Pune, Maharashtra, India
Information Technology
Full-Time
MarsDevs
Overview
Company Description
MarsDevs is a remote-first, offshore digital product development company based in India.
We specialize in building MVPs, Mobile and Web Applications, SaaS Products, and vertical solutions for SMBs.
With a Track Record Of Delivering Over 60 Solutions In 10 Countries And 12 Different Industry Verticals, We Focus On Quality Code, Speed, And Lasting Technical
MarsDevs is a remote-first, offshore digital product development company based in India.
We specialize in building MVPs, Mobile and Web Applications, SaaS Products, and vertical solutions for SMBs.
With a Track Record Of Delivering Over 60 Solutions In 10 Countries And 12 Different Industry Verticals, We Focus On Quality Code, Speed, And Lasting Technical
- Design, develop, fine-tune, and deploy state-of-the-art generative AI models (e.g., LLMs, diffusion models, GANs).
- Collaborate with product, design, and engineering teams to integrate generative AI capabilities into products.
- Research and evaluate new AI/ML techniques and frameworks, especially in generative modeling.
- Optimize models for performance, scalability, and Clean and prepare datasets for training, validation, and testing.
- Monitor and evaluate model performance in production and iterate accordingly.
- Maintain documentation and contribute to internal knowledge sharing.
- Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related fields.
- 3+ years of experience in machine learning, with a focus on deep learning and generative models.
- Strong understanding of architectures like GPT, BERT, Diffusion Models, VAEs, or GANs.
- Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.
- Experience with prompt engineering and fine-tuning large language models (LLMs).
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps practices.
- Strong problem-solving and communication Qualifications :
- Published papers, open-source contributions, or demos related to generative AI.
- Experience with vector databases like Pinecone, Weaviate, or FAISS.
- Knowledge of data privacy, bias mitigation, and ethical AI practices.
- Experience in building conversational AI agents or AI-powered content generation tools.
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