161 AI Consultant jobs in Coimbatore

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.

At Andela, we’re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We’re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to a multitude of exclusive technologist roles.

Join Andela today to access this opportunity and more in our global marketplace!

Our roles are typically filled at lightning speed, so if you’re considering applying, get your application in quickly!

We are looking for a strategic and client-facing Lead Generative AI Engineer to join our freelance talent network. This network is comprised of senior, consultative individuals who partner with us on pre-sales activities, discovery sessions, and short-term proof-of-concept (PoC) projects, often lasting around six weeks with the potential to extend. As a Lead Consultant, you will be at the forefront of shaping and delivering high-impact GenAI solutions, taking ownership from conception to deployment for our clients. This role requires individuals who are established independent consultants, comfortable with short-notice, and open to fractional or project-based engagements.

Key Responsibilities:

• Solution Leadership: Engage directly with clients to understand their business challenges and lead the ideation and design of innovative Generative AI solutions.
• Technical Architecture: Translate client needs into actionable solution concepts, defining the architecture, data strategy, model selection, and tooling required for success.
• Project Ownership: Lead the end-to-end delivery of GenAI solutions, ensuring technical quality, alignment with business goals, and timely execution of project milestones.
• Team Mentorship: Guide and mentor cross-functional teams, including other engineers and data scientists, fostering best practices and ensuring project accountability.
• Hands-On Contribution: While leading the project, remain hands-on with tools, models, and code to prototype, build, and troubleshoot complex components of the application.
• Stakeholder Management: Serve as the key technical point of contact for clients, managing expectations, providing clear progress updates, and maintaining strong relationships.
• Proposal Development: Collaborate with Andela’s internal teams to co-develop tailored proposals, Statements of Work (SOWs), and implementation roadmaps.

Qualifications:

• Proven experience leading technical teams and taking ownership of the design, development, and deployment of AI-driven solutions.
• Strong, client-facing communication skills with the ability to articulate complex technical concepts to both executive and technical stakeholders.
• Deep understanding of Generative AI technologies, including LLMs (e.g., GPT, Claude, LLaMA), RAG architectures, vector databases, embeddings, and agentic systems.
• Demonstrated ability to develop and deploy GenAI solutions using Python and relevant frameworks (e.g., LangChain, LlamaIndex).
• Hands-on experience with cloud-based ML/AI services such as AWS Sagemaker, Azure OpenAI, or Google Vertex AI.
• Prior experience in a consulting, pre-sales, or freelance capacity is strongly preferred, demonstrating an ability to work effectively with external clients.
• Comfort with the dynamic nature of short-term PoC projects where requirements may evolve.

Availability:

• 5 - 8 hours overlap with EST, according to client needs
• Immediate or up to 1-2 weeks notice
• Open to short-term projects such as discovery proposals and 6 weeks POCs

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.

At Andela, we’re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We’re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to a multitude of exclusive technologist roles.

Join Andela today to access this opportunity and more in our global marketplace!

Our roles are typically filled at lightning speed, so if you’re considering applying, get your application in quickly!

We are looking for a strategic and client-facing Lead Generative AI Engineer to join our freelance talent network. This network is comprised of senior, consultative individuals who partner with us on pre-sales activities, discovery sessions, and short-term proof-of-concept (PoC) projects, often lasting around six weeks with the potential to extend. As a Lead Consultant, you will be at the forefront of shaping and delivering high-impact GenAI solutions, taking ownership from conception to deployment for our clients. This role requires individuals who are established independent consultants, comfortable with short-notice, and open to fractional or project-based engagements.

Key Responsibilities:

• Solution Leadership: Engage directly with clients to understand their business challenges and lead the ideation and design of innovative Generative AI solutions.
• Technical Architecture: Translate client needs into actionable solution concepts, defining the architecture, data strategy, model selection, and tooling required for success.
• Project Ownership: Lead the end-to-end delivery of GenAI solutions, ensuring technical quality, alignment with business goals, and timely execution of project milestones.
• Team Mentorship: Guide and mentor cross-functional teams, including other engineers and data scientists, fostering best practices and ensuring project accountability.
• Hands-On Contribution: While leading the project, remain hands-on with tools, models, and code to prototype, build, and troubleshoot complex components of the application.
• Stakeholder Management: Serve as the key technical point of contact for clients, managing expectations, providing clear progress updates, and maintaining strong relationships.
• Proposal Development: Collaborate with Andela’s internal teams to co-develop tailored proposals, Statements of Work (SOWs), and implementation roadmaps.

Qualifications:

• Proven experience leading technical teams and taking ownership of the design, development, and deployment of AI-driven solutions.
• Strong, client-facing communication skills with the ability to articulate complex technical concepts to both executive and technical stakeholders.
• Deep understanding of Generative AI technologies, including LLMs (e.g., GPT, Claude, LLaMA), RAG architectures, vector databases, embeddings, and agentic systems.
• Demonstrated ability to develop and deploy GenAI solutions using Python and relevant frameworks (e.g., LangChain, LlamaIndex).
• Hands-on experience with cloud-based ML/AI services such as AWS Sagemaker, Azure OpenAI, or Google Vertex AI.
• Prior experience in a consulting, pre-sales, or freelance capacity is strongly preferred, demonstrating an ability to work effectively with external clients.
• Comfort with the dynamic nature of short-term PoC projects where requirements may evolve.

