Artificial Intelligence Engineer (Python)

2 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Contractual

Job Description

Company Description

Misfits Communications and Digital Services Pvt Ltd is looking for a Software Engineer with experience in Python coding and Artificial Intelligence.

Only candidates based out of Delhi-NCR need apply.

This is a contract job for 6 months.

As part of our interview process, we invite candidates to our office to demonstrate their problem-solving skills and understanding of AI engineering. You will be given a problem statement and asked to provide a logical solution. This includes developing a solution approach and may involve outlining a flow chart or pseudocode. The focus is on your ability to convey the correct logic and approach to the solution rather than writing syntactically perfect code.

Minimum experience: 2 years in Python plus AI (This excludes any internship experience gained during your study period of degree course)


Role Description

How you’ll contribute

1.    Design, implement, and deploy machine learning models, deep learning models, and AI-driven features within our SaaS platform.

2.    Work with large datasets, clean and preprocess data, and perform exploratory data analysis (EDA) to identify patterns and insights.

3.    Develop and select meaningful features for predictive models, ensuring high accuracy and efficiency.

4.    Partner with product managers, software engineers, and data scientists to ensure AI models meet business requirements and align with product roadmaps.

5.    Optimize models for performance, scalability, and real-time use cases in a production

environment.


Who you are

1.

2.    Proven experience in AI/ML engineering or related fields, ideally within a SaaS or cloud-based environment.

3.    Proven experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn,or Keras.

4.    Strong proficiency in Python (other languages such as R, Java, or C++ are a plus).

5.    Experience with cloud services like AWS, Azure, or Google Cloud Platform (GCP) for model deployment and scaling.

6.    Solid understanding of data structures, algorithms, and software engineering best practices.


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