Required ML Engineer, Bangalore

Job Role - Overview
Job Location/Work Mode - FULLY REMOTE POSITION
We are seeking an experienced ML Engineer to join our team at K.I.T. The ideal candidate will have a strong background in machine learning and software development, with a passion for building innovative solutions. As an ML Engineer, you will be responsible for designing, developing, and deploying machine learning models and algorithms to drive business growth and improvement. You will work closely with cross-functional teams to identify opportunities for machine learning applications and develop solutions to complex problems. If you have a strong foundation in computer science and a passion for machine learning, we encourage you to apply for this exciting opportunity. The ML Engineer will be responsible for developing and maintaining large-scale machine learning systems, collaborating with data scientists to develop and implement new models, and working with engineers to integrate models into existing systems. You will also be responsible for staying up-to-date with industry trends and advancements in machine learning, and applying this knowledge to improve our systems and processes.
Job Requirements
The requirements for this role are:
Minimum3 to8 years of overall experience in a related field
Experience with machine learning frameworks and tools such as TensorFlow, PyTorch, or Scikit-Learn
Strong foundation in computer science, with a focus on algorithms, data structures, and software design
Experience with programming languages such as Python, Java, or C
Job type: Payroll
Budget: 2,500,000 INR per annum
Role and responsibility:
The roles and responsibilities of the ML Engineer is to -
Design, develop, and deploy machine learning models and algorithms to drive business growth and improvement
Collaborate with cross-functional teams to identify opportunities for machine learning applications and develop solutions to complex problems
Develop and maintain large-scale machine learning systems, including data ingestion, processing, and model deployment
Collaborate with data scientists to develop and implement new models, and work with engineers to integrate models into existing systems
Stay up-to-date with industry trends and advancements in machine learning, and apply this knowledge to improve our systems and processes
LEVEL OF EXPERTISE
Machine Learning - 3 years
ML frameworks - 3 years
Pytorch - 3 years