Role Summary :
We are looking for an experienced and dynamic AI Engineer with a strong background in client interaction, AI solution design, and PoC development.
The ideal candidate should be capable of understanding business requirements, translating them into AI architectures, and delivering rapid prototypes and scalable solutions using industry-standard tools and frameworks.
Key Responsibilities :
- Engage with clients to gather business objectives and define AI / ML use cases
- Translate functional requirements into detailed technical solutions and architecture
- Design and implement end-to-end AI Proof of Concepts (PoCs) for feasibility validation
- Build and fine-tune machine learning, deep learning, and NLP models
- Collaborate with data engineering teams for data sourcing, transformation, and feature engineering
- Work with DevOps / MLOps teams to deploy and monitor models in production
- Present PoC outcomes, technical documentation, and roadmaps to executives and business stakeholders
- Ensure compliance with AI ethics, security protocols, and governance standards
- Research and implement state-of-the-art AI / ML algorithms and frameworks
Core Tools & Technologies : Languages & Frameworks :
Python (mandatory), R, ScalaTensorFlow, PyTorch, Scikit-learn, XGBoostOpenCV, HuggingFace, TransformersLangChain, LlamaIndex (for LLM / RAG-based PoCs)NLP & Computer Vision :
SpaCy, NLTK, BERT, GPT, YOLO, Detectron2MLOps & Deployment :
MLflow, DVC, Airflow, KubeflowDocker, Kubernetes, FastAPI, FlaskCloud Platforms :
AWS (SageMaker, Comprehend)Azure ML, Google Vertex AIData Platforms & Protocols :
SQL, NoSQL, Delta Lake, Apache KafkaREST APIs, GraphQL, gRPCData Lakehouse / ETL protocolsOAuth2.0, SAML for secure integrationsVersion Control & CI / CD :
Git, GitLab CI / CD, Jenkins, Bitbucket PipelinesKey Requirements :
Bachelors or Masters in Computer Science, Data Science, AI / ML, or related field6 - 8 years of experience building and deploying AI solutionsDemonstrated ability to design, develop, and deliver AI PoCsStrong proficiency in machine learning, deep learning, NLP, and computer visionExperience with cloud-based AI services and scalable deploymentsAbility to engage with clients, understand business needs, and articulate solutionsKnowledge of AI governance, explainable AI (XAI), and model monitoringExcellent analytical, communication, and presentation skillsPreferred (Good to Have) :
Exposure to Generative AI, LLMs (OpenAI, Claude, Mistral, Gemini)Experience with data privacy protocols, model auditability, and compliance frameworks (ISO 42001, GDPR, SOC2)Familiarity with Agile / Scrum methodologies and JIRA / Confluence for sprint Join Us?Work with top-tier clients on transformational AI initiativesOpportunity to grow into AI Architect, Solution Consultant, or Tech Lead rolesCollaborative, innovation-driven environment with access to cutting-edge toolsFlexible work arrangements and career advancement programs(ref : hirist.tech)