BENGALURU · FULLTIME
AI Engineer
Zensar Technologies
Bengaluru · onsite · Posted 44d ago
Sourced from
Undisclosed0–5 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
We are seeking an innovative and highly skilled AI Engineer to design, develop, deploy, and optimize Artificial Intelligence and Generative AI solutions. The ideal candidate will have expertise in Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), AI application development, and cloud-based AI platforms. The role involves building intelligent systems that drive automation, enhance decision-making, and deliver business value.
Required Qualifications
- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 4+ years of experience in AI/ML development.
- Hands-on experience building and deploying machine learning models.
- Strong proficiency in Python and AI/ML frameworks.
- Experience with Generative AI, LLMs, and RAG architectures.
- Experience working with cloud AI services and APIs.
- Understanding of responsible AI and model governance.
- Strong analytical and problem-solving abilities.
- Experience with Agentic AI and Autonomous AI Systems.
- Azure AI Engineer Associate, AWS Machine Learning, or GCP AI certifications.
- Knowledge of MLOps and model deployment best practices.
- Experience in Retail, E-Commerce, Banking, Healthcare, or Supply Chain domains.
- Familiarity with AI observability and monitoring tools.
- Artificial Intelligence Development
- Generative AI Solution Design
- Problem Solving
- Analytical Thinking
- Innovation and Research
- Stakeholder Communication
- Collaboration and Teamwork
- Continuous Learning
- Model Accuracy and Performance
- AI Solution Adoption Rate
- Response Quality of AI Systems
- Time-to-Production for AI Solutions
- Cost Optimization of AI Workloads
- Model Reliability and Availability
- Business Impact Delivered
Key Responsibilities
- Design, develop, and deploy AI/ML and Generative AI solutions.
- Build and optimize machine learning models for business use cases.
- Develop AI-powered applications using LLMs and NLP techniques.
- Implement Retrieval-Augmented Generation (RAG) frameworks and AI agents.
- Fine-tune and evaluate foundation models for specific business requirements.
- Integrate AI services with enterprise applications and APIs.
- Develop data pipelines for model training, validation, and deployment.
- Monitor model performance, accuracy, and reliability in production environments.
- Collaborate with Data Scientists, Architects, Product Owners, and Engineering teams.
- Ensure AI solutions comply with security, privacy, and responsible AI standards.
- Stay updated with advancements in AI, GenAI, Agentic AI, and MLOps.
- Machine Learning Algorithms
- Deep Learning
- Supervised Unsupervised Learning
- Model Training and Optimization
- Feature Engineering
- Model Evaluation and Validation
- Large Language Models (LLMs)
- OpenAI, Azure OpenAI
- Gemini, Claude, Llama
- Prompt Engineering
- Fine-Tuning Techniques
- RAG (Retrieval-Augmented Generation)
- Vector Databases
- LangChain
- LangGraph
- CrewAI
- Semantic Kernel
- AI Agents Multi-Agent Systems
- Python (Mandatory)
- SQL
- JavaScript (Good to Have)
- TensorFlow
- PyTorch
- Scikit-learn
- Hugging Face Transformers
- PostgreSQL
- SQL Server
- MongoDB
- Pinecone
- Weaviate
- ChromaDB
- FAISS
- Azure AI Search
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
- MLflow
- Kubeflow
- Docker
- Kubernetes
- GitHub Actions
- Azure DevOps
- Jenkins
- Pandas
- NumPy
- Apache Spark
- Data Pipelines
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
AutomationJenkinsDevopsDockerGithubclaudeCrewaiapisApachegoogle cloud platformamazon web servicesFAISSai engineerKernelgeminiKubeflowBankingdeploymentHealthcareJavascriptcloudAlgorithmsMicrosoft AzureGenerative AiArtificial Intelligence
Section · Company
About Zensar Technologies
Zensar Technologies
IT Services & Consulting
10.0k+
employees
2001
25 years old
Pune, Maharashtra
India
About
Zensar is a global organization that conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for leading companies.
Industries
IT Services & Consulting
Employee ratings
2,994 reviews
3.7/ 5
Culture
3.5
Career growth
3.0
Work-life
3.8
Employees rate it well for
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