Interesting Opportunity Saarthee - Machine Learning Engineer - Deep Learning

The Machine Learning Engineer role focuses on enhancing interactions across user gaming experiences and systems by designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems efficiently. You will have the opportunity to create exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Immersion in cutting-edge ML technologies, tools, and processes is a key aspect, contributing to the advancement of technical objectives and architectural initiatives. As an ML Engineer, your responsibilities include designing and developing machine learning models and algorithms tailored to various applications. Implementation and optimization of these models are crucial tasks, alongside collaborating with cross-functional teams to integrate the models into production systems effectively. Staying updated with the latest advancements in machine learning and AI technologies is essential to ensure solutions remain cutting-edge and effective. Your tasks will involve: - Developing, implementing, and optimizing machine learning models for applications such as predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering. - Utilizing state-of-the-art machine learning and deep learning technologies for multilingual text classification, language modeling, and multi-modal learning. - Collaborating with cross-functional teams to understand business requirements and translate them into analytical solutions. - Conducting thorough exploratory data analysis to uncover patterns, trends, and valuable insights. - Deploying machine learning models into production environments using AWS services and implementing scalable solutions for real-time and batch predictions. Required Skills and Qualifications: - Bachelor's degree in computer science, Engineering, Statistics, or a related field. - 5+ years of working experience in advanced machine learning areas like computer graphics, reinforcement learning, recommendation systems, and natural language processing. - Proficiency in Python programming and experience with PyTorch, TensorFlow, or similar frameworks. - Experience in designing and implementing machine learning-based solutions, including online safety, conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. - Strong machine learning, statistical, and analytical skills. What We Offer: - Bootstrapped and financially stable with high pre-money evaluation. - Above industry remunerations. - Additional compensation tied to Renewal and Pilot Project Execution. - Additional lucrative business development compensation. - Opportunity to work closely with industry experts driving strategy with data and analytics. - Firm building opportunities for holistic professional development, growth, and branding. - Empathetic, excellence, and result-driven organization that believes in mentoring and growing a team with a constant emphasis on learning.,