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.