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AI Engineer - R&D
AI Engineer - R&D
Mihup's logo

AI Engineer - R&D

Tanuj Jhunjhunwala's profile picture
Posted by Tanuj Jhunjhunwala
0 - 10 yrs
₹20L - ₹70L / yr
Kolkata, Bengaluru (Bangalore)
Skills
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Text-to-Speech (TTS)
Speech-to-Text (STT)
Speech recognition

Mihup is a voice AI company building in-car voice assistance and sound technology for the automotive industry. We power intelligent voice experiences for leading OEMs.

Its solutions integrate automation, real-time assistance, and analytics at scale to enhance accuracy, efficiency, and agility in enterprise operations. Mihup.ai also serves organizations across BFSI, IoT, and other sectors, delivering robust conversation intelligence that supports performance and innovation. With over 1 billion interactions powered, Mihup.ai helps businesses turn voice data into measurable business outcomes and competitive advantage. The company offers a dynamic environment for professionals interested in advanced AI applications in automotive and other industries.


Role Description The AI Engineer will design, develop, and optimize machine learning models and algorithms that power Mihup.ai’s Voice AI and conversation intelligence solutions. Day-to-day responsibilities include building and refining pattern recognition systems, implementing and training neural networks, and developing NLP-based features that improve speech understanding and real-time assistance. The role involves collaborating with product, data, and engineering teams to integrate AI models into production-grade software, monitor performance, and iterate based on user data and business needs. The AI Engineer will also contribute to research, prototyping, and documentation to keep the platform aligned with best practices in AI and scalable software development. This is a full-time, on-site role based in Kolkata/ Bangalore

Qualifications

  • Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles.
  • B. Tech, M.Tech, PHD from top tier institutes like IIT, IISC, ISI, NIT, IIIT is mandatory.
  • Demonstrated experience with Pattern Recognition and Neural Networks for real-world applications.
  • Hands-on expertise in Natural Language Processing (NLP), especially in speech, dialogue, or text analytics.
  • Proficiency in Software Development using languages such as Python, Java, or similar, and familiarity with version control and CI/CD.
  • Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries for NLP and deep learning.
  • Experience working with large-scale data pipelines, model evaluation, and performance optimization.
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical discipline, or equivalent practical experience.
  • Ability to work collaboratively in cross-functional teams, communicate technical concepts clearly, and document solutions effectively.
  • Background in voice technologies, speech recognition, or conversational AI is a strong plus.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Mihup

Founded :
2016
Type :
Product
Size :
100-500
Stage :
Raised funding

About

Founded in June 2016 and headquartered in Kolkata. Mihup is a leading Conversation Intelligence platform for boosting contact center performance. Built on proprietary ASR technology, Mihup offers the best blend of accuracy, speed and cost-effectiveness. Mihup is an ISO 27001-certified company and ensures world-class information security standards. The conversation intelligence platform of Mihup has handled over 100 million interactions for customers ranging from small businesses to enterprises across domains like BFSI, BPOs, e-commerce, logistics, and automobiles. We are backed by Accel Partners and Ideaspring Capital.
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