AI/ ML Engineer

Position: AI/ML Engineer
Type: Full-Time / Contract
Location: Remote / Onsite (Flexible)
Experience Level: 2-4 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.