10,485 Intelligent Systems jobs in India

Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at .

Our Vision and Values:

We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:

• Excellence
• Responsibility
• Empowerment
• Connectivity
• Courage

We are seeking a highly skilled and innovative SMART Technology Consultant with expertise in SMART infrastructure solutions for transport-related projects such as airports, metro stations, ports, roads, and tunnels. The ideal candidate must have expertise in Intelligent Transportation Systems (ITS) and smart mobility, along with relevant certifications. Preferably, he should have a solid understanding in system integration and have past experience as a Master System Integrator (MSI) with companies such as Siemens, Schneider, Honeywell, Johnson Controls, or similar firms.

The candidate will be responsible for the design, advisory, and consultancy of intelligent infrastructure, ensuring seamless technology integration, interoperability, and digital transformation across transport projects.

Key Responsibilities:

Technical Expertise & Advisory

• Provide expert consultancy on SMART technology solutions for transport infrastructure, ensuring best-in-class implementations.
• Lead system integration planning and design, aligning IoT, ELV (Extra Low Voltage), and ICT solutions into a cohesive, interoperable ecosystem.
• Evaluate and recommend intelligent infrastructure solutions such as IoT-based systems, Environmental Monitoring, and Intelligent Transport Systems.

Project Design & Implementation

• Develop and oversee the design of integrated SMART solutions, ensuring seamless implementation across various transport projects.
• Work closely with civil, electrical, mechanical, and IT teams to optimize system interoperability in transport infrastructure.
• Lead the selection, specification, and deployment of IoT devices, intelligent transport systems, automation platforms, and smart analytics tools.
• Develop strategic roadmaps and feasibility studies for digital transformation in transport projects.

Innovation & Emerging Technologies

• Integrate cutting-edge Artificial Intelligence (AI), Intelligent Transport, Digital Twin, Robotics (such as Autonomous Cleaning & Delivery), and Predictive Maintenance solutions into transport hubs.
• Explore data analytics and smart building performance monitoring solutions to drive operational efficiency.
• Evaluate emerging digital trends to ensure future-proofing of transport infrastructure projects.

Compliance, Standards & Sustainability

• Ensure compliance with international Intelligent Transportation Systems (ITS) and Smart Mobility standards and certifications such as ITE (Institute of Transportation Engineers), ISO 14813, NTCIP (National Transportation Communications for Intelligent Transportation System Protocol), and IEEE 1512.
• Drive sustainable design initiatives, incorporating energy-efficient solutions, environmental monitoring, and space utilization strategies.
• Develop frameworks for smart city integration, enhancing urban mobility and digital connectivity.

Mandatory Qualifications & Experience:

• 7-10 years of experience in Smart Mobility / Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, Computer Science, Data Science, or a related field.
• Proven experience as a Master System Integrator (MSI) in a major system integration company such as Siemens, Schneider, Honeywell, Johnson Controls, or similar firms is highly desirable.
• Strong knowledge of mature SMART technology solutions, including IoT and Intelligent Transport Systems.
• Experience working with design, advisory, or consultancy firms in transport infrastructure projects (airports, metro stations, ports, roads, tunnels, etc.).
• Demonstrated expertise in SMART system design, interoperability, and integration for transport hubs.

Highly Desirable Qualifications & Experience:

• Exposure to AI-powered solutions, Digital Twins, and Robotics for predictive maintenance and automation.
• Certifications in WiredScore, SmartScore, or UL Spire.
• Understanding of User Experience (UX) studies and their role in SMART transport infrastructure.

Key Skills & Competencies:

• SMART Building/City Design and Internet of Things (IoT) integration.
• Familiarity with ITS standards, policies, and best practices.
• Experience with AI, IoT, cloud-based solutions for transport applications.
• Familiarity with working with public sector transport authorities.
• Knowledge of Sustainable Building Solutions, Energy Efficiency, and Environmental Monitoring.
• Strong analytical, problem-solving, and technical evaluation skills.
• Excellent communication and stakeholder management skills.

Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at

Our Vision and Values:

We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:

• Excellence
• Responsibility
• Empowerment
• Connectivity
• Courage

We are seeking a highly skilled and innovative SMART Technology Consultant with expertise in SMART infrastructure solutions for transport-related projects such as airports, metro stations, ports, roads, and tunnels. The ideal candidate must have expertise in Intelligent Transportation Systems (ITS) and smart mobility, along with relevant certifications. Preferably, he should have a solid understanding in system integration and have past experience as a Master System Integrator (MSI) with companies such as Siemens, Schneider, Honeywell, Johnson Controls, or similar firms.

The candidate will be responsible for the design, advisory, and consultancy of intelligent infrastructure, ensuring seamless technology integration, interoperability, and digital transformation across transport projects.

