Data Science- AI/ML

About the Company:

ARA's client is a leading IT solutions provider, offering Applications, Business Process Outsourcing (BPO) and Infrastructure services globally through a combination of technology know how, domain, and process expertise. Recently, it has been felicitated by the Economic Times as the most distinguished digital company of 2015. It has also been ranked 29th among the 100 largest financial technology vendors by American Banker and BAI in the FinTech Forward Top 100 rankings.

The Role:

As an Artificial Intelligence Engineer, you will play a crucial role in designing, developing, and deploying AI systems. Your work will involve translating complex data into AI-driven solutions that can operate autonomously in real-time environments. You'll be responsible for writing code, deploying models to production, and continuously monitoring and updating them as needed.

Key Responsibilities:

Algorithm Development: Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes.

Model Creation: Develop and validate algorithms, neural networks, and other machine learning models.

Generative AI: Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music.

Machine Learning: Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation.

Natural Language Processing (NLP): Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT.

Data Management: Handle data pre-processing, augmentation, and synthetic data generation.

Skills Required:

Hard Skills

Advanced Programming: Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras.

Generative Models: Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).

NLP: Familiarity with NLP techniques for text generation.

Data Management: Knowledge of data pre-processing, augmentation, and synthetic data generation.

Soft Skills

Creativity: Ability to think creatively and solve complex, creative challenges using AI.

Collaboration: Work effectively with researchers, engineers, and other team members.

Continuous Learning: Stay updated with evolving AI technologies and applications.

Qualifications & Experience:

7+ years of experience

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields.

Proven experience in machine learning and generative AI.