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Job Information

  • Employee Type:

    Full Time
  • Contact Person:

    Pooja Shahade
  • Contact:

    7898904707
  • Location:

    Pune
  • Job Position:

    Sr. Machine Learning Engineer
  • Experience

    4 to 11 Years
  • Qualifications:

    Any Graduate
  • Salary:

    ₹1000000 - ₹ 1800000
  • Date posted:

    15-May-25

Sr. Machine Learning Engineer

Celebal Technologies

Pune

Job Description:

Sr. Machine Learning Engineer 

Location – Mumbai/Pune 

Experience – 3 +years


 Overview: We are seeking a skilled and enthusiastic Machine Learning Engineer with a minimum of 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in Python programming, classical machine learning algorithms, and a solid understanding of core mathematical concepts.

 Additionally, proficiency in Databricks, PySpark, Azure ML pipelines and SDLCs are highly desirable. The candidate should also possess hands-on experience with Azure and/or other cloud platforms. 

Job Description: Time Series Forecasting / Data Bricks / Pyspark / Classical Machine Learning ( Refression ) SQL / API 

1. Develop and implement machine learning models using Python and classical ML algorithms to address business challenges. 

2. Collaborate with cross-functional teams to understand requirements and translate them into actionable technical solutions. 3. Utilize Databricks PySpark for scalable data processing and analysis tasks. 

4. Monitor model performance and implement drift management strategies to ensure model effectiveness over time. 

5. Stay updated with advancements in machine learning and contribute to the adoption ofbest practices within the team. 

6. Conduct experiments with deep learning techniques and integrate them into the existing workflow where appropriate. 

Must Have: 1. Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related field. 

2. Minimum of 3 years of experience in machine learning engineering or related roles.

3. Proficiency in Python programming language and SQL. 

4. Strong understanding of classical machine learning algorithms related to classification, regression, time series forecasting and recommendation systems and their applications.

5. Experience with Databricks PySpark for big data processing and analysis.