Machine Learning Engineer

Description:

InfoTmT is building a highly innovative automation platform. Leveraging machine learning models that analyzes patterns and assists human intelligence to increase speed and productivity. Our engineers are working on a huge array of projects, constantly learning and incorporating new technologies into the stacks. We are looking for a self-driven, highly motivated and result in the oriented engineer to join the team.

Job Descriptions:

• Research and develop machine learning models and work on the whole ML pipeline: data collection, wrangling, pre-processing, model building, evaluation, and deployment
• Be responsible for driving the design and development lifecycle
• Deploy and help manage the data pipelines and infrastructure on cloud platforms needed to make AI work in production
• Debug and analyze ML system performance in Production
• Prepare and present results and analysis to stakeholders when necessary
• Create APIs and help business customers put results of your AI models into operations
• Provide proper guidance and supervision of subordinate engineers and their work
• Must be self-motivated, flexible, collaborative, with an eagerness to learn
• Regular, reliable attendance is a requirement for this job
• Be responsible for the design-related and algorithmic innovations

Requirements:

• A bachelor’s degree in Computer Engineering or equivalent
• Ability to work on ML services on the cloud: AWS, GCP, etc
• Experience in predictive modelling and predictive software development
• Skilled in Java, C++, Perl/Python (or similar scripting language)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills
• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Benefits:

• Provident Fund
• Dashain Bonus, Performance Bonus, Referral Bonus
• 13 Days Govt Holidays
• 5 Working Days per Week
• Regular salary revision based on performance
• Frequent team building activities

Direct Apply: Click Here

(Direct Apply for immediate consideration)