MLOPS Engineer

Mindlance; Plano (TX); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm seeks a skilled Machine Learning Engineer to develop and optimize AI models using TensorFlow and PyTorch. You will build AI pipelines, analyze datasets, and collaborate with teams to deliver impactful solutions. A solid programming background in Python, R, or Java is essential, along with experience in AI deployment on cloud platforms. The role emphasizes problem-solving skills and understanding of CICD environments, particularly AWS.

Qualifications

• Strong programming skills in Python, R, or Java.
• Hands-on experience with machine learning algorithms and frameworks.
• Familiarity with major cloud platforms for AI deployment.
• Strong analytical and problem-solving skills.
• Solid foundation in mathematics and statistics.

Responsibilities

• Develop and optimize machine learning and deep learning models using TensorFlow or PyTorch.
• Build and maintain AI pipelines, from data processing to model deployment.
• Analyze complex datasets to uncover insights and improve model performance.
• Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.

Skills

Python

R

Java

MLOps tools

Spark

Hadoop

Databricks

NLP

computer vision

Job description

Location- Reston, VA(3-4 Days Onsite in a week)

Duration-6+ Months

Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.

Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.

Build and maintain AI pipelines, from data processing to model deployment.

Analyze complex datasets to uncover insights and improve model performance.

Ability to analyze complex problems and develop effective AI-driven solutions.

Deploy AI solutions on cloud platforms such as AWS.

Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.

Deep understanding of deploying AI applications within a CICD environment, specifically AWS.

Preferred qualifications:

Experience with MLOps tools (e.g., MLflow, Kubeflow).

Knowledge of big data technologies (Spark, Hadoop, Databricks).

Background in NLP, computer vision, or other advanced AI techniques.

Required qualifications:

Strong programming skills in Python, R, or Java.

Hands‑on experience with machine learning algorithms and frameworks.

Familiarity with major cloud platforms for AI deployment.

Strong analytical and problem‑solving skills.

Solid foundation in mathematics and statistics.

EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.