Gen AI Engineer

Product Based Company

Gen AI Engineer

Techno Wise

Company

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Gen AI Engineer

at Product Based Company

Agency job

via Techno Wise

3 - 5 yrs

₹15L - ₹20L / yr

Remote only

Skills

Open-source LLMs

Generative AI

Huggingface

Microsoft Windows Azure

Amazon Web Services (AWS)

Python

PyTorch

TensorFlow

Product based

Position Overview:

As a Generative AI Engineer, you will be responsible for designing, implementing, and optimizing generative AI models and algorithms.You will primarily work in building new b2c applications and integrating AI features into existing apps. You will work closely with cross-functional teams to integrate AI capabilities into our products. The ideal candidate will have a strong entrepreneurial mindset, who owns the entire AI implementation and is well versed in latest developments in GenAI and LLM space.

Key Responsibilities:

Data Preprocessing & Augmentation: Work with large-scale datasets, preprocess data, and implement data augmentation techniques to improve the quality and diversity of training data.
Algorithm Optimization: Optimize model performance, including reducing training time, improving accuracy, and enhancing the overall efficiency of generative AI systems and LLMs.
Research & Innovation: Stay up-to-date with the latest research and trends in generative AI and propose innovative solutions for new challenges and applications.
Collaboration: Work closely with product, engineering, and data science teams to understand use cases, define requirements, and integrate generative AI models into applications and products.
Model Evaluation & Fine-tuning: Evaluate models using appropriate metrics and perform model fine-tuning to ensure high-quality outputs.
AI Infrastructure & Deployment: Work with cloud-based environments and AI frameworks to deploy models and optimize their scalability and reliability.
Documentation & Reporting: Document models, code, and processes clearly to ensure that solutions are reproducible and maintainable. Communicate findings and results to both technical and non-technical stakeholders.
Setup and deploy new AI based processes in organization with the goal of improving efficiency in every department.

Required Qualifications:

3+ years of experience in machine learning or AI development, with a focus on generative models.
Strong proficiency in programming languages such as Python, and experience with AI/ML libraries like TensorFlow, PyTorch.
Working knowledge of javascript and other web concepts is a plus.
Analyse and preprocess diverse datasets to extract meaningful information for AI applications
Streamline the development and deployment of Generative AI models using cloud infrastructure and tools such as cognitive search, VectorDB, and frameworks like LangChain, LlamaIndex, HuggingFace, openAI APIs etc.
Up to date with latest advancements in Gen AI and LLMs along with the knowledge in best models such GPT-x, Llama, claude, gemini and leaderboards for the same.
Well versed with LLM concepts such as vector embeddings, RAGs, prompt engineering, transformers, fine tuning models, Semantic search, training large models etc.
Solid understanding of deep learning fundamentals, including backpropagation, gradient descent, and neural network architectures.
Experience in developing end to end AI applications from training to deployment. Previous experience in working with AI applications is a big plus.
Strong research interest delving deep into depths of AI, LLM tech with passion.
Experience working with AI coding tools such as bolt.new, claude, Github Copilot, Cursor.ai etc.
Experience with large-scale data processing and working with cloud platforms (AWS, Google Cloud, Azure).
Strong analytical and problem-solving skills with the ability to experiment and iterate quickly.
Familiarity with model evaluation techniques and performance metrics specific to generative models.
Good understanding of NLP and/or computer vision, depending on the focus area of the generative models.
Strong communication skills and the ability to collaborate in a cross-functional team environment.

Position Overview:

Key Responsibilities:

Data Preprocessing & Augmentation: Work with large-scale datasets, preprocess data, and implement data augmentation techniques to improve the quality and diversity of training data.
Algorithm Optimization: Optimize model performance, including reducing training time, improving accuracy, and enhancing the overall efficiency of generative AI systems and LLMs.
Research & Innovation: Stay up-to-date with the latest research and trends in generative AI and propose innovative solutions for new challenges and applications.
Collaboration: Work closely with product, engineering, and data science teams to understand use cases, define requirements, and integrate generative AI models into applications and products.
Model Evaluation & Fine-tuning: Evaluate models using appropriate metrics and perform model fine-tuning to ensure high-quality outputs.
AI Infrastructure & Deployment: Work with cloud-based environments and AI frameworks to deploy models and optimize their scalability and reliability.
Documentation & Reporting: Document models, code, and processes clearly to ensure that solutions are reproducible and maintainable. Communicate findings and results to both technical and non-technical stakeholders.
Setup and deploy new AI based processes in organization with the goal of improving efficiency in every department.

Required Qualifications:

3+ years of experience in machine learning or AI development, with a focus on generative models.
Strong proficiency in programming languages such as Python, and experience with AI/ML libraries like TensorFlow, PyTorch.
Working knowledge of javascript and other web concepts is a plus.
Analyse and preprocess diverse datasets to extract meaningful information for AI applications
Streamline the development and deployment of Generative AI models using cloud infrastructure and tools such as cognitive search, VectorDB, and frameworks like LangChain, LlamaIndex, HuggingFace, openAI APIs etc.
Up to date with latest advancements in Gen AI and LLMs along with the knowledge in best models such GPT-x, Llama, claude, gemini and leaderboards for the same.
Well versed with LLM concepts such as vector embeddings, RAGs, prompt engineering, transformers, fine tuning models, Semantic search, training large models etc.
Solid understanding of deep learning fundamentals, including backpropagation, gradient descent, and neural network architectures.
Experience in developing end to end AI applications from training to deployment. Previous experience in working with AI applications is a big plus.
Strong research interest delving deep into depths of AI, LLM tech with passion.
Experience working with AI coding tools such as bolt.new, claude, Github Copilot, Cursor.ai etc.
Experience with large-scale data processing and working with cloud platforms (AWS, Google Cloud, Azure).
Strong analytical and problem-solving skills with the ability to experiment and iterate quickly.
Familiarity with model evaluation techniques and performance metrics specific to generative models.
Good understanding of NLP and/or computer vision, depending on the focus area of the generative models.
Strong communication skills and the ability to collaborate in a cross-functional team environment.

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