Job Description

What you will be doing:

• Designs, develops, and implements artificial intelligence systems to solve complex real-world problems and enhance business processes. These systems include machine learning models, natural language processing (NLP) algorithms, computer vision solutions, recommendation engines, and predictive analytics tools.
• AI Engineers leverage cutting-edge technologies to build systems capable of decision-making, automation, and advanced data analysis.
• Key responsibilities include building/running AI Systems, developing and training machine learning models, building AI pipelines, integrating AI capabilities into applications, optimizing algorithms for efficiency and scalability, and ensuring the ethical deployment of AI solutions.
• Proficiency in programming languages like Python, knowledge of AI frameworks such as TensorFlow or PyTorch, and expertise in data preprocessing, neural networks, and cloud platforms are essential. AI Engineers also need skills in managing big data systems, deploying AI models into production, and working with tools for monitoring and maintaining AI systems post-deployment.
• Strong problem-solving skills, a deep understanding of emerging AI technologies, and the ability to collaborate with cross-functional teams are vital traits for success in this role.

What we are looking for:

• Completed IT degree / BSc degree or other related fields
• 8 - 10 years of experience as AI Developer with experience/exposure to Databricks Platform
• Building/running AI Systems, developing and training machine learning models, Building AI pipelines,
• Integrating AI capabilities into applications, optimizing algorithms for efficiency & scalability.

AI Frameworks/Systems/Technologies

• Prompt engineering
• LangChain
• LlamaIndex
• CrewAI
• Ollama
• RAG
• Agents
• React/Angular
• TensorFlow/PyTorch
• Natural Language Processing (NLP) frameworks
• Computer Vision libraries (e.g., OpenCV, YOLO)
• Recommendation engines
• MS Presidio

Data Science

• Python (NumPy, Pandas, Scikit-learn)
• R
• Jupyter Notebooks
• Tableau/Power BI
• SQL
• Apache Spark (for analysis)

Data Engineering

• Apache Kafka
• Apache Airflow
• Hadoop
• Snowflake
• Google BigQuery
• AWS Glue
• ETL Tools (Talend, Informatica)
• Spark
• NoSQL Databases (MongoDB, Cassandra)
• Databricks

MLOps/Platforms

• Docker
• Kubernetes
• MLflow
• Git/GitHub for version control
• AWS Sagemaker, Bedrock, Lambda, etc.
• Databricks
• Kubeflow
• CI/CD pipelines (Azure ADO/Jenkins/CircleCI
• Prometheus/Grafana for monitoring
• Terraform/Ansible for infrastructure as code (IaC)
• Statistical modeling tools

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.
Please note that most of our positions are remote however candidates should be residing within the traveling distance as circumstance of the opportunity can change.