What are the responsibilities and job description for the Machine Learning Engineer position at ENTERPRISE APPLICATIONS CONSULTING?
Job Description
Job Description
Job Title : Machine Learning Engineer
Job Description : Responsibilities :
1. Machine Learning Model Development :
o Design, develop, and deploy machine learning models and pipelines for
various business applications.
o Ensure the models are scalable and integrate well with existing systems.
o Optimize machine learning algorithms to work within real-world
constraints.
2. Data Handling and Processing :
o Collaborate with data engineers and scientists to explore and prepare data
for modeling.
o Enhance data collection procedures to include information that is relevant
for building analytic systems.
o Process, clean, and verify the integrity of data used for analysis.
3. Testing and Performance Tuning :
o Evaluate model effectiveness through testing and validation.
o Continuously improve models based on results and business feedback.
o Implement best practices to maintain accuracy and reliability of models.
4. Collaboration and Implementation :
o Work closely with software engineers to integrate machine learning
models into larger systems.
o Collaborate with product teams and business stakeholders to understand
their needs and provide AI-driven solutions.
5. Research and Development :
o Stay updated with the latest machine learning techniques and
approaches.
o Conduct research to innovate and implement new ML techniques and
frameworks.
o Document machine learning processes, models, and programs.
Skills and Qualifications :
Education : Bachelors or masters degree in Computer Science, Machine
Learning, AI, or related fields.
Technical Skills :
o Proficiency in programming languages such as Python, Java, or Scala.
o Strong experience with ML libraries and frameworks (e.g., TensorFlow,
Keras, PyTorch, Scikit-learn).
o Familiarity with big data technologies (e.g., Hadoop, Spark).
o Experience with data structures, data modeling, and software architecture.
Analytical Skills : Strong problem-solving skills with a focus on complex data
analysis and machine learning solutions.
Communication Skills : Excellent interpersonal and communication skills to
effectively collaborate with diverse teams.
Adaptability : Ability to adapt to new challenges in a fast-paced environment.
Experience :
Proven experience as a Machine Learning Engineer or similar role.
Hands-on experience in machine learning algorithms and model development.
Work Environment :
Typically situated in a tech-forward office environment, with potential remote work
options.
Collaborative atmosphere with frequent interactions with data teams and
business units.
Requires managing multiple projects and meeting tight deadlines.