AI ML Python Developer Intern – NicheTech Computer Solutions – Full Job Description

Company: NicheTech Computer Solutions
Location: Ahmedabad, Gujarat
Job Type: Internship, Full-time
Salary: Negotiable

We are seeking trainee AI/ML Engineers with expertise in Python to join our team. The ideal candidates will have zest in building and deploying AI/ML models, developing scalable solutions, and contributing to cutting-edge machine learning projects.

Key Responsibilities:

• Design, develop, and deploy robust AI/ML models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into production environments.
• Implement data preprocessing, feature engineering, and model optimization techniques.
• Work with large datasets to derive insights and develop predictive models.
• Write clean, efficient, and well-documented Python code.
• Evaluate model performance and fine-tune algorithms for better accuracy and efficiency.
• Research and implement new machine learning methods and technologies.
• Develop and maintain automated pipelines for training, testing, and deploying models.
• Mentor junior engineers (for 10+ Years of experience candidates).

Key Requirements:

• Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Technical Skills:
  • Strong programming skills in Python.
  • Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency in data processing tools such as Pandas and NumPy.
  • Experience with cloud platforms (AWS, Azure, or GCP) for deploying models.
  • Knowledge of NLP, computer vision, or deep learning techniques is a plus.
  • Familiarity with big data tools (e.g., Spark, Hadoop) is advantageous.

• Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and team collaboration skills.
  • Ability to adapt to a fast-paced and dynamic environment.

Preferred Qualifications:

• Hands-on experience with MLOps tools and workflows.
• Familiarity with version control systems like Git.
• Exposure to end-to-end product lifecycle from ideation to deployment.

Benefits:

• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Continuous learning and upskilling opportunities.

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