Machine Learning Engineer

5 days ago


Bengaluru, Karnataka, India TALENT XO Full time

Role & Responsibilities : About the Role : We are seeking a skilled and motivated Machine Learning Engineer to join our innovative Apra Labs team. The ideal candidate will have hands-on experience developing and deploying machine learning models, working with video/image datasets, and leveraging cloud technologies to build scalable AI solutions. This role involves collaborating with cross-functional teams, designing data pipelines, and driving data-driven decision-making processes. Responsibilities : - Develop, train, and deploy machine learning models for various applications such as detection/classification, clustering, and recommendation systems. - Design and implement scalable data pipelines and ETL processes to preprocess and analyze video/image datasets. - Work closely with data scientists, software engineers, and business teams to understand requirements and deliver end-to-end AI solutions. - Optimize model performance and ensure robustness through hyperparameter tuning, feature engineering, and evaluation. - Deploy models into production environments using cloud platforms like AWS, Azure, or Google Cloud. - Implement and maintain model monitoring systems to track performance and ensure reliability. - Stay updated with the latest advancements in machine learning, deep learning, and AI technologies. - Contribute to code reviews, best practices, and continuous improvement processes within the team. Ideal Candidate : - Demonstrable skills in owning Machine Learning projects in the past. - Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas. - Hands-on experience of YOLO/ImageNet/Bytetrack or similar models. - Strong understanding of statistical concepts, data analysis, and data visualization. - Experience with cloud platforms like AWS, Azure, or Google Cloud for model deployment and data storage. - Familiarity with containerization and orchestration tools such as Docker and Kubernetes. - Working knowledge of SQL and NoSQL databases. - Basic knowledge of REST/GRPC and serving Machine Learning models. - Experience with Flask/Django is a plus. - Experience with OOP & C++ is a plus. - Good understanding of version control systems like git. - Excellent problem-solving skills and the ability to work in an Agile development environment. Preferred Qualifications : - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. - 3 years of experience in machine learning and AI projects. - Experience with computer vision and deep learning frameworks. - Strong communication and collaboration skills. (ref:hirist.tech)



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