Job Description: AI / Machine Learning Engineer: Graduate (Freshers) and Experienced Engineers

Location: Remote / Hybrid (as applicable)

Employment Type: Full-Time

Open to: Fresh graduates through to experienced AI/ML engineers

Why This Role

AI is changing how every business works, and we want people who want to build it, not just read about it. As an AI / Machine Learning Engineer at Baseel, you will design, build, and ship real AI products LLM-powered applications, Generative AI workflows, and production ML systems — used by clients in more than 100 countries.

Whether you are a fresh graduate with strong Python skills and a few projects you are proud of, or an experienced engineer who has already put models into production, there is a clear place for you on this team. You will work on live projects from the start, learn from the people around you, and see your work used by real customers.

Choose Your Track

Graduate Track (Freshers)

- For final-year students and recent graduates (0–1 year of experience).
- Work on live AI projects from your first weeks — not dummy tasks.
- Learn alongside experienced engineers through pairing, code reviews, and regular feedback.
- Build hands-on skills in LLMs, RAG, prompt engineering, APIs, and deployment.
- Grow into a full AI/ML Engineer role as your skills and impact develop.

Experienced Track

- For engineers with professional experience in AI/ML or backend/software engineering.
- Own the design and delivery of AI features and services end to end.
- Shape architecture decisions for LLM, RAG, and MLOps solutions on enterprise projects.
- Mentor graduate engineers and help set engineering standards.
- Work directly with clients and product teams on high-impact problems.

What You Will Do

- Design, develop, and deploy Machine Learning and Generative AI models for production use.
- Build and optimise AI-powered backend services and REST APIs using Django and FastAPI.
- Integrate Large Language Models (LLMs), NLP models, and other AI services into web applications and enterprise workflows.
- Build data preprocessing, feature engineering, training, validation, and evaluation pipelines.




- Apply prompt engineering and AI orchestration to build Generative AI applications.
- Test, benchmark, and improve model accuracy, inference latency, and scalability.
- Work with Product Managers, UI/UX Designers, Data Engineers, and Developers to turn business needs into working AI solutions.
- Document architecture, model designs, experiments, and APIs so others can build on your work.

Freshers will start with well-scoped tasks within these areas and take on more ownership over time; experienced engineers will lead them.

What We Are Looking For

Everyone

- Bachelor’s degree in Computer Science, Software Engineering, AI, Data Science, or a related field (final-year students are welcome to apply).
- Strong programming skills in Python.
- Curiosity about AI and a habit of learning new tools quickly.
- Good problem-solving, debugging, and communication skills.
- Familiarity with Git and basic software development practices.

Freshers — we would love to see

- Academic, personal, hackathon, or internship projects using ML or LLMs (a GitHub or portfolio link helps).
- Basic understanding of ML concepts and a framework such as scikit-learn, TensorFlow, or PyTorch.
- Some exposure to Pandas, NumPy, SQL, or building a easy API.
- No prior industry experience required — show us what you have built.

Experienced engineers — you should bring

- Professional experience in AI/ML engineering or a related software engineering role.
- Hands-on experience with TensorFlow or PyTorch and with backend development in Django and FastAPI.
- Practical knowledge of:
- Natural Language Processing (NLP)
- Large Language Models (LLMs) and prompt engineering
- AI model integration using APIs and SDKs

- Experience with SQL databases, Pandas, and NumPy.




- Understanding of REST APIs, microservices, and backend architecture.

Bonus Points (Any Track)

- Retrieval-Augmented Generation (RAG) architectures.
- Vector databases such as Pinecone, Weaviate, Milvus, or ChromaDB.
- Orchestration frameworks such as LangChain or LlamaIndex.
- Deployment with Docker and Kubernetes.
- Cloud platforms: AWS, Azure, or Google Cloud.
- CI/CD and MLOps practices.
- AI security, responsible AI principles, and model monitoring.

Don’t tick every box? Apply anyway. We value potential and willingness to learn as much as a perfect match.

Tech You Will Work With

- Programming: Python, SQL
- AI / ML: TensorFlow, PyTorch, scikit-learn, Generative AI, LLMs, Prompt Engineering, NLP
- Backend: Django, FastAPI, REST APIs
- Data: Pandas, NumPy
- DevOps & Tools: Git, Docker, Kubernetes
- Cloud: AWS, Microsoft Azure, Google Cloud Platform

What We Offer

- Real work on cutting-edge AI and Generative AI — your code ships to production.
- Exposure to enterprise-scale AI products for clients across Europe, the UK, Asia, and MENA.
- Mentorship, code reviews, and continuous learning at every level.
- A clear path to grow from graduate to engineer to technical lead.
- Flexible remote / hybrid working.
- Competitive pay and performance-based incentives.

Compensation

- Graduate Track (Freshers): 12 months Internship stipend of INR 10,000 per month and then permanent job opportunity
- Experienced Track: INR 4 Lakh – 12 Lakh per annum, based on skills and experience

How to Apply

Send your CV, and if you have them, links to your GitHub, portfolio, or any AI projects you have built. Tell us which track you are applying for — Graduate or Experienced.

About Baseel

Baseel Partners LLP (Baseel.com) is a company initially focused on cybersecurity and data protection. Today, Baseel Group has expanded significantly, providing a comprehensive suite of IT services and products to clients in over 100 countries. A distinguished global entity, Baseel Partners LLP has established a strong network of partners across Europe, the UK, Asia, and MENA countries.

📌 AI / Machine Learning Engineer: Freshers and Experienced Home based (Pune)
🏢 Baseel Partners
📍 Pune