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Big Data/ Machine Learning Engineer Job Opening In Iselin New Jersey – Now Hiring Han IT Staffing


Job description



Role: Big Data/ Machine Learning Engineer

Any Visa is okay

Location: Malvern, PA (Hybrid- 3 days a week onsite & must be willing to relocate and be onsite on day 1)

R esponsibilities

  • We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team.

    You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs).

    The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.


  • Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.


  • Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.


  • Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.


  • Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.


  • Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.


  • Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.




Qualifications




  • Around 8 years of relevant work experience.


  • At least 6 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).


  • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.


  • Strong understanding of cloud technologies, including AWS and Azure.


  • Experience with API design and development is a plus.


  • Solid understanding of software engineering principles, including design patterns, testing, security, and version control.


  • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.






Required Skill Profession

Other General


  • Job Details

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Unlock Your Big Data Potential: Insight & Career Growth Guide


Real-time Big Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Big Data in Iselin, New Jersey, United States, highlighting market share and opportunities for professionals in Big Data roles.

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2095 Jobs in Iselin, New Jersey
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Are You Looking for Big Data/ Machine Learning Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Han IT Staffing adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Big Data/ Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Iselin New Jersey. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Big Data/ Machine Learning Engineer?

Key qualifications for Big Data/ Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Big Data/ Machine Learning Engineer Job Success

Han IT Staffing interview tips for Big Data/ Machine Learning Engineer

Here are some tips to help you prepare for and ace your Big Data/ Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Han IT Staffing's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Big Data/ Machine Learning Engineer interview at Han IT Staffing, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Han IT Staffing's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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