Top Tech Jobs & Startup Jobs

Develop and deploy Generative AI and machine learning solutions for complex business problems. Responsibilities include AI algorithm development, exploratory data analysis, database and data pipeline management, statistical modeling, large language model training and fine-tuning, and cloud-based deployment. The consultant will collaborate with internal and client teams, investigate root causes, communicate data-driven insights, and adapt solutions to changing project requirements.

Develop and test AI algorithms, generative AI solutions, machine learning and statistical models. Manage large datasets, exploratory analytics, SQL databases, and data pipelines while delivering insights to stakeholders. Build and deploy language models using cloud platforms, embeddings, prompt engineering, NLP, computer vision, and fine-tuning. Collaborate with clients and internal teams to solve complex business problems and support data-driven performance improvement initiatives.

Advise senior technology leaders on IT infrastructure design and implementation strategy. Lead workload automation architecture, optimize technology, financial, and operational levers, and develop scalable infrastructure solutions. Collaborate with cross-functional teams, guide key decisions, resolve complex problems, coordinate implementation, and mentor junior staff while managing team performance and outcomes.

Develop and test AI algorithms, machine learning models, and generative AI solutions for complex business problems. Manage large databases, perform exploratory and statistical analysis, build data pipelines, and deploy models on cloud platforms. Investigate root causes, communicate insights to stakeholders, collaborate with delivery teams, and adapt to changing project requirements while continuously developing technical expertise.

Leads client-facing Generative AI and LLM initiatives for software and platform organizations. Responsibilities include developing AI strategies, managing cross-functional projects, overseeing solution design and model development, integrating AI systems, managing client relationships, identifying growth opportunities, and mentoring AI teams.

Lead the design, development, configuration, and enhancement of scalable SAP applications using SAP BTP Datasphere. Collaborate across teams, make technical and team decisions, resolve application issues, monitor project progress, and ensure delivery aligns with business objectives. Provide technical guidance, optimize performance, facilitate knowledge sharing, and apply cloud development, integration, and application design best practices.

Develop and deploy generative AI, machine learning, and statistical solutions for complex business problems. Build data pipelines, manage large datasets, perform exploratory and predictive analytics, fine-tune large language models, and deliver stakeholder insights. Collaborate with internal and external teams while adapting solutions to changing project requirements and maintaining continuous technical learning.

Design, build, and lead implementation of custom, scalable software solutions using Databricks for data processing and analytics. Serve as an SME, make technical decisions, collaborate with cross-functional teams, and mentor junior engineers to deliver high-quality products.

Leads the design, development, configuration, and enhancement of custom applications using SAP BTP Datasphere. Acts as a subject matter expert, coordinates teams, makes technical decisions, resolves cross-team issues, monitors project delivery, supports agile practices, and facilitates team training while ensuring application quality and alignment with business objectives.

Develop and enhance custom software solutions using Spring Boot and Java. Design scalable applications, RESTful APIs, and microservices while integrating databases and optimizing performance. Collaborate across teams, make technical decisions, establish development best practices, troubleshoot issues, and mentor junior engineers. The role requires expertise in software development lifecycles, agile methodologies, object-oriented design, and leading team-level delivery.