Senior Machine Learning Engineer

Machine learning engineers create self-running AI software that automatizes predictive models to recommend searches translators and virtual assistants applications chatbots, driverless vehicles. They create machines learning systems, implement algorithms to make precise predictions, and solve problems with data sets.

Within the context of the Senior Machine Learning Engineer role, employees are expected to fulfill the following roles and responsibilities in order to make meaningful contributions towards organizational success.

• Conducting research, designing, and implementing machine learning models to solve complex business problems.
• Conducting exploratory data analysis and presenting findings to stakeholders in a visually appealing and understandable way.
• Working closely with software developers, data engineers, and other teams to integrate machine learning models into production systems.
• Staying up-to-date with the latest techniques and technologies in machine learning, and continuously improving the performance of existing models.

Major educational qualifications required for Senior Machine Learning Engineer are:

• Bachelor's degree in data science, computer science, math or any related area.
• A master's degree in computational data analytics, linguistics, or a similar field will be beneficial.
• Minimum of two years' experience as a machine-learning engineer.
• Expertise in Python, Java, and R code writing.
• A vast understanding of ML frameworks, libraries and models of data, structures for data, as well as software design.
• A thorough understanding of statistics, mathematics, and algorithms.
• Excellent analytical and problem-solving skills.

If you are interested in tech and have experience in Machine Learning (ML), you may be wondering about other job roles related to this field. Consider the following four alternative roles for an experienced Machine Learning engineer in India with 0-3 years of experience:

• Junior Machine Learning Engineer: This role would require some experience with ML frameworks and tools, but less leadership and project management experience.
• Machine Learning Researcher: In this role, you would be expected to develop new algorithms and models for use in machine learning applications.
• Data Scientist: This role would be focused on analyzing and interpreting data to extract insights and create predictive models for business purposes.
• Software Engineer: If you are interested in developing software applications that use machine learning technology, you may consider pursuing a role as a software engineer. You would be responsible for working with a team to design and develop applications that incorporate machine learning elements.

The job role of Senior Machine Learning Engineer has been projected to grow rapidly in the Indian market. According to an analysis by LinkedIn, data science and machine learning roles are the top emerging jobs in India. The job role has witnessed a 344% growth rate in the past four years. Over the next decade, the demand for machine learning specialists is expected to increase dramatically. Around 2.7 million job openings are expected in the field of data science and machine learning in India by 2021. As per the latest data points available with Google, the future looks promising for Senior Machine Learning Engineers.