Top Machine Learning Jobs

What We Do

My team and I work as a vendor for enterprises with problems to solve. (Who doesn't have those?) We use several tools to try to solve these problems -- programmatic automations, simple algorithms, and complex Big Data machine learning models that continually train in production. We're looking for someone (anywhere in the world) who might be a good fit for our team.

What You'd Do

We prefer our team members to work in a manner that suits them best. We all have different schedules, different styles, and different time zones. We let work and time management be the prerogative of the individual and ask in return that a very few project milestones be met along the way. Other than that, you'll collaborate with colleagues in the way that works best for you. We encourage experimentation and dynamism.

Skills You'll Definitely Need

* Perceptive insight into breaking down problems

* Intuitive communication with colleagues

* The ability to explain your approach and show your work

* Tensorflow (the Keras API)

The Hiring Process

We want to see what you can do! If you're selected after some initial conversation, we'll give you two or three problems to solve (paid!) in the best way you know how. These might be multivariate time series problems or fine-tuning questions. Then we'll ask you to explain your approach.

Now What?

If this sounds like the kind of work you'd like to do, let us know. We work on a lot of problems -- marketing, aerospace, medicine, and robotics, among others. Tell us your favorite flavor!

(This is a long-term position and might require travel to New York, NY, USA)

ARE YOU AN ADDICTED DEV?

We're on the hunt for dedicated Steamship Developers who boasts expertise in the field and has a fervor for cutting-edge AI projects. As a part of our team, you will play a pivotal role in shaping the AI future, leveraging the Steamship platform. If you thrive in a dynamic, agile environment and are driven by innovation, this position is for you.

Key Responsibilities:

+ Develop, test, and deploy AI applications on the Steamship platform.

Collaborate closely with our team to ideate and execute innovative AI solutions.

+ Engage in sprint planning and actively contribute to achieving project milestones.

+ Stay updated with the latest in AI tech, continuously experimenting with new tools.

+ Assure the top-tier quality and performance of applications developed.

+ Offer technical support and mentorship to fellow team members.

Basic Qualifications:

+ Demonstrable experience with the Steamship platform and associated tools.

+ Profound understanding of AI, machine learning, and natural language processing.

+ Outstanding problem-solving aptitude coupled with analytical and critical thinking.

+ Exceptional communication skills and the ability to collaborate seamlessly.

+ Eagerness to embrace a fast-paced setting and tackle evolving challenges.

Preferred Qualifications:

+ Experience in working with multimodal AI tools and memory-aware applications.

+ Acquaintance with cloud-hosted LLM Agent development.

Insight into AI design sprints and a track record in AI development.

I want to create a web app with a restful API. I am looking for a developer who is fast and efficient who can write clean code. You will work along side with me to develop different applications.

You should have knowledge of LLMs, computer vision, Agents ,Scraping, fine-tuning models and be able to create functional APIs in python.

If you have read this add the phrase "Ready to work Weekends" in your proposal or reply.

Languages: Python

Machine Learning: TensorFlow, PyTorch

Computer Vision: OpenCV,

NLP: NLTK, spaCy

Data Processing: pandas, numpy

API Interactions: requests, RESTful APIs

Infrastructure: Docker, Kubernetes

Database: PostgreSQL

Messaging: Kafka, RabbitMQ

Server: AWS EC2 instances, AWS S3 for storage

Will discuss details with the correct candidate

I want to create a web app with a restful API. I am looking for a developer who is fast and efficient who can write clean code. You will work along side with me to develop different applications.

You should have knowledge of LLMs, computer vision, Agents ,Scraping, fine-tuning models and be able to create functional APIs in python.

If you have read this add the phrase "Ready to work Weekends" in your proposal or reply.

Languages: Python

Machine Learning: TensorFlow, PyTorch

Computer Vision: OpenCV,

NLP: NLTK, spaCy

Data Processing: pandas, numpy

API Interactions: requests, RESTful APIs

Infrastructure: Docker, Kubernetes

Database: PostgreSQL

Messaging: Kafka, RabbitMQ

Server: AWS EC2 instances, AWS S3 for storage

Will discuss details with the correct candidate

ARE YOU AN ADDICTED DEV?

