Machine Learning (NCS/Job/ 2499)

Key Details:

• Experience: 5–7 years / Relevant in Machin Learning should be at least 4 years  and python 4 years must.

• Skills Required:
  • Strong hands-on experience in Python, with proficiency in Pandas and NumPy

• • Proven debugging and troubleshooting skills across backend, data pipelines, and API layers

• • Basic understanding of HTML, CSS, JavaScript and ability to analyze front-end/backend communication

• • Experience with Git and standard branching workflows

• • Exposure to statistical concepts (regression, classification, clustering) preferred
• Core Skills:  Expert-level, production-grade Python development (including Pandas/NumPy), exceptional debugging skills, and proficiency with Git.
• Specialized Knowledge: Candidates must also have visibility or experience with MLOps (i.e., supporting and automating data pipelines for Machine Learning models)

  Key Details:

• Experience: 5–7 years / Relevant in Machin Learning should be at least 4 years  and python 4 years must.

•  

• Skills Required:
  • Strong hands-on experience in Python, with proficiency in Pandas and NumPy
• • Proven debugging and troubleshooting skills across backend, data pipelines, and API layers
• • Basic understanding of HTML, CSS, JavaScript and ability to analyze front-end/backend communication
• • Experience with Git and standard branching workflows
• • Exposure to statistical concepts (regression, classification, clustering) preferred
• Core Skills:  Expert-level, production-grade Python development (including Pandas/NumPy), exceptional debugging skills, and proficiency with Git.
• Specialized Knowledge: Candidates must also have visibility or experience with MLOps (i.e., supporting and automating data pipelines for Machine Learning models)

  Key Details:

• Experience: 5–7 years / Relevant in Machin Learning should be at least 4 years  and python 4 years must.

•  

• Skills Required:
  • Strong hands-on experience in Python, with proficiency in Pandas and NumPy
• • Proven debugging and troubleshooting skills across backend, data pipelines, and API layers
• • Basic understanding of HTML, CSS, JavaScript and ability to analyze front-end/backend communication
• • Experience with Git and standard branching workflows
• • Exposure to statistical concepts (regression, classification, clustering) preferred
• Core Skills:  Expert-level, production-grade Python development (including Pandas/NumPy), exceptional debugging skills, and proficiency with Git.
• Specialized Knowledge: Candidates must also have visibility or experience with MLOps (i.e., supporting and automating data pipelines for Machine Learning models)

  Key Details:

• Experience: 5–7 years / Relevant in Machin Learning should be at least 4 years  and python 4 years must.

•  

• Skills Required:
  • Strong hands-on experience in Python, with proficiency in Pandas and NumPy
• • Proven debugging and troubleshooting skills across backend, data pipelines, and API layers
• • Basic understanding of HTML, CSS, JavaScript and ability to analyze front-end/backend communication
• • Experience with Git and standard branching workflows
• • Exposure to statistical concepts (regression, classification, clustering) preferred
• Core Skills:  Expert-level, production-grade Python development (including Pandas/NumPy), exceptional debugging skills, and proficiency with Git.
• Specialized Knowledge: Candidates must also have visibility or experience with MLOps (i.e., supporting and automating data pipelines for Machine Learning models)

  Key Details:

• Experience: 5–7 years / Relevant in Machin Learning should be at least 4 years  and python 4 years must.

•  

• Skills Required:
  • Strong hands-on experience in Python, with proficiency in Pandas and NumPy
• • Proven debugging and troubleshooting skills across backend, data pipelines, and API layers
• • Basic understanding of HTML, CSS, JavaScript and ability to analyze front-end/backend communication
• • Experience with Git and standard branching workflows
• • Exposure to statistical concepts (regression, classification, clustering) preferred
• Core Skills:  Expert-level, production-grade Python development (including Pandas/NumPy), exceptional debugging skills, and proficiency with Git.
• Specialized Knowledge: Candidates must also have visibility or experience with MLOps (i.e., supporting and automating data pipelines for Machine Learning models)

  Key Details:

• Experience: 5–7 years / Relevant in Machin Learning should be at least 4 years  and python 4 years must.

•  

• Skills Required:
  • Strong hands-on experience in Python, with proficiency in Pandas and NumPy
• • Proven debugging and troubleshooting skills across backend, data pipelines, and API layers
• • Basic understanding of HTML, CSS, JavaScript and ability to analyze front-end/backend communication
• • Experience with Git and standard branching workflows
• • Exposure to statistical concepts (regression, classification, clustering) preferred
• Core Skills:  Expert-level, production-grade Python development (including Pandas/NumPy), exceptional debugging skills, and proficiency with Git.
• Specialized Knowledge: Candidates must also have visibility or experience with MLOps (i.e., supporting and automating data pipelines for Machine Learning models)