Location: Remote

Experience: 2–4 Years

Compensation: Up to ₹20 LPA

Open Positions: 1

About the Role A leading healthtech company is looking for a skilled AI Engineer with strong expertise in Machine Learning (ML) and Artificial Intelligence (AI) to build and deploy intelligent solutions. The ideal candidate will have hands-on experience developing ML models, working with modern AI technologies, and building scalable AI-powered applications.

Key Responsibilities

- Design, develop, and deploy AI/ML models to solve real-world business problems.
- Build and optimize machine learning pipelines, from data preprocessing and feature engineering to model training and evaluation.
- Develop AI-powered applications using Python and relevant ML frameworks.
- Work with Large Language Models (LLMs), Generative AI, and related technologies to build intelligent applications.
- Implement Retrieval-Augmented Generation (RAG) pipelines and integrate LLMs with external data sources where applicable.
- Evaluate model performance, improve accuracy, and optimize inference efficiency.
- Collaborate with engineering, product, and business teams to translate requirements into effective AI solutions.
- Integrate AI/ML models into production applications through APIs and backend services.
- Follow best practices for model evaluation, testing, deployment, monitoring, and responsible AI development.
- Stay updated on emerging AI/ML techniques, frameworks, and tools.

Required Skills & Qualifications





- 2–4 years of hands-on experience in AI engineering, machine learning, or a related field.
- Strong proficiency in Python and AI/ML development.
- Practical experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Strong understanding of machine learning algorithms, statistical concepts, model evaluation, and optimization.
- Hands-on experience building and deploying AI/ML models.
- Familiarity with Generative AI, LLMs, prompt engineering, and LLM application development.
- Experience working with APIs, data processing pipelines, and integrating AI models into applications.
- Understanding of model deployment, version control, and production environments.
- Strong analytical, problem-solving, and debugging skills.

Good to Have

- Experience building RAG-based applications and working with vector databases.
- Familiarity with LLM frameworks and orchestration tools such as LangChain or LlamaIndex.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of Docker, CI/CD, and ML deployment practices.
- Experience applying AI/ML to healthcare, medical data, or other complex, data-intensive domains.

What We’re Looking For

We are looking for an engineer who can go beyond theoretical ML knowledge and build practical AI solutions. The ideal candidate should have hands-on experience with Python, machine learning models, and up-to-date AI technologies, along with the ability to take AI solutions from experimentation to production.

📌 AI Engineer - 20 LPA (Remote) (India)
🏢 Jumbo Consulting
📍 India