Job Title: Senior Data Scientist/LLM Engineer
Location: Hyderabad
Experience: 4-8 Years
About the Company:
Nisieon Technology is your trusted partner in achieving your talent acquisition goals. We understand that the right people are the foundation of any successful business, and we're committed to providing you with exceptional staffing services tailored to your unique needs. Whether you need to quickly scale your workforce, find a long-term team member, or discover top-tier leadership, our expertise and dedication ensure you'll find the perfect fit
Job Summary:
We are seeking an experienced and highly skilled Senior Data Scientist/LLM Engineer. The ideal candidate will have 4-8 years of experience in data science and machine learning, with a specific focus on large language models (LLMs). As a Senior Data Scientist/LLM Engineer, you will be responsible for leading the development, implementation, and optimization of advanced machine learning models and natural language processing (NLP) solutions to solve complex business problems and drive innovation.
Key Responsibilities:
Lead the development, implementation, and optimization of advanced machine learning models, particularly large language models (LLMs).
Perform sophisticated data analysis, data cleaning, and data preprocessing to prepare data for model training and evaluation.
Design and implement NLP solutions, including text classification, sentiment analysis, entity recognition, and language generation.
Collaborate with cross-functional teams to understand business objectives and translate them into data science solutions.
Conduct thorough model evaluation, validation, and performance tuning to ensure the accuracy and efficiency of models.
Develop and maintain comprehensive documentation for models, algorithms, and processes.
Stay current with the latest research and advancements in machine learning and NLP, and apply new techniques to improve existing solutions.
Mentor junior data scientists and provide technical guidance and support to the team.
Assist in deploying, monitoring, and maintaining models in production environments.
Provide actionable insights and recommendations based on data analysis and model outcomes to support decision-making.
Required Skills and Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
4-8 years of experience in data science, machine learning, or a related field.
Strong expertise in machine learning algorithms and techniques.
Extensive experience with large language models (LLMs) and NLP techniques.
Proficiency in programming languages such as Python or R.
Deep understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar.
Strong skills in data manipulation and analysis using tools such as Pandas, NumPy, and SQL.
Excellent problem-solving and analytical abilities.
Strong communication and teamwork skills, with the ability to lead and mentor junior team members.
Ability to manage multiple projects and priorities effectively.
Preferred Qualifications:
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge of deep learning techniques and architectures.
Familiarity with version control systems such as Git.
Experience with data visualization tools like Tableau, Power BI, or similar.
Understanding of MLOps practices and tools.
Publications or contributions to the data science community.