About Us:

Welcome to Sintetiq! Where we’re on a mission to revolutionize AI language models! Imagine crafting the future of conversation, shaping how people interact with technology, and pushing the boundaries of what’s possible with language. If you’re passionate about AI and want to work in a dynamic and fun environment, then look no further. Join us and be part of a team that’s creating the next generation of Causal Language Models (CLMs)!

Role Overview:

Are you a wizard with words and a maestro with models? We’re looking for a Causal Language Model Developer who will bring their magic to develop, train, and fine-tune cutting-edge language models. You’ll be responsible for transforming vast amounts of text data into highly intelligent AI systems that understand and generate human-like text.

What You’ll Do:

• Craft Cutting-Edge Models: Develop and optimize Causal Language Models using frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.
• Data Alchemist: Collect, preprocess, and curate large text datasets from various sources to feed our hungry models.
• Training Conductor: Lead the charge in training CLMs, leveraging distributed training tools like DeepSpeed and Horovod.
• Evaluation Guru: Evaluate model performance using metrics such as perplexity and F1-score, and fine-tune for optimal results.
• Deployment Dynamo: Deploy models into production using tools like TensorFlow Serving, TorchServe, or Docker, and ensure they run smoothly.
• Innovation Enthusiast: Stay ahead of the curve by researching the latest advancements in NLP and AI, and bring fresh ideas to the table.

Who You Are:

• AI Enthusiast: You have a strong background in Natural Language Processing (NLP) and machine learning.
• Coding Virtuoso: Proficient in Python and familiar with deep learning frameworks such as TensorFlow and PyTorch.
• Data Whisperer: Experience with data preprocessing and tokenization techniques.
• Training Expert: Knowledgeable in managing training workflows, including distributed training and hyperparameter tuning.
• Evaluation Pro: Skilled in evaluating models and visualizing their performance using tools like TensorBoard and Matplotlib.
• Deployment Savvy: Comfortable with deploying models and building APIs using frameworks like FastAPI and Docker.
• Problem Solver: You think critically, love solving complex challenges, and aren’t afraid to experiment and iterate.
• Collaborative Spirit: Excellent communication skills and the ability to work effectively in a team.

Bonus Points If You Have:

• Experience with Hugging Face Transformers: Leveraged their libraries for model development.
• Big Data Experience: Worked with distributed data processing tools like Apache Spark or Dask.
• Experimentation Tools: Experience with MLflow or Weights & Biases for tracking experiments.
• Creative Vision: An eye for creating engaging and meaningful AI-driven user experiences.