9 Scikitlearn Jobs

As a Manager at Global Data Insights and Analytics (GDI&A) at Ford Motor Company, you will be responsible for leading and mentoring a multi-skilled product team consisting of data scientists, machine learning engineers, product designers, and software engineers. Your role will involve guiding the team through the entire lifecycle of complex analytical and AI/ML data science products, with a focus on driving value and transforming Ford Motor Company through evidence-based decision making. **Key Responsibilities:** - **Technical Leadership:** - Provide expert technical guidance and mentorship to data scientists & software engineers. - Contribute to code reviews, design discussions, algorithm s...

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a for...

Role Overview: You will be responsible for leading the administration of Splunk L2 at Wipro Limited in Hyderabad, Telangana. Your role will involve expertise in utilizing Citrix observability data with Splunk IT Service Intelligence for comprehensive monitoring and analytics of Citrix environments. Additionally, you will be proficient in monitoring Virtual Desktop Infrastructure (VDI) and Virtual Machines (VMs) for performance, reliability, and scalability. Hands-on experience with OpenTelemetry, Kafka, and Splunk/Grafana for unified telemetry, real-time data ingestion, powerful data visualization, and alerting will be crucial for this role. Furthermore, you will need to be proficient in Pyt...

Role Overview: As a Senior Associate in Enterprise Architecture services at PwC, you will have the opportunity to assist clients in achieving a competitive advantage by defining their technology objectives, assessing solution options, and creating architectural solutions that align with strategic goals and operational requirements. Your role will involve building software, designing data platforms, managing client data, developing compliance procedures, and staying updated on new technologies to drive innovation and sustainable change. Key Responsibilities: - Create large-scale data processing pipelines to support the development and training of machine learning algorithms. - Participate in ...

As a Senior Data Scientist at this company, your role will involve providing data science and quantitative analytical support for regulatory reporting, medical safety analysis, and safety surveillance. You will be responsible for building and scaling AI / ML and Generative AI capabilities to support case management, safety profiling, and management metrics. Additionally, you will independently manage small to medium-sized data science projects. Key Responsibilities: - Strong hands-on experience in Machine Learning, Deep Learning, NLP, Text Mining, Time Series, and Image Processing - Utilize Generative AI and LLMs (GPT, BERT, LLaMA, Claude, Mistral) for various tasks - Apply Agentic AI and LL...

As an AI Tutor in Statistics at Mindrift, you will have the opportunity to collaborate on projects aimed at advancing GenAI models and enhancing their capabilities to address specialized questions and achieve complex reasoning skills. Your role will involve the following responsibilities: - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers. - Correct the model's responses based on your domain-specific knowledge. To qualify for this role, you must meet the following requirements: - Hold a Bachelor's, Master's or PhD Degree in Statistics, Biostatistics, Econometrics, or a relevant area. - Have professional experience in fie...

Role Overview: As a Junior AI Engineer, you will be an integral part of our AI/ML team, collaborating with data scientists and senior engineers to develop scalable machine learning models and enhance intelligent product features. This role is ideal for individuals who are enthusiastic about advancing their skills and knowledge in the field of artificial intelligence. Key Responsibilities: - Possess 1-3 years of experience in AI engineering. - Demonstrate basic to intermediate proficiency in Python, NumPy, Pandas, and Scikit-learn. - Have familiarity with ML frameworks such as TensorFlow or PyTorch. - Gain exposure to data cleaning, feature engineering, and visualization tools. - Assist in da...

As a Senior AI/ML Engineer for Cybersecurity at NielsenIQ, you will play a crucial role in evolving the enterprise Identity and Access ecosystem by incorporating AI and machine learning to enhance security posture automation and user experience at scale. Your responsibilities will include designing, building, and operationalizing machine learning systems in complex distributed and cloud-based environments. **Role Overview:** In this role, you will lead the development of AI-driven identity access and security intelligence solutions, collaborating closely with Cybersecurity Engineering and AI teams. You will be tasked with designing ML architectures, constructing production-grade pipelines, d...

Role Overview: You will be responsible for designing, developing, and maintaining data processing pipelines using Python, SQL, and PySpark. Your role will involve performing data cleaning, feature engineering, and exploratory data analysis (EDA). Additionally, you will be building, training, and evaluating machine learning models using scikit-learn, XGBoost, or similar frameworks. Integration of ML models with applications will be done by developing REST APIs using Flask/FastAPI. Working with cloud platforms such as AWS/Azure/GCP for data ingestion, storage, and deployment will also be part of your responsibilities. Writing highly optimized Python code for data transformations and automation...