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Senior Applied Nlp Ml Engineer Jobs

Ml Engineer Jobs
By Docyt At Dallas, TX, United States
Design and develop innovative machine learning models and algorithms for financial data management
3+ years of experience developing machine learning models and algorithms
Strong programming skills in Python or Java
Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
Knowledge of machine learning frameworks such as Tensorflow, Keras, or PyTorch
Experience with distributed systems and parallel computing
Ml/Ai Developer Jobs
By Predactica™ At Dallas, TX, United States
Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and experience with deploying ML models in cloud environments.
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
Collaborate with cross-functional teams to understand business requirements and identify opportunities to leverage machine learning techniques effectively.
3+ years of hands-on experience in developing and deploying machine learning models in real-world applications.
Experience with data preprocessing, feature engineering, and data visualization.
Strong communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
Ai/Ml Engineer Jobs
By Heliosz.AI At Boca Raton, FL, United States
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
Collaborate with cross-functional teams to evaluate and incorporate external libraries, tools, and frameworks to enhance our machine-learning capabilities.
Proficiency in programming languages such as Python, along with experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, sci-kit-learn).
Experience with large-scale data processing frameworks (e.g., Spark, Hadoop) and cloud computing platforms (e.g., AWS, GCP) is highly desirable.
Conduct exploratory data analysis, feature engineering, and model evaluation to gain insights and improve model performance
Implement and deploy scalable machine learning pipelines and frameworks to process and analyze large-scale datasets efficiently.
Senior Ai/Ml Engineer (Volunteer)
By The Apologist Project At United States
3+ years experience with training AI/ML models.
5+ years overall software engineering experience.
3+ years experience developing APIs at scale.
Assist with the training of an LLM to produce a conversational AI trained on custom data.
Create a scalable API to expose the AI's responses to the frontend.
Advise on infrastructure necessary to performantly serve API requests.
Applied Ai/Ml Cloud Architect
By Navitec, Inc. At United States
Coding skills in Python, Spark and/or R
Multiple work experiences with AI/ML full lifecycles (end to end)
AWS Architect and/or AI/ML Certification preferred
10+ years of IT app development
5+ years of architecture related to AI/ML
5+ years of direct cloud (AWS / Azure) work
Senior Software Engineer, Ml Platform
By SambaNova Systems At Palo Alto, CA, United States
Strong programming skills in Python, OOP concepts, and experience contributing to production-grade large codebases
Standardize model building and usage process by defining right interfaces and building services to manage ML model lifecycle
4+ years of experience in software development
Experience with Docker and Kubernetes
Experience of tuning and delivering LLMs like GPT, LaMDA, BERT, etc.
Experience with containerization of ML models and deployment of ML models as APIs
Senior Data Architect - Ai/Ml
By Robert Half At United States
• Guide and mentor other team members in best practices for data management and AI implementation.
*Experience in legal technology is a plus
• Work with a cross-functional team to understand business requirements and translate them into effective data solutions.
• Minimum of 7 years of experience in Data Science or AI architecture.
• Experience with cloud platforms, specifically AWS, Azure, or GCP.
• Design, implement, and optimize data models and pipelines.
Ai Ml Engineer Jobs
By Epik Solutions At Charlotte, NC, United States
Must have skill set –
At least 8+ years of relevant experience as an AI/ML Engineer
Extensive experience with programming languages, such as Python, C++, Java, or R
Ability to skillfully write efficient AI code
Strong interpersonal skills and great command of English communication
Expertise with AI/ML frameworks like TensorFlow, JAX, Pytorch, etc would be a plus
Junior Ml Engineer Jobs
By KTek Resourcing At New City, NY, United States
Accurately implement methods described in technical documentation developed by our researchers.
Develop accompanying infrastructure to make the models and analytics developed accessible via a variety of access patterns.
Test all software being developed for accuracy and stability.
Sr. Data Engineer - Ai/Ml
By Stanford Health Care At Palo Alto, CA, United States
Knowledge of resource management and automation approaches such as workflow runners.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related, or equivalent working experience
Experience with cloud deployment strategies and CI/CD
Experience building and working with data infrastructure in a SaaS environment
Experience overseeing, developing or implementing machine learning operations (MLOps) processes.
Experience working with healthcare data.
Causal Inference And Reasoning Ml Scientist
By ABI Software Development At United States
We offer a competitive salary, remote working options, and equity.
Research experience developing and implementing causal inference and counterfactual reasoning, causal reinforcement learning, machine learning/reasoning, data mining algorithms and software tools.
Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.
Experience producing and A/B testing different machine learning models Familiarity with advanced causal inferences techniques and contextual bandit algorithms preferred.
Strong Python programming skills, in addition to R, C/C++(a plus), Java, and/or Matlab.
Good communication (verbal and written) skills, active participation in R&D team activities is required.
Senior Sales Director - Ai / Ml Platform $200M+ Funding
By Zearch At San Francisco Bay Area, United States
6+ years 1st / 2nd line sales management experience.
Strong Influencing, negotiation and commercial skill.
Great people leadership skills; proven track record of influencing and drive.
Proven large, complex deal experience.
Build and lead a top performing team positioning AI / ML Ops to top Global accounts.
Generate net new revenue through developing current accounts and securing new customers.
Ai/Ml Engineer I
By GSK At Collegeville, PA, United States
Experience in machine learning, software engineering, and Python.
Experience working in a collaborative CI/CD software development environment, including use of git.
Applied learning experience of modern ML architectures, statistics, and deep learning.
Experience shipping scientific products powered by machine learning.
Knowledge in disease biology, molecular biology, and biochemistry.
Continuously looking for opportunities to learn, build skills and share learning.
Software Engineer - Ml Ops
By Motion Recruitment At Los Angeles, CA, United States
Experience building tools and capabilities for end to end model deployment, model management, and performance monitoring
experience building tools and capabilities for end to end model deployment, model management, and performance monitoring
Team up with other teams to develop ML models and follow the best practices in engineering and Ops
Product Manager, Ai/Ml
By Robinhood At New York, NY, United States
Strong communication and relationship management skills. Expertly distills technical details into plain English for broader consumption.
Develop and advocate your vision of an outstanding customer experience powered by advanced technologies.
Create a roadmap that supports our long term vision for best-in-class customer experience and top-quality agents.
Own and manage foundational elements of the Robinhood's support ecosystem including case classification, routing, attribution, and our data model.
4+ years experience building and shipping high-quality, customer experiences and platforms. Direct experience launching ML/chatbot features preferred.
Experience with using research, experimentation, and product analytics to guide decision making.
Ai/Ml Engineer Jobs
By Signify Technology At New York, United States
4+ years of experience with Python and SQL
Must have experience working on products that use LLMs and/or prompt-engineering
Hybrid from NYC or Remote in the US (EST work hours)
2+ years of JavaScript preferred
Senior Ai/Ml Engineer
By Tarana Wireless, Inc. At San Francisco Bay Area, United States
5-12 years of experience building large scale, ML/AI models
Experience re-incorporating feedback in your models
Experience with TensorFlow, PyTorch, etc. at scale
Experience with Large Language Models and tools a plus
Model visualization, explanation and tracking
Data tracking and quality monitoring
Senior Research Scientist, Ml Partnerships
By Upstart At United States
Knowledge of machine learning, pipelines and engineering architecture
Position Location - This role is available in the following locations: Columbus, Austin or Remote
Strong academic credentials with a master's degree in computer science, statistics, mathematics, or other quantitative areas of study; Ph.D. preferred
Proficiency in a broad array of mathematical, statistical learning and machine learning concepts and applications
Detailed understanding of building good technical solutions; ability to convert ideas into testable hypotheses and/or next steps
Ability to meet team standards with respect to quality and velocity with minimal help or direction from peers
Data Scientist/Ml Engineer
By Peritus Inc At Los Angeles, CA, United States
·Knowledge of MLOps principles (model deployment, monitoring, life cycle management, etc.)
·Experience using version control systems (Git strongly preferred) and working in a remote software development environment
·Bachelor’s Degree or equivalent experience in Computer Science or related field
·Experience in at least one programming language (Python strongly preferred)
·Experience using data science/machine learning technologies such as H2O or Scikit-learn (H2O preferred)
Ml Infrastructure Engineer, Autopilot Ai / Tesla Bot (Pytorch, Distributed Systems)
By Tesla At Palo Alto, CA, United States
Experience with at least one deep learning framework (ideally in PyTorch).
Demonstrated experience in profiling CPU/GPU code.
Optional: Experience with high-performance networking (e.g. Infiniband, RDMA, NCCL).
Optional: Experience programming in C/C++ and CUDA.
Family-building, fertility, adoption and surrogacy benefits
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

