Software Engineer

Associate 2 - Engineer (AI Hub - GDC)

Roles & responsibilities

Here are some of the key responsibilities of Data Scientist:

1. Model Development Support: You will support the design, development, and implementation of generative AI models and systems. This involves understanding the problem domain, assisting in selecting appropriate models, helping in training them on large datasets, and fine-tuning hyperparameters under supervision.

 

2. Algorithm Support: You will assist in optimizing generative AI algorithms to improve their efficiency, scalability, and computational performance. This may involve learning about parallelization, distributed computing, and hardware acceleration techniques.

 

3. Data Preprocessing and Feature Engineering: You will assist in working with large datasets, preprocess them, and perform feature engineering to extract relevant information for generative AI models. This includes learning about data cleaning, normalization, dimensionality reduction, and feature selection.

 

4. Model Evaluation and Validation: You will assist in evaluating the performance of generative AI models using appropriate metrics and validation techniques. This involves conducting experiments, analyzing results, and iteratively refining models under the guidance of senior team members.

 

5. Collaboration and Teamwork: You will collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather feedback, and integrate generative AI models into larger systems or applications.

 

6. Learning and Development: As an associate, you will focus on learning and developing your skills in generative AI. This includes receiving mentoring, having your work reviewed, and gaining hands-on experience.

 

7. Documentation and Reporting: You will assist in documenting work, including model architectures, methodologies, and experimental results. You may also be responsible for preparing reports under supervision.

Mandatory  technical & functional skills

·Scientific understanding of Machine Learning models – Decision Tree, Random Forest, XGBoost, etc. , Deep Learning – LSTM, RNN, CNN and NLP Algorithms·Hands on experience with Frameworks - TensorFlow or PyTorch.·Hands on experience with LLM’s (OpenAI, HuggingFace)

Brief experience working with GenAI frameworks - LangChain/LlamaIndex /LlamaPrase/LlamaCloud

Preferred technical & functional skills

—Relevant AI certifications in GCP, Azure or AWS

Key behavioral attributes/requirements

—Ability to own project deliverables, not just individual tasks—Understand business objectives and functions to support data needs

Roles & responsibilities

Here are some of the key responsibilities of Data Scientist:

1. Model Development Support: You will support the design, development, and implementation of generative AI models and systems. This involves understanding the problem domain, assisting in selecting appropriate models, helping in training them on large datasets, and fine-tuning hyperparameters under supervision.

 

2. Algorithm Support: You will assist in optimizing generative AI algorithms to improve their efficiency, scalability, and computational performance. This may involve learning about parallelization, distributed computing, and hardware acceleration techniques.

 

3. Data Preprocessing and Feature Engineering: You will assist in working with large datasets, preprocess them, and perform feature engineering to extract relevant information for generative AI models. This includes learning about data cleaning, normalization, dimensionality reduction, and feature selection.

 

4. Model Evaluation and Validation: You will assist in evaluating the performance of generative AI models using appropriate metrics and validation techniques. This involves conducting experiments, analyzing results, and iteratively refining models under the guidance of senior team members.

 

5. Collaboration and Teamwork: You will collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather feedback, and integrate generative AI models into larger systems or applications.

 

6. Learning and Development: As an associate, you will focus on learning and developing your skills in generative AI. This includes receiving mentoring, having your work reviewed, and gaining hands-on experience.

 

7. Documentation and Reporting: You will assist in documenting work, including model architectures, methodologies, and experimental results. You may also be responsible for preparing reports under supervision.

Mandatory  technical & functional skills

·Scientific understanding of Machine Learning models – Decision Tree, Random Forest, XGBoost, etc. , Deep Learning – LSTM, RNN, CNN and NLP Algorithms·Hands on experience with Frameworks - TensorFlow or PyTorch.·Hands on experience with LLM’s (OpenAI, HuggingFace)

Brief experience working with GenAI frameworks - LangChain/LlamaIndex /LlamaPrase/LlamaCloud

Preferred technical & functional skills

—Relevant AI certifications in GCP, Azure or AWS

Key behavioral attributes/requirements

—Ability to own project deliverables, not just individual tasks—Understand business objectives and functions to support data needs

This role is for you if you have  the below

Educational qualifications

-Bachelor’s or Master’s degree in Computer Science

Work experience

•2 to 4 Years of Experience

Experience Level

Mid Level