Join Us – Startup

Join Use

We believe in harnessing the collective brilliance of our diverse talents to craft innovative solutions and contribute to the ever-evolving digital landscape. Ready to join us and be at the forefront of transformative projects, taking your career in IT beyond limits?

Perks & Benefits

We take care of our team members, so they can deliver their best work. Here are a few of the benefits and perks we offer to our employees:

5 Days Working Per Week

Family Health Insurance

Play Area & Relax Room

Affordable Lunch

International Exposures

Dedicated Pantry Area

Free Snacks & Drinks

Open Work Culture

Current openings

We’re always looking for talented people

AI/ML Engineer

Experience 4+ Years No of openings 5

Minimum of 3 years of experience in AI-based application development and able to creat Python APIs.
Design, develop, and implement generative AI models using state-of-the-art techniques.
Fine-tune pre-existing models to improve performance and accuracy.
Develop and implement generative AI models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others.
Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs Whisper, Hugging Face, TensorFlow, PyTorch, and Prompt Engineering techniques to build robust and scalable AI applications.
Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
Test and validate AI models to ensure they meet quality standards and fulfill business objectives.
Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems.
Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques.
Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Optimize AI models for performance, efficiency, and scalability, ensuring seamless integration with cloud platforms like AWS, Google Cloud, or Azure.
Develop and maintain AI-based applications and systems for industries such as Healthcare, Real Estate, and Fintech.
Ensure the scalability, reliability, and performance of AI-based applications and systems.
Stay updated with the latest advancements in AI and Machine Learning technologies and integrate innovative approaches for sustained competitive advantage.
Expertise in Python programming and frameworks like FastAPI, Django etc
Experience with TensorFlow, Keras, PyTorch, and other deep learning frameworks.
Strong understanding and experience with open-source multimodal LLM models like OpenAI API, Gemini, VertexAI, Function calling, Open CV to customize and create solutions.
Experience with cloud-based AI services such as AWS, Azure, or Google Cloud Platform.
Knowledge of LangChain, Anthropics Constitutional AI, and Prompt Engineering techniques.
Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning.
A proven track record of delivering impactful AI-driven solutions.
The ideal candidate will possess a strong technical and problem-solving mindset, capable of translating business requirements into technical solutions.

Apply Now On career@mindinventory.com OR Call Us on +91-951-229-3491

Details Close

AI/ML Engineer

Experience 4+ Years No of openings 5

Minimum of 3 years of experience in AI-based application development and able to creat Python APIs.
Design, develop, and implement generative AI models using state-of-the-art techniques.
Fine-tune pre-existing models to improve performance and accuracy.
Develop and implement generative AI models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others.
Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs Whisper, Hugging Face, TensorFlow, PyTorch, and Prompt Engineering techniques to build robust and scalable AI applications.
Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
Test and validate AI models to ensure they meet quality standards and fulfill business objectives.
Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems.
Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques.
Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Optimize AI models for performance, efficiency, and scalability, ensuring seamless integration with cloud platforms like AWS, Google Cloud, or Azure.
Develop and maintain AI-based applications and systems for industries such as Healthcare, Real Estate, and Fintech.
Ensure the scalability, reliability, and performance of AI-based applications and systems.
Stay updated with the latest advancements in AI and Machine Learning technologies and integrate innovative approaches for sustained competitive advantage.
Expertise in Python programming and frameworks like FastAPI, Django etc
Experience with TensorFlow, Keras, PyTorch, and other deep learning frameworks.
Strong understanding and experience with open-source multimodal LLM models like OpenAI API, Gemini, VertexAI, Function calling, Open CV to customize and create solutions.
Experience with cloud-based AI services such as AWS, Azure, or Google Cloud Platform.
Knowledge of LangChain, Anthropics Constitutional AI, and Prompt Engineering techniques.
Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning.
A proven track record of delivering impactful AI-driven solutions.
The ideal candidate will possess a strong technical and problem-solving mindset, capable of translating business requirements into technical solutions.

Apply Now On career@mindinventory.com OR Call Us on +91-951-229-3491

Details Close

AI/ML Engineer

Experience 4+ Years No of openings 5

Minimum of 3 years of experience in AI-based application development and able to creat Python APIs.
Design, develop, and implement generative AI models using state-of-the-art techniques.
Fine-tune pre-existing models to improve performance and accuracy.
Develop and implement generative AI models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others.
Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs Whisper, Hugging Face, TensorFlow, PyTorch, and Prompt Engineering techniques to build robust and scalable AI applications.
Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
Test and validate AI models to ensure they meet quality standards and fulfill business objectives.
Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems.
Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques.
Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Optimize AI models for performance, efficiency, and scalability, ensuring seamless integration with cloud platforms like AWS, Google Cloud, or Azure.
Develop and maintain AI-based applications and systems for industries such as Healthcare, Real Estate, and Fintech.
Ensure the scalability, reliability, and performance of AI-based applications and systems.
Stay updated with the latest advancements in AI and Machine Learning technologies and integrate innovative approaches for sustained competitive advantage.
Expertise in Python programming and frameworks like FastAPI, Django etc
Experience with TensorFlow, Keras, PyTorch, and other deep learning frameworks.
Strong understanding and experience with open-source multimodal LLM models like OpenAI API, Gemini, VertexAI, Function calling, Open CV to customize and create solutions.
Experience with cloud-based AI services such as AWS, Azure, or Google Cloud Platform.
Knowledge of LangChain, Anthropics Constitutional AI, and Prompt Engineering techniques.
Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning.
A proven track record of delivering impactful AI-driven solutions.
The ideal candidate will possess a strong technical and problem-solving mindset, capable of translating business requirements into technical solutions.