Machine Learning Developer

2 weeks ago


Kota, Rajasthan, India beBeeMachineLearning Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

We are looking for a talented Machine Learning Developer to join our team. As a developer, you will be responsible for designing and implementing AI features across our products.

About the Role

You will work closely with our product team to prototype, evaluate, and productionize AI features. Your primary focus will be on developing and deploying machine learning models that meet the needs of our customers.

Key Responsibilities:
  • Design and implement machine learning algorithms to solve complex problems.
  • Collaborate with cross-functional teams to integrate ML models into our products.
  • Analyze data to identify areas for improvement and develop strategies to optimize model performance.
Required Skills and Qualifications:
  • Bachelor's or Master's degree in Computer Science or related field.
  • Strong programming skills in Python, preferably with experience in PyTorch or TensorFlow.
  • Excellent understanding of machine learning concepts, including supervised and unsupervised learning.
  • Familiarity with cloud-based platforms such as AWS or GCP.
  • Strong communication and teamwork skills.
Benefits:
  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.
Other Opportunities:
  • Potential for career advancement.
  • Competitive salary and benefits package.
  • Flexible working hours and remote work options.

The ideal candidate will have a passion for machine learning and a strong desire to learn and grow. If you're a motivated and talented individual who is eager to take on new challenges, we encourage you to apply.

Growth path:

  • 0–6 months: lead POCs end-to-end; own an evaluation framework; ship 1–2 features into production.
  • 6–12 months: tech lead for a product work-stream.
  • 12–18 months: mentor juniors; co-own roadmap; drive customer pilots—path to AI/ML Lead.

Qualifications:

  • Bachelor's or Master's degree in Computers, or a related field with 1-4 years of relevant experience.


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