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ML Engineer I

ML Engineer I

UST

3 - 7 years

0 Lacs

thiruvananthapuram kerala

Posted:19 hours ago| Platform: Shine logo

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Skills Required

machine learning deep learning python software development tensorflow pytorch data preprocessing model deployment mlops cloud ai services problemsolving

Work Mode

On-site

Job Type

Full Time

Job Description

As an AI Engineer at our company, you will play a crucial role in developing and deploying innovative AI solutions. You will collaborate with AI Architects, Data Scientists, and delivery teams to bring cutting-edge AI concepts to life. Your responsibilities will include: - Designing, developing, and implementing machine learning models and AI algorithms. - Working with large and complex datasets for data cleaning, feature engineering, and data pipeline development. - Integrating AI models into existing enterprise systems and applications, ensuring seamless functionality. - Optimizing AI models for performance, scalability, and efficiency and monitoring their effectiveness. - Collaborating effectively with cross-functional teams to understand requirements and deliver impactful AI solutions. - Writing clean, maintainable, and well-documented code adhering to best practices for software development. - Staying updated with the latest advancements in AI/ML research and technologies for potential business application. - Providing technical support and troubleshooting for deployed AI systems. Key Requirements: - 3-7 years of experience in developing and deploying AI/ML solutions. - Strong programming skills in Python with extensive experience in AI/ML frameworks like TensorFlow, PyTorch, scikit-learn. - Solid understanding of machine learning algorithms, deep learning concepts, and statistical modeling. - Experience with data manipulation and analysis libraries like Pandas, NumPy. - Familiarity with cloud platforms like AWS, Azure, GCP and version control systems like Git. - Excellent problem-solving skills, attention to detail, communication, and teamwork abilities. - Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field. Good To Have: - Experience with MLOps practices and tools like MLflow, Kubeflow. - Familiarity with containerization technologies like Docker, Kubernetes. - Experience with big data technologies like Spark, Hadoop. - Prior experience in an IT services or product development environment. - Knowledge of specific AI domains such as NLP, computer vision, or time series analysis. Additional Company Details: None provided in the job description.,

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ML Engineer I