Epicareer Might not Working Properly
Learn More

Machine Learning /MLOps Engineer

Salary undisclosed

Apply on


Original
Simplified

Job Title : Machine Learning /MLOps Engineer
Location : San Antonio TX (Onsite)
Duration /Term: Long Term Contract

Job Responsibilities:

  • Implementing Data Ingestion Pipelines: Build batch and streaming data pipelines at petabyte scale.
  • Building & Deploying AI/ML Models: Experience in developing and deploying machine learning / AI models in the cloud.
  • Machine Learning Experiments: Run ML tests, perform statistical analysis, and fine-tune using test results.
  • Research and Implement ML Tools: Experiment with and implement suitable ML algorithms and tools.
  • Data Infrastructure Support: Collaborate with stakeholders to address data-related technical issues and support data infrastructure needs.
  • Optimize and Scale Infrastructure: Enhance data delivery processes and redesign infrastructure for scalability.
  • Process Improvement: Identify, design, and implement internal process improvements for efficiency.

Preferred Skills & Qualifications:

  • 8+ Years of Experience: Minimum of 8 years in data engineering, including 3 years of MLOps experience.
  • Proficiency in Python and SQL: Strong coding skills, especially in Python and SQL.
  • ML Pipeline Expertise: Experience with data and ML pipeline implementation using Python, R, SQL, Docker, Kubernetes, and Domino Data Lab.
  • Experience with Snowflake, AWS, and Kafka: Expertise in cloud platforms and data tools.
  • Scheduling Tools: Experience with Control-M and Airflow for managing data workflows.
  • Agile Development: Familiar with Agile development methodologies.
  • Strong Mathematical & Algorithm Knowledge: Deep understanding of math, probability, statistics, and algorithms.
  • Problem Solving: Strong problem-solving and troubleshooting skills.
  • Interpersonal & Collaboration Skills: Excellent interpersonal and teamwork abilities.

Additional Skills:

  • Gen-AI and AWS SageMaker: Experience with Gen-AI and SageMaker is a plus.
  • Certifications: Snowflake and AWS certifications are preferred.
  • Financial Domain Experience: A plus for candidates with experience in the financial domain.

Key Skills : Data Ingestion Pipelines, Machine Learning / AI Models, Python & SQL Proficiency, Data & ML Pipeline Implementation, Cloud Platforms, Snowflake & AWS Certifications and Collaboration & Interpersonal Skills

VDart Group, a global leader in technology, product, and talent management, empowers businesses with comprehensive solutions through our four distinct, industry-leading business units With a diverse team of over 4,000 professionals across 13 countries, we deliver strong results across various industries, including Fortune 500 companies

Committed to "People, Purpose, Planet," we prioritize social responsibility and sustainability, as evidenced by our EcoVadis Bronze Medal Certification and participation in the UN Global Compact

Our dedication to delivering strong results has earned us recognition as a trusted advisor for businesses seeking to drive innovation and growth, including many Fortune 500 companies

Join our network! Partner with VDart Group to leverage our global network, industry expertise, and proven track record with a diverse clientele

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job