Lead AI/ML Engineer (Voice & Predictive Models)

Hushh Technologies LLC.; Pune District; On-site; INR 350,000 - 650,000; Full time

Job summary

Hushh Technologies LLC is seeking a senior AI/ML engineer to develop NLP-driven voice recognition and interaction systems, and to create predictive AI models for cash flow optimization and insights. You will design robust ML solutions that deliver actionable, real-time results for investment platforms.

The role emphasizes user-centric AI design, collaboration across teams, and iterative improvement based on live feedback, with a focus on scalable, durable systems.

Qualifications

• 5+ years of AI/ML experience with NLP and deep learning.
• Proficient in Python and ML frameworks.
• Ability to design AI systems with user-centric applications.

Responsibilities

• Develop natural language processing (NLP) models for voice recognition and interaction.
• Create predictive AI models for cash flow optimization and financial insights.
• Build and fine-tune machine learning models that deliver actionable insights in real-time.

Skills

AI/ML experience

NLP

Deep learning

Python

TensorFlow/PyTorch

Hugging Face

Tools

Hugging Face

Job description

Competitive

Full-time

About HushhTech

Hushh Technologies LLC is an investment technology firm that combines artificial intelligence, quantitative research, and careful product design to improve how capital is analyzed and allocated.

Our team includes researchers, engineers, and investment professionals who care about durable systems, clear thinking, and long-term value creation.

Responsibilities

• Develop natural language processing (NLP) models for voice recognition and interaction.
• Create predictive AI models for cash flow optimization and financial insights.
• Build and fine-tune machine learning models that deliver actionable insights in real-time.

Skills, qualifications, and experience

• 5+ years of experience in AI/ML, with expertise in NLP and deep learning.
• Strong programming skills in Python, TensorFlow/PyTorch, and familiarity with Hugging Face.
• Proven ability to design AI systems with user-centric applications.
• Customer-First Mindset: Build systems that respond intuitively to user needs.
• Iterative Learning: Always improve models based on real-world feedback.
• Collaboration: Lead AI/ML initiatives while empowering the team.