Data Scientist

Employment Type: Full-time 

About Us: 

At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We’re looking for a talented Data Scientist eager to push the boundaries of applied AI. 

Role Overview: 

 We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: 

• Machine Learning model development 

• Agent Trajectory prediction and modeling 

• Complex Reasoning and Decision Systems 

• Preference Ranking & Reinforcement Learning 

• Multimodal Reasoning (Text, Image, Audio) 

• Prompt Validation and Evaluation for LLMs 

Key Responsibilities: 

• Design and build ML models for structured and unstructured data 

• Conduct agent-based simulations and develop trajectory learning systems 

• Apply preference learning techniques for fine-tuned ranking outcomes 

• Handle multimodal datasets and develop reasoning pipelines across modalities 

• Validate and optimize prompts for large language model performance 

• Translate research into scalable, production-level implementations 

• Collaborate with cross-functional teams (Engineering, Product, Research) 

Required Qualifications: 

• Minimum 4 years of hands-on experience in Data Science or Machine Learning roles 

• Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools 

• Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems 

• Experience with LLM prompt engineering and evaluation techniques 

• Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference 

• Strong problem-solving, analytical thinking, and communication skills 

Preferred Skills: 

• Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs 

• Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning 

• Experience with deploying ML models in production environments (e.g., using Docker, MLflow) 

Why Join Us: 

• Work on high-impact, next-generation AI challenges 

• Collaborate with top talent across domains 

• Competitive salary + benefits + learning budget 

• Flexible and remote-friendly work culture.