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CodersArts Research

At CodersArts, we believe in pushing the boundaries of AI and ML by turning bold ideas into cutting-edge solutions. Our Research Careers program offers an unparalleled opportunity to work on transformative projects, collaborate with world-class experts, and make a tangible impact in the AI/ML landscape.

Job Description

At CodersArts Research, we’re shaping the world of Artificial Intelligence and Machine Learning by delivering cutting-edge solutions, providing educational support, and empowering developers to push the boundaries of innovation. If you're passionate about making a real impact in the AI and ML domain, this is the place for you.

Why Join CodersArts Research?
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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
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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:

  • Bachelor's 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.

Core Skills:

  • 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.

Problem-Solving Skills:

  • Demonstrated ability to design and implement AI/ML solutions to complex problems.

Communication and Collaboration:

  • 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

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.



2. Machine Learning Engineer


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.



3. Research Scientist

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.



4. Data Scientist

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.



5. NLP Specialist

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.

Ideal for: Individuals passionate about language models and conversational AI.

Perks

Perks of Working at CodersArts

  • Continuous Learning: Access to courses, certifications, and industry conferences.

  • Global Exposure: Collaborate with international clients and projects.

  • Research Support: Dedicated time for independent research and experimentation.

  • Growth Opportunities: Clear career pathways for advancement within the organization.

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