Machine Learning Archives - AI Jobs Latest

Analyst – Innovation & Cloud Development Centre, Deloitte

Staff AJL — Thu, 10 Oct 2024 16:47:15 +0000

Company	Deloitte
Job title	Analyst – Innovation & Cloud Development Centre
Job location	Kuala Lumpur/Penang, Malaysia
Type	Full Time

Responsibilities:

Be involved in systems and technology design and development, working with the technical leads and architect to design, build, integrate, and test the system to meet business and technical requirements.
Technical analysis and support adhering to delivery methodologies (Agile, Waterfall, Hybrid) and policies/standards in developing IT solutions.
Be part of technical decision-making, documentation, and communication.
Collaborate with Project Managers, Technical Leads, and development team to ensure completeness of work per agreed implementation plan.
Validate that the system build fulfills business and technical requirements.
Assess and diagnose problems, identify root causes of technical problems, recommend solutions, and facilitate the implementation of these solutions.
Opportunity to work on low-code development, leveraging on your high-code experience.
Demonstrate a strong commitment to personal learning and development.
Understand how our daily work contributes to the priorities of the team and business.
Understand the set expectations and demonstrate accountability in keeping personal performance on track.
Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
Demonstrate an appreciation for working with others.
Understand what is fundamental to Deloitte’s success as a business.
Demonstrate integrity and an awareness of strengths, differences, and personal impact.
Develop their understanding of Deloitte and offer a fresh perspective.

Requirements & Skills:

Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or any related discipline.
Knowledge in programming including Java, .NET, SQL, JavaScript, ReactJS, Mobile, API, Cloud, Python
Knowledge of systems engineering and development lifecycle
Openness to learn new technology, eagerness to adapt, and high drive to ensure high quality and on-time delivery.

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Senior Data Scientist, SAP

Staff AJL — Thu, 10 Oct 2024 16:13:43 +0000

Company	SAP
Job title	Senior Data Scientist
Job location	Shanghai, China
Type	Full Time

Responsibilities:

Assess requirements necessary for developing ML services in the Support Delivery domain.
Develop and optimize state-of-the-art machine learning algorithms that provide robust situational assessment and predictive capabilities.
Explore, understand, and implement most recent AI technologies, like Large Language Models, Generative AI, etc.
Design and develop large scale training and deployment systems, using multiple GPU’s and servers, dedicated H/W, multi-threading, and parallelization.
Collaborate with data engineers to develop data and model pipelines.
Be able to comfortably handle and analyze real-world data sets.
Strive for automation and cloud operation readiness.
Improve quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation.

Requirements & Skills:

University degree in Computer Science, Statistics, Data Science, or a related technical field
Strong analytical and problem-solving skills with a passion for Machine Learning
Solid foundation in computer science, with strong competencies in algorithms, data structures, object-oriented programming, design patterns, multi-threaded programming, and software design principles
Knowledge of programming languages, preferably Python
Experience with at least one of the following cloud-related technologies & concepts: Kubernetes, Docker, Kubeflow or other IaaS/PaaS environments
Extensive knowledge in building, validating and evaluating machine learning models, as well as experience in machine learning evaluation metrics and best practices
Practical experience in architecting, training and analyzing deep learning models
Hands-on experience in working with big-data and SQL/no-SQL technologies such as PostgreSQL, Spark, Redis, ElasticSearch
Fluent in English, both verbal and written communication skills
Creative thinking, willingness and ability to learn quickly new concepts and technologies
Strong team player
Experience with version control tools such as git
Experience handling real-world large-scale data sets
Familiar with modern DevOps methodologies and ability to establish CI/CD process
Experience with Agile
5+ years of development experience, including 3+ years of commercial/academic machine-learning experience

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Machine Learning Research Engineer, NUS

Staff AJL — Thu, 10 Oct 2024 16:08:57 +0000

Company	NUS
Job title	Research Engineer (Machine Learning)
Job location	Kent Ridge Campus, Singapore
Type	Full Time

Responsibilities:

