Machine Learning Engineer for AI Solutions

1 week ago


Noida, Uttar Pradesh, India Techoon Software Solutions Full time

About Techoon Software Solutions

We are a software development company that aims to provide innovative solutions using cutting-edge technologies. We are looking for a skilled Machine Learning Engineer to join our team and contribute to the development of AI-powered products.

Salary Estimate:

$150,000 - $200,000 per year

Job Description:

The Machine Learning Engineer will be responsible for designing, implementing, and optimizing machine learning models for various business use cases. This includes performing data cleaning, preprocessing, and feature engineering to ensure high-quality input for ML models.

Main Responsibilities:

  1. Design and implement machine learning models for business use cases
  2. Perform data preprocessing and feature engineering
  3. Deploy and maintain machine learning models in production environments
  4. Collaborate with data scientists, software engineers, and product managers to deliver AI solutions
  5. Stay up-to-date with the latest advancements in machine learning and deep learning
  6. Document code and model performance, and provide regular reports on project progress

Required Skills:

  • Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
  • Knowledge of natural language processing techniques and libraries (e.g., NLTK)
  • Familiarity with data preprocessing and data cleaning techniques
  • Ability to develop and deploy machine learning models
  • Strong problem-solving and analytical skills
  • Basic understanding of deep learning concepts
  • Experience with version control systems (e.g., Git)
  • Strong written and verbal communication skills

Good-to-Have Skills:

  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
  • Experience with RESTful APIs and microservices architecture
  • Knowledge of big data technologies (e.g., Hadoop, Spark)
  • Understanding of software development best practices


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