AI-Powered Data Scientist

5 hours ago

Belgaum, Karnataka, India beBeeMachine Full time ₹ 22,48,550 - ₹ 44,77,100
About Machine Learning Engineer Role

We are a leading digital solutions provider seeking a skilled Machine Learning Engineer to join our team. As a key member of our data-driven organization, you will play a critical role in unlocking the value of customer data and applications.

In this challenging and rewarding position, you will be responsible for designing, developing, and deploying machine learning models that drive business outcomes. You will work closely with cross-functional teams to identify opportunities, develop strategies, and implement solutions that meet or exceed client expectations.

To succeed in this role, you must have a strong foundation in machine learning principles, algorithms, and tools. Proficiency in programming languages such as Python, experience with popular frameworks like TensorFlow/Keras, and a proven track record of delivering high-quality results under tight deadlines are essential.

Key Responsibilities:

  • Benchmark and evaluate machine learning models on various datasets, identifying areas for improvement and implementing optimization techniques to enhance performance.
  • Design and develop big data processing pipelines, leveraging your expertise in data engineering and machine learning to extract insights from large datasets.
  • Collaborate with data scientists and engineers to integrate machine learning models into larger systems, ensuring seamless integration and optimal performance.
  • Develop data analysis and visualization scripts to provide actionable insights to stakeholders, informing business decisions and driving growth.
  • Preferred Qualifications:
    • Familiarity with computer vision and natural language processing techniques.
    • Experience with data annotation tools and synthetic data generation methods.
    • Strong understanding of DevOps principles and practices, including continuous integration and delivery.

We Offer:

  • A dynamic and collaborative work environment that fosters innovation and creativity.
  • A comprehensive benefits package, including health insurance, retirement plans, and paid time off.
  • Ongoing training and professional development opportunities to help you grow in your career.

How to Apply:

Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you

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