- W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Job ID:
J36993
Specialized Area:
Machine learning
Job Title:
Machine Learning Engineer
Location:
Newyork,NY
Duration:
9 Months
Domain Exposure:
Retail, Aerospace/ Airlines, Education, IT/Software
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EADClient:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
- Study and transform data science prototypes into productionized systems
- Design and develop machine learning and deep learning systems
- Research and implement appropriate Machine Learning algorithms and tools
- Develop machine learning applications according to requirements
- Select and help design appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Collaborate with other development teams to support the integration and deployment of Machine Learning products and services
- Train and retrain systems when necessary
- Extend existing Machine Learning libraries and frameworks
- Keep abreast of developments in the field
- All other duties as assigned
- BSc in Computer Science, Mathematics or similar field preferred; technical certification or equivalent accepted
- Master’s degree is a plus
- Proven experience as a Machine Learning Engineer or similar role, with 2+ years of full-time experience
- Understanding of all stages of developing machine learning-based systems: labeling data, selecting algorithms, training, model development, visualization, regression, updates and debugging
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics and algorithms
- Ability to write robust code in Python or R, and one or more of Java, C#, C++, or Go
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Familiarity engineering products with big data infrastructure platforms like Hadoop and Spark
- Good communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- Understanding of the challenges surrounding applying machine learning to rich media, including automatic speech recognition (ASR), natural language processing (NLP), object detection and image recognition
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QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract