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Machine Learning Engineer

5 - 8 years

0 Lacs

Pune Maharashtra India

Posted:17 hours ago| Platform: Linkedin logo

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Skills Required

learning testing engineering software deployment devops automation api mobile salesforce analytics ai training ml design data processing openai model reliability versioning mlflow programming development evaluation tracking management aws sagemaker azure gcp vertex communication teamwork

Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

AppTestify is a leading provider of On-Demand Testing and Digital Engineering Services, delivering scalable solutions for businesses of all sizes. As a renowned software engineering and QA services provider, AppTestify enables faster deployment of superior software. With over 100 Engineers, the company has served more than 120 clients globally. Their expertise includes DevOps, automation testing, API testing, functional testing, mobile testing, Salesforce application testing, and comprehensive digital engineering solutions.


Job Title:

Experience:

Location:


Machine Learning Engineers

Key Responsibilities:

  • Design, develop, and deploy machine learning models for real-world applications. 
  • Implement and optimize end-to-end ML pipelines using

    PySpark

    and

    MLflow

    . 
  • Work with structured and unstructured data using

    Pandas

    ,

    NumPy

    , and other data processing libraries. 
  • Train and fine-tune models using

    scikit-learn

    ,

    TensorFlow

    , or

    PyTorch

    . 
  • Integrate and experiment with

    Large Language Models (LLMs)

    such as

    OpenAI GPT

    ,

    Hugging Face Transformers

    , etc. 
  • Collaborate with cross-functional teams including data engineers, product managers, and software developers. 
  • Monitor model performance and continuously improve model accuracy and reliability. 
  • Maintain proper versioning and reproducibility of ML experiments using MLflow. 

Required Skills:

  • Strong programming experience in

    Python

    . 
  • Solid understanding of

    machine learning algorithms

    , model development, and evaluation techniques. 
  • Experience with

    PySpark

    for large-scale data processing. 
  • Proficient with

    MLflow

    for tracking experiments and model lifecycle management. 
  • Hands-on experience with

    Pandas

    ,

    NumPy

    , and

    Scikit-learn

    . 
  • Familiarity or hands-on experience with

    LLMs

    (e.g.,

    OpenAI

    ,

    Hugging Face Transformers

    ). 
  • Understanding of MLOps principles and deployment best practices. 

Preferred Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. 
  • Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. 
  • Strong analytical and problem-solving abilities. 
  • Excellent communication and teamwork skills. 


Apply directly - https://hrms.apptestify.com/apply/688c7ed095f9ce582a3a224a

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