Machine Learning Engineer / ML Engineer

Designation – Sr. Machine Learning Engineers

Locations – Pune, Mumbai and Jaipur

Experience – 3+years

Positions - Multiple

We are seeking a skilled and enthusiastic Machine Learning Engineer with a minimum

of 3 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:

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 of

best 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.

6. Experience with Azure Machine Learning Pipelines and deploying REST APIs over AKS/ACR/App Service.

7. Must be familiar with CI/CD pipelines, Time Series Forecasting and Predictive Maintenance

8. Familiarity with drift management techniques and tools.

9. Hands-on experience with Azure and other cloud platforms.

10. Knowledge of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch).

11. Solid grasp of core mathematical concepts such as algebra, calculus, co-ordinate

geometry and statistics.

12. Excellent problem-solving skills and ability to work in a fast-paced environment.

13. Strong communication and interpersonal skills, with the ability to collaborate effectively

within a team.