We are hiring a Data Scientist / AI Engineer (1–3 years of experience) with strong expertise in Machine Learning, Deep Learning, and Generative AI. This role is focused on solving real-world industrial and business problems using modern AI techniques, ranging from predictive analytics and time-series modeling to next-generation GenAI systems. You will work on end-to-end AI solutions—from data preparation and model development to deployment and monitoring.

Company: FACLON LABS PRIVATE LIMITED

Role: AI Engineer

Location: Mumbai (On-site)

Experience:

1- 3 Years

Key Skills:

Machine Learning
Deep Learning
Generative AI
Python
PyTorch
TensorFlow
LangChain
LlamaIndex
CrewAI
AutoGen
RAG (Retrieval-Augmented Generation)
Prompt Engineering
Embedding Models
Vector Databases
LLM Evaluation

Qualification:

1–3 years of experience in Data Science, Machine Learning, AI Engineering, or related roles
Good understanding of Machine Learning algorithms, statistics, and model evaluation techniques
Basic understanding of Docker and deployment concepts

Role Focus:

Design, develop, and deploy machine learning and AI solutions for industrial and business use cases
Build and optimize machine learning models for applications such as: Time-series forecasting, Predictive analytics, Anomaly detection, Classification and regression problems
Develop deep learning models using frameworks such as PyTorch or TensorFlow
Build and integrate Generative AI and LLM-based solutions
Perform data preprocessing, feature engineering, model training, validation, and performance optimization
Deploy and maintain AI solutions using Docker and cloud platforms (AWS, GCP, or Azure)
Collaborate with Product and Engineering teams to translate business requirements into scalable AI solutions
Stay updated with advancements in Machine Learning, Deep Learning, LLMs, and emerging AI technologies

Nice to have:

Experience with MLOps tools such as MLflow
Exposure to cloud platforms such as AWS, GCP, or Azure
Experience fine-tuning and deploying open-source LLMs
Knowledge of Industrial IoT, Manufacturing, Energy, or Process Industry use cases
Exposure to Agentic AI and multi-agent systems

Other:

Full-Time
On-site
Collaborative team environment
Self-driven, owner-mindset
Agile environment
Emerging AI tools and technologies

AI Engineer

Skills Required

Description