33 English-speaking jobs in Salerno

Global Business Development Manager to expand market reach across Europe, North America, APAC, and LATAM. Develop and execute a global business development strategy, identify new business opportunities, and manage global distribution partners.

Drive revenue growth for a high-performance polymers manufacturer in Europe. Identify and develop key accounts, build sales pipelines, and achieve sales targets. Manage the entire sales process, from initial contact to contract closure.

Sales Specialist to grow market share in B2B and B2B2C segments, selling SaaS solutions. Identify and close new business opportunities, define sales strategies, and cultivate key partnerships.

Serves as a change facilitator, developing and collaborating with site lean champions. Facilitates lean, growth, and leadership training programs, Kaizen events, and other lean initiatives. Assesses, coaches, and provides feedback to teams to strengthen lean, growth, and leadership competencies. Monitors quality performance, identifies improvement opportunities, and leads root cause/counter-measure resolution. Drives ever-improving results by leveraging EBS tools, consulting skills, and change management process. Provides formal and informal EBS training and coaching.

The Engine BTE-Friction-Thermal Virtual Analysis engineer will support product development through CAE in the area of Engine Brake Thermal Efficiency (BTE), Engine Friction, and Engine Thermal analysis. This role will develop Engine 1D/0D Fuel Economy assessments, Engine Structural Thermal Models (STM), and Front End Auxiliary Drive (FEAD) friction models. The engineer will perform optimization analysis, execute detailed studies, and develop innovative solutions for Fuel Economy, Friction, and Thermal improvement.

Senior Data Scientist with 3-5 years of experience required. Must have strong Python and SQL skills, knowledge of TensorFlow and PyTorch, and experience with Generative AI. Responsibilities include leading data science projects, collaborating with stakeholders, and developing productionized data science pipelines.

IBM is seeking motivated graduates with a Bachelor or Master's Degree in Computer Science, Engineering, or Mathematics to support development and running of application solutions. The role requires knowledge of programming languages (Java, Python), SQL, databases, cloud programming, and machine learning concepts.

Services Manager Specialist needed with strong Netcool suite knowledge, particularly Tivoli Netcool/OMNIbus and IBM Netcool Network Management (ITNM). Requires 7+ years experience in configuration, administration, and maintenance of OMNIbus ObjectServer, probe management, rules file configuration, and ITNM Core and Precision management.

Senior Machine Learning Engineer with 5+ years of experience in data science or software engineering. Requires deep knowledge of math, probability, statistics, and algorithms, as well as experience with Generative AI deployment and architecture. Must be proficient in at least two programming languages (Python, Scala, Java, C++) and have experience building ML pipelines in production environments.

Supports customers in Big Data projects, partnering with business analysts and solution architects to understand use cases and data needs. Delivers data acquisition, transformations, cleansing, conversion, compression, and loading into data lakes. Requires 5+ years of Databricks experience, cloud native environment experience (GCP, AWS, or Azure), and expertise in Big Data Architectures.

Data Enterprise Architect at NTT Data collaborates with clients to define strategic data architectures supporting business objectives and digital transformation. Responsibilities include business requirements analysis, data strategy definition, data architecture design, data platform evaluation, data governance, and cloud data platform migration.

Supports customers in Big Data projects, partnering with business analysts and solution architects to understand use cases and data needs. Delivers data acquisition, transformations, cleansing, conversion, compression, and loading into data lakes.

Lead Data Architect AWS to manage key clients, AWS Center of Excellence, and data & analytics projects. Design data platforms on AWS, manage data pipelines, and mentor engineers. Requires experience in data analytics, AWS cloud environment, and Big Data Architectures.