Job Description
Responsibilities
- Work with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.
- Researching and developing scalable Generative-AI solutions using AWS Bedrock platform, Large Language Models (LLM) and prompt engineering for factory / engineering usage
- Deploy models and solutions using DevOps / MLOps tools such as Docker, Kubernetes, MLflow, AWS & Edge to ensure scalability and reproducibility.
- Collaborate in cross-functional teams to integrate AI / ML algorithms, image analytics and software into the Analytics systems (including chatbot / AR / Computer Vision) as well as develop prototypes.
- Design, develop, deploy and maintain Analytics Systems / solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, AR, Computer vision and Visualization / Web App) independently and delivered on time.
- Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
- Translate User Request into Analytics Solution from a system perspective. Prepare and deliver presentations with data visualizations and business conclusions.
- Constantly learn new front tier technology and creatively apply / deliver solutions to manufacturing operations to meet KPIs.
Qualifications
Qualification
Masters or Bachelor Degree in Computer science, data science, computer engineering, information technology, or relevant work experience and education background.We will also consider applicants with the equivalent combination of education, technical expertise, training, or work experience.Preferably minimum 3-4 years of working experience in related field (Generative-AI & Chatbot).Skills
Required : Python, LLM, Prompt Engineering, Chatbot, Generative -AI, Augmented Reality, Computer VisionAdded Advantage : Agentic AI and Multi-Agent architecture.Practical experience in application of ML and Deep Learning algorithms.SQL, Relational databases, Big Data platforms, AWS Redshift, PRESTO, ETL, SSIS etc.Some experience with web front end development : .NET, VB.NET, C#, HTML / CSS, JavaScript, NodeJS, JQuery & AngularAbility to learn quickly and become productive on new technologies, APIs, development languages and frameworks.Experience in data mining, data wrangling, and handling JSON, CSV files.Hands on experience with Docker, Kubernetes, Edge computing and AWS.. etcExperience with data visualization methods (Spotfire, PowerBI, Grafana)The ability to problem solves and provide complex solutions with minimal supervisionKnowledge of Agile development, SCRUM and Application Lifecycle ManagementExcellent communications and presentation skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives. A great team player.Self-motivated, strong ownership and ability to work independently with minimal supervisionAdditional Information
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