Senior Artificial Intelligence Engineer

Skillventory • Python • SQL • MATLAB • 19 days ago
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Salary
≈ $39k – $99k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

First seen by Alion on Sep 9, 2026.

Overview
Company
Impact
Profile match

Skillventory

Minimal infrastructure, the handful of clients and a courageous soul. It is how Skillventory comes into existence. The aim was to replace the old patterned recruitment structure with the unique approach, unbeatable process and proprietary technology, to source and screen the candidates.
skillventory.com • Pune • Mumbai • Ahmedabad • Indore • Bengaluru
Tech stack of Skillventory

Required Skills :

- Experience in AI/ML engineering, with at least 5+ years delivering Generative AI models into production.

- Bachelors/Masters/PhD in Computer Science, Mathematics, Statistics, or related field from a top-tier institution (IITs/NITs/BITs etc.).

- Strong applied programming skills in Python, SQL, R and experience with data science libraries such as NumPy, Pandas, MatLab, scikit-learn.

- Proven experience with deep learning frameworks : PyTorch, TensorFlow, Keras, MXNet, Caffe.

- Familiarity with NLP and ML libraries : Transformers, SparkNLP, Gensim, SpaCy, NLTK, Hugging Face.

- Experience building and fine-tuning LLMs and integrating them with orchestration frameworks (LangChain, LlamaIndex).

- Expertise with vector databases (Pinecone, FAISS, Weaviate, Milvus) and knowledge of embedding retrieval patterns.

- Cloud-native ML experience (AWS Sagemaker, GCP Vertex AI, Azure ML) and containerization (Docker, Kubernetes).

- Applied knowledge of classical ML algorithms (SVM, Decision Trees, Random Forests, regression, clustering) alongside modern DL/GenAI approaches.

- Strong knowledge of CI/CD for ML, model observability (MLflow, Weights & Biases, LangSmith), and governance frameworks.

- Excellent problem-solving skills, communication, and ability to lead technical teams.

Skills

Machine Learning, Deep Learning, Python, PyTorch, Artificial Intelligence, Generative AI, LLM, Numpy, Pandas, VectorDB

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