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Associate Architect - AI/ML

Salary

₹24.0 - 32.0 LPA

Min Experience

12 years

Location

Hyderabad, India

JobType

full-time

About the job

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About the role

● Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. ● Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. ● Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. ● Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. ● Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. ● Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. ● Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices.

About the company

Fission Labs is a leading provider of digital transformation solutions, specializing in web and mobile app development, data engineering, cloud consulting, AI/ML services, and more. We work with global clients to deliver innovative and impactful digital solutions.

Skills

generative ai
transformer models
gans
vaes
text generation
image generation
machine learning
algorithms
deep learning
neural networks
langchain
gpt-4
sagemaker/bedrock
python
sql
hugging face transformers
pytorch
tensorflow
docker
kubernetes
mlflow
aws
gcp
azure
data preprocessing
feature engineering
data cleaning