Job Summary:

Fresher Jobs Hub is seeking passionate and driven individuals to join our Remote AI & Data Engineering Internship Program. This is an exciting opportunity for aspiring engineers and data enthusiasts to gain hands-on experience with cutting-edge technologies in AI, machine learning, and data engineering. As part of a dynamic and fast-paced remote team, you will work on real-world projects, solve complex data challenges, and contribute to the development of innovative AI-driven solutions for our clients across various industries.

Key Responsibilities:

• Collaborate with cross-functional teams to design, develop, and deploy AI and data engineering solutions.
• Assist in the collection, preprocessing, and analysis of large datasets.
• Develop machine learning models and integrate them into data pipelines.
• Optimize existing data workflows and recommend improvements for scalability and performance.
• Support the implementation of data storage solutions and ensure data quality and integrity.
• Contribute to documentation, reporting, and knowledge-sharing activities.
• Stay updated with industry trends, tools, and best practices in AI, machine learning, and data engineering.

Required Skills and Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
• Strong programming skills in Python or a similar language commonly used in data engineering and AI projects.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Basic understanding of data engineering tools like Apache Spark, Kafka, or Hadoop is a plus.
• Knowledge of SQL and experience working with relational or NoSQL databases.
• Excellent analytical and problem-solving skills.
• Strong communication skills and the ability to work effectively in a remote team environment.

Experience:

• No prior work experience is required, but personal or academic projects related to AI, machine learning, or data engineering will be considered a plus.
• Exposure to cloud platforms (AWS, GCP, or Azure) is desirable but not mandatory.

Working Hours:

• Flexible remote working hours.
• Approximately 20-30 hours per week depending on project requirements and your availability.
• Opportunity to work across multiple time zones in collaboration with global teams.

Knowledge, Skills, and Abilities:

• A strong interest in AI, data engineering, and emerging technologies.
• Ability to manage multiple tasks and meet project deadlines independently.
• Proactive attitude and willingness to learn and adapt to new tools and methodologies.
• Strong attention to detail and a commitment to delivering high-quality work.
• A collaborative mindset and openness to feedback and continuous improvement.

Benefits:

• Fully remote internship – work from anywhere.
• Hands-on experience with real-world AI and data engineering projects.
• Mentorship from experienced professionals in AI, data science, and engineering.
• Opportunity to build a strong portfolio and enhance your resume.
• Access to professional development resources, workshops, and webinars.
• Potential for a letter of recommendation upon successful completion of the program.
• A dynamic and supportive team culture.

Why Join Fresher Jobs Hub:

At Fresher Jobs Hub, we are committed to empowering early-career professionals to kick-start their careers in tech. You will be part of a team that values innovation, learning, and collaboration. We provide a nurturing environment where interns can explore their interests, take ownership of impactful projects, and grow both personally and professionally. By joining us, you will play an integral role in shaping AI-driven solutions for clients across diverse industries while expanding your skill set and network.

How to Apply:

If you are excited to begin your journey in AI and data engineering and want to work with a forward-thinking team, we would love to hear from you. Please submit your updated CV along with a brief cover letter highlighting your relevant skills and interest in this internship.
Apply directly through our careers page or send your application to us. Early applications are encouraged as positions are filled on a rolling basis.