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CodersArts Research

CodersArts
Noida, Uttar Pradesh

Apply Now

Job details

Internship

Qualifications

TensorFlow
Statistics
Doctoral degree
Computer Science
PyTorch
Calculus
R
Research
Java
AWS
Math
Sentiment analytics
Bachelor's degree
Machine learning
Natural language processing
Data science
AI
Python

Full job description

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?

=======================

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

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.

Apply Now

Refine Your Search

CodersArts Research

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