Senior AI/ML Developer (Morning Shift)

We are looking for a AI/ML Engineer who is passionate about Artificial Intelligence and eager to work on real-world AI systems including Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, and Time-Series models.

This role is ideal for someone with strong fundamentals in ML and Python who wants to grow into a production AI engineer.

You will work under senior engineers to build, test, and deploy AI models in real-world applications.

Key Responsibilities

Machine Learning Development

• Assist in building and training ML/DL models
• Perform data preprocessing and feature engineering
• Train and evaluate models using Python libraries
• Run experiments and document results

Computer Vision (Basic to Intermediate)

• Work with image datasets (classification, detection, segmentation)
• Assist in implementing:
• YOLO models
• CNN-based classifiers
• Image embedding models
• Use OpenCV for image processing

NLP & Generative AI (Foundational Level)

• Work with transformer models (BERT, GPT, etc.)
• Build basic:
• Text classification
• Summarization
• Chatbot pipelines
• Assist in implementing:
• RAG systems
• Embedding-based search
• Prompt engineering experiments

Time Series & Predictive Modeling

• Build simple forecasting models
• Work with:
• ARIMA
• Prophet
• LSTM (basic understanding)
• Analyze trends and detect anomalies

Deployment & MLOps (Basic Level)

• Build simple APIs using FastAPI or Flask
• Assist in Dockerizing ML models
• Understand basic cloud deployment concepts
• Learn about model monitoring and logging

Required Skills (Must Have)Technical

• Strong Python programming
• Good understanding of:
• Machine Learning fundamentals
• Supervised vs Unsupervised learning
• Overfitting/Underfitting
• Model evaluation metrics
• Experience with:
• PyTorch or TensorFlow (at least one)
• Scikit-learn
• Pandas, NumPy
• Basic understanding of Deep Learning concepts
• Familiarity with Git

Computer Vision

• Understanding of CNNs
• Worked on at least one image-based project

NLP

• Basic understanding of transformers
• Experience using HuggingFace (preferred)

Soft Skills

• Strong problem-solving mindset
• Willingness to learn
• Ability to read documentation and research papers
• Good communication skills

Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, or related field

Experience:

• 2 to 3 years

What Candidate Should Demonstrate

• GitHub with ML/DL projects
• Kaggle participation (optional but good)
• At least 2–3 real ML projects:
• Image classification
• NLP project
• Predictive modeling project

Bonus Points (Nice to Have)

These are NOT mandatory but will strongly increase selection chances:

• Experience with:
• YOLO (v5/v8)
• Vision Transformers (ViT, DINOv2)
• CLIP embeddings
• Worked on:
• RAG pipelines
• Vector databases (FAISS, Pinecone)
• Fine-tuned an LLM (LoRA / QLoRA)
• Built and deployed a model using FastAPI
• Used Docker
• Experience with Azure / AWS
• Experience handling large datasets
• Knowledge of SQL
• Basic understanding of distributed training
• Open-source contributions
• Strong math background (linear algebra, probability)

Job Type: Full-time

Application Question(s):

• Do you have experience with time-series forecasting models like ARIMA, Prophet, or LSTM?
• Please share your current package.
• Please share your expected package.
• How soon can you join?
• Do you have at least 2–3 years of experience working with Machine Learning models using Python libraries (e.g., PyTorch, TensorFlow, Scikit-learn)?
• Have you worked on at least one image-based project involving Convolutional Neural Networks (CNNs) or image classification?
• Are you familiar with transformer models (e.g., BERT, GPT) and have experience using libraries like HuggingFace for NLP tasks?
• Have you built and deployed an ML model using FastAPI or Flask, including Dockerizing the model?

Work Location: In person