[Apply Now] Lead ML Engineer

1 day ago

Delhi, India ANSR Full time

About 4flow:
Headquartered in Berlin, Germany, 4flow provides consulting, software and services for logistics and supply chain management. More than 1300 team members leverage their supply chain expertise and IT know-how to best serve their customers at 20+ locations around the world.
4flow develops and implements lean, agile and sustainable supply chain strategies that enhance operational efficiency and drive cost savings for businesses worldwide. Their clients span across multiple high-impact industries including vehicle manufacturers and suppliers, consumer goods and retail, industrial machinery manufacturers, medical technology, basic materials, spare parts, renewable energy, high-tech and telecommunications, and logistics service providers (LSP).

Lead ML Engineer
As a Lead ML Engineer, you will architect and lead the development of advanced machine learning systems and infrastructure. You will guide technical strategy, mentor engineers, and ensure the delivery of scalable, high-impact AI solutions across the organization.

Tasks:
Lead the design, development, and deployment of production-grade ML models and pipelines
Define and implement best practices for ML Ops, model monitoring, and lifecycle management
Collaborate with cross-functional teams to align ML solutions with business and product goals
Evaluate and integrate LLMs, NLP, and generative AI models into products
Drive innovation in big data processing using tools like Spark, Databricks, and Delta Live Tables
Guide the use of cloud platforms (AWS, Azure, GCP) for scalable ML infrastructure
Mentor junior engineers and foster a culture of technical excellence

Professional Requirements and Expertise:
9+ years of experience in ML solution development and deployment
Bachelor’s or master’s degree in computer science, Machine Learning, Artificial Intelligence, or a related technical field
Deep expertise in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers
Strong understanding of machine learning algorithms, data engineering, and ML Ops
Experience with big data tools like Spark, Databricks, or Delta Live Tables

Good to Have:
Experience with LLMs & NLP
Experience with AWS, Azure, or Google Cloud Platform

Personal Skills:
Visionary and hands-on technical leader
Strong mentoring and team development capabilities
Strategic thinker with a proactive mindset
Ability to work independently and collaboratively within cross-functional teams
Genuine motivation to contribute to 4flow’s success and alignment with company culture and values

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