Sr. AI / ML Engineer

Job Summary:

Data Scientist Lead

Key Responsibilities:

· Lead the development and maintenance of Python-based AI/ML applications (Python 3.10+).

· Design, build, and deploy machine learning models using open-source frameworks, especially those hosted on platforms like Hugging Face.

· Work with Large Language Models (LLMs) and contribute to fine-tuning and custom model training efforts.

· Architect and implement cloud-native AI/ML solutions on AWS or Azure, covering compute, storage, and deployment services.

· Enhance performance and accuracy of search systems using Vector Databases and advanced Search Optimization techniques.

· Develop NLP solutions using libraries such as NLTK, SpaCy, and related frameworks.

· Optional but preferred: Experience with tools such as LangChain, LLamaIndex, Semantic Kernel, or Dspy.

· Apply MLOps best practices for model lifecycle management, including versioning, deployment, and monitoring.

· Collaborate with data engineering teams to prepare and manage datasets for training and inference.

Required Qualifications:

· Bachelor’s degree in Computer Science, Engineering, or a related field.

· Minimum of 7 years of professional experience in AI/ML, NLP, and Python development.

· Strong programming skills in Python (3.10 or higher).

· Proven experience working with cloud platforms such as AWS or Azure.

· Solid understanding of machine learning concepts, model evaluation, and deployment.

· Hands-on expertise with NLP tools (e.g., NLTK, SpaCy).

· Experience in using Vector Databases and search enhancement methodologies.

· Familiarity with MLOps pipelines and practices.

· Exposure to Data Engineering tools and workflows is advantageous.

Benefits:

· Competitive compensation package.

· Learning and growth opportunities in an innovation-driven environment.

· Collaborative culture that values experimentation and knowledge sharing.

· Health insurance and other employee benefits.

Kindly share your CV at kaushalraj.choudhary@latentbridge.com