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Senior Solution Engineer, C3.ai Inc.

Staff AJL — Tue, 03 Dec 2024 14:18:05 +0000

Company	C3.ai, Inc.
Job title	Senior Solution Engineer
Job location	Chicago, IL; Houston, TX, US
Type	Full Time

Responsibilities:

Develop and deploy full-stack, AI-based enterprise applications on the C3 AI Platform
Engage customer executives and domain experts to define and design production-ready application demos
Lead a development team and manage individual project deliverables
Mentor junior team members on coding standards and design techniques
Lead design and development reviews of customer software applications
Test, troubleshoot, and enhance customer software applications with and on behalf of customers
Identify application performance bottlenecks and propose optimizations
Drive sales discussions on architecture and engineering, particularly by explaining the C3 AI Platform and its interoperability with existing systems
Lead the delivery of technical deep dives, demonstrations, and customer training
Write application specifications and documentation
Act as a technical expert in scoping new applications and provide level-of-effort estimations
Continuously identify technical risks and gaps; devise mitigation strategies in anticipation of customer needs and communicate project status to internal and external executive stakeholders
Work closely with product management and engineering to drive improvements to the overall quality of C3 AI software
Lead improvement efforts across the company that will impact all customers

Requirements & Skills:

Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM), or comparable area of study
5+ years of professional software development experience with object-oriented programming languages
Experience leading engineering teams
Strong verbal and written communication, and ability to work effectively on a cross-functional team
Analytical and problem-solving abilities
Organizational skills and attention to detail
Ability to travel as needed
Graduate degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study
Experience deploying enterprise-scale applications
Experience working in a customer-facing role
Software development experience with JavaScript and Python
Experience with Git or other version control software
Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular
Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure)
Understanding of SQL and NoSQL databases
Proficiency in data structure and algorithm design and implementation
Proficiency in time-series data analysis, cleansing, and normalization
Working knowledge of Agile software development methodology
Solid understanding of common machine learning techniques, applications, and trade-offs
Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications

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Senior Machine Learning Developer, Coveo

Staff AJL — Mon, 02 Dec 2024 15:05:14 +0000

Company	Coveo
Job title	Senior Machine Learning Developer
Job location	Province of Quebec / Province of Ontario, Canada
Type	Full Time

Responsibilities:

Participate directly in every part of the development life cycle of ML models: conception, implementation, automated testing, deployment, monitoring, etc.
Investigate, analyze, and improve the performance of our models and systems – including meeting critical SLOs for training models at scale and low-latency inference.
Maintain and improve several of our most important client-facing product features.
Facilitate the adoption and utilization of ML platform and observability resources and guidelines to improve operational efficiency and service reliability.
Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions.
Learn, utilize, and evolve our data and tech stack which includes Python, AWS, Kubernetes, Pytorch, Terraform, Snowflake, Honeycomb, and others

Requirements & Skills:

You have 5+ years of Machine Learning industry experience.
You have operationalized, instrumented, and supported AI models in production at a non-trivial scale before
You are fluent in good data and software engineering practices, and you are able to develop the tools and culture which enable your team to deliver reliable production code in an efficient manner.
You enjoy collaborating with scientists on a daily basis to understand their pain points and figure out how to improve their tools and increase their efficiency. You also have experience working in cross-functional teams.

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ML Engineer/Data Engineer, Railtown AI

Staff AJL — Mon, 02 Dec 2024 14:57:25 +0000

Company	Railtown AI Technologies Inc.
Job title	ML Engineer/Data Engineer
Job location	Vancouver, BC, Canada
Type	Full Time

Responsibilities:

Brainstorm, design and develop the company’s AI initiatives and roadmaps
Formulate the business problem into AI and Machine Learning tasks
Working with different types of data including computer logs, errors, natural languages, and more
Extract, transform, load structured and unstructured text data
Perform AI and machine learning experiments methodically, and conduct data and error analysis to improve models
Document findings, approaches and present the results to the team
Optimize algorithms and prototypical solutions, such as hyperparameter search, model fine-tuning, etc.
Collaborate with the engineering team to implement (build, test and deploy) the ML models
Create unit, integration, end-to-end, and/or performance tests.
Keep current with technology and industry developments and be on the lookout for new approaches and opportunities to integrate them into the existing solutions

Requirements & Skills:

Have strong analytical and problem-solving skills, and be willing to dive deep to find creative solutions.
Have a passion for developing new and innovative solutions with AI, machine learning, and statistical approaches.
Have an entrepreneurial spirit and love to work in a fast-growing start-up environment, where you will meet like-minded people and celebrate successes.
BSc or MSc degree in computer science, engineering, statistics, applied mathematics, or related quantitative discipline.
Ability to synthesize information from multiple sources and act as a thought leaders to design creative solutions.
Experience in ML/AI solution architecture is an asset.
Strong track records in building MLOps and productionizing ML/AI solutions in Azure cloud (or AWS). Familiarity with ML flow is a plus.
Experience in data mining, machine learning, and/or statistical analysis. Knowledge of NLP approaches is an asset.
Strong experience in Python and knowledge of SQL is a plus.
Familiarity with modern machine learning packages such as NumPy, SciPy, Pandas, Matplotlib, seaborn, Scrapy, scikit-learn, etc. Experience with Deep Learning packages such as Pytorch or TensorFlow is an asset.
Knowledge of the Cross Industry Standard Process for Data Mining(CRISP-DM) or similar data-science lifecycle.
Experience building custom integrations between cloud-based systems using APIs.
Experience developing and maintaining ML systems built with open-source tools.
Experience developing with containers and Kubernetes in cloudcomputing environments.
Basic knowledge of agile software development (e.g. versioncontrol, kanban processes, and cloud deployment).
Team player. Comfort working in a dynamic group with open problems to solve.