We're on the hunt for dedicated Steamship Developers who boasts expertise in the field and has a fervor for cutting-edge AI projects. As a part of our team, you will play a pivotal role in shaping the AI future, leveraging the Steamship platform. If you thrive in a dynamic, agile environment and are driven by innovation, this position is for you.

Key Responsibilities:

+ Develop, test, and deploy AI applications on the Steamship platform.

Collaborate closely with our team to ideate and execute innovative AI solutions.

+ Engage in sprint planning and actively contribute to achieving project milestones.

+ Stay updated with the latest in AI tech, continuously experimenting with new tools.

+ Assure the top-tier quality and performance of applications developed.

+ Offer technical support and mentorship to fellow team members.

Basic Qualifications:

+ Demonstrable experience with the Steamship platform and associated tools.

+ Profound understanding of AI, machine learning, and natural language processing.

+ Outstanding problem-solving aptitude coupled with analytical and critical thinking.

+ Exceptional communication skills and the ability to collaborate seamlessly.

+ Eagerness to embrace a fast-paced setting and tackle evolving challenges.

Preferred Qualifications:

+ Experience in working with multimodal AI tools and memory-aware applications.

+ Acquaintance with cloud-hosted LLM Agent development.

Insight into AI design sprints and a track record in AI development.

Hi

We are seeking a skilled Machine Learning Engineer with expertise in sequence modeling and deep learning.

The project involves developing an intelligent system for predicting user behavior in a mobile application.

Please apply by showing your track record.

Thank you .

Hi

We are seeking a skilled Machine Learning Engineer with expertise in sequence modeling and deep learning.

The project involves developing an intelligent system for predicting user behavior in a mobile application.

Please apply by showing your track record.

Thank you .

We integrate sales data for Retail and Consumer goods companies. That information is un-summarized at store and product level with attributes like region, chain and channel along with strong product hierarchy. We'd like to be able to run that data through a process to arrive at product recommendations for each customer. It would factor in what sells well to the same stores in a chain, same region and need to support a decision tree of Boolean tests on authorization. Our goal is to make a repeatable model for our clients.

Rule-based logic would help identify sales opportunities – like potential voids in chain stores and complementary items like other top energy drink flavors where energy drinks sell well. We plan to start by using beverage (soft drink) data we can provide.

We integrate sales data for Retail and Consumer goods companies. That information is un-summarized at store and product level with attributes like region, chain and channel along with strong product hierarchy. We'd like to be able to run that data through a process to arrive at product recommendations for each customer. It would factor in what sells well to the same stores in a chain, same region and need to support a decision tree of Boolean tests on authorization. Our goal is to make a repeatable model for our clients.

Rule-based logic would help identify sales opportunities – like potential voids in chain stores and complementary items like other top energy drink flavors where energy drinks sell well. We plan to start by using beverage (soft drink) data we can provide.

Hi there!

We are looking for an expert in the field of AI and machine learning for an ecommerce software.

The software will be connected to GPT-4 and have many integrations and API's.

Lets talk so we can discover the possibilities together.

Hi there!

We are looking for an expert in the field of AI and machine learning for an ecommerce software.

The software will be connected to GPT-4 and have many integrations and API's.

Lets talk so we can discover the possibilities together.

We are looking for an experienced and skilled TensorFlow.js developer to help us integrate TensorFlow.js into our GPS Fleet Tracking Web Application. This short-term project involves leveraging TensorFlow.js to enhance our chat interface with AI capabilities and enable real-time data retrieval from our SQL database to provide intelligent responses to user queries related to vehicle assets and general help.

Responsibilities:

- Collaborate with our development team to understand the RoMa application's architecture and data structure.

- Integrate TensorFlow.js into the chat interface to enable AI-driven responses to user queries.

- Implement the necessary functionalities to retrieve and process data from the database based on user queries related to vehicle assets.

- Ensure seamless communication between the frontend and backend for real-time data retrieval and display.

- Optimize the TensorFlow.js implementation for efficient performance on both desktop and mobile platforms.

- Conduct testing and debugging to ensure the AI chat interface works smoothly and accurately.

- Provide documentation and guidance to our team for future maintenance and further enhancements.

