AI/MLEngineer

The Digital Group Inc.; Pune District; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A leading technology firm in Pune is seeking a highly skilled Generative AI Engineer to design and deploy multimodal AI solutions on cloud platforms. The ideal candidate will have over 5 years of experience in AI/ML and extensive expertise in generative AI, particularly with Azure or AWS services, and a strong proficiency in Python. Responsibilities include developing pipelines, collaborating with teams, and staying ahead of GenAI research trends. This is an opportunity to work in a dynamic environment with cutting-edge technology.

Qualifications

• 5+ years of experience in AI/ML, with 12 years specifically in generative AI/multimodal AI.
• Strong proficiency with Azure AI or AWS AI cloud platforms.
• Hands-on experience with multimodal data processing (NLP, audio, video).
• Experience with LLMs and transformer architectures.
• Proficiency in Python and relevant libraries.
• Strong understanding of MLOps and CI/CD for ML.

Responsibilities

• Design, develop, and deploy multimodal AI models using AWS or Azure services.
• Integrate LLMs with proprietary or third-party models.
• Utilize Azure OpenAI, AWS Bedrock, or similar services for workflows.
• Develop pipelines for preprocessing, training, evaluation, and fine-tuning.
• Collaborate with teams to define use cases for GenAI solutions.
• Evaluate and optimize models for various performance metrics.
• Implement advanced techniques like prompt engineering and vector search.
• Stay current with GenAI research trends.

Skills

AI/ML

Generative AI

Multimodal AI

Python

Azure AI

AWS AI

MLOps

Tools

PyTorch

TensorFlow

Transformers (Hugging Face)

Vector databases (FAISS, Pinecone)

Job description

We are seeking a highly skilled and motivated Generative AI Engineer with hands‑on experience in building and deploying multimodal AI solutions (text, audio, and video) on Azure or AWS AI platforms. The ideal candidate will have deep knowledge of generative AI models (LLMs, diffusion models, etc.), and be capable of designing, developing, and scaling AI/ML solutions using cloud-native tools and services.

Key Responsibilities

• Design, develop, and deploy multimodal AI models (text, audio, video) using AWS or Azure AI services.
• Integrate LLMs (e.g., OpenAI, Anthropic, Cohere) with proprietary or third‑party models to build custom applications.
• Utilize Azure OpenAI, AWS Bedrock, SageMaker, or similar services for training and inference workflows.
• Develop pipelines for preprocessing, training, evaluation, and fine‑tuning of multimodal models.
• Collaborate with product and engineering teams to define use cases and translate them into scalable GenAI solutions.
• Evaluate and optimize models for latency, accuracy, cost, and ethical considerations.
• Implement prompt engineering, RAG (retrieval‑augmented generation), vector search, and other advanced techniques.
• Stay current with GenAI research trends and contribute to internal knowledge sharing.

Required Skills & Qualifications

• 5+ years of experience in AI/ML, with 12 years specifically in generative AI / multimodal AI.
• Strong proficiency with at least one cloud platform: Azure AI (Azure OpenAI, Cognitive Services, ML Studio) or AWS AI (Bedrock, SageMaker, Transcribe, Rekognition, Polly, etc.).
• Hands‑on experience with multimodal data processing (e.g., NLP, audio signal processing, video analysis).
• Experience with LLMs, transformer architectures, and model fine‑tuning (e.g., LoRA, PEFT, adapters).
• Proficiency in Python, and libraries such as PyTorch, TensorFlow, Transformers (Hugging Face).
• Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding generation.
• Strong understanding of MLOps, CI/CD for ML, and deployment strategies for GenAI models.