Data Scientist/Ml Intern
By Nanite At Boston, MA, United States
Coordinate with cross-functional teams to define chemistry and biology requirements and design NLP and modelling approaches required.
·Strong mathematical and coding skills.
·Experience doing research and working with interdisciplinary teams.
·Working knowledge of Python, ML packages (pytorch, scikit-learn, tensorflow, jax), SQL.
·Experience with NLP and web scrapping from public data sources.
Additional Preferred Experience (desired, but not essential):
Data Scientist - Python - Ai/Ml
By BAE Systems, Inc. At McLean, VA, United States
Required Education, Experience, & Skills
Preferred Education, Experience, & Skills
Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics
Experience working with data manipulation, analytic/business insight tools, and data visualization experience
Experience with SciPy stack or Tidyverse packages
Experience constructing and performing complex database search queries
Ai And Ml Developer
By Webgen Technologies - USA At California, United States
Develop and deploy AI-driven recommendation systems and personalized content delivery mechanisms to enhance user experience.
Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent work experience).
Experience with natural language processing (NLP) and sentiment analysis tools is a plus.
Knowledge of data preprocessing techniques and data visualization tools for exploratory data analysis.
Strong problem-solving and analytical skills, with an ability to interpret and draw meaningful insights from complex datasets.
Excellent communication skills, both verbal and written, to effectively collaborate with teams and present findings to stakeholders.
Ml Engineer Jobs
By Quess US At Santa Clara, CA, United States
Experience with model registry, feature engineering, embeddings
Airflow [Training and inferencing ML pipelines]
Vector databases (Vespa / Weaviate / Pinecone)
Quess is hiring for one of our large Clients for a Ml Engineer:
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
Ai/Ml Research Scientist
By Apple At Cupertino, CA, United States

Summary Apple 3DML team is looking for software engineers to develop and deploy computer vision technologies (2D and 3D) for next generation of Apple products. You’ll join a phenomenal team of ...

Data Scientist (Ai/Ml)
By Acceler8 Talent At Pasadena, CA, United States
2-3 years of professional Python data science stack experience: NumPy, pandas, sci-kit-learn, Tensorflow/PyTorch, pyspark, dask, matplotlib, seaborn, bokeh, etc.
Experience in predictive maintenance, digital signal processing, or related areas.
Knowledge of Natural Language Processing (NLP) or Computational Linguistics.
Experience with time series/temporal ML problems.
Develop and prototype machine learning solutions
Become an expert in PMX and/or related domains, attending conferences, and evaluating competitive products.
Data Scientist - Stores Ml
By Lowe's Companies, Inc. At Charlotte, NC, United States
Knowledge of SQL and various statistical modeling or machine learning techniques
Experience in performing predictive analytics in a large scale enterprise
2 years of experience in data science or advanced analytics in industry
Programming experience (Python, Java, Scala, Rust, etc.)
Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)
Ph.D. in Mathematics, Statistics, Physics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
Data Scientist And Ml
By Global IT Con LLC. At United States
•Demonstrated experience in moving and maintaining R&D models to production settings
•Demonstrated experience building predictive models using machine learning, deep learning, simulation/process, and/or statistical models.
•Strong communication skills for interactions with team members.
•experience using version control systems like GitHub/GitLab
•Experience translating scientific models into code.
•Applied experience with agricultural science and/or agricultural datasets.
Data Scientist - Advanced Ml/Ai Systems
By Talent Group At Wyoming, United States
Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
Utilize your advanced skills in Python, Databricks, and Azure ML to develop and deploy ML/AI models and solutions.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Minimum of 6 years of experience working in an applied data science role.
Experience with Azure Cloud technologies, such as Azure DevOps, Azure Synapse, and MLOps.
Strong communication skills and the ability to effectively collaborate with cross-functional teams.
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.