Key Responsibilities Design, build, and deploy machine learning models (supervised, unsupervised, deep learning) Develop and optimize data pipelines for model training and inference Implement and maintain production-ready ML systems (MLOps) Work with large datasets: data cleaning, feature engineering, transformation Evaluate model performance and continuously improve accuracy and efficiency Collaborate with cross-functional teams to integrate ML solutions into products Required Skills & Qualifications Strong programming skills in Python (preferred), or Java/Scala Experience with ML frameworks: TensorFlow PyTorch scikit-learn Solid understanding of algorithms: regression, classification, clustering, NLP, deep learning Knowledge of statistics and probability Experience with data handling tools: Pandas,
NumPy, SQL Familiarity with cloud platforms: AWS Google Cloud Platform Microsoft Azure Understanding of MLOps tools (Docker, Kubernetes, CI/CD pipelines)
Preferred Qualifications Experience with NLP, Computer Vision, or Generative AI Knowledge of big data tools (Spark, Hadoop) Experience with APIs and microservices architecture Familiarity with model monitoring and deployment frameworks
Pay: Up to ₹1,500,000.00 per year
Perks :
- Flexible schedule
- Leave encashment
- Paid sick time
- Provident Fund