Artificial Intelligence Machine Learning Engineer

Requirement understanding and elicitation, analysis, data/workflows, contribution to product

projects and Proof of concept (POC)

 Contribute to preparing design documents and effort estimations.

 Develop AI/ML Models using best-in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Work with the manager through the entire analytical and machine learning model life cycle:

⮚ Define the problem statement

⮚ Build and clean datasets

⮚ Exploratory data analysis

⮚ Feature engineering

⮚ Apply ML algorithms and assess the performance

⮚ Codify for deployment

⮚ Test and troubleshoot the code

⮚ Communicate analysis to stakeholders

Technical Skills

⮚ Proven experience in usage of Python and SQL

⮚ Excellent in programming and statistics

⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium, Postman, Airflow, PySpark

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

• Bachelor's degree in computer science/electrical engineering or equivalent practical experience
• 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
• Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
• 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
• Experience with PyTorch or TensorFlow or other ML Frameworks.
• Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

• Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
• Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
• Own the ML pipeline from data collection, through the prototype development to production.
• Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

Requirements:

• 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
• Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
• CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
• Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
• End to end deployment of deep learning models.

Hi We are Looking foe Data Science AI Professional role for our KPHB, Hyderabad Branch Requirements:

• Min 6 months to 1 Year experience in Data Science AI

• Need to have proven Experience with Good GitHub profile and projects

• Need to good with Data Science & AI Concepts

• Need to be good with Python, ML, Stats, Deep Learning, NLP, OpenCV etc

• Good Communication and presentation skills

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

Required Technical Skill Set:

• Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

• Experience using the full open source programming tools and utilities
• Experience in working in end-to-end data science project implementation.
• 2+ years of experience with development and deployment of Machine Learning applications
• 2+ years of experience with NLP approaches in a production setting
• Experience in building models using bagging and boosting algorithms
• Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
• Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
• Strong python skills following software engineering best practices
• Experience in using code versioning tools like GIT, bit bucket
• Experience in working in Agile projects
• Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
• Experience managing big data with efficient query program good to have
• Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
• Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience with Health care sector is preferred
• MS/M.Tech or PhD is a plus