Develop digital twin models for ventilators using machine learning and AI modeling techniques
Run simulations to obtain the ventilator’s performance in varying conditions
Draw insights through data modeling & analysis to improve the ventilator’s performance (e.g. safety, reliability)

Requirements & Skills:

Degree, or Master’s degree in a relevant discipline, e.g. electrical/electronic engineering, computer engineering, computer science, etc.
Knowledge in machine learning, deep learning, optimization, control systems, IoT/sensor systems, data analytics or closely related field
Familiar with deep learning libraries (Keras, Tensorflow, PyTorch)
Excellent analytical and computational skills
Software programming in Python, C++ and knowledge of Cloud Computing
Understanding of software engineering principles
The candidate must have the ability to work independently as well as part of a team with strong initiatives and have the curiosity to explore the unknown.
Open to Fixed Term Contract

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Machine Learning Engineer, GDIT

Staff AJL — Wed, 09 Oct 2024 16:36:58 +0000

Company	GDIT
Job title	Machine Learning Engineer
Job location	Springfield, Virginia, US
Type	Full Time

Responsibilities:

Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.
You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.

Requirements & Skills:

Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
Demonstrated professional or academic experience building secure containerized Python applications including hardening, scanning, and automating builds using CI/CD pipelines.
Demonstrated professional or academic experience using Python to query and retrieve imagery from S3-compliant API and perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.
Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
Demonstrated professional or academic experience with version control systems such as GitLab.
Demonstrated experience leveraging CUDA for GPU-accelerated computing.
Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.
Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT.
Demonstrated academic or professional experience communicating methodological choices and model results.
Demonstrated experience with verification and validation test benches.
Demonstrated experience with Explainable AI (XAI) techniques.
Demonstrated experience with Open Neural Net Exchange (ONNX).

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Senior AI Engineer, WEX

Staff AJL — Wed, 09 Oct 2024 16:17:55 +0000

Company	WEX
Job title	Senior AI Engineer
Job location	Brazil – Remote
Type	Full Time

Responsibilities:

A highly motivated engineer who loves working on small, highly performing-teams
Collaborative, a solid communicator, and work well with your team and stakeholders.
A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don’t go your way.
Are comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare.
Design, implement, and maintain robust and scalable full-stack components that enhance the functionality of our products.
Work closely with machine learning engineers to integrate AI components and models into WEX systems.
Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery.
Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications.
Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders.
Build, maintain, and support the AI Platform components.

Requirements & Skills:

Solid experience of application development experience.
Good experienc of AI/ML experience.
Bachelor’s Degree in Computer Science, Engineering, or a related field.
Proven experience as a Full Stack Software Engineer with a focus on building scalable solutions.
Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform.
Experience applying DevOps principles to software development processes.
Proficiency in version control systems, particularly GitHub.
Strong knowledge of CI/CD pipelines for automated testing and deployment.
Experience running production AI/ML workloads at scale on tools like Sagemaker, Dataiku, DataRobot, etc.
Hands-on experience designing and implementing RESTful APIs.
Excellent problem-solving skills and a proactive approach to addressing challenges.

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Product Manager GenAI, Talan

Staff AJL — Tue, 08 Oct 2024 16:32:58 +0000

Company	Talan
Job title	Product Manager GenAI
Job location	Paris, France
Type	Full Time

Responsibilities:

Lead the development of an internal GenAI application.
Participate in the development of new features based on image generation and the integration of new RAGs.
Work closely with business teams to optimize LLM performance by diversifying data sources (open source text, Google Drive, etc.).
Be proactive about adding new features, including multimodal support, and contribute to scouting new technologies.
Work in collaboration with Data Science teams.

Requirements & Skills:

Minimum 10 years of experience, including at least 1 year on GenAI projects.
Mastery of the Langchain framework, expertise in management and optimization of LLMs, and ability to work on connectors for information cutting.
Ability to actively listen to business needs, and proven experience as a Product Manager in complex technical environments.
Knowledge of open text sources and data management tools such as Google Drive.
Fluent in French and English.

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