Job Description

Years of Experience:

5-10 Years

Skills Stack:

Generative AI, Azure or AWS

Shift Timings:

05:30 am - 05:30 am ()

Role and Responsibility Details:

:

About the Role

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 1 2 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.

Qualifications:

B.E

Locations:

Pune

Contact:

Recruitment Team

Email: tdg-recruitment@thedigitalgroup.com