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Job Description
Structured overview of role & requirementsAbout This Role
Implement and maintain complex AI/ML solutions and data infrastructure for clients, ensuring data quality and operational fit.
Collaborate cross-functionally with stakeholders including business, data scientists, and engineers to analyze data and provide actionable insights and dashboards.
Drive adoption of new technologies to improve machine learning system performance, reliability, and maintainability.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Information Technology or related field (B.Tech, MCA, MS Computers).
5+ years of professional experience in AI/ML implementation, data and software development.
Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn.
Experience with cloud platforms (AWS, Microsoft Azure) and DevOps tools like Docker, Databricks.
Ideal Candidate Profile
Experienced in end-to-end AI/ML operations including data wrangling, integration, ETL, NLP libraries, and LLMs.
Strong hands-on expertise with advanced ML algorithms, deep learning frameworks, and API integrations in cloud environments.
Skilled at working collaboratively with interdisciplinary teams to translate business questions into technical implementations and communicate findings clearly.