Lead Data Scientist

4 weeks ago

Singapur, Singapore Srijan Full time

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. 

The Role

Job Summary:

We are seeking a dynamic Lead Data Scientist to lead our data science and engineering initiatives within the media domain. This pivotal role requires an experienced professional capable of navigating the intricacies of the end-to-end data science and modeling lifecycle, having a strong problem-solving ability and a knack for statistical analysis along with a strong emphasis on Machine Learning Operations (MLOps) practices. If you’re also able to align our data products with our business goals, we’d like to meet you.

 

Position Overview:

As the Lead Data Scientist, you will be responsible for leading a team of data scientists and collaborating with cross-functional teams to drive the end-to-end data science and modeling lifecycle, emphasizing MLOps principles. Your primary focus will be on researching, developing, and implementing AI solutions, particularly in the extraction of metadata from diverse media content, including audio, video, image, and text. You will be instrumental in shaping and executing the data science strategy, ensuring the successful deployment and orchestration of models in collaboration with Operations teams.

 

Responsibilities:-

  • Demonstrated expertise with 6-10 years of hands-on experience in AI/ML, NLP, Python, and cloud platforms such as AWS/Azure/GCP.
  • Proven proficiency in advanced technologies including Computer Vision, Machine Vision, Speech Recognition, and Docker.
  • Lead the ideation, research, and development of sophisticated machine learning models for media content analysis, employing cutting-edge techniques such as natural language processing, computer vision, speech recognition, and deep learning.
  • Incorporate MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle.
  • Exhibit agility by rapidly prototyping solutions and building models to assess the feasibility of various solution approaches.
  • Develop robust, scalable, and production-grade data pipelines and machine learning models to address key business problems, regardless of the volume or diversity of data sets.
  • Construct scalable AI/ML solutions, tailored to specific requirements, spanning NLP, Computer/Machine Vision, Speech Recognition, Clustering, Segmentation, and Deep Learning.
  • Optimize models for performance, taking into consideration real-world constraints and requirements.
  • Write reusable code following best software engineering practices, accommodating common design patterns and Object-Oriented Programming (OOPs) principles.
  • Establish and enforce coding standards, documentation practices, and model version control within the team.
  • Spearhead discussions with Operations teams, ensuring the smooth deployment, optimization, and orchestration of machine learning models.
  • Work closely with cross-functional teams, including engineering, product management, and content creation, to gather requirements and deliver impactful, technically sound solutions.


Ideal Profile

Must Have Skills:

  • 6+ years of relevant data science experience in a delivery focused team
  • Strong coding ability in Python, familiarity with relevant libraries (e.g., TensorFlow, PyTorch), and general software development skills (source code management, debugging, testing, deployment, etc.) is a must
  • Knowledge of both traditional as well awareness with existing state of the art methods in Machine Learning, NLP, Computer Vision, Speech Recognition, Transfer Learning, Text Analysis, Information Extraction and Retrieval with a proven track record of applying them to real problems.
  • Experience with end-to-end model deployment and orchestration in production environments.
  • Experience in cloud computing like AWS is a plus
  • Experience in microservice based architectures with model containerization using Docker is a must (Kubernetes experience will be an added advantage)
  • Ability to communicate the requirements and deliverables effectively to both technical teams as well as non-technical domain specialists
  • Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment
  • Strong verbal and written communication skills to establish proper communications within the team and clients


What's on Offer?

  • Great work environment
  • Work alongside & learn from best in class talent
  • Work within a company with a solid track record of success

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