Are you an experienced Senior Applied NLP/ML Engineer looking for an exciting new challenge? We are looking for a creative problem solver to join our team and help us develop cutting-edge Natural Language Processing and Machine Learning solutions. You will be responsible for designing and implementing algorithms to solve complex problems and create innovative products. If you are passionate about pushing the boundaries of technology and have a strong background in NLP/ML, then this is the job for you!

Overview:

A Senior Applied NLP ML Engineer is a highly skilled professional who is responsible for developing and deploying natural language processing (NLP) and machine learning (ML) solutions to solve complex business problems. The Senior Applied NLP ML Engineer is responsible for designing, developing, testing, and deploying NLP and ML models and algorithms to solve real-world problems.

Detailed Job Description:

The Senior Applied NLP ML Engineer is responsible for designing, developing, testing, and deploying NLP and ML models and algorithms to solve real-world problems. The Senior Applied NLP ML Engineer will be responsible for researching and developing new NLP and ML algorithms and models, as well as optimizing existing models. The Senior Applied NLP ML Engineer will also be responsible for developing and deploying NLP and ML solutions to production.

What is Senior Applied Nlp Ml Engineer Job Skills Required?

• Expertise in natural language processing (NLP) and machine learning (ML)
• Knowledge of NLP and ML algorithms and models
• Knowledge of programming languages such as Python, Java, and C++
• Knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Knowledge of data engineering and data analysis
• Ability to work independently and collaboratively
• Excellent problem-solving and analytical skills
• Excellent communication and interpersonal skills

What is Senior Applied Nlp Ml Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, or a related field
• 5+ years of experience in NLP and ML
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Experience with programming languages such as Python, Java, and C++
• Experience with data engineering and data analysis
• Experience with cloud computing platforms such as AWS, Azure, and GCP

What is Senior Applied Nlp Ml Engineer Job Knowledge?

• Knowledge of natural language processing (NLP) and machine learning (ML) algorithms and models
• Knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Knowledge of programming languages such as Python, Java, and C++
• Knowledge of data engineering and data analysis
• Knowledge of cloud computing platforms such as AWS, Azure, and GCP

What is Senior Applied Nlp Ml Engineer Job Experience?

• 5+ years of experience in NLP and ML
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Experience with programming languages such as Python,