Senior Machine Learning Engineer jobs in ADP-Chennai.

Work Location(s): Chennai, Tamil Nadu, IN

Key Responsibilities:

Work with our engineering and product teams, translating their requirements and
applying the latest machine learning techniques to solve real business problems,
improve our platform, and develop new capabilities
● Participate in interviews and help build a world-class team of engineers
● Design, build, and train custom models and evaluate model performance
● Help the team deploy production ready models to customers, to learn from customer
feedback and make frequent model improvements
● Contribute to the overall architecture and implementation of our ML infrastructure, data
pipelines, inference engine(s), APIs, and products
● Collaborate with our engineering and product teams to understand their machine
learning related needs and to provide guidance and support where necessary
● Provide mentoring and technical direction for more junior team members where needed
● Follow best practices and share them with the team
● Participate in functional, technical, and code reviews
● Work in an Agile environment

Skill set:

Minimum Qualifications :
● 3+ years of hands-on experience working with neural networks and other statistical
techniques and successfully delivering and running such systems in production
● A Masters or Ph.D in Computer Science or related field, concentration in Machine
Learning is preferred
● Hands-on experience with ML infrastructure development and support using cloud
computing technologies
● Fluent in using a neural network framework such as TensorFlow, Caffe, PyTorch, or
Theano with understanding of back-propagation and other mathematical concepts
employed by modern ML methods
● Fluent in Python, including experience with packages such as NumPy and pandas
● Proficient with SQL, notably writing and optimizing queries
Preferred Qualifications
● Experience in data engineering and architecture
● Experience in applying machine learning for a global-scale enterprise or consumer
application
● Demonstrated knowledge and ability working with AWS, Google Cloud, or other
cloud-based solutions to train models, set up data pipelines, and set up inference
engines
● Experience in microservices, Kubernetes, Docker, or other containerizers
● Working knowledge of Node.js, JavaScript, and related technologies and frameworks
● Experience with developing ML methods in Jupyter Notebooks environment
● Experience with developing NLP models, e.g. for chatbots or automated assistants
● Knowledge of Continuous Integration & Delivery methodologies
● Excellent problem-solving skills especially debugging of complex software systems
● Excellent written and verbal communication skills
● A passion for applying latest technologies into the development of innovative features
and products
● A collaborative attitude and demonstrated team-working ability
● Self-motivated with a strong passion for learning

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