We are seeking an AI Developer who can assist us in implementing artificial intelligence solutions for our projects. The ideal candidate should have a strong background in AI technologies and algorithms and be able to develop and deploy AI models. The responsibilities of the AI Developer include researching and understanding business requirements, designing and developing AI models, and integrating them into existing systems.

Skills necessary for this role include:

- Proficiency in machine learning algorithms and frameworks

- Strong programming skills in languages such as Python or Java

- Experience with neural networks and deep learning models

- Familiarity with natural language processing and computer vision

- Knowledge of data preprocessing and feature engineering techniques

The size of this project is medium, and the estimated duration is 3 to 6 months. We are looking for an intermediate level AI Developer who can work independently and deliver high-quality results.

We are seeking an AI Developer who can assist us in implementing artificial intelligence solutions for our projects. The ideal candidate should have a strong background in AI technologies and algorithms and be able to develop and deploy AI models. The responsibilities of the AI Developer include researching and understanding business requirements, designing and developing AI models, and integrating them into existing systems.

Skills necessary for this role include:

- Proficiency in machine learning algorithms and frameworks

- Strong programming skills in languages such as Python or Java

- Experience with neural networks and deep learning models

- Familiarity with natural language processing and computer vision

- Knowledge of data preprocessing and feature engineering techniques

The size of this project is medium, and the estimated duration is 3 to 6 months. We are looking for an intermediate level AI Developer who can work independently and deliver high-quality results.

We are seeking a talented and highly motivated Data Analysis Specialist to join our team. The successful candidate will play a crucial role in configuring, training, and maintaining our AI models to ensure optimal performance and accuracy. This individual will work closely with our data science and engineering teams to extract insights from data, fine-tune algorithms, and ensure the seamless operation of AI models across various projects.

Responsibilities:

•Configure AI models to align with project objectives and business needs.

• Train AI models using advanced machine learning and deep learning frameworks.

• Maintain and fine-tune models for optimal performance and accuracy.

• Perform in-depth data analysis to uncover insights and patterns.

• Collaborate with cross-functional teams to integrate AI models into applications.

• Stay updated on the latest AI advancements and propose innovative approaches.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related fields.

• Proven experience in data analysis, machine learning, and deep learning techniques.

• Hands-on experience with popular machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Solid understanding of data preprocessing, feature engineering, and model evaluation.

• Familiarity with cloud platforms and distributed computing for AI model training and deployment is a plus.

• Strong analytical and problem-solving skills with a keen eye for detail.

This role offers an exciting opportunity to work on cutting-edge AI projects and contribute to the success of our organization. If you are passionate about data analysis, machine learning, and AI, we encourage you to apply and join our dynamic team.

In this articlehttps://www.sciencedirect.com/science/article/pii/S0010465519303042 , in sections 4.1 and 4.2, they describe how to use Dscribe for Formation energy prediction for inorganic crystals and for Ionic charge prediction for organic molecules. I was wondering if you could write a machine learning code in the python language, that accomplishes the tasks described in these sections. Ideally it would be a pair of python scripts I could download and use in windows, in pycharm.

In this articlehttps://www.sciencedirect.com/science/article/pii/S0010465519303042 , in sections 4.1 and 4.2, they describe how to use Dscribe for Formation energy prediction for inorganic crystals and for Ionic charge prediction for organic molecules. I was wondering if you could write a machine learning code in the python language, that accomplishes the tasks described in these sections. Ideally it would be a pair of python scripts I could download and use in windows, in pycharm.

We are seeking an Artificial Intelligence Specialist to join our team. The ideal candidate will have a strong background in AI and machine learning technologies. The main responsibilities of this role include developing and implementing AI algorithms, analyzing data sets, and creating AI models to enhance our products and services. The successful candidate should have excellent problem-solving skills, a deep understanding of AI fundamentals, and experience with programming languages such as Python or Java. Strong communication skills and the ability to work in a collaborative team environment are also essential.

We are seeking an Artificial Intelligence Specialist to join our team. The ideal candidate will have a strong background in AI and machine learning technologies. The main responsibilities of this role include developing and implementing AI algorithms, analyzing data sets, and creating AI models to enhance our products and services. The successful candidate should have excellent problem-solving skills, a deep understanding of AI fundamentals, and experience with programming languages such as Python or Java. Strong communication skills and the ability to work in a collaborative team environment are also essential.

