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Pplability INC Mumbai, India● Bachelor's or Master's degree in computer science, Information Technology, or a · related field · ● 8+ years of experience in data engineering or a related field · ● Experience building end-to-end systems as a Platform Engineer, ML DevOps · Engineer, or equivalent · ● Experienc ...
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Machine Learning Engineer
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Machine Learning Engineer
Found in: Talent IN 2A C2 - 1 day ago
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Machine Learning Engineer
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Machine Learning Engineer
Found in: Talent IN 2A C2 - 3 days ago
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Machine Learning Engineer
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Senior Machine Learning Engineer
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Artificial Intelligence/Machine Learning Engineer
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Quality Assurance Engineer
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Sr Engineering Manager
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Maritime Training Centre Faculty
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Manager of Artificial Intelligence
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AI Infrastructure Lead
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Staff/Principal Software Engineer(AI Agent)
Found in: Talent IN 2A C2 - 3 days ago
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Full Stack Engineer
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Global Head of Engineering
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Lead Software Architect
Found in: Talent IN 2A C2 - 3 days ago
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Lead MLOps Engineer and AI Solution Architect
Found in: Talent IN 2A C2 - 4 days ago
DoublU Mumbai, IndiaHello everyone, · Greetings for the day · We are looking out for MLOps Engineers and AI Solution Architects for Mumbai, Pune and Chennai locations. · 1. Lead MLOPs Engineer. · Work experience: 5-8 years · Location: Mumbai, Pune and Chennai. · Job Description · As an Technical Lea ...
Senior Machine Learning Engineer - Mumbai, India - Quantiphi
Description
Role: Senior Machine Learning Engineer
Experience Level: 4-7 Years
Location: Mumbai/Bangalore
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 hours