Project Manager, AI Engineer, Machine Learning​/ ML Engineer

Role

AWS solution architect

Location

FRANKLIN, MA

Customer Name

Nissan North America, Inc.

Project Type(T&M/FP/True FP)

FP

Salary

XXXX
40K

Any Visa Restrictions USC/GC/H1B

USC/GC Only

Mode Of Hiring FTE/Subcon

FTE

Remote (Y/N) Till COVID 19 restrictions

Onsite from day 1

Mandate Skills

Cloud solutions architect

Years Of Experience

12 to 14 Yrs

Detailed JD

PFB

Details JD:

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions
- 1+ years of experience with one or more Deep Learning frameworks such as Tensor Flow and PyTorch.
- 3+ years' experience with developing Machine learning solutions and architectures for Natural language processing domain.
- 5+ years professional experience in software development in languages related to ML like Python or R.
- Experience working with RESTful API and general service-oriented architectures.
- 3+ years of experience in technical architecture, design, deployment and operations for AI platforms, standards, protocols and devices

-5+ years of industry experience in predictive modeling and analysis
- Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships
- Consulting experience and track record of helping customers with their AI needs
- Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences •

- Experience with AWS technologies like Sage Maker, Redshift, S3, EC2, Data Pipeline, Kinesis & EMR
- Knowledge of Apache Spark
- Able to write production level code, which is well-written and explainable
- Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
- Experience working with GPUs to develop models
- Experience handling terabyte size datasets
- Track record of diving into data to discover hidden patterns
- Familiarity with using data visualization tools
• Knowledge and experience of writing and tuning SQL