Altera Digital Health Hiring Drive 2024 For MS Systems Analyst | Location Baroda

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Altera Digital Health Hiring Drive 2024: Altera Digital Health  Hiring Drive 2024 for its MS Systems Analyst. Altera Digital Health Drive organizes off-campus drives for candidates in any batch. To apply candidates should have a Bachelor’s or Master’s degree in Computer Science, or a related field. if you are interested, please apply as soon as possible.

Company Name: Altera Digital Health 

Role: MS Systems Analyst

Location: Baroda

Experience: 2+ years

Qualification: Bachelor’s or Master’s degree in Computer Science, or a related field

Batch: Any

Job Type: Full Time

Salary: 5.0 to 6.0 LPA ( Expected)

Altera Digital Health Hiring Drive 2024 

Job Description:

  • We are looking for a AI /ML developer to join our team.
  • The ideal candidate should have a strong background in statistics, programming, and data science.
  • The candidate should be able to design and develop machine learning systems, implement appropriate ML algorithms, conduct experiments, and stay updated with the latest developments in the field.
  • The candidate should also be able to work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance.
  • The candidate should have experience with SQL, R, and Python, and other machine learning frameworks.

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  • Bachelor’s or Master’s degree in Computer Science, or related field
  • Must be willing to work in shifts
  • Strong background in statistics, programming, and data science
  • 2+ years of working experience with R and Python, and other machine learning frameworks
  • Some extended knowledge in Word processing, reading words, extracting words from text content.
  • Experience working with MS SQL Server and SQL Queries using SSMS and Azure Data Studio
  • Knowledge of Azure Cloud Fundamentals
  • Use the latest any one of these tools like Jupyter Notebook and Visual Studio Code, alongside frameworks like TensorFlow, and Scikit-Learn.
  • Strong experience with object-oriented/object function scripting languages: R and Python
  • Ability to quickly prototype ideas and solve complex problems
  • Knowledge of data pipeline and workflow management tools,


  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets that could be used for training
  • Defining validation strategies
  • Defining the preprocessing or feature engineering to be done on a given dataset
  • Defining data augmentation pipelines
  • Training models and tuning their hyperparameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production

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