Machine Learning Engineer

Location Hyderabad

Night shift starting 9.30 pm ist

Min- 5 years Experience

Budget: Depends on experience, between 15-18 LPA

Responsibilities:
● Utilize LLMs and other AI models for voice assistants that provide kitchen operators with real-time support and customer service.● Conduct research and experiments to improve AI models, enhancing the voice assistant's ability to accurately understand and respond to operator queries and commands.● Collaborate with engineers to integrate NLP capabilities into robotic kitchen assistants, ensuring seamless interactions between human operators and machines.● Optimize NLP models for real-time on device performance and language comprehension in noisy, fast-paced kitchen environments.● Design voice interaction flows and natural language understanding (NLU) systems to ensure the AI assistant can handle diverse operator requests, from simple commands to complex ones. troubleshooting.● Build data pipelines to continuously train and refine NLP models based on real-world operator interactions and performance feedback.● Develop multilingual NLP capabilities to support kitchen operations across diverse language environments.● Participate in cross-functional teams to prototype and iterate on new voice assistant features, ensuring smooth deployment to production.● Stay up-to-date with the latest advancements in NLP, voice recognition, speech synthesis, and conversational AI, advocating for the adoption of cutting-edge technologies.

Qualifications:
● Strong background in AI/ML, with a focus on Natural Language Processing (NLP), conversational AI, and speech recognition technologies.● Hands-on experience with NVIDIA GPU acceleration, CUDA, and deep learning frameworks (e.g., TensorFlow, PyTorch).● Proficiency in Python and experience with the Linux environment, and version control systems (e.g., Git).● Experience building and deploying NLP systems, including speech-to-text, text-to-speech, and natural language understanding (NLU) in real-time environments.● Familiarity with tokenization, tool calling, agents, entity recognition, sentiment analysis, and intent classification techniques.● Strong understanding of linguistic nuances, including slang and dialects, to ensure effective communication in diverse operational settings.● Ability to collaborate with cross-functional teams, integrating NLP solutions into robotic systems.

Nice to Have:
● Previous experience with AI solutions in industrial automation or kitchen automation settings.● Familiarity with AI tools from NVIDIA, like NVIDIA ACE and Tokkio for customer support.● Hands-on experience with the Robot Operating System (ROS).● Experience with agile project management tools like JIRA or similar platforms.● Knowledge of real-time conversational AI, reinforcement learning, or behavior cloning in robotic applications.● Experience in developing NLP solutions that can function effectively in noisy environments.● Experience working with perception algorithms in computer vision or sensor fusion.● Strong attention to detail, with a focus on improving user experience through continuous feedback and iteration.

Job Types: Full-time, Permanent

Pay: Up to ₹1,800,000.00 per year

Benefits:

• Food provided
• Health insurance
• Provident Fund

Work Location: In person