AI/ML Engineer - Generative AI Models
Description
Role : Lead/ Sr. Engineer - AIML Specialist
Exp : 7 - 14 Years
Location : Benguluru (Work from Office)
We are looking for someone with :
- A bachelors degree in Computer Science, Data Engineering, or a related field (masters preferred).
- 5+ years of experience in data architecture, with a focus on AI/ML-enabled systems.
- Hands-on experience with Generative AI models (e.g., OpenAI GPT, BERT, or similar), including fine-tuning and deployment.
- Proficiency in data engineering tools and frameworks, such as Apache Spark, Hadoop, and Kafka.
- Deep knowledge of database systems (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP), including their AI/ML services (e.g., AWS Sagemaker, Azure ML, GCP Vertex AI).
- Strong understanding of data governance, MLOps, and AI model lifecycle management.
- Experience with programming languages such as Python or R and frameworks like TensorFlow or PyTorch.
- Excellent problem-solving and communication skills, with a demonstrated ability to lead cross-functional teams.
Preferred Skills :
- Familiarity with LLM fine-tuning, prompt engineering, and embedding models.
- Experience integrating generative AI solutions into production-level applications.
- Knowledge of vector databases (e.g., Pinecone, Weaviate) for storing and retrieving embeddings.
- Expertise in APIs for AI models, such as OpenAI API or Hugging Face Transformers.
Nice to have : Experience in GenAI / AI-driven commercial analytics, a Life Sciences consulting background, or Veeva / Salesforce certifications.
Skills
- AI
- Analytics
- API
- AWS
- Azure
- Cloud
- Data Engineering
- Data Governance
- Embeddings
- Fine Tuning
- GCP
- Generative AI
- Hadoop
- Hugging Face
- Kafka
- LLM
- Machine Learning
- MLOps
- NoSQL
- OpenAI
- Pinecone
- Prompt Engineering
- Python
- PyTorch
- SageMaker
- Salesforce
- Spark
- SQL
- TensorFlow
- Transformers
- Vector Databases
- Veeva
- Vertex AI
- Weaviate