Job Description
Studio Dev Hub – Engineering Jobs Circular 2024 Job Details:
We are pleased to provide you with comprehensive information regarding the Studio Dev Hub Job Circular 2024 for the position of Machine Learning Engineer. Our objective is to present this information in an organized and easily accessible manner, ensuring that you can quickly access the essential details. If you are interested in exploring other enticing job opportunities, such as Government Jobs, Banking Jobs, Private Sector Jobs, Military Jobs, NGO Vacancies, iDE Job Circular 2024 and more, we encourage you to explore our dedicated category section.
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Code: | NT52K 656 |
Employer: |
Studio Dev Hub |
Post Name: | Machine Learning Engineer |
Job Location: | Dhaka |
No. of Vacancies: | — |
Job Type: | Full time |
Job Category: | Engineer / Architects |
Gender: | Male/Female Both |
Age Limitation : | — |
Educational Qualifications: | — |
Experience Requirements: | — |
Salary: | 30000 – 50000 |
Apply Procedure: | Send your CV to the e-mail mentioned in the picture |
Application Deadline: | — |
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Apply Procedure:
Send your CV to the e-mail mentioned in the picture.
What is Machine Learning Engineer? What are the responsibilities of this position? What requirements are needed to get this job? and What is the benefit of this position in career?
According to Google, In the ever-evolving landscape of technology, one role stands at the forefront of innovation and advancement: the Machine Learning Engineer. Within the realms of artificial intelligence and data science, these engineers serve as architects of tomorrow’s intelligent systems, wielding the power of algorithms and data to shape the future.
A Machine Learning Engineer is essentially a specialized software engineer with a profound understanding of statistical modeling and predictive analytics. Their primary responsibility is to design, develop, and deploy machine learning models that can analyze vast amounts of data and extract valuable insights. These insights are instrumental in making informed decisions, automating processes, and improving efficiency across various industries.
The duties of a Machine Learning Engineer are multifaceted. They involve not only building and fine-tuning machine learning models but also collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. Data preprocessing, feature engineering, model selection, and optimization are all integral parts of their workflow. Moreover, they are tasked with ensuring the robustness and scalability of deployed models, as well as continuously monitoring and refining them to adapt to changing environments.
To embark on the journey of becoming a Machine Learning Engineer, a solid foundation in computer science, mathematics, and statistics is indispensable. Proficiency in programming languages such as Python, R, or Java is essential, along with a deep understanding of data structures, algorithms, and software development principles. Additionally, expertise in machine learning frameworks like TensorFlow, PyTorch, or scikit-learn is highly desirable. A formal education in computer science, engineering, or a related field, preferably at the graduate level, can provide the necessary theoretical knowledge and practical skills to excel in this role.
However, beyond technical prowess, a Machine Learning Engineer must possess strong analytical and problem-solving abilities. The ability to think critically, experiment with different approaches, and iterate rapidly is crucial in tackling complex real-world challenges. Effective communication skills are also vital for collaborating with stakeholders and conveying technical concepts to non-technical audiences.
The benefits of a career as a Machine Learning Engineer are abundant. Not only does it offer the opportunity to work on cutting-edge technologies and solve intellectually stimulating problems, but it also presents lucrative career prospects in today’s data-driven economy. With the increasing demand for AI-driven solutions across industries ranging from healthcare and finance to e-commerce and autonomous vehicles, Machine Learning Engineers are in high demand. Moreover, the continuous evolution of machine learning techniques and the exponential growth of data ensure that this field will remain dynamic and rewarding for years to come.
In essence, the role of a Machine Learning Engineer embodies the convergence of computer science, mathematics, and domain expertise, with the overarching goal of harnessing the power of data to drive innovation and create value. It is a role that not only shapes the future of technology but also offers boundless opportunities for personal and professional growth.
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