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We are seeking highly skilled and motivated Machine Learning Engineers to develop Generative AI powered solutions on supply chain analytics domains and deploy as production systems that are used by many retailers and enterprise customers. You will be challenged to build loosely coupled, highly scalable and robust software solutions that can change and grow with our needs. You will be working with data scientist groups and act as the bridge by building pipelines and workflows to process large scale data and productize GenAI based features, Retrieval Augmented Generation (RAG) systems using cutting edge cloud, big data and LLM technologies.
Job Responsibility:
Develop “best-in-class” architecture, design and production artifacts
Contribute to all phases of new developments including architecting, prototyping, productizing, testing and support
Adhere to and drive modern software engineering practices through code and design reviews, exercise DevOps principles
Stay educated on existing and state of the art technologies, and do proof of concept studies
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
Participates in design and code reviews within the feature areas
Play active role on end to end Machine Learning lifecycle, starting from prototyping to the deployment
Design, develop, and maintain RESTful APIs and backend services to support AI and machine learning models
Deploy Generative AI and Traditional Machine Learning models into production
Collaborate with data scientists to refine prompts that guide AI models
Mentor junior developers with coaching and participating code/design reviews
Requirements:
5+ years of work experience including SaaS systems
Bachelor’s degree or higher in a related field
Experience with Object Oriented Programming principles and strong coding skills on Python or any other OO programming languages
Skills on manually and programmatically interacting with data stored in traditional (relational) databases (MSSQL or PostgreSQL) as well as NoSQL databases and/or columnar data formats
Solid understanding of machine learning & data science concepts
Experience with developing and deploying end to end Machine Learning solutions including Machine Learning model serving strategies and inference services
Experience with Python Data Science / Machine Learning libraries NumPy, Pandas, sklearn, mlflow, lightgbm, xgboost, Tensorflow, PyTorch
Experience with Python backend development frameworks (e.g., Flask, Django, FastAPI)
Familiarity with LLMs and Generative AI technologies
Ability and motivation to self-teach while entering new domains and managing through ambiguity
Nice to have:
Knowledgeable on Deep Learning and its fields including NLP, Large Language Models, Computer Vision
Knowledgeable of modern big data solutions and distributed platforms for processing large and complex data sets
Familiarity on supply chain analytics problems such as demand forecasting, inventory and price optimization
Familiarity with DevOps, MLOps, DataOps, and Platform Engineering concepts
Knowledgeable on cloud services including containerization, serverless functions, message queues and orchestration frameworks
Knowledge of Continuous Integration / Continuous Deployment best practices and familiarity with DevOps technologies such as Docker, Jenkins and Terraform
What we offer:
We provide monthly fixed contribution to internet bill and fun packets (Netflix, Amazon Prime etc.)
We care about your health and support it with comprehensive private health insurance
We support your career growth with Udemy, Medium, HBR and other learning tools
At Invent.ai, you have extra off days for different occasions (birthday, moving day, maternity & paternity leaves etc.)
Great people make the perfect match: We have a powerful referral bonus for the friend you refer
Work hard, play harder, unlimited fun at work: All-day snacks at the office, team activities, social club meetings, annual retreats, monthly happy Friday drinks and other celebrations
At Invent.ai we celebrate and reward our successful teammates who have won awards in arts and sports
We care about social responsibility and that's why we have a community
We support the Invent social clubs for their hobbies