Machine Learning Engineer

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 SummaryWe’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 ([hidden] - [hidden] - [hidden]

Phenom | Talent Experience Management