We are a US based technology company with an offshore development center providing advantage of working with highly experienced US solutions architects and agilists while reaping the cost benefits of an offshore software development team. As a US based company, we guarantee the protection of all your intellectual property and strictly follow NDAs. We have strict protocols for our data and physical security in our offshore location. You are fully protected by ... US laws.
View Company ProfileMachine Learning Engineer
Apply Before : 2020-02-08 (Closed)
View: 2470
Job summary
-
No. of Vacancy
: 3 -
Job Type
: Full Time -
Offered Salary
: Negotiable -
Gender
: Both -
Career Level
: Mid Level -
Experience
: 2 Years -
Apply Before
: 2020-02-08 Closed
Job Description:
- 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
Required Knowledge, Skills, and Abilities:
- 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)
Education + Experience:
- A bachelor’s degree in Computer Engineering or equivalent
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