Digixvalley LLC is a leading software house specializing in innovative technology solutions. We’re passionate about leveraging data to drive insights and create intelligent applications. Join our dynamic team to shape your future .Key Responsibilities
- Design, develop, and deploy machine learning models and algorithms.
- Collaborate with data scientists to gather and preprocess data for training and testing.
- Optimize models for performance and scalability in production environments.
- Analyze and interpret complex data sets to inform business decisions.
- Conduct experiments to validate model effectiveness and iterate based on findings.
- Integrate machine learning solutions into existing software products and services.
- Monitor and maintain machine learning systems in production, ensuring reliability and efficiency.
- Collaborate with the Data Architect to integrate machine learning solutions.
- Identify and troubleshoot issues related to data processing and model performance.
- Stay updated with the latest advancements in AI and machine learning technologies.
Required skills
- Proven experience of at-least 3 years in machine learning, AI, data science, or a related field.
- Strong programming skills in Python.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong understanding of algorithms, data structures, and statistical analysis.
- Familiarity with data processing tools (e.g., Pandas, NumPy).
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
- Excellent problem-solving skills and attention to detail.
- Ability to work effectively in a team environment.
Preferred Qualifications
- Advanced degree in Computer Science, Data Science, or a related field.
- Experience with data warehousing solutions.
- Strong background in statistics and applied mathematics.
- Familiarity with Databricks.
If you’re passionate about [industry or field] and ready to make an impact at Digixvalley, we’d love to hear from you! Please send your resume and cover letter to Mehroz@digixvalley.com
