Machine Learning Engineer

Job Title:

Experience:

Location:

Role Overview

designing, developing, and deploying

Key Responsibilities

• Develop and deploy machine learning models and algorithms

  to address real-world business challenges.

• Collaborate with data scientists, software engineers, and domain experts

  to gather requirements and define project objectives.

• Clean, preprocess, and analyze large datasets

  to ensure data quality, consistency, and accuracy.

• Implement and optimize ML algorithms

  to achieve high scalability, performance, and efficiency.

• Evaluate and select appropriate ML techniques and frameworks

  for specific use cases.

• Conduct experiments and perform statistical analysis

  to validate and refine model performance.

• Integrate ML models into production systems

  , working closely with software engineering teams.

• Monitor and maintain deployed models

  to ensure ongoing accuracy and reliability.
• Stay updated with

  advancements in ML research, tools, and frameworks

  to continuously improve solutions.

• Communicate findings and complex concepts

  to both technical and non-technical stakeholders effectively.

Required Skills & Qualifications

• 6–9 years of experience

  in machine learning or related fields.
• Strong programming skills in

  Python

• In-depth knowledge of

  machine learning algorithms, techniques, and frameworks

  (e.g., TensorFlow, PyTorch, scikit-learn).
• Expertise in

  data preprocessing, feature engineering, and model evaluation

  .
• Experience with

  big data tools and frameworks

  (e.g., Hadoop, Spark) is a plus.
• Solid understanding of

  statistical analysis and experimental design

  .
• Familiarity with

  cloud platforms (AWS, GCP, Azure)

  and distributed computing environments.
• Excellent

  problem-solving skills

  and ability to handle open-ended, complex challenges.
• Strong

  collaboration and communication skills

  to work effectively across teams.
• Attention to detail with the ability to

  manage multiple projects simultaneously

  .

Education

• Bachelor’s degree

  in Computer Science, Mathematics, Statistics, or a related field (required).

• Master’s or Ph.D.

  in a relevant field (preferred).