SayF Machine Learning Engineer Internship

 SayF Machine Learning Engineer Internship

Stipend per month

  • ₹ 15K - 25K

Duration

  • 2 months

Mode

  • 3-4 hours / day

Start Date

  • Immediate

Openings

  • 2

Job Offer

  • ₹ 4 LPA - 10 LPA

Office Location

  • Remote

Skills - Mandatory

  • Machine Learning
  • Problem Solving
  • Analytical Thinking

Extra Benefits

  • Letter of Recommendation
  • Certificate
  • Flexible Hours
  • Job Offer
  • Performance Bonus

About Internship

Job Title: Machine Learning Intern
Location: SayF
Duration: 3 months
Job Type: Internship (Part-Time)

Position Overview:

We are seeking a passionate and motivated Machine Learning Intern to join our AI and Data Science team. In this role, you will get hands-on experience in building, training, and deploying machine learning models while gaining exposure to real-world problems. This internship is an excellent opportunity for someone looking to grow their career in machine learning, AI, and data science.

Key Responsibilities:

  • Assist in building and testing machine learning models for various projects.
  • Work closely with data scientists and engineers to preprocess data, identify patterns, and extract valuable insights.
  • Implement and fine-tune algorithms for predictive analytics, classification, clustering, and other use cases.
  • Collaborate with cross-functional teams to integrate models into production environments.
  • Research the latest advancements in machine learning techniques and help apply them to solve practical business problems.
  • Help develop internal tools and frameworks to streamline machine learning workflows.
  • Document and present findings to both technical and non-technical audiences.

Qualifications:

  • Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Data Science, Mathematics, Statistics, or related field.
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of algorithms, data structures, and fundamental machine learning concepts.
  • Programming experience in Python (knowledge of R, Java, or C++ is a plus).
  • Hands-on experience with data processing libraries such as NumPy, Pandas, and data visualization tools (e.g., Matplotlib, Seaborn).
  • Experience with SQL and working with large datasets is a plus.
  • Strong problem-solving skills and the ability to work independently and collaboratively.

Preferred Skills:

  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes) is advantageous.
  • Experience with deep learning, reinforcement learning, or NLP is a plus.
  • Good communication skills and ability to convey complex concepts clearly.

What We Offer:

  • Opportunity to work on meaningful, impactful projects.
  • Mentorship from experienced professionals in the machine learning and data science fields.
  • A collaborative, inclusive work culture.
  • Flexible working hours.
  • Potential for full-time employment based on performance and company needs.

Want to Apply?

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