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Specialized AI Talent Ready to Deliver

We offer deep and diverse AI roles tailored to your use cases, projects, and environments—ready to embed and execute from day one.

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Every Role You Need to Build and Scale AI Systems

AksharAI provides expert AI professionals across the full delivery spectrum—from core model engineering to infrastructure, product oversight, and operational quality. Whether you are building a proof-of-concept, scaling an enterprise-grade AI platform, or embedding intelligence into existing systems, we help you access the exact skills you need, with the clarity and structure required to execute.

Each role is matched carefully based on your business context, technical maturity, and delivery expectations. You can engage one or multiple professionals, either independently or as part of a coordinated team.

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Available AI Roles

Role-by-Role Breakdown

AI Engineers work on the development and deployment of intelligent systems. They bring a blend of algorithm knowledge, data handling, and model-building expertise.Ideal for startups building AI-driven products or enterprises embedding AI into existing systems.

Capabilities Include:
  • Designing and implementing machine learning pipelines
  • Integrating models into software systems
  • Working with APIs, inference logic, and infrastructure
  • Evaluating model performance in live settings
  • Applying responsible AI practices during development

Data Scientists focus on understanding, analyzing, and modeling complex datasets to uncover insights and predictions. Best suited for teams working on prediction, classification, optimization, and experimentation.

Capabilities Include:
  • Exploratory data analysis and statistical modeling
  • Feature engineering and dataset preparation
  • Model selection and experimentation
  • Visualization and interpretability methods
  • Business impact analysis based on model output

MLOps Architects ensure that AI models move from prototype to production with reliability, scalability, and maintainability.Critical for teams moving beyond research into operational systems.

Capabilities Include:
  • Designing CI/CD workflows for AI models
  • Setting up model versioning and monitoring systems
  • Managing infrastructure for real-time inference
  • Ensuring compliance, security, and audit-readiness
  • Working with cloud and hybrid deployment environments
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Prompt Engineers specialize in developing, optimizing, and evaluating prompts for large language models and generative AI tools.Ideal for teams using GPT, Claude, or custom LLMs within their products or workflows.

Capabilities Include:
  • Designing structured prompts for different tasks
  • Tuning prompts for consistency, reliability, and safety
  • Embedding prompt chains into applications and workflows
  • Working with RAG systems and embedding models
  • Evaluating LLM behavior across user scenarios

TPMs connect the business goals with AI implementation. They help shape the roadmap, scope features, and manage cross-functional collaboration.Useful for organizations running productized AI systems or custom solutions.

Capabilities Include:
  • Defining product requirements in collaboration with engineering
  • Managing AI product lifecycle and delivery timelines
  • Aligning stakeholders and facilitating sprint planning
  • Translating model outcomes into user features
  • Working closely with design, infra, and compliance teams

Annotation teams are responsible for preparing high-quality datasets, while QA ensures the accuracy and consistency of models in production.Essential for teams working on supervised models or those improving system performance with human-in-the-loop processes.

Capabilities Include:
  • Data labelling for NLP, vision, and structured tasks
  • Consistency audits and labelling framework setup
  • Creating guidelines and annotation workflows
  • Testing models against benchmarks and production data
  • Reporting quality metrics to inform retraining cycles

We Prioritize Readiness, Not Just Resume Skills

Every role we propose has been vetted not only for technical expertise but also for communication clarity, project maturity, and delivery mindset. Our selection includes a live assessment, portfolio review, and reference checks conducted by senior members of the AksharAI team.

We look for professionals who can think, build, explain, and collaborate.

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Start With One Role or Build a Full Squad

Roles are available for short-term, full-time, or flexible-duration engagements.

You can choose to engage:
  • A single expert embedded in your internal team
  • A cross-functional delivery squad covering multiple roles
  • A fractional setup across multiple part-time contributors
  • A long-term embedded team aligned to your roadmap
Explore Engagement Models
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