Artificial Intelligence Engineer

2 weeks ago


Kochi, India Litmus7 Full time
Minimum 3 years of experience in machine learning engineering and AI developmentDeep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc.Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc.Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc.Hands-on experience developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.)Good to have experience in MLOps and ML model deployment pipelines.Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc.Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deploymentExperience with data processing, feature engineering, and model training on large datasets.Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation would be an added advantageUnderstanding of software engineering best practices and applying them to ML systems.Experience with an agile development environment.Strong problem-solving, analytical, and communication abilitiesBachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields

Responsibilities:

Design, develop and optimize machine learning models for applications across different domains.Build natural language processing pipelines for tasks like text generation, summarization, translation, etc.Develop and deploy cutting-edge generative AI models for applications like conversational AI, text/image synthesis, etc.Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance.Integrate machine learning capabilities into existing products or build new AI-powered applications.Perform data mining, cleaning, preparation, and augmentation for training robust ML models.Ensure model performance, scalability, reliability.Continuously research and implement state-of-the-art AI/ML algorithms and techniques.



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