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Artificial Intelligence Engineer

MYCPE ONE
Ahmedabad
2 - 5 Years

Posted on: 17/09/2025

Job Description

About the Company :


We are an outsourcing firm and we provide our financial services to US, Canada, UK, Australia and New Zealand.

Speaking of the strength of the company, we are a 2000+ employee organization and we are currently hiring for Associates & Senior Associates for our US domain.

We are headquartered in Ahmedabad, but we have our branches in 13-14 other different cities as well all over India.

Profile Summary :


We are seeking an AI Engineer with strong technical skills and a passion for building practical, impactful AI solutions.

This role is ideal for professionals looking to contribute to cutting-edge AI projects in a flexible capacity.

You will collaborate with senior AI architects and cross-functional teams to design, develop, and deploy scalable AI/ML models and tools that solve real-world business problems.

Key Responsibilities :


- Develop and implement AI/ML models using frameworks such as PyTorch, TensorFlow, or Keras.

- Assist in building AI-enabled services, pipelines, and APIs for integration with enterprise systems.

- Support data preprocessing, feature engineering, model training, and evaluation tasks.

- Collaborate with data engineers, analysts, and stakeholders to gather requirements and iterate on model performance.

- Document code, workflows, and AI solution designs for maintainability and reproducibility.

- Contribute to proof-of-concept projects and help transition models into production using MLOps tools.

- Stay updated with the latest AI trends, tools, and techniques.

Required Qualifications :


- Graduates from premier institutions such as IITs, BITS Pilani, ISI Kolkata, or DA-IICT are strongly preferred.

- Bachelors or Masters degree in Computer Science, Data Science, or a related field.

- 2+ years of experience in machine learning or applied AI development.

- Proficiency in Python and familiarity with core libraries like scikit-learn, pandas, NumPy, etc.

- Hands-on experience with at least one deep learning framework (e.g., PyTorch, TensorFlow).

- Knowledge of NLP techniques, time series modeling, or computer vision is a plus.

- Comfortable working with version control systems like Git and cloud-based environments (e.g., AWS,GCP, or Azure).


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