Position:
Artificial Intelligence Engineer III
Job Description:
What you’ll be doing:
We are seeking a highly skilled and motivated AI Engineer for developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation.
What we’re looking for:
Technical Expertise
- Working Experience in Python, PyTorch, SQL, TensorFlow, PySpark, Scikit-Learn
- Expertise in AI, Agentic AI & LLMs - LangChain, LangGraph, Hugging Face, OpenAI GPT, Gemini, LLaMA
- Hands-on in Data Lake : DataBricks
- Experience in MLOps & LLMOps: MLflow, Docker, Kubernetes,Git CI/CD, Postman, Streamlit, FastAPI, Flask
- Knowledge on Cloud AI Platforms: AWS (SageMaker, S3, etc), Azure (AI, OpenAI, Cognitive Search, App Services), Google Cloud (Vertex AI)
Qualifications:
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred.
- Experience: Minimum of 5 years of experience in AI projects, data science, or a related field.
- Skills:
- Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).
- Proficiency in programming languages like Python, .Net
- Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices.
- Knowledge of big data processing tools (e.g., Hadoop, Apache Spark).
- Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.).
- Experience in building AI Solutions using on premise and Cloud technologies.
- Experience with agile methodologies and tools (e.g., Jira, Trello) for building technical projects.
- Demonstrated ability to manage multiple projects simultaneously and prioritize effectively.
- Strong problem-solving, analytical, and communication skills.
- Knowledge of AI ethics and regulatory compliance frameworks.
- Proficiency with data engineering and cloud architecture principles.
Location:
IN-KA-Bangalore, India (SKAV Seethalakshmi) GESC
Time Type:
Full time
Job Category:
Information Technology