Demo

Machine Learning Engineer

ENTERPRISE APPLICATIONS CONSULTING
Weehawken, NJ Full Time
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/16/2025

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.

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