Job brief
We are seeking a highly skilled and experienced Data Scientist with a specialization in Language Models, particularly LLMs (Large Language Models). As a member of our team, you will play a crucial role in advancing our natural language processing capabilities and contributing to cutting-edge research and development projects. If you are passionate about language models, have a strong foundation in machine learning, and are eager to push the boundaries of AI, we want to hear from you.
Softices is Urgently looking for Data Scientist for the current vacancies we have. As this is an urgent requirement, so only interested candidates apply.
We don't just offer Job, but we offer Career growth.
Position: Data Scientist
Experience: 1+ Years of experience
Salary: Don’t worry about it, if you have right skills.
No. of Openings: Always open for the right candidate.
Benefits
- 5 days working.
- No Bond System.
- 18 Paid leaves + 10 Holidays.
- Medical Insurance.
- On time Salary.
- Flexible Office Timings.
- Celebrations – Birthday, Festivals, Events, Picnics, Movies, Dinner etc.
- Technical Growth (Knowledge Sharing Program) to learn new things.
- Paid Subscriptions of Channels.
- Games Indoor & Outdoor.
- Team and Company Dinner.
Responsibilities
& duties
- LLMs Model Development: Lead the design, development, and optimization of large language models (LLMs) for specific applications or domains.
- Collaborate with cross-functional teams to define requirements and deliver tailored LLMs solutions.
- Fine-tune and adapt pre-trained models for various NLP tasks, such as text generation, sentiment analysis, and named entity recognition.
- Data Collection and Preprocessing:
- Gather and curate large datasets for training LLMs models, ensuring data quality and relevance.
- Develop data preprocessing pipelines to clean, tokenize, and prepare text data for model training.
- Model Training and Evaluation: Train LLMs models using state-of-the-art techniques and platforms (e.g., TensorFlow, PyTorch).
- Evaluate model performance, conduct experiments, and iterate to improve model accuracy and efficiency.
- Research and Innovation: Stay up-to-date with the latest advancements in NLP and LLMs models.
- Contribute to research papers, patents, or open-source projects in the field of natural language processing.
- Collaboration: Collaborate with cross-functional teams, including engineers, product managers, and domain experts, to integrate LLMs models into products and solutions.
- Documentation: Maintain clear and organized documentation for model development, data preprocessing, and evaluation processes.
Skill-set we are looking for?
- Minimum of 1 years of hands-on experience in developing and working with large language models, such as GPT, BERT, or similar architectures.
- Strong programming skills in Python and experience with machine learning libraries like TensorFlow or PyTorch.
- Proficiency in natural language processing techniques and tools.
- Solid understanding of deep learning concepts and model optimization.
- Experience with data collection, preprocessing, and cleaning for NLP projects.
- Strong problem-solving skills and the ability to work independently and in a team.
- Excellent communication skills and the ability to explain complex concepts to non-technical stakeholders.
- Contributions to open-source NLP projects or publications in reputable conferences or journals.
- Experience with cloud-based machine learning platforms (e.g., AWS, Azure, GCP).
- Knowledge of distributed computing and GPU acceleration for model training.
Apply here
Let's do this!