stock options. In leadership or specialized roles, salaries can exceed $200,000 annually.
AI is poised to create a plethora of new job roles, transforming various sectors. One emerging role is that of an AI Ethicist, focusing on the ethical implications and governance of AI technologies. AI Trainers will be needed to teach AI systems using domain-specific data, enhancing their accuracy and functionality.
Data Labelers are critical for training supervised learning models by annotating large datasets. The rise of AI in healthcare will spawn roles like AI Health Specialists, who develop and implement AI-driven medical diagnostics and treatment plans. Autonomous Vehicle Engineers will design and maintain self-driving cars and drones.
Starting a career in AI requires a combination of formal education, practical experience, and continuous learning. Begin with a strong foundation in mathematics, statistics, and computer science, often obtained through a bachelor's degree in these fields.
Pursue specialized courses in machine learning, data science, and AI from reputable institutions or online platforms like Coursera, edX, and Udacity. Learning programming languages such as Python and R, along with frameworks like TensorFlow, PyTorch, and Keras, is crucial. Gain practical experience through projects, internships, and contributions to open-source AI initiatives.
In Hyderabad, AI developers can expect competitive salaries that reflect the city's growing prominence as a tech hub. Entry-level AI developers typically earn between Rs6 - Rs10 lakhs per annum. With a few years of experience, mid-level professionals can command salaries ranging from Rs10 - Rs20 lakhs per annum.
Senior AI developers and specialists with extensive experience and advanced skills can earn upwards of Rs20 lakhs, with some roles offering salaries as high as Rs30 lakhs or more annually. Salaries can vary significantly based on factors such as the company, specific job role, individual skill set, and educational background.
