AI Software Development Professional

21 hours ago

Gandhinagar, India beBeeSoftware Full time

AI Software EngineerWe are seeking a skilled AI Software Engineer to join our team and drive the design, development, and deployment of AI-powered solutions. This role is ideal for professionals passionate about artificial intelligence, machine learning, and software engineering who want to make a tangible impact on real-world applications.As an AI Software Engineer, you will collaborate with engineers, data scientists, and product managers to build, optimize, and scale AI models and systems. You will work with cutting-edge tools and frameworks while applying your expertise in algorithms, data processing, and system integration to deliver high-performance AI solutions.Main Responsibilities:Design, develop, test, and deploy AI/ML models and applications.Build data pipelines for preprocessing, cleaning, and transforming large datasets.Train, evaluate, and fine-tune machine learning models for production use.Integrate AI models into applications and production systems.Research and implement new AI frameworks, tools, and methodologies to enhance capabilities.Debug, optimize, and scale algorithms to improve system performance.Collaborate with cross-functional teams (data science, product, engineering) to deliver end-to-end AI solutions.Contribute to technical documentation, code reviews, and best practices.Required Skills and Qualifications:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.Strong programming skills in Python, Java, or C++.Solid understanding of machine learning concepts (classification, regression, NLP, computer vision, deep learning).Hands-on experience with frameworks such as TensorFlow, PyTorch, or scikit-learn.Proficiency in algorithms, data structures, and object-oriented programming.Experience building and deploying AI applications in real-world environments.Strong analytical, problem-solving, and debugging skills.Benefits:Opportunity to work on challenging projects and contribute to innovation in AI.Collaborative and dynamic work environment.Continuous learning and professional growth opportunities.Others:Preferred qualifications include experience with large-scale data pipelines and distributed systems, familiarity with cloud platforms, knowledge of APIs, microservices, and containerization, and exposure to MLOps practices and continuous integration/continuous deployment.],

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