Website:
jumbo.consulting
Job details:
Experience: 2–5 Years
Location: Remote
Compensation: Up to ₹20 LPA
Employment Type: Full-time
About the CompanyWe are a rapidly growing AI-driven health-tech / biotech company building advanced artificial intelligence systems to transform drug discovery and development.
Our technology combines AI, machine learning, predictive modeling and large-scale biological/multi-omics data to help researchers and life-sciences organizations identify promising drug candidates, predict efficacy and safety, and reduce the time and cost involved in bringing new therapies to patients.
We are looking for an AI Engineer who is excited about applying modern AI techniques to complex, real-world problems at the intersection of Artificial Intelligence, Healthcare and Biotechnology.
Role Overview
As an AI Engineer, you will work closely with AI/ML and scientific teams to design, develop and deploy machine-learning solutions for healthcare and drug-discovery applications.
You will be involved across the AI lifecycle — from data processing and model development to experimentation, evaluation, optimization and production deployment.
Key Responsibilities
- Design, develop and deploy machine learning and AI models for healthcare and life-sciences applications.
- Work with large-scale structured, unstructured and biological/multi-omics datasets.
- Develop predictive models for areas such as drug activity, efficacy, safety and biological outcomes.
- Build and optimize data preprocessing, feature engineering and model-training pipelines.
- Experiment with modern deep learning, NLP and generative AI techniques where appropriate.
- Evaluate model performance using appropriate statistical and ML metrics.
- Improve model accuracy, scalability, robustness and inference performance.
- Collaborate with data scientists, computational biologists and domain experts to translate scientific problems into ML solutions.
- Develop APIs and production-ready services around AI/ML models.
- Contribute to MLOps practices including model versioning, monitoring, testing and deployment.
- Stay current with advances in AI/ML, deep learning and AI applications in healthcare.
Required Skills
- 2–5 years of hands-on experience in AI/ML engineering or machine learning.
- Strong proficiency in Python.
- Experience with ML frameworks such as PyTorch, TensorFlow or scikit-learn.
- Strong understanding of:
- Machine learning algorithms
- Deep learning
- Model evaluation and optimization
- Data preprocessing and feature engineering
- Statistics and probability
- Experience working with SQL and data-processing pipelines.
- Experience building and deploying ML models in production.
- Familiarity with REST APIs, Git and cloud environments.
- Strong problem-solving and analytical skills.
Good to Have
- Experience with Generative AI / LLMs.
- Experience with NLP or transformer architectures.
- Exposure to healthcare, biotechnology, pharmaceuticals or computational biology.
- Experience working with multi-omics, genomic or biological datasets.
- Knowledge of cloud platforms such as AWS, GCP or Azure.
- Experience with Docker, Kubernetes or other containerization technologies.
- Familiarity with MLOps and model deployment at scale.
What You’ll Get
- Opportunity to work on real-world AI applications in healthcare and drug discovery.
- High ownership and exposure to cutting-edge AI technologies.
- Remote-first working environment.
- Opportunity to collaborate with AI, engineering and scientific experts.
- Competitive compensation of up to ₹20 LPA.
Ideal Candidate
We’re looking for someone who is:
- Strong technically and comfortable building AI systems end-to-end.
- Curious about applying AI beyond traditional software use cases.
- Excited by problems involving large, complex datasets and scientific applications.
- Comfortable working in a fast-moving startup environment.
- Passionate about using AI to create meaningful impact in healthcare.
Click on Apply to know more.
