Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-2 brand, Bengaluru location, mid-level ML role with broad CV/NLP and deployment skills increases competition.
ML, NLP, CV and model deployment skills are broadly transferable across industries.
Explicit 2-5 years requirement plus mandatory ML, Python and deployment skills enforces moderate filtering.
Develop, deploy, and optimize machine learning models for prediction and forecasting on tabular and text data.
Build and maintain end-to-end ML pipelines including model training, evaluation, deployment, and performance monitoring in production.
Collaborate with cross-functional teams to translate business requirements into data-driven solutions and document methodologies for technical and non-technical stakeholders.
2-5 years of hands-on experience in developing and deploying machine learning projects.
Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related field.
Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
Experience with model deployment tools (Docker, Flask, FastAPI) or cloud ML services (AWS SageMaker, GCP Vertex AI).
Experience working with both structured and unstructured data and performing feature engineering and EDA.
Exposure to Computer Vision (OpenCV, YOLO) and NLP/LLMs (Hugging Face, GPT, BERT) is a significant advantage.
Familiarity with MLOps practices including CI/CD pipelines and model monitoring frameworks (e.g., MLFlow).