About the Role
We are looking for a hands-onAI/ML Engineerwho can take an idea from concept to deployment. You willbe responsible fordesigning, developing, training, testing, and integrating machine learning models into core systems.
This role requires a versatile professional skilled in data science, software engineering, andMLOpsto deliver end-to-end AI solutions that support businessobjectives.
Key Responsibilities
Data & Model Development
- Collect, clean, and preprocess data for training and testing.
- Design and develop machine learning models (classical ML or deep learning).
- Train, tune, andvalidatemodels using real-world datasets.
- Conduct performance testing and error analysis.
System Integration
- Develop APIs or services to integrate the model into the main product or platform.
- Collaborate with backend and frontend developers to embed AI functionality.
- Ensure efficient inference and scalability in production environments.
MLOps& Deployment
- Package and deploy models (e.g., via Docker,FastAPI, or cloud ML services).
- Set up monitoring for model accuracy, drift, and system performance.
- Maintain version control for models and data pipelines.
Collaboration & Documentation
- Work closely with the Product Manager to translate business goals into technical solutions.
- Document models, datasets, and architecture decisions.
- Communicate findings and results clearly to non-technical stakeholders.
Qualifications
- Bachelor's orMaster's degree in Computer Science, Data Science, AI/ML, ora relatedfield.
- 3+ years of experience in applied machine learning or AI engineering.
- StrongproficiencyinPythonand frameworks such asTensorFlow,PyTorch, or Scikit-learn.
- Experience building and deploying APIs (e.g.,FastAPI, Flask, Node).
- Familiarity withcloud services(AWS, GCP, Azure) orcontainerization(Docker, Kubernetes).
- Practical knowledge ofdata pipelines(ETL, data versioning, labeling tools).
- Strong understanding ofmodel evaluationandperformance tuning.
Bonus Skills
- Experience withLLMs,prompt engineering, orLangChain.
- Familiarity withvector databases(Pinecone, FAISS, Milvus).
- Exposure tofrontend frameworks(React, Vue) for prototyping.
- Understanding ofdata security and compliancein regulated domains (e.g., fintech, healthcare).
What We Offer
- Opportunity to develop and deploy AI solutions end-to-end.
- Autonomy in technical design and implementation.
- Direct impact on key business initiatives.
- Collaborative environment with continuous learning opportunities.
