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JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
 

Company Description

Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
 

Job Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms and models
• Research and develop innovative, scalable and dynamic solutions to hard problems
• Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
• Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
• Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
• Be a valued contributor in shaping the future of our products and services
• You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
• Be part of a fast pace, fun-focused, agile team

Job Requirement:

• 4+ years of industry experience
• Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
• Strong mathematics, statistics, and data analytics
• Solid coding and engineering skills preferably in Machine Learning (not mandatory)
• Proficient in Java, Python, and Scala
• Industry experience building and productionizing end-to-end systems
• Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
• Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.

Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.

• Capable of building accurate machine learning models is the main goal of a machine learning engineer
• Linear Algebra, Applied Statistics and Probability
• Building Data Models
• Strong knowledge of NLP
• Good understanding of multithreaded and object-oriented software development
• Mathematics, Mathematics and Mathematics
• Collaborate with Data Engineers to prepare data models required for machine learning models
• Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
• Build large-scale software systems and numerical computation topics
• Use predictive analytics and data mining to solve complex problems and drive business decisions
• Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
• Tackle situations where problem is unknown and the Solution is unknown
• Solve analytical problems, and effectively communicate methodologies and results to the customers
• Adept at translating business needs into technical requirements and translating data into actionable insights
• Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.

Benefits

• Competitive salary for a startup
• Gain experience rapidly
• Work directly with the executive team
• Fast-paced work environment

About Phenom People

At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.

 Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.

 We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.

 Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.

 We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.

 Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.

Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/

https://www.phenom.com/">Phenom | Talent Experience Management

Job Description-

Responsibilities:

* Work on real-world computer vision problems

* Write robust industry-grade algorithms

* Leverage OpenCV, Python and deep learning frameworks to train models.

* Use Deep Learning technologies such as Keras, Tensorflow, PyTorch etc.

* Develop integrations with various in-house or external microservices.

* Must have experience in deployment practices (Kubernetes, Docker, containerization, etc.) and model compression practices

* Research latest technologies and develop proof of concepts (POCs).

* Build and train state-of-the-art deep learning models to solve Computer Vision related problems, including, but not limited to:

* Segmentation

* Object Detection

* Classification

* Objects Tracking

* Visual Style Transfer

* Generative Adversarial Networks

* Work alongside other researchers and engineers to develop and deploy solutions for challenging real-world problems in the area of Computer Vision

* Develop and plan Computer Vision research projects, in the terms of scope of work including formal definition of research objectives and outcomes

* Provide specialized technical / scientific research to support the organization on different projects for existing and new technologies

Skills:

* Object Detection

* Computer Science

* Image Processing

* Computer Vision

* Deep Learning

* Artificial Intelligence (AI)

* Pattern Recognition

* Machine Learning

* Data Science

* Generative Adversarial Networks (GANs)

* Flask

* SQL

Skills

About Thriving Springs:

Have you ever wondered, what does it take to succeed at the workplace ? Is it only technical skills or do behavior skills also play a role ?

Research suggests that 85% of job success depends on soft and behavioral skills and this is where Thriving Springs plays a critical role by helping organizations, teams and individuals build these skills and unlock their highest potential and achieve an all round success. It does this by assessing current levels of soft and behavioral skills and then helping in growing them through Thriving Springs’s innovative smart platform that combines the power of emotional intelligence (EI) with artificial intelligence (AI) and machine learning (ML).

Why join Thriving Springs?

While there are many companies, however, companies that are built with a clear purpose and mission to take humanity forward are rare. Thriving Springs - An Edtech startup is one of the pioneers in driving human productivity, fulfillment and success forward through empowering millions of working professionals globally with soft and behavioral skills and assisting them in the flow of work. Thriving Springs is leading a worldwide and purpose-led movement to drive success at the workplace and we invite you to join this fun and adventurous journey with us.

Culture, Rewards and Benefits:

A great culture is created when everybody in the company has great opportunities, creates meaningful impact and contributes to the good of society - Larry Page - Founder - Google

The founders of Thriving Springs come from Google and have built a Google-like culture within Thriving Springs where every team member experiences freedom and autonomy to pursue their ideas that have a deep impact and will shape the future of workplace learning. The culture at Thriving Springs is deeply rooted in emotional intelligence where there is an emphasis on collaboration, empathy and winning together as one team.

The candidate will receive an attractive total compensation package including a competitive fixed salary, performance bonuses and ESOPs translating into non-incremental gains as the company grows into a potential unicorn. In addition, every member will receive medical and health insurance.

Location: Hyderabad, India

Qualifications:

BTech/BE in computer science, electrical, electronics or related fields 5+ years of full stack design and development experience High emotional intelligence, empathy and collaborative approach. Experience in Angular Javascript frameworks, CSS, HTML5, NodeJS, ExpressJS, MongoDB to handle full stack web development. Experience with developing rich dynamic front end applications using Angular and CSS frameworks like BulmaCSS, Angular Material, Bootstrap, etc. Knowledge of GraphQL would be an added advantage. Knowledge of Cloud services like AWS, Heroku, Azure is preferable. Should be a quick learner to keep up with the pace of the ever changing world of technology as the candidate will get excellent exposure to the latest and trending Cloud based Saas technologies and best practices while working with varied customers based across the globe.

Responsibilities:

Develop web applications covering end to end software development life cycle right from writing UI code using Angular to backend API code using NodeJS and managing databases like MongoDB, MySQL, etc. Involved in full stack code management from Git check-ins to running automated builds and deployments using DevOps practices to deploy to public cloud services like AWS, Azure, Heroku, etc. Handling full-stack web development workflow right from front end to backend to CI/CD workflows. Design and Develop the tech architecture and work closely with CEO and CTO of the company Drive and guide with work of other engineers on the team

This is a leadership role and candidate is expected to wear multiple technical hats including customer interactions and investor discussions

• 3+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd and streaming databases like druid
• Strong industry expertise with containerization technologies including kubernetes, docker-compose
• 2+ years of industry in experience in developing scalable data ingestion processes and ETLs
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• Experience with scripting languages. Python experience highly desirable.
• 2+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Demonstrated expertise of building cloud native applications
• Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
• Experience in API development using Swagger
• Strong expertise with containerization technologies including kubernetes, docker-compose
• Experience with cloud platform services such as AWS, Azure or GCP.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

• Design and Implement Large scale data processing pipelines using Kafka, Fluentd and Druid
• Assist in dev ops operations
• Develop data ingestion processes and ETLs
• Design and Implement APIs
• Assist in dev ops operations
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

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

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases