HackTech LLC
ML Engineer
Yerevan February 27
Job description
729 views
Full-time
Part-time
Hybrid
Middle
We are looking for a Mid/Senior ML Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities will include creating machine learning models and retraining systems, applying algorithms to generate accurate predictions, and resolving data set problems.
Requirements
- BA or higher degree in Data Science, Mathematics/Applied Mathematics, or another relevant field
- Experience in Machine Learning and infrastructure, preferably Natural Language Processing
- At least 3+ experience in Python and frameworks such as Flask, FastAPI
- At least 2+ experience with ML frameworks such as TensorFlow and/or PyTorch
- Strong analytical skills
- High attention to detail
- Ability to work with large, complex datasets
- Good communication skills in English.
Responsibilities
- Work with various teams to strategize processes and design plans for the implementation of ML techniques
- Deliver state-of-the-art Machine Learning solutions to a product team and transfer the knowledge and ability necessary to maintain the solution
- Build and deploy Machine Learning pipelines capable of handling high volume and focused on Natural Language Processing
- Manage the infrastructure and data pipelines needed to bring code to production
- Work independently as well as in small teams.
Specialty
Machine Learning
Required skills
NLP
Machine Learning
Machine learning algorithms
TensorFlow
Preferred skills
Detail-oriented
Analytical skills
Team player
Mentorship
Hardworking
Communication Skills
Benefits
Annual Salary Review
Medical Insurance
Days off
Staff Referral Program
Free Language Courses
Team Building And Corporate Events
Flexible Working Schedule
Free Parking
Special Day-offs
Complimentary Tea, Coffee And Refreshments
Not sure if you should apply?
Many people don't apply because they're not 100% qualified, If you match at least 60% of the requirements, we encourage you to apply. 🙌
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HackTech LLC
Software & IT Services
We are a product and engineering partner for supporting our clients on their digital transformation journey.
Size
51-200