We are looking for a developer to create a proof of concept app that will provide tailored recommendations to groups of people. The app should use AI to rank the results based on common variables. The main goal of this app is to suggest things to do to groups of people, taking into account their preferences and interests. The developer should have experience in the following areas:

- App development

- Generative AI and machine learning

- Data analysis and ranking algorithms

The first phase for this is purely a POC to show that generative AI can provide relevant and interesting results, we are not looking for a polished front end at first.

We are seeking a highly experienced Cloudera Platform Expert to join our team. The ideal candidate should have a minimum of 3 years of hands-on experience in the Cloudera Platform, with a strong understanding and working knowledge of a majority of the following skills and technologies:

Apache (Flume, Hadoop, HBase, Hive, Impala, Kafka, Spark, Sqoop, ZooKeeper, NiFi)

HDFS (Hadoop Distributed File System)

HUE (Hadoop User Experience)

Pyspark

Parquet-format

Spark Streaming

Python

Scala

CDSW (Cloudera Data Science Workbench)

Machine Learning

Responsibilities:

- Monitor the end-to-end application integration flow and provide support to the team with daily job status monitoring and troubleshooting.

- Utilize strong communication, analytical, and problem-solving skills to effectively address any issues that arise.

- Demonstrate expertise in monitoring source system integrations and coordinating efforts to identify and resolve source-related issues.

- Analyze and debug issues raised in the production system, replicating them in development and QA environments to identify root causes.

- Proactively identify potential issues and provide quick resolutions to minimize impacts on the production system.

- Collaborate in requirement gathering, development testing, and deployment of changes requested by customers as part of the support process.

- Contribute to automating processes wherever possible to enhance support activities.

Requirements:

- A minimum of 3 years of hands-on experience in the Cloudera Platform, showcasing progressive growth in expertise.

- Solid understanding and working knowledge of Apache technologies, HDFS, HUE, Pyspark, Parquet-format, Spark Streaming, Python, Scala, CDSW, and Machine Learning.

- Proficient in monitoring application integration flows and supporting daily operations in an on-call support model.

- Strong communication skills to effectively collaborate with team members and stakeholders.

- Analytical mindset and problem-solving capabilities to identify and address complex issues.

- Willingness to work in a regular and on-call support model and eagerness to learn new technologies when required.

This is an exciting opportunity to join our team and contribute to the success of our organization's data platform. If you are a seasoned Cloudera Platform Expert with a solid understanding of the mentioned technologies, we look forward to reviewing your application. Please submit your updated resume highlighting your relevant experience and any notable achievements in the Cloudera ecosystem.

We need a candidate having more than 5 years of experience in below technologies

Skills - python, data mining, machine learning

Time - 7.30 AM IST

Duration - 2 hours

Budget - According to Project Completion Time

Work type -remote work over the zoom call and Offline

Do a data driven analysis of the product and listing data. My audience is people who are looking to make money by selling prints on Etsy.

Please do some machine learning along with basic visual analytic to identify trends and anomalies. Also do some exploratory data analysis (EDA) and give me some data-driven suggestions.

Please see the google doc link below:

https://docs.google.com/spreadsheets/d/1yLZitXTF_D4xgfBV0dEldt7klZpvoG98jhEuiaN2k3I/edit#gid=2076658883

Good day,

I am seeking someone that has experience building models implementing machine learning and is familiar with financial markets and its relevant data. This is a big project and I intend to create 15 models for 15 targets that will predict the 1 month future return on various indexes and starting out with approximately 40-45 inputs/factors. My preference is to keep things simple so if there’s many variables that are statistically insignificant, we will throw them out. The data sets will have different start dates and release dates i.e. daily, weekly, monthly and will have to be updated to the current day. The models themselves should focus more on generalizing well and less so on overfitting on the testing set. I also want the models back tested over the course of the data series to test the specific trading strategy performance.

We will start out at 5 hours a week and once we get things going, and I like where things are going, I will increase the time budget significantly, and intend on having meetings on a weekly/bi-weekly basis. I encourage the use of ChatGPT for programming.

Look forward to working with you.