Data Scientist

Jobskey Search and Selection; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A technology recruiting firm is seeking a Data Scientist in Hyderabad, India, to lead the development of cutting-edge generative AI models. The ideal candidate will have at least 3 years of experience in machine learning and deep learning, proficient in technologies such as PyTorch and TensorFlow. Responsibilities include designing applications using large language models and optimizing model performance based on metrics. A great opportunity for those passionate about AI and data science.

Qualifications

• Minimum 3 years of hands-on experience in Machine Learning and Deep Learning development.
• At least 1 year of experience with LLMs and Generative AI technologies.
• Strong command of either TensorFlow or PyTorch frameworks.
• Robust knowledge in Natural Language Processing tools.

Responsibilities

• Design and implement generative AI models and algorithms.
• Lead the development lifecycle of machine learning models.
• Develop applications harnessing Large Language Models.
• Collaborate with stakeholders to translate business requirements into machine learning solutions.
• Optimize large language models to enhance performance metrics.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Model Optimization

Statistical Analysis

Education

B. Tech

MCA with specialization in AI/ML or Computer Science

Tools

PyTorch

TensorFlow

NLTK

Spacy

LangChain

Job description

Develop and Implement Cutting-Edge Generative AI Models:

Spearhead the design and implementation of state-of-the-art generative AI models and algorithms using cutting‑edge technologies such as PyTorch, Hugging Face, Spark, and LangChain.

End-to-End Machine Learning Model Development:

Lead the development lifecycle of machine learning models, ensuring a comprehensive approach from initial design through training, evaluation, validation, to seamless implementation.

Application Development with Advanced Models:

Design and develop applications that harness the power of Large Language Models (LLMs) and Feature Models (FMs), contributing to the creation of innovative and impactful solutions.

Develop strategic predictive models and algorithms to provide robust support for crucial business decision‑making processes.

Collaborate closely with stakeholders to understand business requirements and translate them into effective and impactful machine learning solutions.

Engage effectively with stakeholders, ensuring alignment between technical developments and business goals.

Expertise in Model Optimization and Fine‑Tuning:

Bring hands‑on experience in optimizing and fine‑tuning large language models, focusing on enhancing performance metrics such as speed, latency, memory utilization, and throughput.

Stay at the forefront of optimization techniques and implement them judiciously to ensure optimal model efficiency.

Required Qualifications of the Data Scientist:

Experience:

• Possess a minimum of 3 years of hands‑on experience in the development of Machine Learning and Deep Learning algorithms.
• Demonstrate a proficiency of at least 1 year working with technologies including Large Language Models (LLMs), Generative AI (Gen AI), Langchain, EmbedChain, and Transformers.
• Showcase expertise in developing neural networks, with a strong command of either TensorFlow or PyTorch frameworks.
• Exhibit a robust knowledge base in Natural Language Processing (NLP), encompassing tools such as NLTK, Spacy, and expertise in models like BERT and SBERT.
• Proficient in forecasting technologies, showcasing expertise in Bayesian and Time Series algorithms.

Education:

Must be B. Tech and MCA with specialization of AI/ML or Computer Science, good in Statistics, Data Science, Mathematics