Job Description

About the Role:

We're seeking an

AI/ML Engineer

to build, train, and deploy machine learning and generative AI models. You'll work across data, engineering, and product teams to create scalable AI solutions using the latest tools and frameworks.

Responsibilities:

Develop and deploy

ML, DL, and GenAI models

(LLMs, NLP, Computer Vision). Build

end-to-end ML pipelines

-- data prep, training, testing, and deployment. Integrate models with

APIs and cloud platforms

. Implement

MLOps

for automation, CI/CD, and monitoring. Optimize models for

accuracy, scalability, and performance

. Stay current with

AI/ML and LLM advancements

.

Skills & Tools:

Languages:

Python, SQL, R, Java/Scala

Frameworks:

TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras

GenAI & LLMs:

OpenAI, Hugging Face, LangChain, LlamaIndex, RAG, Vector DBs (Pinecone, Weaviate)

Data Stack:

Pandas, NumPy, Spark, Databricks, Airflow, BigQuery

MLOps:

Docker, Kubernetes, MLflow, SageMaker, Vertex AI, Azure ML

Cloud:

AWS / GCP / Azure

Version Control:

Git, GitHub, JIRA

Soft Skills:

Analytical mindset, strong communication, teamwork, and curiosity to learn emerging AI tools.

Preferred Qualifications:

Degree in CS, AI, or Data Science Experience with

GenAI / LLM fine-tuning / MLOps

Certifications (AWS AI/ML, Coursera, Stanford AI) are a plus
Job Type: Full-time

Pay: ?40,000.00 - ?45,000.00 per month

Benefits:

Paid sick time Work from home
Education:

Bachelor's (Preferred)
Experience:

Business development: 3 years (Required) total work: 1 year (Preferred)
Language:

English (Preferred)
Work Location: In person