V2Solutions - Artificial Intelligence Engineer

3 weeks ago

Bengaluru, India V2Solutions Full time

Role : AI EngineerExp : 5- 7 yearsLocation : Mumbai/ BangaloreJob Description :Design & Development :- Lead the design, development, and implementation of end-to-end AI/ML systems and pipelines, from data ingestion to model deployment and monitoring.- Develop and optimize algorithms and models, with a strong emphasis on Generative AI models (LLMs, Diffusion Models, etc.), fine-tuning, and prompt engineering.- Write clean, maintainable, and efficient code in Python and other relevant languages.MLOps & Deployment :- Implement robust MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD) of ML models, monitoring, and retraining.- Deploy AI/ML models into production environments, ensuring scalability, reliability, and performance.- Manage and optimize cloud infrastructure (e.g., AWS, Azure, GCP) for AI/ML workloads.Research & Innovation :- Stay abreast of the latest advancements in AI/ML, particularly in Generative AI, large language models (LLMs), and relevant frameworks/libraries.- Propose and evaluate new AI technologies and methodologies to enhance existing products and explore new opportunities.- Contribute to the strategic direction of our AI roadmap.Data & Feature Engineering :- Collaborate with data scientists and data engineers to collect, clean, preprocess, and transform large datasets for model training. - Develop effective feature engineering strategies to improve model performance.Collaboration & Communication :- Work cross-functionally with product management to understand business needs and translate them into technical specifications.- Partner with software engineers to integrate AI solutions into existing products and platforms.Required Qualifications :- Experience : 5- 7 years of professional experience in an AI Engineer, Machine Learning Engineer, or similar role, with a proven track record of deploying AI/ML solutions to production.- Programming : Strong proficiency in Python is essential. Experience with other languages like Java, C++, or Go is a plus.- ML/DL Frameworks : Hands-on experience with major machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow, Keras, Hugging Face Transformers).Generative AI Expertise :- Demonstrable experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding of various model architectures (e.g., GPT, BERT, Llama)- Experience with other generative models (e.g., Stable Diffusion, GANs) is a significant advantage. (ref:hirist.tech)

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