Job Summary:

• Role: Machine Learning Engineer with a focus on deploying scalable ML models.
• Experience: 1–2 years in ML/AI with solid industry experience.
• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, Statistics, or related fields.

Key Responsibilities:

• Design, develop, and deploy robust machine learning models for real-world applications.
• Perform data collection, cleaning, transformation, and feature engineering.
• Train and optimize ML models using hyperparameter tuning and evaluation metrics.
• Use metrics like accuracy, precision, and recall to evaluate and improve model performance.
• Stay updated with ML research and apply innovative solutions to business problems.

Technical Requirements:

• Proficiency in Python and ML libraries like PyTorch, TensorFlow, and Scikit-learn.
• Understanding of data modeling, statistical analysis, and ML algorithms.
• Experience in NLP and/or Computer Vision is required.
• NLP: Knowledge of RNNs, transformers, NER, recommendation, and retrieval systems.
• CV: Hands-on with VLMs (ViT, CLIP, SAM, YOLOv7/v8), and multimodal models like BLIP-2.
• Deployment experience using FastAPI, Triton, TorchServe, or TensorFlow Serving.

Selection Process:

• Apply only via Jigya—external submissions will not be considered.
• Shortlisted applicants will take an online assessment conducted by Jigya.
• Successful candidates will be interviewed by the KnowDis.ai team.