Only USC/ GC Hybrid : AI/ML Engineer in Boston, MA at Boston, Massachusetts, USA |
Email: [email protected] |
Share Resume to [email protected] 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.com/in/jayant-singh-171072103 Edison, New Jersey, tek-staffing.com Disclaimer: If you wish not to receive the email in -- 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 |