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Conversational & Generative AI Content Associate, Morgan Stanley

Staff AJL — Mon, 02 Dec 2024 14:52:00 +0000

Company	Morgan Stanley
Job title	Conversational and Generative AI Content Associate
Job location	Budapest, Hungary
Type	Full Time

Responsibilities:

Drive insights for generative AI content strategy by conducting an in-depth analysis of chatbot performance and user questions.
- Conduct thorough analysis of chatbot performance identifying opportunities to support reporting and monitoring requirements, drive product enhancements, and better align chatbot responses with user expectations.
- Identify areas for improvements in authoring practices and provide actionable insights to optimize chatbot answer quality and relevance.
- Act as a liaison between subject matter experts (SMEs) and the technical development team to ensure chatbot behavior aligns with domain-specific knowledge and business objectives.
Manage user feedback program and work closely with the reporting team on requirements.
- Drive user feedback program by tracking key metrics, collecting, and analyzing user feedback.
- Maintain and monitor the feedback mailbox, ensuring all inquiries are appropriately addressed and categorized for reporting.
- Create detailed reports to inform stakeholders of chatbot performance and feedback trends offering insights into how these impact overall product effectiveness.

Requirements & Skills:

Minimum of 2 years of relevant experience
Bachelor’s degree in finance or related field.
Proficient in data-driven analysis.
Demonstrated ability to present findings and recommendations to stakeholders.
Some experience or strong interest in learning about generative AI.
Detail-oriented individual with strong analytical, critical thinking, and problem-solving skills.
Ability to work in close collaboration with a diverse global team.
Team player with excellent presentation, communication, and interpersonal skills.

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AI Engineering Specialist, MSD

Staff AJL — Thu, 28 Nov 2024 18:04:36 +0000

Company	MSD
Job title	AI Engineering Specialist
Job location	Prague, Central Bohemian, Czechia
Type	Full Time

Responsibilities:

Write efficient and maintainable code following best practices in software engineering.
Working with DevSecOps tools for deploying and versioning code.
Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies.
Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback. This will include embedding, chunking, loading, and search algorithm setup.
Experiment with different retrieval strategies, including information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models.
Algorithm Optimization – Optimize and fine-tune AI models for performance, scalability, and accuracy.
Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions.
Present findings and insights to stakeholders and contribute to strategic decision-making.
Document AI models, algorithms, and processes thoroughly.
Prepare technical reports and presentations to communicate results and methodologies.
Stay up to date with the latest advancements in AI and machine learning technologies.
Participate in Agile ceremonies with the team to execute on prioritized projects and features.
Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems.

Requirements & Skills:

2+ years of experience in AI Engineering.
Strong programming skills in Python.
Familiar with building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, databases, and other necessary tooling.
Familiar with CI/CD and test-driven development
Experience in building Restful APIs for AI models.
Familiar with of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics).
Familiar with Retrieval Augmented Generation (RAG) techniques
Familiarity with prompt engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
Strong communication and collaboration skills.
Must be analytical, detail-oriented, and able to manage multiple projects simultaneously.
Experience working in an Agile Methodology.
Additional programming languages such as Node.js / TypeScript, C#, or Java
Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains.
Experience with AWS Cloud.
Experience with building, deploying, and managing docker images.

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Principal Machine Learning Engineer, Palo Alto Networks

Staff AJL — Tue, 26 Nov 2024 15:15:43 +0000

Company	Palo Alto Networks
Job title	Principal Machine Learning Engineer (AI Research)
Job location	Santa Clara, California, United States
Type	Full Time

Responsibilities:

Apply Machine Learning to security problems in a production environment
Come up with innovative solutions to meaningful hard problems
Work on distributed clusters and GPUs with large amounts of data
Interact with teams of expert engineers, security researchers, and data scientists
Build models that protect our customers from malicious code and actors

Requirements & Skills:

5+years, MS, or PhD degree in Computer Science, Statistics, a related field or equivalent military experience required
Be an excellent programmer – experience with distributed cloud systems like GCS or AWS and containers like Docker a plus
Please highlight your deep learning experience on your resume
Have a strong working knowledge of machine learning algorithms such as LLMs, CNNs, LSTMs, XGBoost/CatBoost, Byte Pair Encoding schemes, etc.
Be comfortable working independently, have the ability to come up with novel solutions to difficult problems
Excellent communication (written and verbal) and presentation skills

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