Top Artificial Intelligence Jobs in Kolkata

The Senior Consultant will assess customer infrastructures to identify gaps, develop process improvement and automation solutions, maintain automation scripts, and integrate AI & ML capabilities. The role involves collaborating with IT teams, developing machine learning models, and contributing to internal tools and Microapps development, while ensuring continuous service improvements.

The AI & Automation Consultant will design solutions for IT Operations and Business Process Automation, assess automation opportunities, contribute to proposal defenses, and demo solutions to clients. The role requires collaboration with various stakeholders and knowledge of ITIL and AIOps tools.

The role involves designing AI and automation solutions in IT operations, collaborating with subject matter experts and business analysts to identify opportunities. Responsibilities include assessing automation options, developing business cases, conducting demos, and contributing to proposals and market materials. The consultant should possess strong communication skills and be open to travel and extended support hours.

The Director of AI & Automation will lead a team of data engineers to deliver data solutions, develop enterprise architecture, implement AI solutions, design scalable data architectures, and drive practices using cloud platforms. Responsibilities include optimizing machine learning pipelines, collaborating with data scientists, and providing insights through data analysis.

The Consultant in AI & Automation will assess customer infrastructure and business processes to identify gaps, develop automation solutions, maintain automation scripts, integrate AI capabilities into workflows, and work on machine learning models for IT management. They will collaborate with teams to identify automation opportunities and document processes, while also developing internal tools and contributing to marketplace offerings.

The Sr Consultant for AI & Automation will design automation solutions in IT operations, assess automation opportunities, collaborate with various stakeholders, contribute to presales and execution phases, and participate in proposal defenses. Key responsibilities also include developing business cases and building demo use cases.

The Senior Consultant - AI & Automation role involves assessing customer infrastructures and identifying opportunities for automation improvements. Responsibilities include developing automation scripts, integrating AI and machine learning into workflows, working with large datasets, contributing to internal tools, and training other team members on new technologies.

The Senior Consultant in AI & Automation develops and implements AI and ML solutions for IT managed services, collaborates with teams for AI/ML integration, and handles projects in predictive maintenance, anomaly detection, and NLP. They ensure solutions comply with industry standards and participate in the full software development lifecycle.

The Consultant in AI & Automation assesses customer infrastructure and develops automation solutions by leveraging scripting languages and automation platforms. Responsibilities include integrating AI and ML into workflows, developing machine learning models, collaborating with IT teams, documenting processes, and contributing to automation tools and frameworks.

The Consultant in AI & Automation will assess customer infrastructure to identify gaps, develop automation solutions using scripting languages and automation platforms, integrate AI capabilities, manage machine learning models, and collaborate with IT teams to improve automation processes. The role includes troubleshooting automation systems and providing expertise on implemented processes.

The Sr Consultant in AI & Automation will design IT operations and business process automation solutions, collaborate with various stakeholders to assess automation opportunities, and contribute to presales and execution of solutions. Responsibilities include creating demos, managing proposals, and estimating costs, while also participating in technical discussions and developing business cases with ROI.

The Director of AI & Automation will lead a data engineering team to develop and maintain data solutions aligned with business strategy, design scalable data architectures, and implement AI-driven data solutions. Responsibilities include optimizing machine learning pipelines, collaborating with cross-functional teams, enhancing data quality, and driving business growth through data engineering.

The Consultant in AI & Automation will develop and maintain automation scripts and workflows, integrate AI and machine learning capabilities, and work with large datasets to improve model performance. Responsibilities include collaborating with IT operations, contributing to internal tools, and delivering service improvements through automation.

The Sr Consultant for AI & Automation is responsible for designing IT operations and business process automation solutions. They assess automation opportunities, contribute to solution consulting during presales and execution, and participate in proposal defense. The role involves collaboration with stakeholders, demoing solutions, and knowledge of automation methodologies and tools, including AIOps and RPA.

The Director of AI & Automation will lead a team of data engineers to develop and maintain data solutions, drive the implementation of scalable architectures, and develop machine learning pipelines. Responsibilities include collaborating with teams, interpreting IT data trends, and overseeing data quality while focusing on strategy alignment with business needs.

The Lead Consultant for AI & Automation will oversee data engineers, develop enterprise architecture for IT data, design scalable data solutions, and leverage cloud platforms. Responsibilities include building data pipelines, optimizing machine learning models, and conducting complex data analysis to improve data quality and support business growth.

The Senior Consultant - AI & Automation role includes assessing customer infrastructure to identify gaps, developing automation solutions and scripts, integrating AI capabilities into workflows, training machine learning models, collaborating with IT teams, and contributing to automation tools. The consultant will also document processes, troubleshoot issues, and evaluate technologies.