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Machine Learning Engineer

2 months ago

bangalore, India Asper.ai Full time
About Asper.ai:
Asper.ai, a Fractal company, revolutionizes decision-making by enabling interconnected and automated decisions at the intersection of demand and supply. With its 'autonomic decisioning' platform, Asper.ai drives growth by transforming organizations into adaptive, intelligent enterprises. Our solutions optimize workflows, increase bottom-line impact, and unlock true potential.
Why Join Us?
Thriving Environment : Be part of a fast-paced, growing startup with a supportive culture that enables personal and professional growth.
AI Revolution : Contribute to impactful AI-driven solutions using cutting-edge technology.
Great Team : Work with some of the brightest minds, build lifelong connections, and enjoy a fun, collaborative atmosphere.
Impact at Scale : Build products that will fundamentally transform how CPG operates today and redefine the future.
Role: Senior/Lead Machine Learning Engineer
Location : Bangalore | Hybrid
Reporting to : Director, Data Science
Direct Reports : N/A (Senior Individual Contributor Role)
Role Overview:
As a Senior/Lead Machine Learning Engineer , you will play a crucial role in designing and implementing advanced AI/ML systems, collaborating with data scientists and cross-functional teams to develop scalable machine learning models that meet business goals.
Key Responsibilities:
Model Development & Deployment :
Design and implement ML models in collaboration with data scientists.
Build, test, and deploy end-to-end ML pipelines, ensuring seamless integration into production.
System & Workflow Design :
Architect workflows for ML/LLM systems with a focus on scalability.
Maintain the necessary data infrastructure to support ML initiatives.
Technical Leadership :
Lead efforts on performance optimization, distributed systems scalability, and system architecture.
Provide expertise in training and fine-tuning Large Language Models (LLMs) and other GenAI tools.
Tool Utilization & Quality Assurance :
Use ML and MLOps tools (open-source and cloud-enabled) to enhance pipeline efficiency.
Ensure high-quality AI/ML systems with robust testing and validation practices.
Collaboration & Communication :
Work with data scientists, engineers, and business stakeholders to align solutions with organizational needs.
Translate technical insights into business-ready solutions.
Innovation & Efficiency :
Identify cutting-edge ML models and technologies to improve efficiency and reduce technical debt.
Stay updated with the latest advancements in AI/ML and introduce innovative approaches.
Experience Required:
Bachelor's or Master’s degree in Computer Science, Engineering, or related fields.
5-8 years of experience in machine learning engineering (preferably in AI product companies).
Proficiency in Python or Scala and expertise in ML frameworks like TensorFlow , PyTorch , scikit-learn , etc.
Strong understanding of data structures , algorithms , and software design principles .
Experience with cloud services (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Excellent problem-solving skills, attention to detail, and collaboration in fast-paced environments.
Strong communication skills to bridge technical and non-technical teams.
What We Offer:
A dynamic, growth-oriented environment with opportunities to make a meaningful impact.
Visit us at to learn more.