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Director, Machine Learning Engineering

Director, Machine Learning Engineering

Mastercard

11 - 16 years

30 - 35 Lacs

pune

Posted:None| Platform:

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Skills Required

python sql java predictive modeling machine learning algorithms statistical techniques microsoft azure power bi machine learning artificial intelligence deep learning tensorflow tableau gcp pytorch aws cloud computing advanced statistical

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are currently looking for a Director, Machine Learning Engineering for Operational Insights Program, within B&MI group. This role will work with internal and external partners to execute on AI/ML strategy for the program that enables business growth, enhances customer experience, and ensures the delivery of secure, scalable, and high-performing software solutions. As a key technology leader, this role will also focus on engineering best practices, next gen innovation and vendor management, while fostering a culture of continuous improvement and accountability.
Roles and Responsibilities:This position provides leadership to large, diverse, technology teams building innovative technical solutions to cater to internal and external customer requirements. Major accountabilities include:Develop and execute on strategic vision for machine learning projects and initiatives. Possess hands-on technical capabilities to track, analyse or resolve critical issues and customer queries. Oversee design, development, and deployment of machine learning models and systems. Be a major contributor to technical discussions and provide valuable insight and guidance on technology approach and processes.Stay abreast of the latest advancements in machine learning and AI technologies. Research on current and upcoming technologies and application frameworks and provide recommendations. Proactively create and maintain solution and technology roadmaps. Work closely with business partners on product definition, product roadmaps, business case development, and overall direction.Source, evaluate, and manage appropriate vendors on the build and run of products in line with the full scope of program objectivesDrive scalability, security, and performance across all software solutions and platforms. Ensure product compliance to regulatory and industry standards.Drive next gen technology innovation to enhance product value proposition and improve customer experience. Foster a culture of day-to-day innovation within the team.Manage operational and business concerns relative to future business programs, projects, or enhancements to ensure consistent delivery of quality servicesLead, manage and mentor global team members, ensuring development of robust, high-quality, and scalable software, while creating an inspiring, exciting and performance-driven work environment for the team.Foster a culture of collaboration, accountability, innovation, and continuous learning.Attract, hire, and develop world-class engineering talent and be accountable for their performance and growthAll About You:Masters/bachelors degree in computer science or engineering, and a considerable work experience with a proven track-record of successfully leading and managing complex projects/products and delivering to aggressive market needs. Engineering experience that demonstrates successful track record of enabling business through smart solutioning, technical innovation and delivery excellence. Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems. Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks. Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar. Strong programming skills in languages such as Java/Python/SQL is a must. Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus.Responsible AI knowledge: Awareness of the principles and practices surrounding responsible AI, including fairness, transparency, accountability, and ethics in AI deployments.Proven track-record of leading and managing large and diverse global teams (including vendor partners), and of building highly motivated, engaged and innovative teamsSound, clear and crisp verbal communication, with ability to effectively engage with internal and external stakeholders at all management levels, coupled with excellent negotiation skills.High-energy, detail-oriented and proactive, with ability to function under pressure in an independent environment, along with a high degree of initiative and self-motivation to drive results.

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Director, Machine Learning Engineering