Interesting Opportunity Saarthee - Machine Learning Engineer - Deep Learning

Position Summary

The Machine Learning Engineer is tasked with enhancing interactions across user gaming experiences and systems. This involves designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems in a cost-effective manner. We seek individuals capable of creating exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Moreover, you'll have the opportunity to immerse yourself in cutting-edge ML technologies, tools, and processes, contributing to the advancement of our technical objectives and architectural initiatives.

As an ML Engineer, you will be responsible for the design and development of machine learning models and algorithms tailored to a variety of applications. Your tasks will involve not only the implementation but also the optimization of these models. Additionally, you'll collaborate closely with cross-functional teams to seamlessly integrate these machine learning models into production systems. It will be crucial to stay abreast of the latest advancements in machine learning and AI technologies to ensure our solutions remain cuttingedge and effective.

Your Role Responsibilities And Duties
 Develop, implement, and optimize machine learning models for various applications, including predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering.
 Utilize a wide array of state-of-the-art machine learning and deep learning technologies to address diverse machine learning problems such as multilingual text classification, language modelling, and multi-modal learning.
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
 Conduct thorough exploratory data analysis to uncover patterns, trends, and valuable insights.
 Deploy machine learning models into production environments using AWS services and implement scalable and efficient 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 at least one of the advanced machine learning areas including computer graphics, reinforcement learning, recommendation system, and natural language processing.
 Proficiency in the Python programming language and experience with PyTorch, TensorFlow, or similar frameworks.
 Experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated 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 renumerations.
 Additional compensation tied to Renewal and Pilot Project Execution.
 Additional lucrative business development compensation.
 Chance to work closely with industry experts driving strategy with data and analytics.
 Firm building opportunities that offer stage for holistic professional development, growth, and branding.
 Empathetic, excellence and result driven organization. Believes in mentoring and growing a team with constant emphasis on learning

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