Data Scientist- AI/ML

7 hours ago

Noida, Uttar Pradesh, India ALIQAN Technologies Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Role Summary: Looking for one data scientist engineer with Strong experience in AI/ML, Data collection preprocessing, estimation, Architecture creation

  • Exp- 6 to 10 Years
  • Base Location: Noida, but flexible to travel, coming to office is mandate twice in a week
  • 6 Months Contract+ Extendable.

If Interested can share your resume at

Responsibility:

  1. Model Development: Design and implement ML models to tackle complex business challenges.
  2. Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features.
  3. Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods.
  4. Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability.
  5. Deployment: Deploy ML models in production, monitor performance for reliability.
  6. Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions.
  7. Research: Stay updated on ML/AI advancements, contribute to internal knowledge.
  8. Documentation: Maintain comprehensive documentation for all ML models and processes.

Qualification - Bachelor's or master's in computer science, Machine Learning, Data Science, or a related field and must be experience of 6-10 years.

Desirable Skills:

Must Have:

  • 1. Experience in timeseries forecasting, regression Model, Classification Model
  • 2. Python , R, Data analysis
  • 3. Large size data handling with Panda , Numpy and Matplot Lib
  • 4. Version Control: Git or any other
  • 5. ML Framework: Hands on exp in Tensorflow, Pytorch, Scikit-Learn, Keras
  • 6. Good knowledge on Cloud platform and ( AWS/ AZure/ GCP), Docker kubernetis
  • 7. Model Selection, evaluation, Deployment, Data collection and preprocessing, Feature engineering
  • Estimation

Good to Have

  • Experience with Big Data and analytics using technologies like Hadoop, Spark, etc.
  • Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks.
  • BFSI and banking domain

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