Job highlights

- Bachelor s degree in Computer Science,Machine Learning,or a related field
- Strong Python skills with experience in hosting and maintaining ML models at scale
- 2-4 years of experience in machine learning or applied AI roles
- Experience working with domain-specific data,such as clinical or biomedical datasets

We are seeking a skilled and innovative Machine Learning Engineer with expertise in Natural Language Processing (NLP) and an interest in the latest AI models. This role focuses on driving innovation by introducing non-traditional approaches, deploying scalable models, and implementing advanced AI techniques to solve real-world challenges. The ideal candidate is a strong programmer with a research mindset and the ability to translate the latest advancements in AI into impactful solutions.

Key Responsibilities:

- Develop, deploy, and maintain ML models and pipelines for NLP tasks.
- Design and set up self-hosted models for specific tasks, ensuring efficiency and scalability.
- Establish workflows for fine-tuning, feedback loops, and online learning to enhance model performance.
- Implement and optimise prompt refinement techniques to improve results.
- Continuously research and evaluate state-of-the-art AI advancements to integrate into the organisations solutions.
- Contribute to existing and recent projects by:
- Streamlining processes for better estimation and scaling solutions.
- Enhancing testing tools and pipelines for AI development.
- Collaborate with teams to identify opportunities for applying AI and ML to solve complex problems efficiently.




- Build and productionize deep learning models, ensuring seamless integration into existing systems.

Requirements

- Bachelor s degree in Computer Science, Machine Learning, or a related field.
- 2-4 years of experience in machine learning or applied AI roles.
- Strong Python skills with experience in hosting and maintaining ML models at scale.
- Proficiency in a deep learning framework (e.g., PyTorch or TensorFlow).
- Ability to explore and evaluate research papers, identifying key methods and techniques for application.
- Capable of combining existing tools and frameworks to create efficient and effective solutions.
- Solid foundation in machine learning principles and statistical techniques.
- Strong communication skills to convey complex ideas to technical and non-technical stakeholders.

Preferred Qualifications:

- Familiarity with cloud platforms, containerization tools (e.g., Docker, Kubernetes), and production-level AI workflows.
- Experience working with domain-specific data, such as clinical or biomedical datasets.
- Interest in cutting-edge AI techniques, with aspirations to co-author research or contribute to industry advancements.
- Knowledge of advanced NLP techniques, including prompt engineering and refinement frameworks.
- Exposure to signal processing applications in various domains.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Machine Learning Engineer (Bengaluru)
🏢 Remotestar
📍 Bengaluru