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Software Engineer - AI/ML @ Fission Labs

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 Software Engineer - AI/ML

Job Description

Roles and Responsibilities

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.

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Qualifications Required

Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus.

Experience: 2-5 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with

transformer-based models.

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Skills and Experience Required

Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation

Machine Learning: Algorithms, Deep Learning, Neural Networks

Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow

MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure)

Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

Opportunity to work on technical challenges with global impact.

Sponsored Tech Talks & Hackathons to foster innovation and learning.

Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.

Supportive work environment with forums to explore passions beyond work.

This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: Fission Labs
Location(s): Hyderabad

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Keyskills:   Azure GCP AWS T5 Cloud Platforms MLOps Docker MLflow GPT BERT Kubernetes

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Fission Labs

Fission Labs is a Software Product Development & Services company delivering high-end solutions primarily in the areas of highly scalable cloud applications and analytics for large sets of data. Few of the challenges we are working on are scaling an application to support 150 million users, real-tim...