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Only USC/ GC Hybrid : AI/ML Engineer in Boston, MA at Boston, Massachusetts, USA
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Need USC, GC Only with Radar Data Experience

Role : AI/ML Engineer

Location : Hybrid role Boston,
MA

6 months contract

Visa: USC/GC

Job
Description:

Our
client is specifically looking for candidates with experience in handling and
analysing 
radar data, which
is quite different from the structured data. Radar data typically consists of
time-series signals that capture the reflection of radio waves off objects.
This type of data is often unstructured, noisy, and requires specialized
techniques for pre-processing, feature extraction, and analysis

Responsibilities:

Setting the overall
strategy and vision for the machine learning and data science initiatives in
the company. Provide strategic guidance and mentorship to the data science and
engineering teams.

Hiring, training, and
developing team members to foster a culture of innovation and excellence.

Collaborating with
other department heads, such as product management, engineering, and healthcare
experts, to align machine learning initiatives with company-wide goals.

Building strong
relationships with stakeholders and effectively communicating the value and
impact of the team s work.

Managing the budget
and resources for the machine learning and data science function. Making
strategic decisions on investments in tools, technologies, and talent to
support the team s objectives.

Staying at the
forefront of advancements in machine learning and healthcare AI, and actively
contributing to the broader scientific community through publications,
conferences, or industry events.

Representing the
company as a thought leader and building strategic partnerships with academic
institutions, research organizations, or industry partners.

Developing and
optimizing complex machine learning models, such as CNNs, LSTMs, and
transformers, to tackle challenging problems and enhance system performance and
scalability.

Designing and
implementing machine learning models for data analysis, feature extraction, and
classification tasks.

Ensuring real-time
performance and resource efficiency by implementing and validating algorithms
on embedded systems.

Working closely with
hardware engineers to optimize machine learning models for specific hardware
architectures and assisting in system integration.

Conducting performance
evaluations and simulations to validate model performance and identify areas for
improvement.

Collaborating with
software engineers to integrate machine learning models into software
frameworks.

Education and Experience

A Master s or PhD
degree in Artificial Intelligence, Mathematics, Statistics, Physics, Electrical
Engineering, Computer Engineering, or a related field, or equivalent work
experience.

Must have experience
in handling and analyzing radar data

10+ years of relevant
experience in machine learning and data science, with healthcare AI a plus.

Proven track record of
leading and scaling high-performing data science and machine learning teams and
successfully delivering complex, impactful projects.

Real-world work
experience in relevant roles in a commercial setting.

Ideally, full life
cycle experience with a consumer or patient product that has shipped and
achieved meaningful commercial success. Preference for candidates with
experience in a startup or fast-paced environment, as well as exposure to
ambient sensing and sensor fusion technologies.

Thanks & Regards

Jayant singh | TekNavigators
Staffing

Sr. Technical Recruiter

Office
 :  : 
[email protected]

Linkedin
 : 
linkedin.com/in/jayant-singh-171072103

Edison, New Jersey, 
tek-staffing.com

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Keywords: artificial intelligence machine learning information technology green card Massachusetts
Only USC/ GC Hybrid : AI/ML Engineer in Boston, MA
[email protected]
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Tue Jul 23 21:10:00 UTC 2024

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