Key Responsibilities:

Technical Expertise & Advisory

• Provide expert consultancy on SMART technology solutions for transport infrastructure, ensuring best-in-class implementations.
• Lead system integration planning and design, aligning IoT, ELV (Extra Low Voltage), and ICT solutions into a cohesive, interoperable ecosystem.
• Evaluate and recommend intelligent infrastructure solutions such as IoT-based systems, Environmental Monitoring, and Intelligent Transport Systems.

Project Design & Implementation

• Develop and oversee the design of integrated SMART solutions, ensuring seamless implementation across various transport projects.
• Work closely with civil, electrical, mechanical, and IT teams to optimize system interoperability in transport infrastructure.
• Lead the selection, specification, and deployment of IoT devices, intelligent transport systems, automation platforms, and smart analytics tools.
• Develop strategic roadmaps and feasibility studies for digital transformation in transport projects.

Innovation & Emerging Technologies

• Integrate cutting-edge Artificial Intelligence (AI), Intelligent Transport, Digital Twin, Robotics (such as Autonomous Cleaning & Delivery), and Predictive Maintenance solutions into transport hubs.
• Explore data analytics and smart building performance monitoring solutions to drive operational efficiency.
• Evaluate emerging digital trends to ensure future-proofing of transport infrastructure projects.

Compliance, Standards & Sustainability

• Ensure compliance with international Intelligent Transportation Systems (ITS) and Smart Mobility standards and certifications such as ITE (Institute of Transportation Engineers), ISO 14813, NTCIP (National Transportation Communications for Intelligent Transportation System Protocol), and IEEE 1512.
• Drive sustainable design initiatives, incorporating energy-efficient solutions, environmental monitoring, and space utilization strategies.
• Develop frameworks for smart city integration, enhancing urban mobility and digital connectivity.

Mandatory Qualifications & Experience:

• 7-10 years of experience in Smart Mobility / Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, Computer Science, Data Science, or a related field.
• Proven experience as a Master System Integrator (MSI) in a major system integration company such as Siemens, Schneider, Honeywell, Johnson Controls, or similar firms is highly desirable.
• Strong knowledge of mature SMART technology solutions, including IoT and Intelligent Transport Systems.
• Experience working with design, advisory, or consultancy firms in transport infrastructure projects (airports, metro stations, ports, roads, tunnels, etc.).
• Demonstrated expertise in SMART system design, interoperability, and integration for transport hubs.

Highly Desirable Qualifications & Experience:

• Exposure to AI-powered solutions, Digital Twins, and Robotics for predictive maintenance and automation.
• Certifications in WiredScore, SmartScore, or UL Spire.
• Understanding of User Experience (UX) studies and their role in SMART transport infrastructure.

Key Skills & Competencies:

• SMART Building/City Design and Internet of Things (IoT) integration.
• Familiarity with ITS standards, policies, and best practices.
• Experience with AI, IoT, cloud-based solutions for transport applications.
• Familiarity with working with public sector transport authorities.
• Knowledge of Sustainable Building Solutions, Energy Efficiency, and Environmental Monitoring.
• Strong analytical, problem-solving, and technical evaluation skills.
• Excellent communication and stakeholder management skills.

Job Title: AIML Engineer
Position: SE
Experience: 5-6 yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Primary Skill-AI/ML
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.

Responsibilities
===
You are a talented ML Engineer who likes a challenge. We are looking to build ML/AI solutions that possess the transformative power to help clients adopt ML-Ops platforms into the very fabric of what they do.
From the implementation of ML/AI into critical infrastructure, all the way through to building out the latest recommendation engine
for digital marketing; the opportunity to develop, learn and create is here. You will help support the creation of thought-provoking
solutions using the likes of Kubeflow/ML-Flow and bring a good understanding of Kubernetes to deliver ML/AL at scale, but equally you
will bring the ability to work collaboratively with clients and help lead them on their journey to reap the benefits of ML/AI.
You are a self-starter, fast-learner, and bring a high level of drive and tenacity, but are down to earth and able to connect
with a wide range of internal and external stakeholders. Our junior team members are always looking for role models and
you will relish the opportunity to help shape the next generation of ML/AI specialists and support building out our growing Centre of
Excellence and lead from the front.
Requirements:
===
We are looking for great people to join a great culture. We do not expect everyone to have all of the skills below, but you re the type of person who has the ability to get there quickly:
Candidate should be proactive, problems solvers, ready to learn on their own.
Proficiency in one or more modern programming languages, mainly Python
Can work across one or more of the common cloud environments Azure/AWS/GCP
Solid understanding of a ML/AI libraries and algorithms cutting across the likes of Scikit-Learn, Keras and TensorFlow
Demonstrable experience of Kubernetes, Kubeflow/ML-flow and ability to manage containerised workflows, including performance monitoring and tuning and solid understanding of ML-Ops practices to drive production model reliability and efficiency.
Advanced knowledge of application, data, and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Knowledge of industry-wide technology trends and best practices across Machine Learning, Data Movement, Security, etc.
Ability to work in large, collaborative teams to achieve organizational goals.
Passionate about building an innovative culture.
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Ability to see the road ahead and design reusable code.
Must Have Skills
===
ML/AI libraries and algorithms
Python
Kubernetes, Kubeflow/ML-flow
ML-Ops practices
Cloud Knowledge
Scikit-Learn, Keras and TensorFlow
Candidate should be proactive, Problems solvers, ready to learn on their own
Good to have Skills
===
Worked on any of common cloud environments Azure/AWS/GCP
workflows
Database

