



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

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Job Reference ID:BT/F21/IND
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About
Blend-ed, the brainchild of a team of educationalists and technologists who believe in science-backed learning, is an innovative and technology-rich platform that steps early into the futuristic blended learning system, envisioning a fundamental change in the prevailing conventional teaching and learning cultures. Working with us will be your contribution towards rewriting the history of education and to building the future of learning.
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Work Model : Hybrid
Experience : Preferably 3+ years in a similar role.
Joining Date : Immediate
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- Knowledge of back-end languages (e.g. Python/ NodeJS etc.).
- Familiarity with databases (e.g. PostgreSQL, MySQL, MongoDB), web servers (e.g. Apache, Nginx)
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- Experience with Python web frameworks, specifically Django.
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At Blend-ed, we are committed to create a diverse work environment with a range of opportunities for professional and personal development of all our employees. We make learning easier, more efficient, more user-friendly and far more accessible, for all sorts of people, all across the world. As a member of team Blend-ed, you will work on most innovative projects that will revolutionise the learning ecosystem and make a real difference in millions of people’s learning experience.
Work Culture: With a task-driven office culture, we believe that optimal productivity is rooted in each individual's pace and strength, rather than rigid timelines. We follow a flexible work culture along with mutual understanding and support.
Growth at a personal level: Each member of our team gets the best nourishment in terms of opportunities, mental and moral support and a stage for their existing and enhancing skills, ensuring your personal growth alongside the company.
Creativity and Innovation: We root for creativity and innovation at work and this is a fixed formula to keep things interesting. You are welcome to lay your craziest ideas on the table or board for us to have conversations and coffee over.
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- Expertise in full stack tools Angular, SpringBoot, Node JS
- Expertise on RDBMS and no SQL databases like Oracle, MS SQL, MySQL, Mongo DB
- Understanding of microservices architecture
- Good understanding of Agile practices and DevOps tools like Jenkins/Azure etc.
- Zeal to drive solutions and results with a constant focus on business priorities and delivering business value.
- Ability to learn new tools and technologies quickly and extend the knowledge with other team members.
- Basic understanding of AI/ML and R / Python
- Good written and verbal communication.

- Experience with relational SQL & NoSQL databases including MySQL & MongoDB.
- Familiar with the basic principles of distributed computing and data modeling.
- Experience with distributed data pipeline frameworks like Celery, Apache Airflow, etc.
- Experience with NLP and NER models is a bonus.
- Experience building reusable code and libraries for future use.
- Experience building REST APIs.
Preference for candidates working in tech product companies
Location- Kasturinagar,Bangalore
Experience- Freshers or 1 yr to 3 yrs
Salary - upto 18 k+ incentives

