Phenom is hiring for Software Engineer
The job you are looking for is no longer available..- Company Name
- Phenom
- Company Website
- http://phenom.com/
- Experience
- 2 years
- Job Role
- Product Development Engineer
- Job Type
-
- Experienced
- Job Location
-
- Hyderabad
- Education
-
- BE/BTech
- Branch
-
- IT
- CS
- Job will expire on
- 25 Jun 2024
Eligibility Criteria
- 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.
Job Description
- 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.
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