Artificial Intelligence Engineer

3 weeks ago

Noida, India MMNOVATECH LTD Full time

We are looking for a talented AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative AI solutions that solve complex problems. As an AI Developer, you will work closely with cross-functional teams to design, implement, and deploy AI models and algorithms that enhance our products and services.  Key Responsibilities:   AI Model Development:  Design, develop, and deploy AI models and algorithms, including machine learning, deep learning, and natural language processing (NLP) models.  Data Processing:  Collect, clean, and preprocess data for training and testing AI models.  Algorithm Optimization:  Optimize and fine-tune models for performance, accuracy, and scalability.  Integration:  Integrate AI solutions into existing systems and applications.  Research:  Stay up-to-date with the latest AI research and technologies, and apply them to solve real-world problems.  Collaboration:  Work with data scientists, engineers, product managers, and other stakeholders to understand requirements and deliver AI solutions that meet business needs.  Documentation:  Document the AI models, processes, and methodologies used in the development lifecycle.  Testing and Validation:  Implement and conduct rigorous testing and validation of AI models to ensure their robustness and reliability.  Maintenance:  Monitor and maintain deployed AI models, ensuring they continue to perform as expected over time.  Required Skills and Qualifications:   Education:  Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.  Experience:  Proven experience in developing and deploying AI models and algorithms.  Programming:  Proficiency in programming languages such as Python, R, Java, or C++.  Libraries and Frameworks:  Experience with AI/ML libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, and others.  Data Handling:  Strong understanding of data structures, data modeling, and data processing techniques.  Mathematics:  Solid foundation in mathematics, including statistics, linear algebra, and calculus.  Problem-Solving:  Excellent analytical and problem-solving skills, with the ability to think critically and creatively.  Communication:  Strong written and verbal communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.  Teamwork:  Ability to work effectively in a collaborative team environment.  Preferred Skills and Qualifications:   Experience with Cloud Platforms:  Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI models.  Big Data Technologies:  Experience with big data technologies such as Hadoop, Spark, or Apache Flink.  NLP and Computer Vision:  Experience in developing NLP and computer vision applications.  Version Control:  Proficiency with version control systems like Git.  DevOps:  Understanding of DevOps practices for continuous integration and deployment (CI/CD) of AI models.  Industry Knowledge:  Experience in applying AI in specific industries such as healthcare, finance, retail, or manufacturing. 

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