5 Latest Machine Learning Jobs from Top Companies in India

AI and ML Jobs


Photo by Simon Abrams on UnsplashAnalytics India Jobs It provides a new platform to the Indian Data Science community by bringing to the fore the latest job vacancies across India.

Here are some Machine Learning related jobs available in Pune, Bangalore and Hyderabad.

AI Architect @ ZS, Pune

ZSOur software development teams design, implement, test and support high-quality products that hundreds of businesses and thousands of end users use to manage their critical decisions and sales operations.

Requirements:

  • Knowledge and experience with major AI platforms such as AWS Sagemaker and IBM Watson.
  • Chatbots using Microsoft Azure, Google Api.Ai, Facebook Wit.Ai, and Microsoft Bot Framework
  • Serve AI/ML models on an enterprise-grade technology platform through microservices
  • Tensorflow, Caffe, CNTK, commercial technologies/platforms, etc.
  • Experience working in a DevOps environment, using industry standard tools (GIT, JIRA,
  • Able to explain technical concepts in non-technical language
  • Solid hands-on experience with Artificial Intelligence platforms with understanding of the end-to-end lifecycle of AI projects.
  • Very solid and proven hands-on experience with UI technologies (AngularJS, ReactJS, StencilJS etc.), Java/J2EE, Kubernetes, Spring framework, Microservices, REST APIs, Kafka etc.
  • Knowledge of data governance and management
  • Understand the Hadoop Data Science Workbench solution
  • Experience with one of the integrated AI products such as Microsoft Azure ML, AWS ML etc. is preferred
  • Demonstrated experience with either ML pipeline solutions such as DataiKU, Anaconda, KNIME, and automated ML solutions such as H2O.ai, DataRobot, Firefly.ai.

Apply here

Machine Learning and Analytics Expert @ Careernet Consulting, Bangalore

The candidate will be working for one of our clients in the banking sector.

Requirements:

  • Bachelor's/Master's degree in Computer Science Engineering or Master's degree in Statistics/Mathematics
  • Experience analyzing moderately complex problems and translating them into analytical approaches.
  • Experience with statistical learning: diagnostic analytics, simulation and predictive modeling, time series, dynamic/causal models, statistical learning, guided decision making
  • Experience in analyzing data using big data analytics and advanced data mining techniques.
  • R, Python
  • Experience with SQL and relational databases, data warehousing
  • Hadoop (Hive, Pig, Map Reduce, HQL)
  • Experience with statistical programming languages ​​– SAS
  • SAS EG, Enterprise Miner, Text Miner, KXEN, OPL/CPLEX, SPSS, R Studio, Revolution R
  • Experience with Data Warehouse Platforms – Teradata / GreenPlum, HANA

Apply here

Deep Learning and Computer Vision Expert @ Pratibha Analytics, Hyderabad

The candidate will be part of a team of highly talented and dedicated professionals focused on creating value for clients through automation, data and decision sciences. The team's primary role will be to solve client problems by applying cutting edge Advanced Analytics, Robotic Process Automation, Machine Learning and other AI frameworks, tools and techniques to help gain powerful new insights to improve revenue & profitability and reduce costs by solving various KPIs and value drivers based on the client's industry and functional domain area.

Requirements

  • MSc in Statistics, PhD in Statistics, Mathematics, Computer Science Engineering, MCA, MSc in Computer Science, or other business and engineering graduate degree with experience implementing data science and advanced analytics.
  • Strong knowledge and skills in statistics, mathematics and computer science with 2-8 years of experience.
  • Deep skills in computer vision solutions using CNN, RNN and other ensemble algorithms and methods.
  • Experience applying deep skills in the above areas including advanced analytics, machine learning and deep learning to design and deliver leading analytics/AI solutions for clients.
  • We have in-depth understanding of Python, Tensorflow, Keras, Pytorch, Caffe, R, as well as all major market-leading advanced analytics, machine learning and deep learning techniques, frameworks, methodologies and tools.

Apply here

Principal Machine Learning Engineer, Leben Care Technologies, Hyderabad

Founded in late 2016, Leben Care provides automated medical image analysis algorithms that improve diagnostic access and quality across the life sciences sector.

The company's mission is to develop artificial intelligence products and solutions that improve diagnostic access and quality across the life sciences spectrum.

The Lead ML Engineer will be part of the world-class AI RnD team powering the Netra.AI platform enabling next-generation medical imaging diagnostics for ophthalmology.

Requirements

  • Master's or PhD – Computer Science, Artificial Intelligence.
  • Hands-on experience implementing deep learning architectures using the latest machine learning techniques and frameworks.
  • As a machine learning researcher, he has published papers in scientific journals.
  • Design and build new machine learning models to solve unique healthcare problems and improve patient outcomes.
  • Test and evaluate algorithms on large medical datasets to prove their robustness
  • Delivering high-quality, production-ready code
  • Solid Python and C++ experience and Linux user.
  • A strong mathematical background.
  • Experience with vast computer vision libraries.
  • A strong understanding and hands-on experience with cutting edge medical image analysis algorithms is an advantage.

Apply here

Data Scientist @ Prescience Decision Solutions, Bangalore

Prescience is a fast-growing, advanced analytics company focused on helping enterprises become more PRESCIENT by gaining meaningful business insights and developing optimized solutions through the careful analysis of data.

Requirements:

  • Machine learning (ML) algorithms such as regression, decision trees, logistic regression, k-means, and Markov decision processes
  • Applications of neural networks, e.g. deep learning for text and image classification
  • Natural Language Processing (NLP)
  • Search and its use for preprocessing and integration with NLP and machine learning
  • Python or R expertise
  • Experience with NoSQL and SQL

Apply here



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