Junior Data Scientist /LLM Engineer
Job Title: Junior Data Scientist / LLM Engineer
Location: Hyderabad, India
Experience: 2-4 Years
Company Overview:
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 Description:
We are seeking a motivated and skilled Junior Data Scientist / LLM Engineer with 2-4 years of experience to support our data science and AI initiatives. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and large language models (LLMs). You will work closely with senior data scientists, engineers, and stakeholders to develop, implement, and optimize advanced AI models and solutions.
Key Responsibilities:
Model Development and Implementation:
Develop, train, and fine-tune machine learning models, with a focus on NLP and LLMs.
Implement state-of-the-art algorithms and techniques to solve complex data problems.
Collaborate with cross-functional teams to integrate AI models into production systems.
Data Analysis and Preprocessing:
Perform data collection, cleaning, and preprocessing to ensure high-quality inputs for model training.
Conduct exploratory data analysis (EDA) to uncover insights and inform model development.
Performance Optimization:
Evaluate model performance using appropriate metrics and techniques.
Optimize models for efficiency, scalability, and accuracy.
Research and Innovation:
Stay up-to-date with the latest advancements in machine learning, NLP, and LLMs.
Contribute to research and development efforts to continuously improve our AI capabilities.
Collaboration and Communication:
Work closely with data scientists, engineers, and product managers to understand project requirements and deliver solutions.
Present findings, insights, and recommendations to technical and non-technical stakeholders.
Qualifications:
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Experience:
2-4 years of hands-on experience in data science, machine learning, and NLP.
Proven experience with large language models (LLMs) and related frameworks.
Technical Skills:
Proficiency in programming languages such as Python or R.
Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Strong understanding of NLP techniques and tools (e.g., NLTK, spaCy, transformers).
Familiarity with data preprocessing and visualization tools (e.g., Pandas, Matplotlib, Seaborn).
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Ability to work independently and manage multiple tasks simultaneously.
Preferred Qualifications:
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying machine learning models.
Knowledge of database systems and SQL.
Publications or contributions to open-source projects in the field of machine learning or NLP.