Job Description

Data Scientist Profile

Understanding of large language model (LLM) architecture and deep learning model design using PyTorch.

Experience in training large-scale language models from scratch and fine-tuning pre-trained models.

Skilled in preprocessing textual data for natural language processing.

Proficiency in applying transfer learning techniques to adapt existing LLMs.

Skills in designing data annotation strategies and evaluating model performance.

Experience in scaling LLMs for production environments.

Complete cycle of training, fine-tuning, and validating language models.

Exploration of new technologies and methodologies in language model development.

Understanding of algorithms for LLM alignment and data retrieval from unstructured data. Understanding of LangChain, LlamaIndex and other LLM SIs.

Analyzing data and identifying patterns; proficient in deep learning, NLP, TensorFlow, and similar libraries.

Required Qualifications

8+ years of experience in developing and deploying Large Language Models.

2+ year experience in handling small to mid-size AI/ML teams.

Thorough understanding of machine learning, deep learning techniques, and neural network architectures.

Proficiency in AI technology, Python, NLP libraries, and text classification.

Experience with PyTorch, Tensorflow, cloud services (AWS, Azure), and ML deployment tool Docker.

Familiarity with model fine-tuning and optimization techniques for LLMs.

Strong communication skills.

Good To Have Qualifications

4+ years' experience in data analytics, data science, and quantitative analysis.

Experience in Python development for data applications and with unstructured data or computer vision models.

Experience with SQL and Scikit and designing for security critical applications.

Basic experience with Linux, Git, Jupyter Notebooks, and Agile development practices.

Experience with distributed computational techniques and job orchestration tools and platforms.

Job Types: Full-time, Permanent

Pay: ?358,867.74 - ?1,141,489.40 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Supplemental Pay:

• Performance bonus
• Yearly bonus

Experience:

• total work: 4 years (Required)

Work Location: In person