36 Hyperparameter Tuning Jobs - Page 2

You will be joining ClearTrail as a ML Engineer with 6-10 years of experience in Machine Learning and LLM skill set. ClearTrail is focused on developing solutions to empower those dedicated to ensuring the safety of people, places, and communities globally. With over 23 years of experience, ClearTrail has been a trusted partner of law enforcement and federal agencies worldwide, actively contributing to safeguarding nations and enriching lives. ClearTrail is at the forefront of intelligence gathering, utilizing artificial intelligence and machine learning based lawful interception & communication analytics solutions to address some of the world's most complex challenges. As an ML Engineer at ...

As a Python Machine Learning & AI Developer at Chicmic Studios, you will be an integral part of our dynamic team, bringing your expertise and experience to develop cutting-edge web applications using Django and Flask frameworks. Your primary responsibilities will include designing and implementing RESTful APIs with Django Rest Framework (DRF), deploying and optimizing applications on AWS services, and integrating AI/ML models into existing systems. You will be expected to create scalable machine learning models using PyTorch, TensorFlow, and scikit-learn, implement transformer architectures like BERT and GPT for NLP and advanced AI use cases, and optimize models through techniques such as hy...

At ClearTrail, our work is not merely a job, but a calling to create solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With a legacy spanning over 21 years, law enforcement and federal agencies worldwide have placed their trust in ClearTrail as their dedicated partner in protecting nations and enhancing lives. We are at the forefront of shaping the future of intelligence gathering through the development of artificial intelligence and machine learning-based lawful interception and communication analytics solutions, aimed at addressing the most complex global challenges. We are currently seeking a ML Engineer with 2-4 years of experi...

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providin...

Experience in ML, DL (Tensorflow, Keras, PyTorch), NLP, and NLU (NLTK, Spacy, Flair, etc.) Good understanding and relevant experience in ML techniques/ NLP/ Computer Vision tasks such as classification, clustering, deep learning, optimization methods, NER, dependency parsing, boundary detection, etc. Experience with Conversational AI frameworks like Rasa, Microsoft Bot etc Fluency in Python: Pandas, NumPy, SciPy, PySpark, PyTorch, Matplotlib Techniques: Regression analysis, Natural Language Processing (NLP) models, CNN DNN, Decision tree, Deep learning algorithms. Solid experience with one or more of the following programming languages: Scala, Java Experience with database technology such as...

As a Senior Data Scientist with a focus on Predictive Analytics and expertise in Databricks, your primary responsibilities will involve designing and implementing predictive models for various applications such as forecasting, churn analysis, and fraud detection. You will utilize tools like Python, SQL, Spark MLlib, and Databricks ML to deploy these models effectively. Your role will also include building end-to-end machine learning pipelines on the Databricks Lakehouse platform, encompassing data ingestion, feature engineering, model training, and deployment. It will be essential to optimize model performance through techniques like hyperparameter tuning, AutoML, and leveraging MLflow for t...

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn,...

Hiring: LLM Developer/Engineer (New Delhi) Requirements: Strong understanding of NLP, Transformers, and LLMs. Coding experience is a must with at least 2 years of experience working on LLMs, RAG, hyperparameter tuning, and fine-tuning open-source models. B.Tech or higher in EC, CS, or AI/ML.,

Job Summary: - Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities: - 1. Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib 2. Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) 3. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence 4. Good understanding of any of the cloud platform AWS, Azure or GCP 5. Unders...

Build and deploy scalable ML models and MLOps pipelines in collaboration with data scientists Required Candidate profile 6–12 yrs in ML development, Python, model tuning, and enterprise AI deployment.

Responsilbe for SAS to python code conversion. Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets.