Artificial Intelligence Engineer

Protos Corporate Solutions India; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Flexible working hours

Remote work options

Job summary

Protos Corporate Solutions India seeks an AI Engineer at junior/associate level to design, develop and deploy machine learning models. You will work with top AI tools and collaborate with data science and engineering teams to build scalable, production-ready AI solutions.

The role emphasizes hands-on model development, data pipelines, and integration of LLMs via APIs or fine-tuning, with on-site work in Bengaluru. A strong foundation in ML, Python, and cloud platforms is required.

Qualifications

• Bachelors or Masters degree in CS, AI, Data Science, or a related field.
• 1–3 years hands-on ML/DL experience with production-ready models.
• Proficient in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).

Responsibilities

• Design, develop, test, and deploy ML models for classification, regression, recommendation, or NLP tasks.
• Work with LangChain, Hugging Face, OpenAI, LlamaIndex and other AI tools.
• Integrate LLMs into applications via APIs or fine-tuning.
• Build data pipelines for training and inference, ensuring performance and robustness.
• Collaborate with software engineers, PMs, and data engineers to turn AI models into products.
• Stay updated with AI/ML research and bring new ideas to development.
• Optimize model performance and scale AI solutions for production.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

LangChain

OpenAI

HuggingFace Transformers

LLMs

Prompt Engineering

Fine-tuning

Docker

Git

CI/CD

Cloud (AWS/GCP/Azure)

Education

Bachelor's or Master's in Computer Science / AI / Data Science

Tools

Docker

Git

CI/CD

AWS/GCP/Azure

Job description

Job Description: AI Engineer (Junior / Associate Level)

Experience

13 Years

Location

On-Site

Job Type

Full-Time

About the Role

We are looking for a passionate and hands-on AI Developer with around 3 years of experience in building and deploying machine learning models and working with the latest AI tools and frameworks. You will be working closely with our data science and engineering teams to develop smart, scalable, and production-ready AI solutions.

Key Responsibilities

• Design, develop, test, and deploy machine learning models for classification, regression, recommendation, or NLP tasks.
• Work with state-of-the-art AI tools and libraries such as LangChain, Hugging Face, OpenAI, LlamaIndex, etc.
• Integrate Large Language Models (LLMs) into applications via APIs or custom fine-tuning.
• Build data pipelines for training and inference, ensuring model performance and robustness.
• Collaborate with software developers, product managers, and data engineers to turn AI models into usable products.
• Stay updated with the latest research and innovations in the AI/ML space and bring new ideas into development.
• Optimize model performance and scale AI solutions for production.

Required Skills & Experience

• Bachelor's or Masters degree in Computer Science, AI, Data Science, or a related field.
• 1-3 years of hands-on experience in machine learning and deep learning.
• Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
• Good understanding of LLMs and experience working with platforms like OpenAI, Claude, Cohere, or Hugging Face Transformers.
• Experience in prompt engineering, fine-tuning, or using frameworks like LangChain, LlamaIndex, or Haystack.
• Exposure to cloud platforms (AWS, GCP, Azure) and tools like Docker, Git, CI/CD workflows.
• Strong analytical and problem-solving skills.
• Understanding of data preprocessing, feature engineering, and model evaluation techniques.

Good to Have

• Experience building AI chatbots or virtual assistants.
• Knowledge of Vector databases (e.g., Chroma, Pinecone, Weaviate).
• Familiarity with MLOps tools like MLflow, Kubeflow, Vertex AI, etc.
• Experience with RESTful APIs or microservices architecture.
• Participation in Kaggle competitions or open-source AI projects.

What We Offer

• Opportunity to work on real-world AI applications and products.
• A collaborative, learning-first environment.
• Exposure to enterprise-grade AI deployments and tools.
• Flexible working hours and remote work options.
• Competitive compensation and career growth path.