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Urgent! Artificial Intelligence Resource Job Opening In Noida – Now Hiring Top IT Product Company

Artificial Intelligence Resource



Job description

About the company: A Top IT Product Company
Requirements:
Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field from premier engineering institutes of global ranking.

Should have minimum 10-20 years of experience in architecture, design and development of highly scalable software products & applications.
 Proven experience in managing AI projects and leading technical teams.
 In-depth knowledge of AI, machine learning, and deep learning techniques.
 Strong understanding of data science concepts and methodologies.
 Experience in BFSI projects as Product Areas Include (i) Trade Finance (ii)Retail Lending (iii) Account Opening (iv) SME Lending (v) Capital & Wealth Management
 Excellent communication and leadership skills.
Ability to manage multiple projects simultaneously and meet deadlines.
 Demonstrated ability to continuously learn new technologies and quickly evaluate their technical and commercial viability
 Demonstrating thought leader-level abilities in commonly used data science packages including Spark, Pandas, SciPy, and Numpy
 Leveraging familiarity with deep learning architectures used for text analysis, computer vision and signal processing.
End to end ML work and deploying of models
 Knowledge of how full stack SaaS products work, scale and perform
Responsibilities:
 Lead and manage the AI research and development team.
 Develop and implement AI strategies that support business objectives.
 Oversee the design, development, and deployment of AI models and algorithms.
 Collaborate with cross-functional teams to integrate AI solutions into products.
 Monitor and analyze AI trends to ensure the company remains at the forefront of technology.

 Ensure scalability and efficiency in AI model deployment.
 Mentor team members and foster a collaborative working environment.
 Understanding statistical or numerical methods application, data-driven problem solving
 Demonstrating thought leader level abilities in the use of statistical modelling and machine learning techniques
 Modeling and Analyzing complex, high-volume, high-dimensionality data from varying sources.

 Well versed with Supervised and Unsupervised ML Techniques
 Exposure to Agentic AI
 Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization
 Architect a full ML Platform and build out the infrastructure to support scalability
 Provide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering
 Collaborate with stakeholders and project managers to turn business goals into technical solutions
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