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Machine Learning Contract Remote Jobs in New York

Chasm Select

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$150K - $180K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

About the Staff Machine Learning Engineer at Headspace: The AI & Machine Learning group at ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Experience with machine learning and analytics. * Familiarity with containerization technologies ...

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

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Machine Learning Contract Remote information

What are some common challenges faced by remote machine learning contractors, and how can they be effectively addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What are the key skills and qualifications needed to thrive as a Machine Learning Contractor in a remote role, and why are they important?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are machine learning contract remote jobs?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What are popular job titles related to Machine Learning Contract Remote jobs in New York? For Machine Learning Contract Remote jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract Remote jobs in New York look for? The top searched job categories for Machine Learning Contract Remote jobs in New York are:
What cities in New York are hiring for Machine Learning Contract Remote jobs? Cities in New York with the most Machine Learning Contract Remote job openings:
Machine Learning Contract Remote jobs near you

Senior Machine Learning Engineer

Chasm Select

Manhattan, NY • On-site, Remote

$150K - $180K/yr

Full-time

Re-posted 6 days ago

Job description

ChasmTeam

Senior Machine Learning Engineer at JudiHealth

Location: Remote (For Non-Local) or Hybrid (Local to NYC area)

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer.  We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

  • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 
  • Develop and maintain backend services using Python, focusing on AI-driven applications. 
  • Design and implement APIs for seamless integration with AI models and services. 
  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. 
  • Participate in code reviews, testing, and quality assurance processes. 
  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 
  • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 
  • Document and communicate development processes, system designs, and architectural decisions. 
  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 
  • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

Required Qualifications: 

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 
  • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment. 
  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 
  • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph. 
  • Experience working with voice AI technologies and conversational AI. 
  •  Deepgram, PlayHT, ElevenLabs 
  • Telephony technologies, such as Twilio is a big plus 
  • Familiarity with cloud platforms such as AWS or Azure. 
  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 
  • Passion for customer, innovation, product quality, service excellence, and test engineering 
  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 
  • Experience working with microservices/an API-based application paradigm. 
  • Good written communication skills that enable collaboration in a remote environment. 

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

Salary Range

$150,000 - $180,000 USD

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