Qureos Mentor

Maximus Infoware

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

AI-ML Manager

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Maximus Infoware

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AI-ML Manager