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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Requirements:
- 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,
Responsibility:
- 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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