Quantiphi
Location
Mumbai | India
Job description
Company Profile:
Quantiphi is an award-winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for the Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. We believe in “Solving What Matters” Company Highlights: Quantiphi has seen 2.5x growth YoY since its inception in 2013 Winner of the “Machine Learning Partner of the Year” award from Google for two consecutive years - 2017 & 2018 Winner of the “Social Impact Partner of the Year” award from Google in 2019 Winner of the “Data & Analytics -Specialisation Partner of the Year” and “US Education - Public Sector Partner of the Year” award for 2020 Designation : Senior Machine Learning Engineer Experience in Years : 3 to 7 years Location: Bangalore/Mumbai (Hybrid) Roles and Responsibilities: Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis. Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc. Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification. NLP: Vector Space modeling in NLP, LSTMS, Sequence modeling, Attention modeling, BERT, Transformers. Using the above mentioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis Time Series Analysis using ARIMA, SARIMA, LSTMs, etc. Knowledge of statistical modelling and popular machine learning models. Feature engineering, Feature selection/Feature importance, Dimensionality Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them. Critical eye for the quality of data and strong desire to get it right. A pleasantly forceful personality and charismatic communication style. Skills- Required: Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD. Experience in GCP based ML solutions and services like Contact Center AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc. Ability to multitask and work on multiple engagements related to different domains. Be able to pick up newer technologies in a short span of time Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions. Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction. Follow Agile standards and methodologies in all phases of the project. Ensure excellence in delivery to customers Self-driven individuals with a passion for research and development and the zest for solving what matters. What’s in it for you? The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain. The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hoursJob tags
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