Machine Learning Engineer

2 weeks ago


MumbaiPuneBangalore, India Techno Wise Full time
Job Title: Machine Learning Engineer

We are seeking a highly skilled and experienced Machine Learning Engineer to join our team at Techno Wise. As a key member of our AI and ML team, you will be responsible for designing, developing, and deploying machine learning models that drive business growth and innovation.

Key Responsibilities:
  • Lead Machine Learning Projects: Take 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.
  • Collaboration with DevOps Team: Work closely with the DevOps team, having a basic understanding of version control systems (Git), CI/CD pipelines, and tools like Terraform.
Required Skills:
  • Python DS, DE, ETL: Minimum of 2 years of hands-on experience.
  • Advanced Python: Proven hands-on experience in advanced Python coding and libraries.
  • Machine Learning: Experience in developing machine learning models and deploying them in production.
  • ML Framework: Familiarity with tools like Scikit-learn, TensorFlow, or PyTorch.
  • Azure Cloud: Strong experience working on Azure cloud services and tools.
  • Databricks: Experience with Databricks for big data processing and machine learning pipelines.
  • DevOps Knowledge: Basic understanding of DevOps practices, CI/CD pipelines, and version control.
  • Deep Learning: Understanding of deep learning principles and techniques.
  • NLP & Computer Vision: Basic understanding of Natural Language Processing (NLP) and Computer Vision.
  • Python for Image Processing: Experience or understanding of image processing libraries like OpenCV.


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