AI-ML Engineer

About The
Role :

: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:Bachelors or Masters degree in Computer Science, Artificial Intelligence,

Data Science, or a related field.

AI/ML Expertise:

â—‹ Proficient in NLP frameworks (e.g., Hugging Face, spaCy, NLTK) and

speech-to-text tools.

â—‹ Experience with machine learning libraries like TensorFlow, PyTorch, or

Scikit-learn.

â—‹ 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.

Skills:Artificial Intelligence (AI), Machine Learning (ML) and Data Science