Skip to Content

Machine Learning

Vapi, India

We are looking for a skilled Machine Learning Engineer to join our growing data science team. The ideal candidate will have 0-1 years of experience in developing and deploying machine learning models, with a strong foundation in algorithms and data processing techniques. You will work on exciting projects that leverage data to drive business insights and innovation.  

Requirement For The Role

                                      Must Have
  •   Bachelor’s or Master’s degree in Computer Science.
  •   Strong experience in Python, with at least 0-1 years of experience in machine learning or data science roles is required.
  •  Exposure to AWS cloud services such as SageMaker, Bedrock, Kendra etc.
  •  Experience with machine learning model lifecycle management tools, and an understanding of MLOPS principles and best practice.
  •  Good understanding of databases and version control systems is required.
  • Hands-on experience with using Cloud Platform.

                        Responsibilities

  •   Design, implement, and deploy machine learning models to solve real-world problems.
  •  Troubleshoot and debug applications to ensure optimal performance.
  •  Generate actionable insights for business improvements.
  •  Write clean, efficient, and reusable code following best practices.
  •  Stay current with the latest advancements in machine learning and AI technologies.
  • Strong analytical, problem-solving, data analysis and research skills.

What’s Great About Working at MobiBox Softe​ch?

  • A fantastic team of talented individuals in a friendly and open culture.
  • Supportive management with no unnecessary procedures or strict working hours.
  • Opportunities to expand your knowledge across various business industries.
  • Focus on meaningful work without wasting time on enterprise processes, offering real responsibilities and autonomy.
  • Take on real challenges in a fast-evolving company that values innovation and growth.

What We Offer

Each employee has the opportunity to see the impact of their work and make a real contribution to the company's success. We organize various activities throughout the year, including weekly sports sessions, team-building events, monthly social gatherings, and more.  


Eat & Drink

Fruit, coffee and snacks provided.


Annual Company Trip

Enjoy a trip together once a year, with all expenses covered.


Perks

A full-time position
Attractive salary package.