AI/ML Engineer
3 days ago
Job Title: AI/ML Engineer
Experience:
3+ years
Location:
Ahmedabad, India
Type
: Full-time (Work from Office)
Job Description:
We are looking for passionate and skilled AI/ML Engineers to join our dynamic team. As an AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning models, AI-based solutions, and data-driven algorithms to solve complex business problems. If you have a solid foundation in AI/ML technologies and are eager to work in a collaborative and innovative environment, we would love to hear from you
Key Responsibilities:
• Work on data preprocessing, feature engineering, and model selection.
• Apply AI/ML techniques to large datasets to generate actionable insights.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes.
• Continuously improve the performance of AI/ML models by experimenting with new approaches and technologies.
• Evaluate the effectiveness and accuracy of AI/ML models and adjust based on results.
• Conduct data analysis and prepare reports to communicate findings to stakeholders.
• Stay updated with the latest advancements in AI/ML technologies and incorporate them into the development process.
Skills & Qualifications:
• Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of hands-on experience in machine learning, deep learning, and artificial intelligence.
• Strong proficiency in programming languages such as Python, R, or Java.
• Experience with ML frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn.
• Solid understanding of machine learning algorithms like regression, classification, clustering, etc.
• Familiarity with data analysis and visualization tools
• Experience working with big data platforms (e.g., Hadoop, Spark) is a plus.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Excellent communication skills to explain complex concepts to non-technical stakeholders.
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