13 Aug
|
Digitide
|
Bengaluru
13 Aug
Digitide
Bengaluru
Note : Only Immediate Joiners.
Job Description: Machine Learning Engineer (4-6 Years Experience)
Experience: 4-6 Years
Employment Type: Full-Time
About the Role
We are looking for a passionate and hands-on Machine Learning Engineer with 46 years of experience to design, develop, deploy, and optimize scalable AI/ML solutions. The ideal candidate has solid software engineering fundamentals, experience building production-grade ML systems, and expertise deploying machine learning models on Microsoft Azure.
Key Responsibilities
- Design, build, train, validate, and optimize ML models.
- Develop feature engineering and data preprocessing pipelines.
- Deploy ML models as scalable APIs and production services.
- Build batch and real-time inference pipelines.
- Implement CI/CD and MLOps workflows using MLflow and GitHub Actions/Azure DevOps.
- Monitor model performance, drift, and retraining.
- Collaborate with Product Managers, Data Scientists, and Software Engineers.
- Write clean, testable Python code and participate in code reviews.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or related field.
- 4–6 years of experience in Machine Learning Engineering.
- Experience building production-grade ML applications.
Required Technical Skills
Programming: Python, SQL, Git, Bash
Machine Learning:
- Scikit-learn
- XGBoost
- LightGBM
- TensorFlow or PyTorch
- Feature Engineering
- Hyperparameter Optimization
- Model Evaluation
Data Processing:
- Pandas
- NumPy
- PySpark
- Apache Spark
Generative AI:
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector Databases
- LangChain or LlamaIndex
- AI Agent Frameworks (CrewAI, AutoGen, Semantic Kernel, LangGraph)
MLOps:
- MLflow
- Docker
- Kubernetes
- GitHub Actions or Azure DevOps Pipelines
- Model Registry
- Model Monitoring
- Feature Store
Cloud:
- Microsoft Azure (Azure ML, Azure OpenAI, AKS, Blob Storage)
Data
📌 Machine Learning Engineer (Bengaluru)
🏢 Digitide
📍 Bengaluru