ML Tech Lead

• Develop and deploy cutting-edge machine learning solutions with the help of a team of data scientists and machine learning engineers
• Work with cross-functional teams, offer technical direction, and spearhead the development of machine learning systems
• Incorporate ML solutions into operational systems while working with software engineering teams
• Create and put into practice ML development best practices, coding standards, and quality control procedures
• Thorough testing and monitoring should be done to make sure that ML systems are reliable, scalable, and performant
• Technical and non-technical stakeholders should be presented with documentation of technological solutions, methodology, and findings
• Keep up with market developments and make suggestions for new techniques and technologies
• Make sure security measures are created and put into place, and that data management procedures are followed
• Maintain an acute awareness of the most recent developments in the area while ensuring the quality and scalability of ML solutions
• Work on developing the solutions within the Azure ML ecosystem
• Work together to identify the objectives of the ML project and to understand business requirements with stakeholders, product managers, and domain experts
• Team members can improve and develop professionally if you give them technical advice and coaching
• Drive the development of scalable and effective machine learning systems, including their architecture and implementation
• Initiate, oversee, and implement data pipeline design, architecture, and execution for effective data intake, preprocessing, and feature engineering
• Educate yourself on the most recent ML frameworks, tools, and methodologies
• Ensure that the evaluation and selection of suitable ML models and algorithms are based on the needs and restrictions of the project

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 8-10+ years of relevant experience as an ML Tech Lead, data scientist, or in a leadership position involving ML
• Extensive knowledge of machine learning frameworks, algorithms, and methods
• Proficient experience with programming languages, like Python, R, Java, or C++
• In-depth knowledge of well-known machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
• Fundamental understanding of the Azure ML environment
• Working knowledge of the Azure cloud environment (Azure, Databricks) and how to set up a Data lake in it
• Solid understanding of the principles and guidelines for software engineering
• Established leadership abilities with the ability to guide and motivate a team
• Powerful analytical and problem-solving skills
• Excellent teamwork abilities to work well with cross-functional teams
• Nice to have some background in developing scalable and distributed machine-learning systems
• Experience with DevOps methodologies, big data technologies, and cloud platforms is a plus.
• Some contributions to the ML community through publications, patents, or other means is nice to have
• Expertise in leading customer dialogues, requirements gathering/workshop sessions, and product demonstrations
• Prior experience working in the healthcare sector is desirable
• Prolific project management and leadership experience in remote work
• Excellent spoken and written English communication skills