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
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
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
Benefits:
- Flexible schedule
- Leave encashment
- Paid sick time
- Provident Fund
Work Location: In person
