AI/ ML Engineer

Quinite Technologies Private Limited; Ahmedabad District; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

Quinite Technologies Private Limited is looking for a talented AI/ML Engineer to drive the development of a cutting-edge AI-powered customer support solution. You will design and develop sophisticated conversational AI tools, managing the AI lifecycle in an agile environment.

This position requires proficiency in NLP frameworks, machine learning libraries, and API development, along with a Bachelor's or Master’s degree in a relevant field.

Join us to contribute to a transformative product offering while working in a flexible remote or onsite setting in Ahmedabad.

Qualifications

• 3-7 years of experience in AI/ML, with a strong focus on development.
• Experience with conversational AI or voice-based interaction systems preferred.
• Proficient in Python and familiar with JavaScript.

Responsibilities

• Design, train, and fine-tune AI models for various applications.
• Develop APIs for voice-based interaction and system integration.
• Manage and optimize data processing pipelines.

Skills

Natural Language Processing (NLP)

Machine Learning

API Development

Python Programming

Cloud Platforms (AWS, GCP, Azure)

Education

Bachelor’s or Master’s degree in Computer Science, AI, or related field

Tools

TensorFlow

PyTorch

spaCy

Job description

Position: AI/ML Engineer

Type: Full-Time / Contract

Location: Remote / Onsite (Flexible)

Experience Level: 3-7 years (Intermediate)

About the Role

We are seeking a dynamic and versatile AI/ML Engineer to spearhead the development of an AI-powered customer support solution. This role requires designing, developing, and deploying a sophisticated conversational AI tool. You will have the unique opportunity to own the entire AI lifecycle and contribute to a transformative product in a fast-paced, agile environment.

Key Responsibilities

AI and Machine Learning Development

• Design, train, and fine-tune AI models for sentiment analysis, speech recognition, and conversational AI.
• Build adaptable models for regional dialects, informal language, and varying emotional tones.
• Develop and optimize self-training modules that learn from human interactions.

Software Development

• Design and implement APIs for seamless voice-based interaction and system integration.
• Develop scalable, efficient backend architecture to support AI functionalities.
• Create user-friendly front-end interfaces or dashboards for training, monitoring, and analytics.

Integration

• Integrate the AI tool with customer platforms such as CRMs, telephony systems, and email support tools.
• Ensure compatibility with third-party tools like Twilio, Zapier, or AWS Connect for voice functionalities.

Testing and Optimization

• Perform end-to-end testing to ensure performance and robustness.
• Optimize algorithms for real-time response and low latency.

Project Ownership

• Manage data preparation and processing pipelines.
• Collaborate with stakeholders to prioritize features for a minimum viable product (MVP).
• Stay updated with the latest AI/ML tools and frameworks for continuous improvement.

Required Skills and Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

AI/ML Expertise

• Proficient in NLP frameworks (e.g., Hugging Face, spaCy, NLTK) and speech-to-text tools.
• Experience with machine learning libraries like TensorFlow, PyTorch, or Scikit-learn.
• Strong knowledge of transfer learning and fine-tuning pre-trained models.

Programming

• Proficient in Python; familiarity with JavaScript or similar languages is an added advantage.

API Development

• Expertise in RESTful API development and third-party tool integration.

Databases

• Familiarity with relational (SQL) and NoSQL databases for managing data pipelines.

DevOps Basics

• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and deployment tools (Docker, Kubernetes).

Soft Skills

• Exceptional problem-solving ability, excellent communication skills, and a proactive approach.

Preferred Experience

• Experience with conversational AI or voice-based interaction systems.
• Familiarity with telephony tools (e.g., Twilio, Vonage, AWS Connect).
• Proven ability to deploy AI solutions at scale.
• Hands-on experience with customer-facing AI tools in industries such as e-commerce, banking, or insurance.