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Causal Inference Machine Learning Postdoctoral Jobs in New Jersey

Walmart

(USA) Senior, Data Scientist

Jersey City, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

West New York, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Bayonne, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Sayreville, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Elizabeth, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Union City, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Hackensack, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Clifton, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Paterson, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Kearny, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Newark, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Passaic, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Perth Amboy, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

East Orange, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Hoboken, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Linden, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Hoboken, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

Walmart

(USA) Senior, Data Scientist

Fort Lee, NJ · On-site

$108K - $216K/yr

Have fundamentals of machine learning techniques (such as regression, clustering algorithms and/or causal inference) along with cohort analyses. * Project ownership - Independently executing and ...

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Causal Inference Machine Learning Postdoctoral information

What is a causal inference machine learning postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a causal inference machine learning postdoctoral researcher?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by causal inference machine learning postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

Is it difficult to get a causal inference machine learning postdoctoral position?

Securing a causal inference machine learning postdoctoral position can be competitive due to specialized skills required, such as expertise in statistical methods, programming (e.g., Python or R), and a strong research background. Candidates with relevant publications, strong recommendations, and experience in machine learning frameworks often have better chances, but the availability of such positions varies by institution and funding.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in New Jersey?

For Causal Inference Machine Learning Postdoctoral jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in New Jersey look for?

The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in New Jersey are:

What cities in New Jersey are hiring for Causal Inference Machine Learning Postdoctoral jobs?

Cities in New Jersey with the most Causal Inference Machine Learning Postdoctoral job openings:

Causal Inference Machine Learning Postdoctoral jobs near you

Machine Learning Operations Engineer - Remote

Jersey City, NJ • On-site, Remote

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

$76K - $102K/yr

Full-time

Re-posted 11 days ago

Job description

NAVA Software solutions is looking for a Machine Learning Operations Engineer
Details:
Machine Learning Operations (MLOps) Engineer - AWS (with LLM Focus)
Location: Remote work
Duration: 12 months
Responsibilities:
  • LLM-Optimized MLOps Infrastructure: Design and implement MLOps infrastructure on AWS tailored for LLMs, leveraging services like SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and more.
  • LLM Deployment Pipelines: Build and manage CI/CD pipelines specifically for LLM deployment, addressing unique challenges like model size, inference optimization, and versioning.
  • LLMOps Practices: Implement LLMOps best practices for monitoring model performance, drift detection, prompt management, and feedback loops for continuous improvement.
  • RESTful API Development: Design and develop RESTful APIs to expose LLM capabilities to other applications and services, ensuring scalability, security, and optimal performance.
  • Model Optimization: Apply techniques like quantization, distillation, and pruning to optimize LLM models for efficient inference on AWS infrastructure.
  • Monitoring and Observability: Establish comprehensive monitoring and alerting mechanisms to track LLM performance, latency, resource utilization, and potential biases.
  • Prompt Engineering and Management: Develop strategies for prompt engineering and management to enhance LLM outputs and ensure consistency and safety.
  • Collaboration: Work closely with data scientists, researchers, and software engineers to integrate LLM models into production systems effectively.
  • Cost Optimization: Continuously optimize LLMOps processes and infrastructure for cost-efficiency while maintaining high performance and reliability.

Qualifications:
  • Experience: 3+ years of experience in MLOps or a related field, with hands-on experience in deploying and managing LLMs.
  • AWS Expertise: Strong proficiency in AWS services relevant to MLOps and LLMs, including SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and API Gateway.
  • LLM Knowledge: Deep understanding of LLM architectures (e.g., Transformers), training techniques, and inference optimization strategies.
  • Programming Skills: Proficiency in Python and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), REST API frameworks (e.g., Flask, FastAPI), and LLM libraries (e.g., Hugging Face Transformers).
  • Monitoring: Familiarity with monitoring and logging tools for LLMs, such as Prometheus, Grafana, and CloudWatch.
  • Containerization: Experience with Docker and container orchestration (e.g., Kubernetes, ECS) for LLM deployment.
  • Problem Solving: Excellent problem-solving and troubleshooting skills in the context of LLMs and MLOps.
  • Communication: Strong communication and collaboration skills to effectively work with cross-functional teams
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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