Machine Learning Engineer

4 weeks ago


India Techno Wise Full time

Key Responsibilities: 1. Lead Machine Learning Projects : - Take full ownership of machine learning projects from start to finish, including problem definition, data collection, model development, and deployment. 2. Algorithm Development : - Develop and optimize machine learning algorithms using techniques such as deep learning, natural language processing, computer vision, and reinforcement learning. 3. Data Preparation : - Pre-process and transform large datasets to create high-quality training data for model development. 4. Model Evaluation : - Implement testing and validation procedures to ensure the performance, accuracy, and scalability of machine learning models. 5. Deployment and Integration: - Collaborate with cross-functional teams to deploy machine learning models into production environments and integrate them with existing systems. 6. 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 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. Why Join Us ? - Learning & Certification Opportunities to enhance your professional growth. - Comprehensive Medical Coverage and Life Insurance for your well-being. - Flexible Work Environment with a 5-day work week. - Be part of a fun, collaborative, and innovative workplace culture. (ref:hirist.tech)



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