Availability:

• 5 - 8 hours overlap with EST, according to client needs
• Immediate or up to 1-2 weeks notice
• Open to short-term projects such as discovery proposals and 6 weeks POCs

Overview

We are seeking a Subject Matter Expert (SME) in Azure Data & AI to drive the technical depth, accuracy, and instructional value of our training content. You’ll lead the definition and review of presentations, labs, and real-world scenarios on Azure’s modern data and AI stack, working closely with content creators to shape advanced, certification-aligned learning experiences.

Key Responsibilities

• Define and validate learning content aligned to DP-203, AI-102, and DP-100 certification paths
• Provide technical guidance on Azure data pipelines, lakehouse architecture, and ML/AI integration
• Design and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services
• Translate AI/ML concepts (e.g., model lifecycle, prompt engineering, RAI) into structured training materials
• Stay current with Microsoft’s evolving data/AI ecosystem including OpenAI integration and Fabric convergence
• Ensure quality, realism, and accuracy across all deliverables, collaborating with writers and stakeholders

Required Skills

• Deep hands-on experience in:
• Data: Azure Synapse, Data Factory, Databricks, Data Lake Gen2, Cosmos DB, Event Hub 
• AI: Azure OpenAI, Cognitive Services, Azure Machine Learning Studio, Responsible AI   
• 7+ years in roles such as data engineer, ML engineer, AI architect, or applied data scientist
• Proficient with Spark, Python, SQL, and REST APIs
• Strong grasp of AI-based application architecture, ethical AI practices, and cloud-scale data governance
• Ability to bridge technical concepts for instructional teams and content developers

Good-to-Have

• Certifications: DP-203, AI-102, DP-100 (preferred, not mandatory) 
• Experience building or validating technical training content
• Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM
• Experience with prompt engineering and Azure OpenAI orchestration tools (e.g., LangChain, Semantic Kernel)

Overview

We are seeking a Subject Matter Expert (SME) in Azure Data & AI to drive the technical depth, accuracy, and instructional value of our training content. You’ll lead the definition and review of presentations, labs, and real-world scenarios on Azure’s modern data and AI stack, working closely with content creators to shape advanced, certification-aligned learning experiences.

Key Responsibilities

• Define and validate learning content aligned to DP-203, AI-102, and DP-100 certification paths
• Provide technical guidance on Azure data pipelines, lakehouse architecture, and ML/AI integration
• Design and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services
• Translate AI/ML concepts (e.g., model lifecycle, prompt engineering, RAI) into structured training materials
• Stay current with Microsoft’s evolving data/AI ecosystem including OpenAI integration and Fabric convergence
• Ensure quality, realism, and accuracy across all deliverables, collaborating with writers and stakeholders

Required Skills

• Deep hands-on experience in:
• Data: Azure Synapse, Data Factory, Databricks, Data Lake Gen2, Cosmos DB, Event Hub 
• AI: Azure OpenAI, Cognitive Services, Azure Machine Learning Studio, Responsible AI   
• 7+ years in roles such as data engineer, ML engineer, AI architect, or applied data scientist
• Proficient with Spark, Python, SQL, and REST APIs
• Strong grasp of AI-based application architecture, ethical AI practices, and cloud-scale data governance
• Ability to bridge technical concepts for instructional teams and content developers

Good-to-Have

• Certifications: DP-203, AI-102, DP-100 (preferred, not mandatory) 
• Experience building or validating technical training content
• Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM
• Experience with prompt engineering and Azure OpenAI orchestration tools (e.g., LangChain, Semantic Kernel)

• Design and architect end-to-end AI/ML solutions for clients.
• Collaborate with clients to define requirements and identify AI opportunities.
• Select appropriate AI technologies, tools, and platforms.
• Develop data strategies, model development frameworks, and deployment pipelines.
• Provide technical leadership and guidance to project teams.
• Evaluate and recommend new AI technologies and methodologies.
• Ensure solutions are scalable, reliable, and cost-effective.
• Communicate technical concepts to both technical and non-technical stakeholders.
• Develop proof-of-concept projects and presentations.

• Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.
• Extensive experience in AI, machine learning, and data science.
• Proven experience in designing and implementing AI solutions using cloud platforms.
• Strong understanding of ML algorithms, MLOps, and data engineering principles.
• Excellent communication, presentation, and client-facing skills.
• Ability to lead technical teams and manage project delivery.

• Design and architect scalable AI/ML solutions.
• Select appropriate AI technologies and frameworks.
• Develop and document AI architecture patterns and best practices.
• Collaborate with cross-functional teams to define requirements and specifications.
• Provide technical leadership and guidance to development teams.
• Evaluate and integrate third-party AI services and tools.
• Ensure the performance, security, and scalability of AI systems.
• Stay current with emerging AI trends and technologies.
• Contribute to the development of AI strategy and roadmap.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software architecture, with a focus on AI/ML.
• Deep understanding of machine learning, deep learning, NLP, and computer vision.
• Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI services.
• Knowledge of data engineering principles and MLOps.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Experience leading technical projects.