Data Scientist

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