Generative AI Engineer Specialist in Deep Learning

Generative AI Engineer Specialist in Deep Learning at Rayvat Outsourcing · Gandhinagar · 0 - 2 years · ₹1L - ₹2.5L / yr · Profitable · Posted 13 Nov 2024

Generative AI Engineer Specialist in Deep Learning

at Rayvat Outsourcing

Posted by HR Rayvat

0 - 2 yrs

₹1L - ₹2.5L / yr

Gandhinagar

Skills

NumPy

pandas

matplotlib

Audio

Job Title: (Generative AI Engineer Specialist in Deep Learning)

Location: Gandhinagar, Ahmedabad, Gujarat

Company: Rayvat Outsourcing

Salary: Upto 2,50,000/- per annum

Job Type: Full-Time

Experience: 0 to 1 Year

Job Overview:

We are seeking a talented and enthusiastic Generative AI Engineer to join our team. As an Intermediate-level engineer, you will be responsible for developing and deploying state-of-the-art generative AI models to solve complex problems and create innovative solutions. You will collaborate with cross-functional teams, working on a variety of projects that range from natural language processing (NLP) to image generation and multimodal AI systems. The ideal candidate has hands-on experience with machine learning models, deep learning techniques, and a passion for artificial intelligence.

Key Responsibilities:

· Develop, fine-tune, and deploy generative AI models using frameworks such as GPT, BERT, DALL·E, Stable Diffusion, etc.

· Research and implement cutting-edge machine learning algorithms in NLP, computer vision, and multimodal systems.

· Collaborate with data scientists, ML engineers, and product teams to integrate AI solutions into products and platforms.

· Create APIs and pipelines to deploy models in production environments, ensuring scalability and performance.

· Analyze large datasets to identify key features, patterns, and use cases for model training.

· Debug and improve existing models by evaluating performance metrics and applying optimization techniques.

· Stay up-to-date with the latest advancements in AI, deep learning, and generative models to continually enhance the solutions.

· Document technical workflows, including model architecture, training processes, and performance reports.

· Ensure ethical use of AI, adhering to guidelines around AI fairness, transparency, and privacy.

Qualifications:

· Bachelor’s/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.

· 2-4 years of hands-on experience in machine learning and AI development, particularly in generative AI.

· Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or similar.

· Experience with NLP models (e.g., GPT, BERT) or image-generation models (e.g., GANs, diffusion models).

· Strong knowledge of Python and libraries like NumPy, Pandas, scikit-learn, etc.

· Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI model deployment and scaling.

· Familiarity with APIs, RESTful services, and microservice architectures.

· Strong problem-solving skills and the ability to troubleshoot and optimize AI models.

· Good understanding of data preprocessing, feature engineering, and handling large datasets.

· Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.

Preferred Skills:

· Experience with multimodal AI systems (combining text, image, and/or audio data).

· Familiarity with ML Ops and CI/CD pipelines for deploying machine learning models.

· Experience in A/B testing and performance monitoring of AI models in production.

· Knowledge of ethical AI principles and AI governance.

What We Offer:

· Competitive salary and benefits package.

· Opportunities for professional development and growth in the rapidly evolving AI field.

· Collaborative and dynamic work environment, with access to cutting-edge AI technologies.

· Work on impactful projects with real-world applications.