Machine Learning Engineer
1 day ago
We are a cutting-edge Cognitive Customer Engagement Cloud platform that amplifies customer experience on Text, Voice & Video leveraging proprietary and advanced Whitebox NLU Engine.
Job SummaryYou will work with our Core Algorithms team to apply neural networks and advanced machine learning algorithms to enhance the natural language understanding and processing capabilities of our platform.
Key Responsibilities:- Lead Machine Learning Projects: Take full ownership of machine learning projects from start to finish, including problem definition, data collection, model development, and deployment.
- Algorithm Development: Develop and optimize machine learning algorithms using techniques such as deep learning, natural language processing, computer vision, and reinforcement learning.
- Data Preparation: Pre-process and transform large datasets to create high-quality training data for model development.
- Model Evaluation: Implement testing and validation procedures to ensure the performance, accuracy, and scalability of machine learning models.
- Deployment and Integration: Collaborate with cross-functional teams to deploy machine learning models into production environments and integrate them with existing systems.
- 4-8 years' experience in Python, deep learning, NLU.
- In-depth understanding of state-of-the-art deep learning algorithms and workflows.
- Strong background in algorithm development for mining patterns from large scale data.
- Delivering optimized production ready NLU solutions.
- Strong expertise in training and deploying scalable domain agnostic customized NLU solutions in multilingual scenarios.
- Strong ability to leverage complex technologies to solve real-world problems and consumer use cases.
- Good communication skills.
- Experience in Python, APIs Development using python framework.
- B.Tech or M.or Phd in Computer Science, preferably with strong coursework in Artificial Intelligence.
This position comes with an estimated annual salary of $120,000-$180,000 based on industry standards and location. Additionally, you'll have the opportunity to work with some of the best AI and Machine Learning Engineers and Data Scientists in the industry.
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