Job Title: Machine Learning Engineer
Are you passionate about pushing the boundaries of artificial intelligence and machine learning? We are seeking a talented Machine Learning Engineer to join our innovative team. You will play a crucial role in developing cutting-edge algorithms and models that drive our next-generation products and services.
Responsibilities:
- Develop machine learning models and algorithms for predictive analytics and pattern recognition.
- Collaborate with cross-functional teams to design and implement scalable ML solutions.
- Conduct data analysis and preprocess data for model training and evaluation.
- Optimize and fine-tune ML models for performance and efficiency.
- Stay up-to-date with the latest advancements in machine learning and AI research.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (Master's preferred).
- Proven experience in developing and deploying machine learning models in production environments.
- Proficiency in programming languages such as Python, R, or Java.
- Strong understanding of machine learning techniques and algorithms.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
- Excellent problem-solving skills and attention to detail.
Preferred Qualifications:
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Ability to work independently and as part of a team in a fast-paced environment.
Join us in shaping the future of AI and machine learning. Apply now and #InnovateWithML!
Salary: Competitive, based on experience
Benefits: Comprehensive benefits package including health, dental, vision, and retirement plans
How to Apply: Send your resume and cover letter to eakansh.srivastava@dataisgood.com Please include examples of your work or GitHub profile, if available.
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