Gen AI Engineer

Lorven Technologies, Inc.; Kolkata District, Hyderabad; Hybride; INR 2 800 000 - 4 800 000; Plein temps

Résumé du poste

Lorven Technologies, Inc. is hiring a Gen AI Engineer to collect and prepare data for multimodal models, develop and optimize large-scale models, and deploy AI applications on cloud platforms such as Azure, AWS, or GCP.

You will work on language modeling, text generation, and model fine-tuning for custom datasets. Responsibilities include building AI pipelines, data management, and integrating AI capabilities into existing applications, with emphasis on robust, scalable production systems and

Qualifications

• 6+ years of experience in AI/ML roles.
• Expertise in generative AI models and techniques (GANs, VAEs, Transformers).
• Experience with NLP and computer vision is a plus.
• Strong programming skills in Python and AI libraries (TensorFlow, PyTorch, Keras).
• Experience deploying AI models in production and integrating with cloud services.

Responsabilités

• Handle data preprocessing, augmentation, and generation of synthetic data.
• Design and develop backend services using Python or .NET to support OpenAI-powered solutions or other LLMs.
• Develop and maintain AI pipelines for training and inference.
• Work with custom datasets using chunking and embeddings to train and fine-tune models.
• Integrate Azure cognitive services or equivalent platforms to extend AI capabilities.
• Collaborate with cross-functional teams to ensure smooth deployment and integration.
• Ensure robustness, efficiency, and scalability of AI systems.

Connaissances

ML & DL

Generative AI

NLP

CV

Python

TensorFlow

PyTorch

Keras

Transformers

Cloud platforms

Docker

Kubernetes

Data preprocessing

Outils

TensorFlow

PyTorch

Keras

Docker

Kubernetes

AWS

Azure

GCP

Description du poste

Role: : Gen AI Engineer

Location: Hyderabad & Kolkata

Experience: 6+ years

Notice Period: 15 days or immedidate

Job Description:

• Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data.
• Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders)
• Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
• Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets.
• Build and deploy AI applications on cloud platforms any hyperscaler Azure, GCP or AWS.
• Integrate AI models with our company's data to enhance and augment existing applications.

Role & Responsibility

• Handle data preprocessing, augmentation, and generation of synthetic data.
• Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution)
• Develop and Maintaining AI Pipelines
• Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models.
• Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions
• Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions.
• Ensure the robustness, efficiency, and scalability of AI systems.
• Stay updated with the latest advancements in AI and machine learning technologies.

Skills & Experience

• Strong foundation in machine learning, deep learning, and computer science.
• Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).
• Experience with natural language processing (NLP) and computer vision is a plus.
• Ability to work independently and as part of a team.
• Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models.
• Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.
• Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models.
• Experience in developing and deploying AI models in production environments.
• 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
• Should be able to bring new ideas and innovative solutions to our clients