Job Description

We're seeking an exceptional AI/ML Engineer to spearhead the design, development, and deployment of AI systems from the ground up. If you're passionate about tackling intricate AI challenges, constructing scalable AI solutions, and working at the forefront of machine learning technologies, we encourage you to apply.

Who You Are

A Self-Starter:

You take initiative and thrive in a dynamic, fast-paced environment.

Tech Enthusiast:

You're passionate about Python, Angular, Java Spring Boot, Microservices, and the potential of AI.

Problem Solver:

You possess strong analytical skills and can effectively debug and troubleshoot complex issues.

Team Player:

You're comfortable working independently but also excel in a collaborative team setting.

Domain Experience:

You have experience building AI solutions from inception, experience with FinTech, FP&A, and Accounting software is a plus

Build from scratch:

You've been involved in building AI applications from scratch and understand the intricacies and challenges they present.

What You'll Be Doing

AI Model Development & Deployment

: Design and implement state-of-the-art AI/ML models tailored for real-world applications, emphasizing scalability, reliability, and efficiency.

End-to-End AI System Architecture

: Engineer robust data pipelines, model training environments, and inference systems from scratch.

Large Language Model (LLM) Utilization

: Build, fine-tune, and deploy transformer-based models (e.g., GPT, BERT, Llama, T5) and distillation.

MLOps & CI/CD Integration

: Automate model deployment and management through tools like MLflow, Kubeflow, and cloud-based AI pipelines.

AI Model Optimization

: Continuously refine AI models to achieve high performance, cost-efficiency, and scalability.

Full-Stack AI Integration

: Collaborate with backend (e.g., Spring Boot, Flask, Django) and frontend (e.g., Angular, React, JavaScript) teams to seamlessly integrate AI solutions into applications.

DevOps & Cloud AI Deployment

: Deploy and manage AI models using Docker, Kubernetes, and cloud services (e.g., AWS, GCP, Azure).

Advancement of AI Capabilities

: Stay informed about cutting-edge AI research, tools, and open-source contributions to drive AI innovation.

Data Engineering and Architecture

: Design and implement robust data pipelines for AI/ML model training and inference, ensuring data quality and integrity.

Algorithm Development and Implementation

: Research, develop, and implement AI/ML algorithms to address specific business needs and optimize model performance.

Performance Monitoring and Tuning

: Continuously monitor and tune AI/ML models to ensure optimal performance, accuracy, and resource utilization.

Collaboration and Communication

: Work effectively with cross-functional teams, including product managers, software engineers, and data scientists, to deliver AI-powered solutions.

Technical Skills You'll Need

Programming Languages

: Proficiency in Python, C++, Go, or Java.

AI/ML Frameworks

: Strong expertise in TensorFlow, PyTorch, Hugging Face, or similar frameworks.

Model Architectures

: Deep understanding of transformer-based and diffusion-based models (e.g., GPT, Llama, Stable Diffusion).

MLOps Tools

: Experience with MLflow, Kubeflow, or other MLOps platforms.

Cloud Platforms

: Hands-on experience with AWS, GCP, or Azure, and their AI/ML services.

Data Processing

: Proficiency in data processing tools like Pandas, Spark, or Dask.

Database Management

: Expertise in SQL and NoSQL databases (e.g., MongoDB, CouchDB, CockroachDB).

Containerization and Orchestration

: Experience with Docker and Kubernetes.

Version Control

: Proficiency in Git and other version control systems.

Job Type: Full-time

Pay: ₹25,000.00 - ₹50,000.00 per month

Work Location: In person

Speak with the employer

+91 8979354538