Machine Learning Engineer

at Phenom People

Machine Learning Engineer

Phenom People

Company

Home

Machine Learning Engineer

at Phenom People

Posted by Srivatsav Chilukoori

3 - 6 yrs

₹10L - ₹18L / yr

Hyderabad

Skills

Machine Learning (ML)

Data Science

Natural Language Processing (NLP)

Python

Deep Learning

Text mining

Amazon Web Services (AWS)

Keras

TensorFlow

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

Company Description

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

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

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Subodh Popalwar

Software Engineer, Memorres

For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.

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About Phenom People

Founded :

2010

Type

Size

Stage :

Profitable

About

Talent Relationship Marketing helps candidates find the right jobs and makes recruiters more productive. Stop recruiting. Start Relationship Marketing.

Connect with the team

Srivatsav Chilukoori

Ranjith Badri

Mohan Krishna

Jangyaseni Pradhan

Ramya Sree

Company social profiles

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Rational ClearCase

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FarmGuide is a data driven tech startup aiming towards digitizing the periodic processes in place and bringing information symmetry in agriculture supply chain through transparent, dynamic & interactive software solutions. We, at FarmGuide (https://angel.co/farmguide) help Government in relevant and efficient policy making by ensuring seamless flow of information between stakeholders.Job Description :We are looking for individuals who want to help us design cutting edge scalable products to meet our rapidly growing business. We are building out the data science team and looking to hire across levels.- Solving complex problems in the agri-tech sector, which are long-standing open problems at the national level.- Applying computer vision techniques to satellite imagery to deduce artefacts of interest.- Applying various machine learning techniques to digitize existing physical corpus of knowledge in the sector.Key Responsibilities :- Develop computer vision algorithms for production use on satellite and aerial imagery- Implement models and data pipelines to analyse terabytes of data.- Deploy built models in production environment.- Develop tools to assess algorithm accuracy- Implement algorithms at scale in the commercial cloudSkills Required :- B.Tech/ M.Tech in CS or other related fields such as EE or MCA from IIT/NIT/BITS but not compulsory. - Demonstrable interest in Machine Learning and Computer Vision, such as coursework, open-source contribution, etc.- Experience with digital image processing techniques - Familiarity/Experience with geospatial, planetary, or astronomical datasets is valuable- Experience in writing algorithms to manipulate geospatial data- Hands-on knowledge of GDAL or open-source GIS tools is a plus- Familiarity with cloud systems (AWS/Google Cloud) and cloud infrastructure is a plus- Experience with high performance or large scale computing infrastructure might be helpful- Coding ability in R or Python. - Self-directed team player who thrives in a continually changing environmentWhat is on offer :- High impact role in a young start up with colleagues from IITs and other Tier 1 colleges- Chance to work on the cutting edge of ML (yes, we do train Neural Nets on GPUs) - Lots of freedom in terms of the work you do and how you do it - Flexible timings - Best start-up salary in industry with additional tax benefits