Senior Software Engineer (ML/Data Engineer)
We are Invent Analytics
Invent Analytics is a fast-growing AI company providing Supply Chain and Pricing SaaS Solutions to the retailers around the world. This is an exciting time at Invent, as we are growing our client base, our product portfolio, and our teams to revolutionize the supply chain planning industry.
We are a group of bright, kind, and goal-oriented people working together to make retail better. We take pride in what we do. As a provider of award-winning enterprise-AI SaaS solutions that serve a growing international business with customers across the U.S., Europe, the Middle East, and East Asia, we make a measurable and meaningful difference for our customers every day.
Headquartered in the United States and with offices around the world, our team of 250+ people consists of young engineers and data scientists from the top CS and engineering programs working remotely out of our Istanbul, Philadelphia, Amsterdam, and Dubai offices.
For more information, visit www.inventanalytics.com
About Role
For our journey ahead, we are looking to build up our team of bright minds further, and we are looking for Senior Software / Machine Learning Engineers to join our growing team globally. Europe and US based remote positions are available.
We are seeking highly skilled and motivated Senior Software / 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.
Responsibilities:
- Develop “best-in-class” architecture, design and production artifacts by ensuring that the services and the components are: well-defined and modularized, secure, scalable, reliable, reusable, diagnosable, and actively monitored.
- 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 to deploy, maintain and monitor production workflows and services to provide continuous delivery with high quality and actionable telemetry data.
- Stay educated on existing and state of the art technologies, and do proof of concept studies to evaluate technology fits relevant to our product requirements.
- 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, facilitates the discussion and alignments on architectural and strategic decisions.
- 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, ensuring high availability and performance.
- Deploy Generative AI and Traditional Machine Learning models into production and ensure seamless integration, scalability, and monitoring.
- Collaborate with data scientists to refine prompts that guide AI models in generating accurate and relevant outputs, tailoring prompts.
- Mentor junior developers with coaching and implementing orientation processes.
Technical Qualifications:
- 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
Preferred Qualifications
- 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.
Life at Invent Analytics:
- Join great teammates across the globe: We consider ourselves anything but average!
- We love what we do: Our team has an exciting tech stack; Pyspark, Databricks, Python, and so on
- We work flexibly and remotely: Instead of spending time in traffic, we can spend this time with ourselves and our loved ones,
- Flat organization with a very strong entrepreneurial culture,
- 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 Analytics, 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, bring to buddy!
- 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. Also, we love gaming and so have a Game Master at Invent! (We really mean it when we say we love it!)
- At Invent Analytics 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! Invent Analytics gives you the opportunity to make a real difference in people's lives. Our Invent Social Responsibility Club works for educational scholarships and donations, supports young talents by sponsoring them, raises money by running on behalf of non-governmental organizations in marathons etc.
- We believe that we will be more productive when we achieve our work-life balance. We support the Invent social clubs for their hobbies; painting, tennis, football and more!
Diversity, Equity and Inclusion
Invent Analytics provides equal employment opportunities, and we strive for a diverse and inclusive workplace. We are together without discrimination of nationality, gender, belief, age, disability, marital status, sexual orientation. For us, diversity means embracing all the features that make us unique.
Corporate Social Responsibility
Working at Invent Analytics gives you an opportunity to make a difference in people’s lives. Invent Social Responsibility Club activities include;
● Grants scholarships at four different educational institutions
● An Earthquake fund where Invent matches employee donations 1:1 for underprivileged students
We look forward to meet you!
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