Data Scientist (AI/NLP Engineer - ( Azure Cloud Expertise)- Remote work

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Overview

Ender-IT is seeking a highly motivated Data Scientist with expertise in Artificial Intelligence (AI) and Natural Language Processing (NLP), specifically with experience in Azure Cloud solutions. The ideal candidate will have a strong background in data analysis, machine learning, and cloud-based technologies. This remote position offers the opportunity to work on innovative projects that leverage AI and NLP to advance our services and products. The successful candidate will be responsible for designing, implementing, and optimizing algorithms that enhance our data-driven decision-making processes.

Job Responsibilities

• Develop and implement machine learning models and algorithms for various AI applications, with an emphasis on NLP.
• Analyze large and complex datasets to extract insights and trends that support business initiatives.
• Work closely with cross-functional teams to define problem statements and design appropriate analytical approaches.
• Utilize Azure Cloud services for building and deploying scalable AI/NLP solutions.
• Regularly test models for performance optimization and tune algorithms to enhance their effectiveness.
• Document processes, create reports, and present results to stakeholders in a clear and actionable manner.
• Stay current with technological advancements and best practices in data science and AI.

Qualifications

• Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 3 years of experience in a Data Scientist role, focusing on AI/NLP.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with Azure Cloud services, particularly their machine learning and data processing tools.
• Strong understanding of statistical analysis and data visualization techniques.
• Experience with NLP frameworks such as NLTK, spaCy, or Hugging Face Transformers.
• Excellent problem-solving skills and ability to work independently in a remote work environment.
• Strong communication skills to translate complex concepts into practical solutions for non-technical stakeholders.

Technologies & Tools

The successful candidate will be expected to work with a variety of technologies and tools, including but not limited to Azure Machine Learning, Azure Databricks, Python libraries (such as TensorFlow, Keras, and pandas), SQL for database management, and NLP libraries like spaCy and NLTK. Familiarity with data visualization tools such as Tableau or Power BI will be advantageous for presenting insights to stakeholders.

Ideal Candidates

The ideal candidates for this position are those who possess a passion for data and technology and are driven by a desire to solve complex problems. A proactive and analytical mindset is crucial, along with the ability to rethink traditional approaches to data analysis. Candidates should be adaptable and open to continuous learning, thriving in a fast-paced, remote work environment. Strong interpersonal skills and a collaborative spirit will enhance success in this role, as the Data Scientist will be required to engage with various teams and stakeholders to drive projects forward.