Data Scientist Salary at Thirdware Solution Ltd BETA

Job Description Job Description MUST HAVE's GCP - Google Cloud MLOPs / AIOPs Gen AI Python Job Description Cloud Software Engineer Position Overview At *** Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. This role will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform – an AI/ML enablement pl

Job Description: Responsibilities: Design and develop algorithms and models to use against large datasets to create business insights. Incorporate business knowledge into solution approach by trustful collaboration with internal customers and cross-functional teams. Lead Data Science & Analytics projects & initiatives and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Prepare reports, updates and presentations related to progress made on a project or solution. Effectively communicate insights, recommendations and its impact to both technical and non-technical leaders and business partners. Participate in establishing and continuously improving Magnas data science practice by developing replicable solutions (e.g. codified data products, recipes, project documentation, process flowcharts). Seek further knowledge on key developments within

Job Description Job Description Qualifications: The candidate should have or be working toward a bachelor's degree in computer/computational science or related discipline with experience in the full software development life cycle. This position will report to a Project Manager and work will be partly on-site / partly off-site at BASF in Wyandotte, MI. This is a part-time (24h/week) contracting position for 9 months with possibility for extension. General skills: Excellent problem-solving and communication skills, comfortable discussing with internal stakeholders and project management, strong team player, flexibility, attention to detail, highly motivated, professional approach to work, commitment to project goals and target dates, reliability, good organization skills, contributes ideas about how to best implement user requirements, feels comfortable taking the initiative when necessary. Responsibilities: Seeking a Data Science Engineer with experience providing dashboard and analyti

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tool

Our client is looking for a Software Engineer to help build and drive the development of generative AI applications that will transform the future of mobility. In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains within our client, enabling smarter decision-making, enhancing customer experiences, and optimizing operations. Position Responsibilities: Work closely with Tech Anchor, Product Manager, and Product Owner to deliver MLOps platform and Gen AI solutions in GCP using Python and other tools for data scientists and business across the company. Collaborate with software and ML engineers/Data Scientists to tackle challenging AIOps and Gen AI problems. Maintain and manage the current CI/CD ecosystem and tools. Automate and continually

Base Pay Range: $91,200.00 - $155,000.00 Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device,

Hybrid:This role is categorized as hybrid. This means the successful candidate is expected to report to the Cole Engineering Center three times per week, at minimum [or other frequency dictated by the business]. Relocation:This job may be eligible fo AI, Architect, Manufacturing, Manufacturing Engineer, Data Scientist, Solutions, Technology, Automotive

-Job Description: Responsibilities: ** Design, implement, and maintain end-to-end machine learning pipelines for model training, validation, and deployment. Collaborate with data scientists, software engineers, and DevOps engineers to integrate machine learning models into production systems. Develop automation tools and frameworks to streamline the machine learning workflow, including data preprocessing, feature engineering, model training, and evaluation. Optimize model performance and scalability by leveraging cloud computing resources and distributed computing techniques. Implement monitoring and logging solutions to track model performance, data quality, and system health in production. Manage model versioning, experimentation, and reproducibility using version control systems and experiment tracking tools. Stay up-to-date with the latest trends and technologies in machine learning, cloud computing, and software engineering, and incorporate them into the MLOps workflow. Provide te