Optionbox Private Limited hiring Machine Learning Engineer | Apply now

Optionbox Private Limited hiring Machine Learning Engineer | Apply now

Machine Learning Engineer (Work From Home)

OPTIONBOX PRIVATE LIMITED | Remote (India)

Job Offer ₹ 3LPA – 4LPA
Experience 0-3 years
Location Remote (India)
Mandatory Skills Python, PyTorch, NumPy, TensorFlow, Git
Optional Skills AWS, Azure, Google Cloud, SQL, REST

About the Role

We are seeking a proactive Machine Learning Engineer to design, build and deploy AI/ML solutions and AI agents. This remote role at OPTIONBOX PRIVATE LIMITED is ideal for candidates with strong Python & ML framework experience who want to work on production ML systems and integrations.

Key Responsibilities

  • Design, develop and deploy AI-powered agents (conversational AI, automation, decision systems).
  • Build, train and fine-tune machine learning models using TensorFlow, PyTorch, Scikit-learn etc.
  • Optimize model performance and scalability for production environments.
  • Integrate ML models with systems, APIs, and third-party tools (RESTful integrations).
  • Collaborate with cross-functional teams to define requirements and deliver AI-driven solutions.
  • Research and prototype new algorithms and approaches to improve product capabilities.
  • Write clean, maintainable Python code and document models, experiments and pipelines.

Required Skills & Qualifications

  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, NumPy, Pandas).
  • Strong machine learning fundamentals and experience training models for real tasks.
  • Experience with version control (Git) and working in collaborative codebases.
  • Familiarity with model deployment, Docker/Kubernetes is a plus.
  • Good communication skills and ability to document work clearly.

Preferred / Nice-to-have

  • Master’s degree in CS/AI or equivalent experience.
  • Hands-on with conversational AI systems (ChatGPT, Rasa, Dialogflow).
  • Experience with reinforcement learning, advanced deep learning techniques.
  • Familiarity with cloud ML infra (AWS SageMaker, GCP AI Platform, Azure ML).

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