If you are planning to build your career in the AI and ML domain, then this detailed guide on the Product Development Engineer role will help you understand everything about this position. Many fresh graduates and early-career professionals search for opportunities in Machine Learning, and this role is considered one of the best ways to start.
This article explains the full job description, responsibilities, skills required, work environment, salary insights, and career growth—written in simple human-friendly language.
⭐ Role Overview: Product Development Engineer – Machine Learning
The position of Product Development Engineer focuses on creating AI-powered features, designing ML models, analyzing large datasets, and collaborating with cross-functional teams. The role is suitable for candidates with 0–3 years of experience, especially those who understand ML concepts, Python programming, and frameworks like TensorFlow, PyTorch, or Transformers.
This job also falls under the Engineering Category, and the official job ID for this role is P-103972.
About the Company
This opportunity is offered by an AI-powered HR tech platform known for helping millions of people find meaningful work. With offices across multiple countries and over 1,500 employees, the organization aims to innovate the talent experience using machine learning, automation, and advanced AI solutions.
What You Will Do (Job Responsibilities)
As a Product Development Engineer, your main responsibilities include:
- Designing and implementing advanced ML algorithms
- Improving product performance using data-driven solutions
- Working closely with cross-functional teams
- Building ML pipelines and workflows
- Performing research on new ML trends such as LLMs, Transformers, and AI Agents
- Analyzing and interpreting complex datasets
- Participating in code reviews to maintain high standards
- Troubleshooting ML-related issues
- Documenting processes and sharing updates with stakeholders
Skills & Eligibility Criteria
Below is a structured table that summarizes the core requirements for the Product Development Engineer role:
Two-Column Table (Skills & Requirements)
| Requirement Category | Details |
|---|---|
| Educational Qualification | Bachelor’s or Master’s in Computer Science, Engineering, or related fields |
| Experience Required | 0–3 years in ML model development or AI-based projects |
| Programming Skills | Strong knowledge of Python |
| ML Frameworks | PyTorch, TensorFlow, Keras, Transformers |
| Data Tools | SQL, Spark, Hadoop |
| Core ML Knowledge | Deep learning, NLP, supervised & unsupervised learning |
| Additional Knowledge | Understanding of LLMs, AI Agents, Transformers |
| Soft Skills | Problem-solving, teamwork, communication |
| Work Environment | Fast-paced, collaborative, innovative |
🌟 Why This Role Is a Great Choice
This Product Development Engineer position offers an excellent learning environment for freshers and early-career engineers who want to grow in Machine Learning. You will get a chance to work on real AI-powered applications and be part of a global team that is constantly innovating in HR tech.
Employee Benefits
The company focuses on supporting employees in all aspects of life:
- Flexible working hours
- Health and wellness programs
- Career development opportunities
- Fun perks and activities across locations
- A supportive and inclusive culture
Their strong commitment toward Diversity, Equity & Inclusion ensures a safe, welcoming, and empowering workspace for everyone.
Career Growth for a Product Development Engineer
Working as a Product Development Engineer opens multiple career paths:
- Machine Learning Engineer
- AI Engineer
- Data Scientist
- Lead Product Engineer
- Research Engineer
- MLOps Engineer
As ML and AI adoption rises globally, these roles are expected to grow more in demand in the coming years.
Final Words for Job Seekers
If you are looking to start your career in Machine Learning, this Product Development Engineer role can be a perfect stepping stone. Keep learning, build strong ML foundations, and apply as soon as possible to boost your chances.
Wishing all job seekers the very best in their career journey! 🌟
