AI ML Engineer

Job Description

We are looking for:

Key Responsibilities:

• Model Development & Optimization:
• Design, train, and optimize ASR models using real-world data.
• Apply deep learning techniques to improve model accuracy and robustness.
• Use frameworks like PyTorch , TensorFlow , and ASR toolkits such as Kaldi or HTK .
• Deployment & MLOps:
• Deploy models into production environments.
• Collaborate with infrastructure and data engineering teams to maintain scalable data pipelines.
• Implement continuous training and evaluation workflows.

Required Qualifications:

• Bachelor’s in Computer Science , Machine Learning , Speech Recognition , or related fields.
• Minimum 2 years of experience in Python or C++.
• Strong foundation in machine learning , deep learning , and speech technologies .
• Experience with MLOps practices , bilingual ASR model design , and cloud-based deployment .

Job Description - Grade Specific

Grade: 4 to 6 years (B2)

Qualicafication: Any (Except B.com, B.sc, BA, B B A, M Com)

Required Qualifications:

• Bachelor’s in Computer Science , Machine Learning , Speech Recognition , or related fields.
• Minimum 2 years of experience in Python or C++.
• Strong foundation in machine learning , deep learning , and speech technologies .
• Experience with MLOps practices , bilingual ASR model design , and cloud-based deployment .