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Machine Learning Engineer / Generative AI Engineer
QUARKS TECHNOSOFT PRIVATE LIMITEDBangalore10 days ago
Job description3-5 years of industry experience in Machine Learning, AI, or Applied Data Science roles. Hands-on experience with LLMs, embeddings, vector search, and RAG architectures. Exposure to production-grade ML systems, including Docker, FastAPI, Airflow, or MLflow. Solid understanding of ML evaluation, feature engineering, and model monitoring in real-world systems. Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Data Science, or related field.
Location : Bangalore, India
Experience : 3-5 Years
Work Mode : Hybrid (2-3 days in-office)
Notice Period : Immediate joiners or those who can join within 15 days
What You'll Work On :
- Design and build end-to-end ML pipelines : data preprocessing, feature engineering, model training, and deployment.
- Develop and optimize distributed data processing workflows using Spark / PySpark.
- Build and scale deep learning models for structured and unstructured data (text, images, etc.).
- Work with LLMs, RAG pipelines, and vector databases for GenAI use cases.
- Collaborate with cross-functional teams (Data Scientists, MLOps, Product) to ship models to production.
- Implement CI / CD for ML models and maintain model versioning and monitoring systems.
- Conduct experiments, model tuning, and performance evaluations using large-scale datasets.
- Stay updated on the latest trends in ML, GenAI, and distributed systems to drive innovation.
Required Skills :
Education :
ref : hirist.tech)
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Machine Learning Engineer • Bangalore