Senior AI & Machine learning Engineer
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Job Details
Skills And Tools:
Job Description
We are a cutting-edge technology company looking for a talented and experienced Senior Machine Learning and NLP Engineer to join our team. As a Senior Machine Learning and NLP Engineer, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models and NLP algorithms to solve complex business problems.
Responsibilities:
• Research and apply the latest machine learning and NLP techniques to solve business problems
• Experiment with new technologies and create proof of concepts to guide design and architecture choices
• Design and implement machine learning and NLP models to solve complex business problems
• Being responsible for evaluating and producing robust and innovative machine learning models
• Work with large and complex data sets to extract insights and build predictive models
• Collaborate with cross-functional teams to identify business problems and develop solutions
• Work together with our engineering team to deploy and enhance the models at scale.
• Develop and optimize machine learning algorithms and models for performance and scalability
• Build and maintain data pipelines for data preprocessing and model training
• Communicate technical concepts and solutions to non-technical stakeholders
We offer competitive compensation packages, comprehensive benefits, and a challenging and dynamic work environment. If you are passionate about machine learning and NLP and want to be part of a talented and growing team, we want to hear from you
Job Requirements
Requirements:
• Master's or PhD degree in Computer Science, Mathematics, Statistics, or a related field
• At least 5 years of experience in designing and implementing machine learning and NLP models
• Strong understanding of machine learning algorithms, techniques, and frameworks such as TensorFlow, PyTorch, and scikit-learn
• You are a confident Python developer and have strong skills into application best practices (code modularity, unit tests, documentation, etc.)
• You are fluent in ML libraries like NumPy, Pandas, SciPy, Scikit-Learn and Pytorch
• You have strong experience in packaging and delivering ML models in production
• Familiarity with NLP techniques such as text classification, named entity recognition, and sentiment analysis
• Experience with big data technologies such as Hadoop, Spark, and SQL
• You are proficient in Docker and advanced experience with DevOps tools
• Strong problem-solving and analytical skills
• Excellent written and verbal communication skills
• Ability to work independently and in a team environment
• Strong leadership and mentoring skills
