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Urgent! Techolution - Associate Python Engineer - Artificial Intelligence Job Opening In India, India – Now Hiring Techolution

Techolution Associate Python Engineer Artificial Intelligence



Job description

<p><p>Designation : Associate AI Python Engineer<br/><br/>Location : Hyderabad, India<br/><br/>Employment Type : Full Time<br/><br/>Expertise : Associate<br/><br/><b>Key Responsibilities :</b><br/><br/>- Develop and implement cutting-edge machine learning and deep learning models using Python, transforming complex data into actionable insights for enterprise clients<br/><br/>- Design and optimize neural networks for various AI applications, ensuring high performance and accuracy in real-world scenarios<br/><br/>- Create efficient data preprocessing pipelines, handling large-scale datasets to fuel AI model training and deployment<br/><br/>- Implement robust data structures and algorithms to enhance the efficiency and scalability of AI solutions.<br/><br/>- Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operation<br/><br/>- Develop and maintain SQL and vector databases for efficient data storage and retrieval in AI applications.<br/><br/>- Continuously research and apply state-of-the-art AI techniques to solve complex business problems, demonstrating a passionate and ambitious approach to work<br/><br/>- Take ownership of AI projects from conception to deployment, showcasing unbeatable work ethics and a strong seeker mindset<br/><br/>- Translate complex AI concepts into clear, actionable insights for stakeholders, leveraging strong comprehension and communication skills<br/><br/><b>Foundational Skills:</b><br/><br/>- Python: Exceptional proficiency in Python programming, with a focus on writing clean, efficient, and maintainable code for AI applications<br/><br/>- Machine Learning and Deep Learning: Comprehensive understanding of core ML and DL concepts, algorithms, and their practical applications in solving real-world problems<br/><br/>- Data Structures and Algorithms: Strong foundation in designing and implementing efficient data structures and algorithms to optimize AI solution performance<br/><br/>- Neural Networks: In-depth knowledge of various neural network architectures and their applications in different AI domains<br/><br/>- Data Preprocessing: Expertise in handling, cleaning, and transforming large datasets to prepare them for AI model training and analysis<br/><br/>- SQL: Proficiency in writing complex SQL queries for data manipulation and analysis in AI projects<br/><br/>- Vector Databases: Familiarity with vector databases for efficient storage and retrieval of high-dimensional data in AI applications<br/><br/>- Ownership: Demonstrated ability to take full responsibility for AI projects, driving them from conception to successful completion<br/><br/>- Seeker Mindset: Proactive approach to learning and staying updated with the latest advancements in AI and machine learning<br/><br/>- Passionate Towards Work: Genuine enthusiasm for AI and its potential to solve complex business challenges<br/><br/>- Extremely Ambitious: Strong drive to push boundaries and achieve exceptional results in AI development<br/><br/>- Unbeatable Work Ethics: Commitment to delivering high-quality work, meeting deadlines, and maintaining professional integrity<br/><br/>- Ability to comprehend: Excellent analytical skills to understand complex AI concepts and translate them into practical solutions<br/><br/><b>Advanced Skills :</b><br/><br/>- TensorFlow or PyTorch: Experience with popular deep learning frameworks for building and deploying AI models<br/><br/>- Natural Language Processing: Knowledge of NLP techniques for text analysis, sentiment analysis, and language understanding tasks<br/><br/>- Computer Vision: Familiarity with computer vision algorithms and applications for image and video analysis<br/><br/>- Version Control (Git): Proficiency in using Git for collaborative development and code management<br/><br/>- ETL Pipelines: Experience in designing and implementing Extract, Transform, Load (ETL) pipelines for efficient data processing<br/><br/>- Kubernetes: Understanding of container orchestration for deploying and scaling AI applications<br/><br/>- GCP: Familiarity with Google Cloud Platform services for cloud-based AI development and deployment<br/></p><br/></p> (ref:hirist.tech)


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