Intern developing machine learning tools within ADEO Services' AI Factory team. Collaborating on software quality and automation alongside a senior ML engineer.
About the role
- Senior Machine Learning Engineer responsible for optimizing data pipelines and integrating AI/ML solutions. Collaborating with teams to develop self-running AI systems and maintain model performance.
Responsibilities
- Develop and optimize complex data pipelines
- Integrate and optimize data and model pipelines within production environments
- Employ experimental methodologies to create self-running AI systems
- Collaborate with data science teams
- Perform data discovery and analysis of raw data sources
- Engage with internal stakeholders to understand business processes
- Write and maintain model monitoring scripts
- Stay updated with the latest advancements in AI/ML
Requirements
- Undergraduate degree or equivalent experience; a graduate degree is preferred
- Minimum of 8 years of relevant work experience
- At least 3 years of hands-on experience designing ETL pipelines using AWS services
- Proficiency in programming languages, particularly Python
- Familiarity with machine learning libraries and frameworks
- Strong understanding of cloud technologies, including AWS and Azure
- Experience with NoSQL databases
- Familiarity with Feature Store usage, LLMs, and GenAI
- Knowledge of Machine Learning Development Lifecycle (MDLC) best practices
Benefits
- Hybrid working model for flexibility
- Career development programs
- Access to training resources, ensuring continuous learning
- Collaborative and teamwork-focused culture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
ML Ops Engineer at Early Warning Services supporting predictive models through scalable infrastructure and tools. Collaborating with teams to enhance model productionalization and monitoring efficiency.
Engineer developing algorithms and optimizations for NVIDIA's inference and compiler stack. Working at the intersection of large - scale systems, compilers, and deep learning.
Staff Tech Lead Manager leading software engineers to optimize scalable machine learning infrastructure at Latitude AI. Driving technical solutions for complex data management and processing.
ML Ops Consultant developing AI - powered tools using Python and AWS. Joining a global team to automate tasks and improve decision - making in financial services.
Senior ML Engineer developing and scaling computer vision models for satellite analytics. Involved in the full ML R&D lifecycle in a dynamic startup environment.
Senior Data Engineer position in AI & Data Engineering team based in Hyderabad, India. Involves responsibilities related to data science and engineering.
Senior Machine Learning Engineer leading cloud - hosted geospatial processing initiatives at Fugro. Translating business needs into technical plans and mentoring junior engineers in an agile environment.
Applied AI Researcher driving the adoption of AI and ML technologies at Infotree. Contributing to various AI/ML domains within the financial domain.
AI/ML Intern collaborating on generative AI solutions development at CACI. Exploring LLM integration and prompt engineering while contributing to innovative AI applications.