Artificial Intelligence Engineer

0 years

20 - 50 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company:

Careernet Technologies

Website:

Visit Website

Business Type:

Consulting Firm

Company Type:

Service

Business Model:

Others

Funding Stage:

Pre-seed

Salary Range:

₹ 20-50 Lacs PAWe are looking for an innovative

AI/ML Engineer

with strong expertise in Machine Learning, Deep Learning, and Generative AI. This role involves building, deploying, and optimizing scalable AI systems using modern ML frameworks and cloud environments.If you love solving complex problems, building intelligent systems, and deploying production-grade AI models — this one’s for you!🛠️

Key Responsibilities

  • Design, develop, and deploy end-to-end ML pipelines from data ingestion to production deployment.
  • Build, fine-tune, and optimize Machine Learning and Deep Learning models using TensorFlow, PyTorch, and Scikit-learn.
  • Work on Generative AI (LLMs), RAG systems, LangChain, Agentic AI workflows, and model orchestration.
  • Develop scalable solutions using Azure AI, AWS SageMaker, or GCP AI.
  • Implement MLOps, including CI/CD, model versioning, monitoring, and automated deployment.
  • Collaborate with data engineering, product, and business teams to translate requirements into ML solutions.
  • Ensure compliance with responsible & ethical AI frameworks.
  • Create high-quality documentation, experiment logs, and reproducible pipelines.

🧠 Required Skills & Expertise

Core Technical Skills

  • Strong proficiency in Python & SQL
  • Expertise in Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
  • Experience with data manipulation, feature engineering, and ML model development

Generative AI & LLM Skills

  • Experience with LangChain, LLaMA, RAG pipelines, Vector Databases (FAISS/Pinecone)
  • Familiarity with OpenAI, HuggingFace, Mistral, or similar models
  • Hands-on experience with prompt engineering & agentic AI

MLOps

  • CI/CD using GitHub Actions / GitLab / Jenkins
  • Docker, Kubernetes, MLflow, DVC or similar
  • Deploying ML models on cloud platforms

Cloud Platforms

  • Azure AI / AWS SageMaker / Google Cloud AI

Other Skills

  • Strong analytical mindset
  • Problem-solving attitude
  • Ability to work in fast-paced environments
  • Excellent communication and documentation skills

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