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CodersArts Research
Codersarts
posted 15d ago
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Key skills for the job
Job Description
1) Innovation-Driven Culture: Work on groundbreaking AI and ML projects and Proof-of-Concepts (POCs) that solve real-world problems.
2) Continuous Learning: Access to advanced research, tools, and resources to enhance your skills and stay ahead in the industry.
3) Collaborative Environment: Be part of a team of experts who believe in sharing knowledge and fostering growth.
4) Impactful Work: Contribute to projects that empower businesses and communities globally.
What We Offer
1) Competitive compensation packages.
2) Opportunities for professional development and certifications.
3) Flexible work arrangements.
4) Access to premium AI/ML tools and resources.
5) A platform to publish research and gain industry recognition
2) Continuous Learning: Access to advanced research, tools, and resources to enhance your skills and stay ahead in the industry.
3) Collaborative Environment: Be part of a team of experts who believe in sharing knowledge and fostering growth.
4) Impactful Work: Contribute to projects that empower businesses and communities globally.
What We Offer
1) Competitive compensation packages.
2) Opportunities for professional development and certifications.
3) Flexible work arrangements.
4) Access to premium AI/ML tools and resources.
5) A platform to publish research and gain industry recognition
Minimum qualifications:
Educational Background:
- Bachelors or higher degree in Computer Science , Artificial Intelligence , Machine Learning , Data Science , or a related field.
- Exceptions for candidates with strong portfolios or relevant industry experience.
- Strong foundation in mathematics and statistics (e.g., linear algebra, probability, calculus).
- Proficiency in programming languages such as Python, R, or Java .
- Hands-on experience with AI/ML libraries and frameworks like TensorFlow , PyTorch , or Scikit-learn .
- Demonstrated ability to design and implement AI/ML solutions to complex problems.
- Ability to effectively communicate research ideas and collaborate within multi-disciplinary teams.
Preferred qualifications:
Relevant certifications like Google AI Certification , AWS Machine Learning Specialty , or DeepLearning.AI certifications are a plus.
Role and Responsibilties
Roles and Opportunities
1. AI Research Intern
2. Machine Learning Engineer
3. Research Scientist
4. Data Scientist
5. NLP Specialist
1. AI Research Intern
Responsibilities:
- Assist in developing AI/ML models and algorithms.
- Conduct literature reviews and experiment with new techniques.
- Document findings and prepare research papers or reports.
Ideal for: Students or early-career professionals looking to kickstart their research careers.
Responsibilities:
- Develop, train, and deploy ML models for research prototypes.
- Optimize models for scalability and performance.
- Collaborate on multi-disciplinary research projects.
Ideal for: Professionals with hands-on experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Responsibilities:
- Lead innovative research projects in AI/ML.
- Publish papers in top-tier conferences and journals.
- Mentor junior researchers and interns.
Ideal for: PhD holders or experienced researchers with a strong academic and industry background.
Responsibilities:
- Analyze complex datasets to uncover actionable insights.
- Design experiments to validate hypotheses and test AI/ML models.
- Develop visualizations and reports to communicate findings effectively.
Ideal for: Professionals skilled in data wrangling, statistical analysis, and ML.
Responsibilities:
- Develop and refine NLP models for tasks like text generation, sentiment analysis, and entity recognition.
- Experiment with large language models (LLMs) and cutting-edge NLP techniques.
- Integrate NLP solutions into real-world applications
Employment Type: Full Time, Permanent
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