Artificial Intelligence Engineer
SourcingXPressIndia4 days ago
Full-timeEngineering, Information Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full 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 PA
Job Description
We 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
Core Technical Skills
Website: Visit Website
Business Type: Consulting Firm
Company Type: Service
Business Model: Others
Funding Stage: Pre-seed
Salary Range: ₹ 20-50 Lacs PA
Job Description
We 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.
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
- 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
- CI/CD using GitHub Actions / GitLab / Jenkins
- Docker, Kubernetes, MLflow, DVC or similar
- Deploying ML models on cloud platforms
- Azure AI / AWS SageMaker / Google Cloud AI
- Strong analytical mindset
- Problem-solving attitude
- Ability to work in fast-paced environments
- Excellent communication and documentation skills
Key Skills
Ranked by relevanceReady to apply?
Join SourcingXPress and take your career to the next level!
Application takes less than 5 minutes