Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or related field., Minimum of 5+ years of relevant experience in Generative AI., Proficiency in Python and AI libraries like TensorFlow, PyTorch, and Keras., Familiarity with cloud services and containerization technologies..

Key responsabilities:

Develop and deploy AI models in production environments.

Manage data pre-processing, augmentation, and synthetic data generation.

Collaborate with clients to introduce innovative AI solutions.

Work independently and as part of a team to solve complex problems.

Job description

Job Opening: Gen AI Specialist

Location: Nationwide

Experience: 9-12 years

Notice Period: Immediate to 90 days

Job Description

We are in search of a Gen AI Specialist with 9–12 years of overall experience and a minimum of 5+ years of relevant experience in Gen AI. The ideal candidate should possess a solid background in machine learning, deep learning, and computer science, with expertise in generative AI models and techniques such as GANs, VAEs, and Transformers. Proficiency in natural language processing (NLP) and computer vision is highly desirable. The candidate should be adept at working both independently and as part of a team, with proficiency in advanced programming languages such as Python and AI-centric libraries like TensorFlow, PyTorch, and Keras. Additionally, experience in data management, including data pre-processing, augmentation, and generation of synthetic data, as well as developing and deploying AI models in production environments, is essential. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying, managing, and scaling AI solutions is also crucial. The candidate should be capable of introducing new ideas and innovative solutions to our clients.

Requirements

Requirements:

Bachelor's degree in Computer Science, Engineering, or related field.
Demonstrated experience in Gen AI, LSTM, BERT, GPT, Machine Learning, and Deep Learning.
Proficiency in Python and AI-centric libraries like TensorFlow, PyTorch, and Keras.
Familiarity with cloud services (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.

Required profile