About the Role
We are looking for a passionate and analytical Machine Learning Engineer to design develop and deploy intelligent solutions that solve real-world problems.
Youll work closely with data scientists and developers to build and optimize machine learning models automate workflows and contribute to scalable AI applications.
Key Responsibilities
Design and implement machine learning algorithms for predictive and analytical tasks.
Collect clean and preprocess structured and unstructured data.
Train test and fine-tune ML/DL models using frameworks such as TensorFlow PyTorch or Scikit-learn.
Work with engineering teams to integrate models into production environments.
Evaluate model performance and continuously improve accuracy and efficiency.
Document model architecture data sources and experimental results.
Stay updated with the latest advancements in AI and data science.
Qualifications & Skills
Bachelors or Masters degree in Computer Science Data Science AI/ML or a related field.
Strong programming knowledge in Python R or Java.
Experience with TensorFlow PyTorch Keras Scikit-learn NumPy and Pandas.
Understanding of data preprocessing feature engineering and model evaluation techniques.
Familiarity with SQL / NoSQL databases and cloud services (AWS GCP Azure).
Good problem-solving skills and attention to detail.
Freshers with relevant project or internship experience are welcome.
What We Offer
Competitive salary and growth opportunities.
Exposure to live AI/ML projects and real-time data challenges.
Collaborative environment with mentorship from experienced data scientists.
Access to cutting-edge technologies and research tools.
Flexible work setup and continuous learning support.
Required Skills:
machine learningdataml
About the RoleWe are looking for a passionate and analytical Machine Learning Engineer to design develop and deploy intelligent solutions that solve real-world problems.Youll work closely with data scientists and developers to build and optimize machine learning models automate workflows and contri...
About the Role
We are looking for a passionate and analytical Machine Learning Engineer to design develop and deploy intelligent solutions that solve real-world problems.
Youll work closely with data scientists and developers to build and optimize machine learning models automate workflows and contribute to scalable AI applications.
Key Responsibilities
Design and implement machine learning algorithms for predictive and analytical tasks.
Collect clean and preprocess structured and unstructured data.
Train test and fine-tune ML/DL models using frameworks such as TensorFlow PyTorch or Scikit-learn.
Work with engineering teams to integrate models into production environments.
Evaluate model performance and continuously improve accuracy and efficiency.
Document model architecture data sources and experimental results.
Stay updated with the latest advancements in AI and data science.
Qualifications & Skills
Bachelors or Masters degree in Computer Science Data Science AI/ML or a related field.
Strong programming knowledge in Python R or Java.
Experience with TensorFlow PyTorch Keras Scikit-learn NumPy and Pandas.
Understanding of data preprocessing feature engineering and model evaluation techniques.
Familiarity with SQL / NoSQL databases and cloud services (AWS GCP Azure).
Good problem-solving skills and attention to detail.
Freshers with relevant project or internship experience are welcome.
What We Offer
Competitive salary and growth opportunities.
Exposure to live AI/ML projects and real-time data challenges.
Collaborative environment with mentorship from experienced data scientists.
Access to cutting-edge technologies and research tools.
Flexible work setup and continuous learning support.
Required Skills:
machine learningdataml
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