Job Description

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:

• 6+ years of experience in ML solution development and deployment
• Bachelors or Masters 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
• Experience with AWS.

Good to Have:

• Experience with LLMs & NLP
• Experience with 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 4flows success and alignment with company culture and values

Skills Required