Job Role: Machine Learning Engineer

Eligibility: Graduate

Experience: 2 Years

Job Location: Hyderabad

Company Profile:

Our purpose is to help a billion people find the right work! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal!

Responsibilities:

• Design, develop, and implement machine learning algorithms and models to improve our products and services
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Conduct research and stay updated with the latest advancements in machine learning to continuously improve our products
• Analyze and interpret large datasets to identify patterns and insights that can be used to enhance our products
• Develop and maintain machine learning pipelines and workflows
• Work closely with product managers, designers, and other engineers to ensure timely and high-quality delivery of features and enhancements
• Participate in code reviews and provide constructive feedback to improve code quality and maintainability
• Troubleshoot and resolve technical issues related to machine learning models and algorithms
• Document and communicate technical solutions and processes to team members and stakeholders.

Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Minimum of 2 years of experience in developing and implementing machine learning algorithms and models
• Strong understanding of machine learning concepts and techniques such as supervised and unsupervised learning, deep learning, and natural language processing
• Proficiency in programming languages such as Python, Java, or C++
• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
• Knowledge of data processing and analysis tools such as SQL, Spark, or Hadoop
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills
• Ability to work in a fast-paced and dynamic environment.

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