## About the company
Dheera is an AI first company reimagining how the pharmaceutical world handles compliance, quality, and trust. We build intelligent systems that read regulations, understand SOPs, and fix gaps before they become audit failures.
Our fine tuned AI turns compliance from a reactive burden into a proactive, always-on advantage. We're tackling hard, meaningful problems at the intersection of AI, manufacturing, and global healthcare.
We're looking for bold, curious builders who want ownership, impact, and the chance to shape technology that truly matters.
## About the role
We are looking for an enthusiastic and skilled Machine Learning Engineer with early-career experience who understands the full machine learning lifecycle and has hands-on exposure to Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). The ideal candidate is passionate about building scalable AI systems, deploying real-world ML solutions, and applying MLOps best practices.
You'll design and implement scalable backend services, integrate machine learning models, and help shape intelligent systems that extract insights from complex data. This is a hands-on role where you'll be involved from strategy through execution.
## Key Responsibilities
- Develop, train, fine-tune, and evaluate machine learning and LLM-based models for production use cases.
- Build and optimize RAG pipelines, including data ingestion, chunking, embeddings, indexing, and retrieval.
- Integrate LLMs with vector databases and backend systems to support inference at scale.
- Implement ML pipelines using modern MLOps practices (CI/CD for ML, experiment tracking, deployment automation).
- Monitor model performance, manage versioning, and ensure reliability in production environments.
- Maintain clean, reproducible, and well-documented codebases.
## Required Skills
- Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related fields.
- Strong understanding of ML fundamentals (supervised/unsupervised learning, deep learning, NLP, statistics).
- Hands-on exposure to RAG architectures.
- Familiarity with LLMs and transformer-based models (e.g., GPT, LLaMA,).
- Experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers.
- Proficiency in Python and common ML/data libraries (NumPy, Pandas, Matplotlib).
- Practical knowledge of MLOps concepts.
- Familiar with Git and collaborative coding workflows.
## Nice-to-Have
- Experience with Docker, Kubernetes, or CI/CD for deployment.
- Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate)
- Contributions through Kaggle, open-source ML libraries, or academic projects.
## What We Offer
- Opportunity to build and shape next-generation AI solutions.
- Flexible work environment and autonomy.
- Competitive compensation and room for growth.
## Location
Hybrid; Bengaluru, Karnataka
## Experience
0-1 years
## Job Type
Contractual; Duration: 2 to 4 months with strong possibility for extension upto 1 year/Full Time role.
## To Apply
Email your CV and a short note on "Why Dheera? Why You?" to:
[email protected]
