Job Description: AI/ML Engineer (Full-Stack Development)
Position: AI/ML Engineer
Type: Full-Time / Contract
Location: Remote / Onsite (Flexible)
Experience Level: 4 - 6 years
About the Role:
We are a growing company looking for a versatile and self-driven AI/ML Engineer to lead the
development of an AI-powered customer support solution. You will be responsible for designing,
developing, and deploying a human-like conversational AI tool. This is a unique opportunity to
take ownership of the entire AI lifecycle while contributing to a groundbreaking product in a lean
and 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 models that adapt to regional dialects, informal language, and varying emotional
tones.
● Develop and optimize a self-training module that learns from human interactions.
Software Development
● Design and develop APIs for seamless voice-based interaction and system integration.
● Implement scalable and efficient backend architecture to support AI functionalities.
● Build 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
● Conduct end-to-end testing to ensure high-quality 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 up-to-date 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.
○ Knowledge of transfer learning and fine-tuning pre-trained models.
● Programming: Strong Python skills; familiarity with JavaScript or similar languages is a
plus.
● API Development: Experience with RESTful APIs and integrating third-party tools.
● Databases: Knowledge of relational (SQL) and NoSQL databases for handling data
pipelines.
● DevOps Basics: Familiarity with cloud platforms (AWS, GCP, or Azure) and deployment
tools (Docker, Kubernetes).
● Soft Skills: Strong problem-solving ability, excellent communication, and a proactive
approach to challenges.
Preferred Experience:
● Worked on conversational AI or voice-based interaction systems.
● Familiarity with telephony tools (e.g., Twilio, Vonage, or AWS Connect).
● Hands-on experience in deploying AI solutions at scale.
● Experience in handling customer-facing AI tools for industries like e-commerce, banking,
or insurance.
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