Company Name: Mintelligence

Job Description – Senior AI Scientist

Location: Navi Mumbai (CBD Belapur)
Work Mode: 5 Days Work From Office
Experience: 5 – 10 Years
Qualification: B.Tech from (CS/AI/ML/DS/EE preferred)
Company Type: Startup (candidate must be willing to work in a startup environment)

About the Role

We are looking for a highly skilled Senior AI Scientist who is a subject matter expert in advanced AI/ML model development and research. The ideal candidate should have strong hands-on experience with LLMs, transformers, diffusion models, multimodal architectures, and must be comfortable leading research-driven projects in a fast-paced startup environment.

This role requires deep technical expertise, strong coding abilities, and the ability to review, validate, and debug complex ML codebases.

Key Responsibilities

1. Research & Innovation

• Lead research in LLMs, diffusion models, transformers, and multimodal AI systems.

• Explore state-of-the-art literature and implement new ideas, techniques, and architectures.

• Develop prototypes and run experiments for AI model advancement.

2. Model Development & Deployment

• Design, train, fine-tune, and optimize deep learning models.

• Work with large and diverse datasets across text, image, and multimodal domains.

• Deliver production-ready models with high performance and reliability.

3. Code Quality & Review

• Identify, debug, and resolve coding errors in ML pipelines and model scripts.

• Maintain clean, high-quality research and production code.

• Collaborate closely with engineering teams for smooth integration.

4. Experimentation & Benchmarking

• Perform model benchmarking and statistical evaluations.

• Conduct ablation studies and experiment documentation.

• Present insights and findings with clear technical reasoning.

Required Skills & Expertise

• Strong research experience in deep learning, NLP, CV, generative AI, or related fields.

• Hands-on expertise with transformers, LLMs, diffusion models, multimodal systems.

• Proficiency in Python, PyTorch / TensorFlow, and modern ML toolkits.

• Ability to debug and optimize large-scale ML systems.

• Strong mathematical foundations and problem-solving skills.

• Willingness to thrive in a fast-paced startup environment.

Preferred Qualifications

• Research publications, patents, or open-source contributions.

• Experience with distributed training, GPU optimization, or cloud ML platforms (AWS/GCP/Azure).

• Familiarity with reproducible research tools and ML experimentation frameworks.