Artificial Intelligence Specialist

Job Description We are seeking a skilled Ai Ml Engineer | Bangalore having 3 yrs with strong experience in designing and developing scalable enterprise applications. About Us CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550 engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions. Key Responsibilities Design, develop, train, fine-tune, and deploy AI/ML models for business applications. Build end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. Develop AI solutions in domains such as Natural Language Processing (NLP), Computer Vision, or Predictive Analytics. Implement and optimize deep learning models using PyTorch, TensorFlow, and Keras. Utilize Hugging Face libraries and pretrained models for NLP and transformer-based AI applications. Process and analyze structured and unstructured data using Python data science libraries. Build scalable inference services and integrate AI models into enterprise applications. Deploy, monitor, and maintain machine learning models in production environments. Collaborate with Data Engineers and DevOps teams to build reliable ML pipelines and MLOps workflows. Required Skills AI/ML Model Development 3 years of hands-on experience developing, training, fine-tuning, and deploying AI/ML models. Strong understanding of supervised, unsupervised, and deep learning techniques. Experience delivering production-ready AI solutions. Python & AI Frameworks Strong proficiency in Python. Hands-on experience with: PyTorch TensorFlow Keras Hugging Face Experience implementing transformer-based models and deep learning architectures. Why Join CodeVyasa Work on innovative, high-impact projects with leading global clients. Exposure to modern technologies, scalable systems, and cloud-native architectures. Continuous learning and upskilling opportunities through internal and external programs. Supportive and collaborative work culture with flexible policies. Competitive salary and comprehensive benefits package. Free healthcare coverage for employees and dependents. Job Description We are seeking a skilled Ai Ml Engineer | Bangalore having 3 yrs with strong experience in designing and developing scalable enterprise applications. About Us CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550 engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions. Key Responsibilities Design, develop, train, fine-tune, and deploy AI/ML models for business applications. Build end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. Develop AI solutions in domains such as Natural Language Processing (NLP), Computer Vision, or Predictive Analytics. Implement and optimize deep learning models using PyTorch, TensorFlow, and Keras. Utilize Hugging Face libraries and pretrained models for NLP and transformer-based AI applications. Process and analyze structured and unstructured data using Python data science libraries. Build scalable inference services and integrate AI models into enterprise applications. Deploy, monitor, and maintain machine learning models in production environments. Collaborate with Data Engineers and DevOps teams to build reliable ML pipelines and MLOps workflows. Required Skills AI/ML Model Development 3 years of hands-on experience developing, training, fine-tuning, and deploying AI/ML models. Strong understanding of supervised, unsupervised, and deep learning techniques. Experience delivering production-ready AI solutions. Python & AI Frameworks Strong proficiency in Python. Hands-on experience with: PyTorch TensorFlow Keras Hugging Face Experience implementing transformer-based models and deep learning architectures. Why Join CodeVyasa Work on innovative, high-impact projects with leading global clients. Exposure to modern technologies, scalable systems, and cloud-native architectures. Continuous learning and upskilling opportunities through internal and external programs. Supportive and collaborative work culture with flexible policies. Competitive salary and comprehensive benefits package. Free healthcare coverage for employees and dependents.