Machine Learning Engineer
5 days ago
As a Machine Learning Engineer at Techno Wise, you will lead machine learning projects from start to finish, including problem definition, data collection, model development, and deployment. Your expertise in developing and optimizing machine learning algorithms will be crucial in driving business growth.
Algorithm Development:
Develop and optimize machine learning algorithms using techniques such as deep learning, natural language processing, computer vision, and reinforcement learning. Your understanding of machine learning principles and techniques will enable you to create high-quality models that meet business requirements.
Data Preparation:
Pre-process and transform large datasets to create high-quality training data for model development. Your attention to detail and analytical skills will ensure that data is accurate and reliable.
Model Evaluation:
Implement testing and validation procedures to ensure the performance, accuracy, and scalability of machine learning models. Your ability to analyze data and identify areas for improvement will be essential in ensuring model quality.
Deployment and Integration:
Collaborate with cross-functional teams to deploy machine learning models into production environments and integrate them with existing systems. Your understanding of DevOps practices and CI/CD pipelines will enable you to deploy models efficiently and effectively.
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 Frameworks: 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.
Preferred Skills:
- Agile Methodology: Familiarity with Agile frameworks and practices.
- Experience working in a collaborative, team-based environment with cross-functional teams.
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