Vacancy description
treasure ai
India, India
Senior Machine Learning Engineer - AI in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
Treasure AI
At Treasure AI, we're on a mission to radically simplify how companies use data to create connected customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that's safe, flexible, and secure.
We are thrilled that Gartner Magic Quadrant has recognized Treasure AI as a Leader in Customer Data Platforms for 2024! It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting-edge AI and real-time capabilities. Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are seeking strong ML engineers to join the ML team and help us sharpen the ML vision and deliver more solutions to satisfy our customers' needs. You will be working closely with other ML engineers and people from cross-functional teams.
Are passionate about productizing ML products, knowing how to make practical trade-offs when turning ideas into working software.
Excel in adapting communication styles and simplifying complex technical concepts for diverse audiences, ensuring clear and effective communication.
This is an ideal position for those with not only data science and machine learning skills, but also cloud service engineering skills for developing, deploying, and operating these critical ML products.
Design and develop ML models or solutions for our client CDP implementation.
~ Own specific technical areas, drive and execute ML product projects, track progress and
mitigate risks by collaborating closely with product managers, UX designers, architects,
Contribute to defining system architecture for the ML products and implementing specific
components to enhance the user experience.
~ Design and implement performant, scalable ELT data pipelines, considering an ML model's
lifecycle (training and inference).
~ Take responsibility for technical problem solving and meeting ML objectives creatively in
Participate in the on-call rotation for production support.
Drive best practices including ML research methodologies, coding standards, code reviews,
source control management, development processes, build processes, testing and release,
Advanced degree in computer science, data science, machine learning, or related field, or
equivalent work experience.
~6+ years of professional experience in software engineering designing and building ML-
driven products, with at least 3 years focused on production ML systems.
~ Fundamental knowledge of Data Engineering and extensive experience in developing and
deploying ML models, as well as building and maintaining ML pipelines and products.
~ Experience in applying scientific method: hypothesis formulation and testing, exploratory
data analysis, cross-validation, reproducible research, structured reporting/documentation in
Experience designing, deploying, and operating scalable ML systems in production. includes responsibility for model selection, performance benchmarking, and lifecycle
Proficiency in Python and general ML ecosystem tooling in data processing and modelling
(Experience in designing and building products using public cloud services such as AWS.
Excellent verbal and written communication skills in English, and ability to convey research
findings and implications to both technical and non-technical audiences.
~ Remote Work
Travel Requirements
We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Your voice will be heard, and we will help amplify it.
We cannot consider your candidate(s) without a contract in place. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what's listed here.
Treasure AI moves marketing and data teams beyond legacy martech SaaS toward autonomous, ROI-driven AI agents that operate continuously, while keeping the human in the loop. With built-in governance, Treasure AI is powered by an always-up-to-date understanding of each customer for AI to act on.
Treasure AI's agentic experience platform is available across web, mobile, and desktop — bringing your customer intelligence to every workflow, wherever your team works.
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