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AI Engineer

1 month ago

Anywhere in IndiaMultiple LocationsOverseasInternational Hiring Cliq Consultancy Services Full time

Job Title : AI Engineer

Location : Remote

Employment Type : Full-Time, Contractual

Notice Period : Immediate to 2 weeks

Company Overview :

Hiring Cliq Consultancy Services is a leading technology company renowned for its innovative contributions to the tech industry. We are at the forefront of AI advancements, and we're looking to expand our team with a skilled AI Engineer who has a focus on Machine Learning and Computer Vision. This role offers a unique opportunity to contribute to the development of AI-powered tools that will revolutionize the mobile coding ecosystem.

Role Overview :

As an AI Engineer, you will be instrumental in pushing the boundaries of AI within the coding ecosystem. Your primary focus will be on developing, training, and deploying machine learning models. You'll work on complex problems using cutting-edge technologies and algorithms, directly contributing to the next generation of coding assistance agents. This is an exciting opportunity for professionals eager to learn, innovate, and grow in a fast-paced environment.

Key Responsibilities :

- Machine Learning Model Development:

- Develop, train, and deploy machine learning models using TensorFlow and/or PyTorch.

- Implement machine learning models and preprocessing pipelines using Scikit-learn.

1. Algorithm Implementation :

- Apply supervised and unsupervised learning algorithms, including SVM, Decision Trees, Random Forest, and k-NN, to solve complex problems.

2. Deep Learning Architecture Design :

- Design and implement deep learning architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and transfer learning models.

3. Reinforcement Learning : Explore and apply reinforcement learning techniques to enhance AI solutions.

4. Collaboration : Work closely with a cross-functional team to integrate AI models into the mobile coding ecosystem.

5. Continuous Learning: Stay updated with the latest advancements in AI, machine learning, and deep learning technologies.

Job Requirements :

Education: Bachelor's or Master's degree in Engineering, Computer Science, or a related field.

Experience: At least 2+ years of experience as an AI-focused Engineer.

Minimum 1 year of experience with Python-based frameworks for machine learning.

Technical Skills:Proficiency in TensorFlow and/or PyTorch for model development and deployment.

Strong knowledge of Scikit-learn for machine learning model implementation.

In-depth understanding of supervised and unsupervised learning algorithms, as well as deep learning architectures like CNNs, RNNs, and GANs.

Communication Skills : Excellent spoken and written English communication skills, with the ability to articulate complex technical concepts clearly.


Nice to Have :

Experience with Keras for quick prototyping of deep learning models.

Proficiency in Pandas and Numpy for data manipulation and preprocessing.

Familiarity with Large Language Models (LLMs) and their applications in AI.

Why Join Us?


At Hiring Cliq Consultancy Services, we believe in fostering a collaborative and inclusive environment where innovation thrives. As a valued member of our team, you'll have opportunities for continuous learning, skill development, and career advancement. Join us in shaping the future of AI-powered tools and making a meaningful impact on the global coding community.

Company Overview :

Hiring Cliq Consultancy Services is a leading technology company that has been at the forefront of AI advancements. We're committed to hiring top talent who share our passion for innovation and excellence. As a member of our team, you'll have the opportunity to work on cutting-edge projects, collaborate with a talented group of professionals, and contribute to the development of AI-powered tools that will revolutionize the mobile coding ecosystem.

Role Overview :

As a Machine Learning Specialist, you will be responsible for developing, training, and deploying machine learning models using TensorFlow and/or PyTorch. You'll work on complex problems using cutting-edge technologies and algorithms, directly contributing to the next generation of coding assistance agents. This is an exciting opportunity for professionals eager to learn, innovate, and grow in a fast-paced environment.

Key Responsibilities :

- Machine Learning Model Development:

- Develop, train, and deploy machine learning models using TensorFlow and/or PyTorch.

- Implement machine learning models and preprocessing pipelines using Scikit-learn.

1. Algorithm Implementation :

- Apply supervised and unsupervised learning algorithms, including SVM, Decision Trees, Random Forest, and k-NN, to solve complex problems.

2. Deep Learning Architecture Design :

- Design and implement deep learning architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and transfer learning models.

3. Reinforcement Learning : Explore and apply reinforcement learning techniques to enhance AI solutions.

4. Collaboration : Work closely with a cross-functional team to integrate AI models into the mobile coding ecosystem.

5. Continuous Learning: Stay updated with the latest advancements in AI, machine learning, and deep learning technologies.

Job Requirements :

Education: Bachelor's or Master's degree in Engineering, Computer Science, or a related field.

Experience: At least 2+ years of experience as a Machine Learning Specialist.

Minimum 1 year of experience with Python-based frameworks for machine learning.

Technical Skills:Proficiency in TensorFlow and/or PyTorch for model development and deployment.

Strong knowledge of Scikit-learn for machine learning model implementation.

In-depth understanding of supervised and unsupervised learning algorithms, as well as deep learning architectures like CNNs, RNNs, and GANs.

Communication Skills : Excellent spoken and written English communication skills, with the ability to articulate complex technical concepts clearly.