AI-ML Manager

7 days ago

Thāne, India Maximus Infoware Full time

Job Summary:

We are seeking an experienced and highly motivated AI/ML Manager to lead our Artificial Intelligence and Machine Learning initiatives. This role involves managing a team of data scientists, machine learning engineers, and analysts to design, develop, and deploy AI/ML solutions that drive business value. The ideal candidate will have a strong technical background combined with proven leadership and project management skills.

Key Responsibilities:

  • Lead and mentor a team of AI/ML professionals in developing scalable models and algorithms.
  • Collaborate with cross-functional teams (engineering, product, analytics) to integrate AI/ML solutions into products and services.
  • Define and execute AI/ML strategy aligned with organizational goals.
  • Oversee the end-to-end lifecycle of AI/ML projects from research and development to deployment and monitoring.
  • Ensure model quality, performance, fairness, and explainability using best practices.
  • Manage timelines, resources, and priorities to ensure successful delivery of initiatives.
  • Stay current with the latest AI/ML trends, research, tools, and technologies.
  • Present insights and results to technical and non-technical stakeholders.
  • Proficient in programming languages like Python, R, or Java.
  • Experience with MLOps, model deployment, and cloud platforms (e.g., AWS, GCP, Azure).
  • Experience in Banking domain will be preferrable.
  • Experience with Apache Kafka, ignite, Spark, or distributed systems for handling high-volume data pipelines.
  • Strong understanding of GPU infrastructure requirements for training, optimizing, and deploying large-scale AI/ML and deep learning models.
  • Proficiency in containerization and orchestration using Docker (Kubernetes experience is a plus).
  • Hands-on experience with CI/CD pipelines for automating model integration, testing, and deployment in production environments.
    Data Handling: Pandas, NumPy, Dask, Spark MLlib

Required Qualifications:

  • Bachelor of Engineering or Bachelor's /Master's in Computer Science, Data Science, AI/ML, or related field.
  • Excellent communication and interpersonal skills.

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