Lead Machine Learning Engineer

Role and responsibilities :

• Design, implement, and deploy predictive and prescriptive models using Python and Data-bricks.
• Define and implement best practices for data ingestion, cleaning, and feature engineering.
• Optimize Spark jobs and workflows for scalability and cost-efficiency.
• Lead A / B testing and statistical validation of models.
• Implement robust pipelines for model deployment and monitoring.
• Work closely with business stakeholders to identify opportunities and deliver data-driven so-lutions.
• Coach junior team members and contribute to knowledge-sharing sessions.
• Stay updated on emerging trends in AI / ML and propose innovative solutions.

Technical Skills & Expertise :

Advanced proficiency in Python (pandas, NumPy, scikit-learn, PySpark).

Strong experience with Databricks and distributed data processing using Apache Spark.

Solid understanding of SQL for data manipulation and query optimization.

Expertise in building, tuning, and deploying ML models (classification, regression, clustering).

Familiarity with MLflow for experiment tracking and model lifecycle management.

Knowledge of deep learning frameworks (TensorFlow, PyTorch) is a plus.

Hands-on experience with Azure Data Lake, AWS S3, or similar cloud storage.

Understanding of Delta Lake and data versioning.

Strong skills in data storytelling using tools like Power BI or Plotly.

Experience with CI / CD pipelines for ML models and containerization (Docker).

Ability to optimize Spark jobs and handle large-scale datasets efficiently.

Qualifications / Requirements :

Education : Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field.

5+ years in data science roles, with at least 2 years in a senior or lead capacity.

Proven track record of delivering end-to-end ML solutions in production.

Strong problem-solving and analytical thinking.

Excellent communication skills for cross-functional collaboration.

Languages : Fluent in English (written and spoken).

Desired Characteristics :

Strong communication (both verbally and in writing) and interpersonal skills

Fast learner, energetic, enthusiastic and ability to multi-task

Business-focused, customer- & service-minded

Flexible to work across time zones and with cross-functional teams.

Results-oriented & work ethic to always deliver on-time and in-scope.

Able to work under pressure and manage stressful situations confidently & effectively.

Open-minded, positive attitude

Self-motivated to work independently.

Good team player, actively participating and contributing toward achieving our mission suc-cessfully.

Required skills :

Python

Apache Spark

cross-functional

Scikit-Learn

AWS S3

Docker

ML Models

Databricks

MLFlow

PySpark

CI / CD

Spark

Delta lake

Power BI

SQL

pytorch

Deep Learning

Analytical

Azure Data Lake

TensorFlow

Pandas

Production

Ploty

NumPy

Problem Solving

Languages : English (Proficient)

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