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About the role
Role Overview : We are looking for a highly skilled Senior AI Engineer to design, develop, and deploy scalable AI/ML solutions. The ideal candidate will have deep expertise in machine learning, deep learning, and productionizing AI models, along with strong software engineering capabilities. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world business problems - Build and optimize machine learning pipelines for training, validation, and inference - Work on deep learning models (NLP, Computer Vision, Recommendation Systems, etc.) - Collaborate with Product, Data Engineering, and Business teams to translate requirements into AI solutions - Deploy models into production using MLOps best practices - Monitor model performance, drift, and continuously improve accuracy - Work with large-scale datasets and ensure data quality and preprocessing - Optimize models for performance, scalability, and latency - Contribute to AI architecture design and technical decision-making - Mentor junior engineers and guide best practices - Stay updated with latest advancements in AI/ML Required Skills & Expertise : - Strong programming skills in Python (NumPy, Pandas, Scikit-learn) - Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras) - Solid understanding of Machine Learning algorithms (supervised, unsupervised, reinforcement learning) - Experience with NLP (Transformers, LLMs) or Computer Vision - Strong knowledge of statistics, probability, and data modeling - Experience in model deployment using APIs, microservices - Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) - Experience with cloud platforms (AWS, Azure, or GCP) - Knowledge of Docker, Kubernetes for model deployment - Strong understanding of data structures and system design Good to Have : - Experience with Large Language Models (LLMs) and GenAI (GPT, BERT, etc.) - Exposure to prompt engineering, fine-tuning, and RAG architectures - Knowledge of vector databases (Pinecone, FAISS, Weaviate) - Experience with real-time streaming systems (Kafka, Spark) - Publications or contributions in AI/ML research Educational Qualification : Bachelors/Masters/PhD in Computer Science, AI, Data Science, or related field (ref:hirist.tech) Role Overview : We are looking for a highly skilled Senior AI Engineer to design, develop, and deploy scalable AI/ML solutions. The ideal candidate will have deep expertise in machine learning, deep learning, and productionizing AI models, along with strong software engineering capabilities. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world business problems - Build and optimize machine learning pipelines for training, validation, and inference - Work on deep learning models (NLP, Computer Vision, Recommendation Systems, etc.) - Collaborate with Product, Data Engineering, and Business teams to translate requirements into AI solutions - Deploy models into production using MLOps best practices - Monitor model performance, drift, and continuously improve accuracy - Work with large-scale datasets and ensure data quality and preprocessing - Optimize models for performance, scalability, and latency - Contribute to AI architecture design and technical decision-making - Mentor junior engineers and guide best practices - Stay updated with latest advancements in AI/ML Required Skills & Expertise : - Strong programming skills in Python (NumPy, Pandas, Scikit-learn) - Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras) - Solid understanding of Machine Learning algorithms (supervised, unsupervised, reinforcement learning) - Experience with NLP (Transformers, LLMs) or Computer Vision - Strong knowledge of statistics, probability, and data modeling - Experience in model deployment using APIs, microservices - Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) - Experience with cloud platforms (AWS, Azure, or GCP) - Knowledge of Docker, Kubernetes for model deployment - Strong understanding of data structures and system design Good to Have : - Experience with Large Language Models (LLMs) and GenAI (GPT, BERT, etc.) - Exposure to prompt engineering, fine-tuning, and RAG architectures - Knowledge of vector databases (Pinecone, FAISS, Weaviate) - Experience with real-time streaming systems (Kafka, Spark) - Publications or contributions in AI/ML research Educational Qualification : Bachelors/Masters/PhD in Computer Science, AI, Data Science, or related field (ref:hirist.tech)