AI Engineering Specialist

5 days ago

madurai, India beBeeMachineLearning Full time

Job OverviewWe are seeking a talented Software Test Engineer to 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.You will collaborate with engineers, data scientists, and product managers to build, optimize, and scale AI models and systems.As a Software Test Engineer, 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.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.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.Experience with large-scale data pipelines and distributed systems.Familiarity with cloud platforms (AWS, Azure, or GCP).Knowledge of APIs, microservices, and containerization (Docker, Kubernetes).Exposure to MLOps practices and continuous integration/continuous deployment (CI/CD).Strong interest in applied AI and innovation in emerging technologies.This opportunity requires an individual with exceptional technical knowledge, innovative thinking, and excellent collaboration skills. If you have a passion for AI development and implementation, we encourage you to apply.

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