Machine Learning Engineer for Scalable AI Solutions

5 hours ago

Delhi, Delhi, India Infometry Full time

About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Infometry. This is an excellent opportunity to work on cutting-edge AI projects and contribute to the development of scalable machine learning solutions.

Job Description

The ideal candidate will have strong Python skills, a background in software engineering, and experience working across the end-to-end machine learning lifecycle. As a leader, you will be responsible for reviewing code, guiding problem-solving sessions, and communicating technical knowledge to both technical and non-technical teams.

Main Responsibilities

  • Lead the design, development, and deployment of machine learning models, ensuring they meet the requirements of different stakeholders across the organization.
  • Collaborate with cross-functional teams (management, data engineering, brand teams) to build scalable, production-ready machine learning pipelines.
  • Develop and implement model serving pipelines and automate processes using MLOps frameworks (e.g., MLflow, SageMaker, etc.).
  • Review peers' code and contribute to team-wide problem-solving discussions, encouraging collaboration and adherence to best practices.
  • Apply distributed computing frameworks such as Snowpark or PySpark to scale data processing and model training efforts.
  • Build and refine machine learning models ranging from simple linear/logistic regression to deep learning architectures, depending on the needs of the project.
  • Design and implement strategies for training models on imbalanced datasets.
  • Utilize appropriate training schemas for unbiased model training (and perform model tuning for optimal performance.
  • Articulate model performance and evaluation metrics to both technical and non-technical stakeholders, ensuring model decisions are well-understood.
  • Diagnose model/data drift and implement time-wise tracking of model performance to ensure reliability over time.

Requirements and Qualifications

  • Strong Python skills, with a focus on developing efficient and scalable machine learning pipelines.
  • Demonstrated experience working with distributed computing frameworks like Snowpark or PySpark.
  • Software engineering background with knowledge of best practices in software design, testing, and deployment.
  • Proven experience in the end-to-end machine learning lifecycle, from data preprocessing to model deployment.
  • Experience with all sizes of machine learning models, from linear/logistic regression to deep learning.
  • Experience handling largely imbalanced training datasets and developing strategies for effective learning.
  • Proficiency with training schemas for unbiased model evaluation and tuning, such as cross-validation techniques.
  • Strong problem-solving skills and the ability to contribute to technical discussions in a collaborative environment.
  • Familiarity with MLOps frameworks for model tracking, deployment, and automation of pipelines.
  • Experience working with Dataiku or other data science-enabling tools (e.g., SageMaker, Databricks).

Compensation and Benefits

The salary for this position is estimated to be around $150,000 - $200,000 per year, depending on experience and qualifications. Additionally, we offer a comprehensive benefits package, including health insurance, 401(k) matching, and paid time off.

About Infometry

Infometry is a cutting-edge technology company dedicated to delivering innovative AI solutions. We are passionate about empowering businesses to make informed decisions through data-driven insights. Join our team and be part of shaping the future of AI

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