Key Responsibilities:

- Design, develop, and deploy machine learning algorithms and models to improve product functionality and performance.
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
- Conduct research on emerging machine learning techniques and integrate cutting-edge advancements into products.
- Design, fine-tune, and customize LLMs and SLMs on domain-specific datasets to solve targeted business problems.
- Implement efficient model training techniques such as Parameter-Efficient Fine-Tuning (PEFT) methods, including LoRA.
- Apply optimization strategies like quantization, pruning, and knowledge distillation to enhance deployment efficiency and reduce latency.
- Build and maintain robust data processing, training, and evaluation pipelines for generative AI workflows.
- Work closely with product managers, designers, and engineering teams to deliver high-quality features within timelines.
- Participate in peer code reviews to maintain best practices, clean architecture, and performance standards.
- Troubleshoot, debug,



and resolve model-related or algorithmic issues during development and deployment.
- Document technical designs, model configurations, and development workflows for team and stakeholder alignment.

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 3–5 years of experience developing and deploying machine learning models in production environments.
- Strong understanding of supervised learning, unsupervised learning, deep learning, and natural language processing.
- Hands-on experience fine-tuning and customizing language models (LLMs/SLMs), even for less than a year in this emerging domain.
- Practical experience with the Hugging Face ecosystem (Transformers, PEFT, Datasets).
- Proficiency in Python and Java programming languages.
- Strong analytical thinking, problem-solving, and debugging skills.
- Ability to thrive in a fast-paced, dynamic, and team-oriented environment.

📌 Machine Learning Engineer (Secunderabad)
🏢 Phenom People
📍 Secunderabad