AI Engineer
AI Engineer
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5years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Are you passionate about artificial intelligence and building innovative scalable AI systems Were on the lookout for a Senior AI Developer with 5 8 years of experience who thrives in greenfield environments and has hands-on experience with Databricks and Generative AI technologies.
Join our forward-thinking team to accelerate AI and GenAI adoption across the organization by developing impactful lighthouse use cases that demonstrate real business value.
Were solving the challenge of fast-tracking AI/GenAI by building cutting-edge scalable use cases that define our AI future. You ll contribute to foundational architectures develop advanced AI pipelines and work with some of the most innovative technologies in the industry today.
5 8 years of hands-on experience as an AI Developer with exposure to Databricks
Proven experience in:
Building and running AI systems
Developing and training machine learning models
Creating scalable AI pipelines
Integrating AI into enterprise applications
Algorithm optimization for efficiency and scale
6 8 years in Machine Learning and AI Engineering
Key Responsibilities:
Design develop and deploy AI/ML solutions to solve complex business problems
Build GenAI-powered applications and pipelines (RAG Agents LLMs)
Optimize models for production scalability and performance
Ensure ethical secure and responsible AI deployment
Collaborate with cross-functional teams (data science product engineering DevOps)
Monitor maintain and enhance AI systems post-deployment
Contribute to cloud-based MLOps pipelines and CI/CD strategies
Technical Skills:
AI Frameworks & GenAI:
LangChain LlamaIndex CrewAI Ollama RAG Agents
TensorFlow PyTorch NLP frameworks
Computer Vision (OpenCV YOLO) Recommendation Engines
Prompt engineering and LLM fine-tuning
Programming & Data Science:
Python (NumPy Pandas Scikit-learn) R SQL
Jupyter Notebooks Tableau Power BI
Apache Spark MLflow
Data Engineering:
Databricks Apache Kafka Airflow Hadoop
Snowflake BigQuery AWS Glue NoSQL (MongoDB Cassandra)
ETL tools (Talend Informatica)
MLOps & Deployment:
Docker Kubernetes Git MLflow
AWS (Sagemaker Bedrock Lambda)
Kubeflow CI/CD (Azure DevOps Jenkins CircleCI)
Monitoring (Prometheus Grafana)
Terraform/Ansible for Infrastructure as Code
Generative AI: LangChain MLFlow AWS Bedrock Vector DBs
Platforms: Databricks AWS Spark Kubernetes
CI/CD & Monitoring: Azure DevOps Prometheus Grafana
Machine Learning, Databricks Platform, Integrating AI capabilities into applications
Employment Type
Full Time
