Jr. AI Engineer
- Matellio
- 2 - 5 years
- Jaipur
- 27 days ago
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Job Description
Key Responsibilities
- Design, develop, and deploy AI solutions that span both traditional ML models and GenAI-based systems.
- Build machine learning pipelines using algorithms like linear/logistic regression, decision trees, SVMs, random forests, XGBoost, clustering (K-means, DBSCAN), and time series forecasting.
- Analyze datasets to derive meaningful insights and build predictive models to solve business problems.
- Work on GenAI applications using LLMs, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
- Develop and integrate LLM-based features using frameworks like LangChain, Hugging Face Transformers, or OpenAI API.
- Collaborate with data, product, and engineering teams to define and implement AI-driven functionalities.
- Apply statistical modeling and inference techniques for feature selection, model evaluation, and data exploration.
- Optimize performance of ML and GenAI models through hyperparameter tuning, cross-validation, and error analysis.
- Design and maintain data pipelines and ML workflows using tools like Airflow, DVC, or MLflow.
- Deploy models into production with appropriate MLOps practices, ensuring monitoring, retraining, and version control.
- Research and evaluate advancements in both traditional ML and LLM-based AI.
Skills & Experience
- 2-5 years of experience in AI/ML using Python.
- Proficient in machine learning algorithms (classification, regression, clustering, dimensionality reduction, ensemble methods).
- Hands-on experience with GenAI/LLM applications (prompt design, RAG, fine-tuning, etc.).
- Familiarity with data preprocessing, feature engineering, and working with structured and unstructured data.
- Proficient in Python ML libraries: Scikit-learn, XGBoost, LightGBM, Pandas, NumPy.
- Experience with deep learning frameworks: PyTorch or TensorFlow.
- Familiarity with vector databases (e.g., FAISS, Pinecone) and LLM orchestration tools (LangChain, Hugging Face).
- Experience in model evaluation techniques, including AUC-ROC, precision-recall, RMSE, etc.
- Familiarity with cloud AI services (AWS SageMaker, GCP AI Platform, or Azure ML).
- Solid understanding of MLOps tools: MLflow, Docker, Git, CI/CD pipelines.
- Strong analytical, communication, and collaboration skills.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: MatellioLocation(s): Jaipur
Keyskills: Artificial Intelligence Machine Learning Tensorflow Natural Language Processing Scikit-Learn Pytorch Nltk Huggingface pinecone FAISS Aiml Spacy Python
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Matellio
We serve global clientele coming from diverse industry verticals, striving to help them capitalize on the digital revolution by bringing their products to global marketplaces. Our skills and expertise have been recognized by global leaders, including Clutch.co, App Futura, DesignRush, Scrum Alliance...
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