Designation : Associate AI Python Engineer

Location : Hyderabad, India

Employment Type : Full Time

Expertise : Associate

Key Responsibilities :

- Develop and implement cutting-edge machine learning and deep learning models using Python, transforming complex data into actionable insights for enterprise clients

- Design and optimize neural networks for various AI applications, ensuring high performance and accuracy in real-world scenarios

- Create efficient data preprocessing pipelines, handling large-scale datasets to fuel AI model training and deployment

- Implement robust data structures and algorithms to enhance the efficiency and scalability of AI solutions.

- Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operation

- Develop and maintain SQL and vector databases for efficient data storage and retrieval in AI applications.

- Continuously research and apply state-of-the-art AI techniques to solve complex business problems, demonstrating a passionate and ambitious approach to work

- Take ownership of AI projects from conception to deployment, showcasing unbeatable work ethics and a strong seeker mindset

- Translate complex AI concepts into clear, actionable insights for stakeholders, leveraging strong comprehension and communication skills

Foundational Skills:

- Python: Exceptional proficiency in Python programming, with a focus on writing clean, efficient, and maintainable code for AI applications

- Machine Learning and Deep Learning: Comprehensive understanding of core ML and DL concepts, algorithms, and their practical applications in solving real-world problems

- Data Structures and Algorithms: Strong foundation in designing and implementing efficient data structures and algorithms to optimize AI solution performance

- Neural Networks: In-depth knowledge of various neural network architectures and their applications in different AI domains

- Data Preprocessing: Expertise in handling, cleaning, and transforming large datasets to prepare them for AI model training and analysis

- SQL: Proficiency in writing complex SQL queries for data manipulation and analysis in AI projects

- Vector Databases: Familiarity with vector databases for efficient storage and retrieval of high-dimensional data in AI applications

- Ownership: Demonstrated ability to take full responsibility for AI projects, driving them from conception to successful completion

- Seeker Mindset: Proactive approach to learning and staying updated with the latest advancements in AI and machine learning

- Passionate Towards Work: Genuine enthusiasm for AI and its potential to solve complex business challenges

- Extremely Ambitious: Strong drive to push boundaries and achieve exceptional results in AI development

- Unbeatable Work Ethics: Commitment to delivering high-quality work, meeting deadlines, and maintaining professional integrity

- Ability to comprehend: Excellent analytical skills to understand complex AI concepts and translate them into practical solutions

Advanced Skills :

- TensorFlow or PyTorch: Experience with popular deep learning frameworks for building and deploying AI models

- Natural Language Processing: Knowledge of NLP techniques for text analysis, sentiment analysis, and language understanding tasks

- Computer Vision: Familiarity with computer vision algorithms and applications for image and video analysis

- Version Control (Git): Proficiency in using Git for collaborative development and code management

- ETL Pipelines: Experience in designing and implementing Extract, Transform, Load (ETL) pipelines for efficient data processing

- Kubernetes: Understanding of container orchestration for deploying and scaling AI applications

- GCP: Familiarity with Google Cloud Platform services for cloud-based AI development and deployment