Artificial Intelligence Engineer

Loyalty Juggernaut; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Loyalty Juggernaut is hiring a Senior Product Engineer – AI in Hyderabad. This role involves developing and optimizing machine learning and AI solutions for core products. Ideal candidates should have 3 to 5 years of experience and a background in Computer Science or related fields. Proficiency in Python and ML libraries like TensorFlow or PyTorch is essential, along with strong problem-solving skills. The position emphasizes collaboration and communication within cross-functional teams.

Qualifications

• 3 to 5 years of experience in AI or related fields.
• Hands-on experience in building, evaluating, and deploying ML models.
• Strong data manipulation and insight extraction skills.

Responsibilities

• Design, develop, and deploy AI-driven product features using ML, NLP, or GenAI technologies.
• Build and maintain end-to-end ML pipelines.
• Analyze data to improve model accuracy and performance.

Skills

Problem-Solving

Python

Machine Learning

Data Analysis

Communication

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Job description

We are seeking highly skilled and motivated Senior Product Engineers – AI to join our AI engineering group in Hyderabad.

These roles will focus on developing, deploying, and optimizing machine learning and generative AI solutions that integrate directly into our core product ecosystem. The ideal candidates are problem‑solvers with strong technical depth in Python, data analysis, and machine learning — complemented by excellent communication skills and the ability to collaborate effectively across cross‑functional teams.

Key Responsibilities

• Design, develop, and deploy AI‑driven product features using ML, NLP, or GenAI technologies. Work closely with product managers, data scientists, and platform engineers to deliver scalable AI solutions.
• Build and maintain end-to-end ML pipelines — from data preparation and model training to deployment and monitoring.
• Analyze data and experiment with techniques to improve model accuracy, performance, and business impact.
• Integrate models into production microservices and APIs.
• Follow best practices in software development, version control, CI/CD, and testing.
• Document solutions, share knowledge, and contribute to technical reviews.
• Stay current with advancements in AI frameworks and modern engineering practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 3 to 5 years of experience.
• Problem‑Solving: Strong analytical and problem‑solving skills; ability to think through complex scenarios and propose effective solutions.
• Programming: Proficiency in Python with experience using data and ML libraries (NumPy, Pandas, Scikit‑learn, TensorFlow, or PyTorch).
• Machine Learning: Hands‑on experience in building, evaluating, and deploying ML models.
• Data Analysis: Strong data manipulation and insight extraction skills using Python and analytical tools.
• Communication: Exceptional written and verbal communication skills — must be able to document, present, and discuss technical topics clearly with both technical and non‑technical stakeholders.

Key Attributes

• Ownership mindset with high accountability.
• Passion for AI innovation and continuous learning.
• Strong collaboration and teamwork orientation.
• Ability to balance technical depth with product‑level thinking.