AI Engineer With Python Artmac
Artmac
Office Location
Full Time
Experience: 0 - 0 years required
Pay:
Salary Information not included
Type: Full Time
Location: Hyderabad
Skills: Python, NumPy, Docker, Kubernetes, natural language processing, NLP, Computer Vision, distributed computing, Git, Streaming, APIs, Exploratory data analysis, Computer Science, Artificial Intelligence, Machine Learning, Tensorflow, PyTorch, Scikitlearn, Pandas, AI Engineering, machine learning algorithms, deep learning architectures, cloud platforms, CICD pipelines, MLOps Practices, big data technologies, realtime data processing, data pipelines, Data Preprocessing, Feature Engineering, Ai Solutions, Workflows, Bachelors degree, Masters Degree
About Artmac
Job Description
Who We Are Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers. Job Description Job Title : AI Engineer with Python Job Type : Full-Time Experience : 0 - 1 year Location : Hyderabad, Telangana Responsibilities 1 year of experience in AI engineering, focusing on Python programming. Must have knowledge of Cursor AI, Render, and CloudFlare. Proficiency in Python libraries and frameworks such as TensorFlow, PyTorch, sci-kit-learn, NumPy, and pandas. Strong understanding of machine learning algorithms and deep learning architectures. Experience with cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes. Knowledge of CI/CD pipelines and MLOps practices. Experience with natural language processing (NLP) and computer vision. Familiarity with distributed computing and big data technologies. Knowledge of version control systems such as Git. Experience with real-time data processing and streaming. Design, develop, and deploy AI/ML models to address business challenges. Build and maintain scalable and efficient data pipelines for machine learning workflows. Optimize and fine-tune AI models for performance, scalability, and accuracy. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into products. Research and stay updated on the latest advancements in AI, machine learning, and deep learning. Develop APIs and services to deploy AI models in production environments. Conduct data preprocessing, feature engineering, and exploratory data analysis (EDA). Monitor, evaluate, and troubleshoot deployed models to ensure reliability and performance. Document AI solutions, workflows, and best practices. Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.,