Teamware Solutions is seeking a talented and innovative AI / Machine Learning Engineer to join our growing team. This pivotal role involves working with cutting-edge artificial intelligence and machine learning technologies, ensuring smooth operations, and directly contributing to our business objectives by leveraging AI to solve complex problems and drive intelligent solutions within the Artificial Intelligence (AI) domain.

Roles and Responsibilities:

• Analysis & Data Preparation: Conduct in-depth analysis of business problems to identify AI/ML opportunities. Perform data collection, cleansing, feature engineering, and preprocessing of large datasets to prepare them for model training.
• Model Development & Training: Design, develop, train, and evaluate various machine learning models (e.g., supervised, unsupervised, deep learning, NLP, computer vision) using relevant algorithms and frameworks.
• Implementation & Deployment: Implement AI/ML algorithms and integrate trained models into production systems and applications. Work on deployment pipelines to ensure models are scalable and performant in real-world environments.
• Troubleshooting & Optimization: Monitor the performance of deployed AI/ML models, troubleshoot issues, and continuously optimize models for accuracy, efficiency, and resource utilization.
• Research & Innovation: Stay abreast of the latest advancements, research papers, and industry trends in Artificial Intelligence and Machine Learning. Experiment with new technologies and methodologies to bring innovative solutions to the business.
• Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to understand requirements, define project scope, and deliver impactful AI-driven solutions.
• Documentation: Create clear and comprehensive documentation for AI models, development processes, and deployment strategies.

Preferred Candidate Profile:

Technical Proficiency:

• Strong programming skills in languages commonly used in AI/ML (e.g., Python, R, Java, Scala).
• Proficiency with key machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Solid understanding of machine learning algorithms, statistical modeling, and data structures.
• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
• Familiarity with database concepts and querying (SQL/NoSQL).
• Cloud Platforms (Plus): Experience with cloud-based AI/ML services and platforms (e.g., AWS SageMaker, Azure ML, Google Cloud AI Platform) is a significant advantage.
• MLOps (Plus): Understanding of MLOps principles, including model versioning, deployment, monitoring, and retraining strategies.
• Problem-Solving: Exceptional analytical and problem-solving skills with the ability to break down complex problems and devise effective AI/ML solutions.
• Communication: Strong verbal and written communication skills to articulate complex technical concepts to both technical and non-technical audiences.

Key Responsibilities:

• AI Assistant Development
• Develop and deploy Slack-based AI assistants leveraging Gemini models tailored for enterprise workflows.
• Prompt Engineering
• Design and implement optimized prompt templates for enterprise data use cases, including integrations with Looker and Confluence.
• Embedding Pipeline Management
• Establish and maintain a scalable embedding pipeline for Confluence documentation.
• Orchestration Logic
• Build and maintain orchestration logic for prompt execution and contextual data retrieval.
• Authentication & Access Control
• Configure API authentication and enforce role-based access controls for integrated systems.
• Vector Store Integration
• Connect and validate operations with vector databases such as Pinecone, Weaviate, or Snowflake vector extension.
• Documentation & Testing
• Contribute to internal documentation, conduct walkthroughs, and assist in user acceptance testing (UAT) planning.
• Agile Collaboration
• Participate in Agile ceremonies including daily standups, sprint planning, and demos.

Required Qualifications:

• Proven experience deploying Gemini or other large language models (LLMs) in production environments
• Proficiency in Python, orchestration tools, and advanced prompt engineering
• Strong knowledge of embedding workflows and vector databases
• Experience integrating APIs with enterprise platforms like Looker and Confluence
• Understanding of enterprise authentication protocols and role-based access control
• Background working in Agile, sprint-based environments

Preferred Qualifications:

• Hands-on experience with Slack app development and deployment
• Familiarity with MLOps, LLMOps, or orchestration of large-scale AI systems
• Excellent communication skills and ability to collaborate with cross-functional teams