5+ years of experience in data science or a related field., 3+ years of experience in formulating AI solutions for business problems., Proficiency in scripting languages like Java, Python, R, or SQL., Experience with machine learning frameworks and cloud environments..
Key responsibilities:
Develop and deploy machine learning models in cloud environments.
Build fraud detection systems using advanced machine learning techniques.
Communicate analysis results clearly and effectively to stakeholders.
Drive projects from initiation to completion with minimal guidance.
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We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services. Established in 2002 and headquartered out of Princeton-NJ, our 2000+ associates’ strength globally helps clients with talent across Technology, Healthcare, Life Sciences, Aerospace, Automotive, Energy, Pharmaceuticals, Retail, Telecom, Manufacturing and Engineering domains. Our presence in USA, Canada & India helps us support clients in IT, Non-IT, Healthcare, Hospital and Clinical hiring, across the globe.
5+ years of experience in data science or a related field.
3+ years of experience in understanding business problems and formulating AI solutions.
3+ years of experience in one of the scripting languages, such as Java, Python, R, or SQL.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
Experience developing and deploying models in one of the cloud environments, such as AWS, Azure, or GCP.
Strong expertise in statistical analysis and feature engineering techniques.
Proven experience in building fraud detection systems using advanced machine learning models.
Hands-on experience using co-pilot assistants (e.g., GitHub Copilot, OpenAI tools) to accelerate feature delivery and streamline development workflows.
Ability to initiate and drive projects from start to completion with minimal guidance.
Ability to communicate the results of analysis in a clear and effective manner.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.