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
Stay updated with the latest advancements in AI/ML and apply them when relevant
Required Skills \& Qualifications
Strong programming skills in Python (preferred), or Java/Scala
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
AWS
Google Cloud Platform
Microsoft Azure
Understanding of MLOps tools (Docker, Kubernetes, CI/CD pipelines)
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
Work Location: In person
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