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MLOps Engineer Job Opening In Woodlawn – Now Hiring Omm IT Solutions


Job description

Job Description
Please Note:
  • This is a 100% Onsite position and 5 days a week
  • Selected candidate must be willing to work on-site in Woodlawn, MD 

Key Required Skills:
  • Machine Learning, ML model deployment, Python, CI/CD for ML (Jenkins, Sagemaker), Cloud Platforms (AWS) and related ML services, and data pipeline management.
Position Description:
  • Ensure that ML models can be effectively developed, deployed, managed, and monitored in production environments.
  • Productionize ML models – integrate trained ML models with Production systems
  • Build and manage ML pipelines – design, build, and maintain automated pipelines including data ingestion, data preprocessing, model training, validation, and deployment utilizing CI/CD practices.
  • Infrastructure management – set up and manage infrastructure for ML workloads utilizing cloud platforms and containerization technologies.
  • Monitoring and alerting – implement monitoring systems to track performance of ML models in Production
  • Automation – automate various tasks within the ML workflow to improve efficiency and reproducibility
  • Performance optimization – identify ways to optimize the performance, efficiency, and scalability of ML models and their supporting infrastructure.
  • All other duties as assigned or directed.

Requirements

Skills Requirements:
Basic Qualifications
  • Bachelor's Degree and 12+ years' experience in Computer Science, Mathematics, Engineering or a related field.


  • Masters or Doctorate degree may substitute for required experience
  • Minimum 5 years of hands-on experience designing, developing, implementing and maintaining ML workflows and data pipelines
  • Must be able to obtain and maintain a Public Trust.

    Contract requirement.


Required Skills
  • Strong foundation AI, ML and LLMs including understanding of concepts, algorithms, model training and frameworks (TensorFlow, PyTorch, scikit-learn).


  • Strong programming skills, especially Python, and relevant libraries (scikit-Learn, TensorFlow, PyTorch, NumPy, Pandas).
  • Strong understanding of MLOps principles and experience with MLOps platforms and tools (e.g., AWS Sagemaker, MLflow, Kubeflow, DataRobot).
  • Experience with CI/CD tools (Jenkins required), and containerization (Docker) and orchestration (Kubernetes) for managing and scaling applications.
  • Proficiency with cloud platforms (AWS preferred) including ML services, Infrastructure as Code (CloudFormation, Terraform), compute, storage (S3, EFS), and networking.
  • Knowledge of data engineering fundamentals including understanding of data pipelines, data storage (PostgreSQL, MySQL, MongoDB), and data processing frameworks (Apache Spark).
  • Strong communication, collaboration, problem-solving, analytical, and critical thinking skills.

Desired Skills
  • Prior experience with federal or state government IT projects.


  • Ability to design scalable, reliable, and efficient ML systems.
  • Willingness to continuously learn new technologies and best practices.
  • Familiarity with other programming languages such as Java and Scala.
  • Experience with Natural Language Processing (NLP) for text and language generation.




Requirements
TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, AWS Sagemaker, MLflow, Kubeflow, DataRobot

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your MLOps Engineer Potential: Insight & Career Growth Guide


Real-time MLOps Engineer 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 MLOps Engineer in Woodlawn, United States, highlighting market share and opportunities for professionals in MLOps Engineer roles.

164493 Jobs in United States
164493
3 Jobs in Woodlawn
3
Download Mlops Engineer Jobs Trends in Woodlawn and United States

Are You Looking for MLOps Engineer Job?

Great news! is currently hiring and seeking a MLOps Engineer to join their team. Feel free to download the job details.

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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 Omm IT Solutions 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 MLOps Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Woodlawn. 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.

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Key qualifications for MLOps Engineer typically include Computer Occupations 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 MLOps Engineer Job Success

Omm IT Solutions interview tips for MLOps Engineer

Here are some tips to help you prepare for and ace your MLOps Engineer job interview:

Before the Interview:

Research: Learn about the Omm IT Solutions'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.

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

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

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your MLOps Engineer interview at Omm IT Solutions, 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 Omm IT Solutions'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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