Senior Machine Learning Engineer
Senior Machine Learning Engineer
Quantiphi- Posted 3 hours ago
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Job Description
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Machine Learning Engineer with 4–6 years of experience, specializing in time-series forecasting. He/she will lead data preparation and profiling efforts to design, build, and deploy predictive models for demand planning and forecasting. Experience in the retail domain is a strong plus. This role requires readiness to travel to our client office in Bengaluru twice a week.
Must Have Skills
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Machine Learning Engineer with 4–6 years of experience, specializing in time-series forecasting. He/she will lead data preparation and profiling efforts to design, build, and deploy predictive models for demand planning and forecasting. Experience in the retail domain is a strong plus. This role requires readiness to travel to our client office in Bengaluru twice a week.
Must Have Skills
- 4–6 years of hands-on experience in Machine Learning / Data Science.
- Strong expertise in time-series forecasting and handling sequential data.
- Build, evaluate, and tune statistical and ML-based forecasting models (ARIMA, LightGBM, Prophet, LSTMs/Transformers).
- Solid experience in data preparation, data quality assessment, and exploratory data analysis (EDA) on raw, large-scale datasets.
- Advanced proficiency in Python and SQL.
- Proven ability to work independently as a solo team member with minimal supervision, taking end-to-end ownership of tasks from data preparation to model development and deployment.
- Ability to speak to customer confidently to present his/her own work not only in pure technical terms but also from a functional or business perspective.
- Experience with AWS Cloud Platform and services
- Sagemaker ***
- Hands-on experience with ML frameworks (pandas, scikit-learn, PyTorch/TensorFlow, statsmodels, Prophet) and MLOps tools (Docker, Airflow, MLflow).
- Prior experience in Retail / E-Commerce (e.g., demand planning, SKU-level forecasting, stockout prediction).
- Computer Vision Experience: Exposure to basic computer vision tasks, image preprocessing, and classification using tools like OpenCV, PIL, or CNN frameworks (e.g., handling visual data, planograms, or shelf-monitoring images in retail).
- Collaborate with multiple Business stakeholders and understand their business requirements
- Good verbal and written communication in English
More Info
Key Skills
LSTMs
scikit-learn
LightGBM
MLflow
time-series forecasting
Sagemaker
AWS Cloud Platform
data quality assessment
MLOps tools
statsmodels
About Company
Skills:
Tensorflow, Pytorch, Docker, Python, LangChain, pgvector, Qdrant, MLflow, Pinecone, LlamaIndex
Skills:
Svm, XGBoost, Python, Decision Trees, Clustering, MLops, Restful Apis, Agent reasoning patterns, Prompt engineering, Feature selection, scikit-learn, RAG systems, Data preprocessing, Conversation analytics, AI system observability frameworks, LLM conversational AI systems, Feature engineering, semantic search, AWS Sagemaker, LangChain, CrewAI, Vector databases, LightGBM, Ensemble models, Regression, Statistical Modeling, Agent frameworks, Context optimization
Skills:
Machine Learning, Deep Learning, Tensorflow, Pytorch, Opencv, Python, Computer Vision, GenAI, Prompting, LLMs, GenAI systems, OCR engines, PIL, Fine-tuning
Skills:
data engineering , Numpy, Pandas, Pytorch, Python, Testing and release, scikit-learn, Development processes, ELT data pipelines, ML research methodologies, Build processes, Production ML systems, Source control management, ML pipelines
Skills:
error analysis , Deduplication, Pytorch, Python, Cloud Storage, Statistical Analysis, data augmentation, model training, model-based labeling, distributed compute, Active Learning, VLMs, Hugging Face LLMs, ablation studies, dataset curation, benchmark evaluation, workflow orchestration, weak supervision, Batch Processing, inference evaluation, synthetic-data generation, Production Monitoring, data-quality measurement, diffusion models, multimodal models