Advanced Machine Learning Expert
5 days ago
We are seeking an experienced Senior AI/ML Engineer to drive data-driven decision-making across our digital platform. With a strong focus on innovation and collaboration, you will play a key role in shaping the future of our company.
About NearSource TechnologiesNearSource Technologies is a leading provider of innovative solutions, committed to pushing the boundaries of what is possible. Our team of experts is dedicated to delivering cutting-edge technology that makes a real difference in people's lives.
Job DescriptionAs a Senior AI/ML Engineer, you will be responsible for developing and implementing advanced machine learning models to support product development and evidence-based decision-making. You will work closely with senior leaders across Product, Engineering, Product Marketing, and Design to ensure the effective use of ML models for business impact.
You will also be responsible for mentoring and guiding junior team members, ensuring best practices in model development, coding, and production deployment. In addition, you will deliver key ML-powered features for our Digital Customer Platform, ensuring high scalability, performance, and reliability.
Key Responsibilities- Develop and implement advanced machine learning models to support product development and evidence-based decision-making.
- Collaborate with senior leaders across Product, Engineering, Product Marketing, and Design to ensure the effective use of ML models for business impact.
- Mentor and guide junior team members, ensuring best practices in model development, coding, and production deployment.
- Deliver key ML-powered features for our Digital Customer Platform, ensuring high scalability, performance, and reliability.
To be successful in this role, you will need:
- A Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Physical Sciences, or a related quantitative field.
- At least 5 years of industry experience working on ML-based solutions, from concept to production.
- Proficiency with machine learning libraries and frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Hands-on experience with Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and Generative AI.
- Expertise in Natural Language Processing (NLP) for text analysis and understanding.
- Experience with big data platforms (Hadoop, Spark, Hive) and cloud environments (AWS preferred).
- Strong SQL and NoSQL database skills.
- Proficiency in at least one programming language (Python or Java).
- Experience with MLOps tools and techniques to streamline ML workflows and production deployment.
The salary for this position is approximately $150,000 per year, commensurate with experience.
BenefitsWe offer a comprehensive benefits package, including health insurance, retirement plan, and paid time off.
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