Data Scientist

3 weeks ago

Anywhere in IndiaMultiple Locations Primo Hiring Solutions Full time

Job Description :


The Data Scientist role at Maxim is a high-impact, self-directed role and covers a broad scope of work across RAG, fine-tuning LLMs, synthetic data generation and more. This role involves keeping up-to-date with the latest advancements in LLM technologies and research, and utilizing these advancements to enable AI developers in crafting more magical experiences.

Key Responsibilities :

- Research and Analysis : Conduct research and analysis to understand customer requirements and challenges in implementing Large Language Models (LLMs) for various applications.

- Model Development : Develop and implement machine learning models, including LLMs, tailored to meet customer needs and industry-specific use cases.

- Optimization and Fine-Tuning : Optimize and fine-tune machine learning models for improved performance, accuracy, and efficiency, leveraging techniques such as hyperparameter tuning, transfer learning, and reinforcement learning.

- Deployment and Integration : Deploy machine learning models into production environments, ensuring seamless integration with existing systems and infrastructure.

- Testing and Validation : Conduct rigorous testing and validation of machine learning models to ensure reliability, scalability, and robustness in real-world scenarios.

- Performance Monitoring : Monitor and analyze the performance of deployed models, identifying opportunities for optimization and improvement.

- Collaboration and Communication : Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to gather requirements, iterate on solutions, and communicate progress and findings effectively.

- Documentation and Reporting : Document model development processes, methodologies, and findings, and prepare comprehensive reports and presentations for internal stakeholders and customers.

- Continuous Learning and Innovation : Stay updated on the latest advancements in machine learning and natural language processing (NLP), and explore innovative approaches and techniques to enhance model performance and capabilities.

Desired Skills and experience :

- Bachelor's/Master's/Ph.D. degree in Engineering, Machine Learning, Computer Science (or equivalent experience)

- At least 5+ years of relevant experience as an AI Developer

- Should have deep knowledge in machine learning techniques and algorithms, with a focus on natural language processing (NLP) and large language models (LLMs).

- Strong programming skills and proficiency in Python, TensorFlow/PyTorch, Transformers, scikit-learn, NLTK, and spaCy.

- Experience with language modeling evaluation, prompt tuning and engineering, instruction tuning, and/or RLHF

- Prior experience with training and fine-tuning of foundation models such as GPT-3, LLaMA2, AlphaFold, and DALL-E

- Knowledge of deep learning architectures, including recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models.

- Experience in Information Extraction, Question Answering, Conversational Agents (Chatbots), Data Visualization and/or text-to-image models

- Familiarity with data preprocessing, feature engineering, and model evaluation techniques.

- Experience with new LLM engineering tools like LangChain, Vector DBs, etc.

- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

- Open Source Contributions : Candidates who have contributed to open-source projects related to machine learning, natural language processing, or large language models will be given preference.

(ref:hirist.tech)

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