AI / Generative AI Engineer

Role : AI / Generative AI Engineer

Location : Remote ( Pan India ).

Job Type : Full-time or Contract.

Overview :

We are seeking a highly skilled and motivated AI / Generative AI Engineer to join our innovative team.

The ideal candidate will have a strong background in designing, developing, and deploying artificial intelligence and machine learning models, with a specific focus on cutting-edge Generative AI technologies.

This role requires hands-on experience with one or more major cloud platforms (Google Cloud Platform GCP, Amazon Web Services AWS) and / or modern data platforms (Databricks, Snowflake).

You will be instrumental in building and scaling AI solutions that drive business value and transform user experiences.

Key Responsibilities :

Design and Development :

• Design, build, train, and deploy scalable and robust AI / ML models, including traditional machine learning algorithms and advanced Generative AI models (e.g., Large Language Models LLMs, diffusion models).
• Develop and implement algorithms for tasks such as natural language processing (NLP), text generation, image synthesis, speech recognition, and forecasting.
• Work extensively with LLMs, including fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and evaluating their performance.
• Develop and manage data pipelines for data ingestion, preprocessing, feature engineering, and model training, ensuring data quality and integrity.

Platform Expertise :

MLOps and Productionization :

Collaboration and Innovation :

Required Qualifications :

1. GCP : Experience with Vertex AI, BigQuery ML, Google Cloud Storage, and other GCP AI / ML services.

2. AWS : Experience with SageMaker, Bedrock, S3, and other AWS AI / ML services.

3. Databricks : Experience building and scaling AI / ML solutions on the Databricks Lakehouse Platform, including MLflow.

4. Snowflake : Experience leveraging Snowflake for data warehousing, data engineering for AI / ML workloads, and Snowpark.

ref : hirist.tech)