JOB CODE: AIT019 / JOB LOCATION : GURGAON / NO OF VACANCIES: 5
5+ Years of Work Experience
Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines are met
Develop and Analyze the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Verifying data quality, and/or ensuring it via data cleaning
Finding available datasets online that could be used for training
Defining validation strategies
Defining the preprocessing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyperparameters
Analyzing the errors of the model and designing strategies to overcome them
Deploying models to production
Full Stack development for Production Systems
Proficiency with a deep learning framework such as TensorFlow or Keras
Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
Expertise in visualizing and manipulating big datasets
Proficiency with OpenCV
Familiarity with Linux
Ability to select hardware to run an ML model with the required latency
JOB CODE: AIT006 / JOB LOCATION : GURGAON / NO OF VACANCIES: 1
Building Products and other Intellectual Property that can be used across solutions for multiple clients
Develop new ideas and apply AI/ML to specific product challenges across Enterprise Operations
Study and innovate in artificial intelligence/machine learning and its application in diverse domains
Design competitive AI/ML services and user experience for next generation devices and create prototypes for demonstration
Development of end to end AI based product.
Deep understanding of computer architecture with knowledge of Computer Vision
Proven and demonstrated implementation skills (putting theory into practice).
Must have 4+ years of expert-level understanding of Artificial Intelligence technologies including some or all of knowledge representation & reasoning (KRR), natural language processing (NLP), speech recognition, computer vision, unsupervised machine learning, and/or reinforcement learning
Leverage the power of new patterns and architectures (Serverless, Microservices, Event Sourcing, etc) and technologies (Kafka, Elixir, TensorFlow, Node.js, Docker, Go) to build cloud-native style solutions for the enterprises and industry verticals.
Experience leading an agile team.
Experience designing and leading engineering systems and DevOps, i.e., managing the process of building software.
Experience with more than one programming language (Java, Kotlin, Scala, Clojure, JavaScript, Go, Elixir, Erlang, Python, or Rust preferred)
Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture
Experience with the Serverless framework and serverless architecture.
Experience with microservices architectures and constituent technologies (hapijs, gokit, Spring Cloud)
Experience with containerization and container platforms. (e.g. Docker, Kubernetes, Docker EE, OpenShift, Mesosphere)
Experience with Event Driven Architectures and constituent technologies (e.g. Kafka, Kinesis) and patterns (Event Sourcing, CQRS, etc.)
Functional programming experience (e.g., in Kotlin, Scala, Clojure, Erlang, Elixir)
Experience with high performance networking (Quic, network layer optimization) or realtime transaction protocols/methods (HTTP2, Server Sent Events, MQTT, WebSockets)
Experience with distributed NoSQL databases (Cassandra, Riak, ScyllaDB, Aerospike, etc.)
English
Chinese (Simplified)
German
Japanese
Korean