Machine Learning Engineer

Role Overview: As a Machine Learning Engineer with expertise in Azure Databricks, you will play a crucial role in leading machine learning projects, developing algorithms, optimizing model performance, and deploying models in production environments. Collaboration with cross-functional teams and a basic understanding of DevOps practices are essential for success in this role. Key Responsibilities: - Lead machine learning projects and drive the development of algorithms - Prepare and transform datasets for model training and evaluation - Evaluate model performance and optimize algorithms for better results - Deploy machine learning models in production environments - Collaborate with cross-functional teams to ensure project success - Demonstrate a basic understanding of DevOps practices in the machine learning workflow Qualifications Required: - At least 3 years of relevant experience in Python, data science, ETL, and machine learning - Proficiency in advanced Python coding and familiarity with ML frameworks like Scikit-learn or TensorFlow - Hands-on experience with Azure Cloud services and Databricks - Familiarity with deep learning, NLP, computer vision, and Python for image processing - Basic knowledge of DevOps practices in the context of machine learning projects Additional Company Details: Joining our team offers you opportunities for learning and certification, comprehensive medical coverage, a flexible work environment, and a fun, collaborative, and innovative workplace culture. We are dedicated to supporting your professional growth and well-being, providing a dynamic environment for you to thrive in the field of AI and ML.,