Artificial Intelligence/Machine Learning Developer

1 month ago


Coimbatore, India PROCONNXT CONSULTANT Full time

Job Title : AI/ML Developer

Experience : 4-5 Years

Budget: - 6-12 LPA

Location: Coimbatore

Work Schedule : Day Shift, Monday to Friday

Job Summary :

We are seeking a highly skilled AI/ML Developer with 4-5 years of experience to join our team in Coimbatore. The ideal candidate will have strong expertise in implementing Artificial Intelligence, Machine Learning, and Deep Learning algorithms, with proficiency in Natural Language Processing (NLP), Generative AI, and Prompt Engineering. This position will also require full-stack development skills, taking solutions from concept to production.

Key Responsibilities :

- Design and implement AI/ML and deep learning algorithms to solve business challenges.

- Develop and fine-tune NLP models, Generative AI, and Prompt Engineering solutions.

- Collaborate with cross-functional teams to integrate AI/ML components into larger systems.

- Play an active role in full-stack development and take AI/ML solutions to production environments.

- Implement computer vision solutions using OpenCV and machine learning models using frameworks like scikit-learn, KERAS, and TensorFlow.

- Utilize Python for data processing and AI model development.

- Manage databases including MySQL, NoSQL, and BigData for model data storage and retrieval.

- Use Git for version control and collaboration across teams.

Qualifications :

- Bachelor's degree in Software Engineering, Information Technology, or a related field.

- 4 to 5 years of experience in AI/ML development, with a proven track record of taking solutions to production.

- Proficiency in OpenCV, scikit-learn, KERAS, and TensorFlow.

- Strong hands-on experience with Python and working knowledge of MySQL, NoSQL, and BigData.

- Familiarity with version control systems, particularly Git.

Desired Skills :

- Experience in GPU programming for accelerated AI model training.

- Experience with Scalable Cloud Deployment Architecture.

- Familiarity with cloud computing platforms like AWS, Azure, or GCP.

- Experience with CI/CD pipelines, including MLOps for continuous integration and deployment of machine learning models.

(ref:hirist.tech)

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