Job Overview

We are seeking a highly experienced Machine Learning Engineer - Level 5 to join our dynamic team in Hyderabad. As a senior-level position, this role requires a deep understanding of machine learning principles and the ability to innovate and implement advanced solutions within our tech platforms. The ideal candidate will leverage their expertise to enhance our AI capabilities and contribute to our commitment to delivering top-notch technology for photographers worldwide.

Qualifications and Skills

• Proven experience in developing and deploying machine learning models using frameworks such as TensorFlow (Mandatory skill) and PyTorch.
• Extensive experience in ML ops (Mandatory skill) for managing scalable machine learning pipelines.
• Proficiency in Python (Mandatory skill) for designing, coding, and optimizing machine learning models.
• Solid understanding of natural language processing (NLP) techniques and their application in real-world scenarios.
• Experience with machine learning concepts, algorithms, and best practices for model accuracy and performance.
• Expertise in developing and maintaining data pipelines for managing large-scale data transformation and integration.
• Familiarity with big data technologies for processing and analyzing complex datasets efficiently.
• Ability to work collaboratively in agile environments, adapting to the dynamic needs of the project and team.

Roles and Responsibilities

• Design and implement robust machine learning models to enhance the AI capabilities of our studio management tool.
• Collaborate with cross-functional teams to integrate machine learning solutions effectively within the existing technology stack.
• Lead the development and optimization of ML ops frameworks to support efficient deployment and scaling of machine learning models.
• Analyze complex datasets and develop data pipelines to support machine learning initiatives and enhance data-driven decision-making.
• Stay updated with the latest trends and advancements in machine learning and artificial intelligence to drive innovation within the company.
• Mentor and guide junior engineers and team members, sharing knowledge and insights to improve team capabilities.
• Ensure the security, quality, and performance of machine learning solutions through rigorous testing and validation processes.
• Actively contribute to the strategic planning of machine learning initiatives to align with company goals and objectives.