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Data Scientist

4 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

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


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