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. 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 Responsibilities: 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 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.,
