Senior Machine Learning Engineer

Senior Machine Learning Engineer

Key Responsibilities:

Machine Learning Model Development:

• Design, develop, and deploy advanced

  machine learning models

  .
• Specialize in

  natural language processing (NLP) tasks

  such as text classification, sentiment analysis, and language generation.

Data Engineering:

• Perform

  Extract, Transform, and Load (ETL)

  operations to process data from various sources.
• Ensure high

  data quality and consistency

  throughout the data pipeline.

NLP Techniques:

• Apply

  state-of-the-art NLP techniques

  , including advanced language models and robust text processing methodologies, to solve complex business problems.

Python and ML Frameworks:

• Utilize

  Python programming language

  extensively for development.
• Work proficiently with popular

  Machine Learning frameworks

  such as

  PyTorch or TensorFlow

  to build efficient and scalable models.

Cloud and Containerization:

• Leverage leading

  cloud platforms (GCP, AWS)

  for model deployment and management.
• Utilize

  containerization technologies (Docker)

  for efficient deployment and management of ML models.

Database Management:

• Work with

  relational databases (Postgres, MySQL)

  to store, manage, and query large datasets effectively.

Knowledge Graphs and ML Publications:

• Contribute to the development and enhancement of

  knowledge graphs

  .
• Stay updated with the latest advancements in the field of machine learning and data science through continuous research and engagement with publications.

Qualifications:

Experience:

• 4-7 years of hands-on experience in data science, with a strong and proven focus on

  machine learning and natural language processing

  .

Technical Skills:

• Proficiency in

  Python programming language

  .
• Deep understanding of

  machine learning algorithms and techniques

  .
• Expertise in

  NLP

  , including various language models and text processing methods.
• Familiarity with prominent

  ML frameworks

  like PyTorch or TensorFlow.
• Experience with

  cloud platforms (GCP, AWS)

  and

  containerization (Docker)

  .
• Knowledge of

  relational databases (Postgres, MySQL)

  .

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work both independently and effectively as part of a team.

Benefits:

• Competitive salary and comprehensive benefits package.
• Significant opportunities for professional growth and development within a cutting-edge field.
• A collaborative and supportive work environment that fosters innovation.