Phenom People
https://phenompeople.comAbout
Talent Relationship Marketing helps candidates find the right jobs and makes recruiters more productive. Stop recruiting. Start Relationship Marketing.
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Jobs at Phenom People
Phenom, an Applied AI company, is hiring an Associate Technical Program Manager into our Big Bets team - the group driving company-level strategic initiatives across engineering and product.
This is a foundational role built for a specific profile: an engineer who went to business school. If you have a B.Tech in Computer Science and an MBA from a premium institute, and you want to run large-scale engineering programs rather than pure strategy or consulting work, this is a rare fit. You will work directly with engineering leadership, with visibility to SVP and co-founder level from day one.
WHAT YOU WILL DO
- Structure and drive execution of cross-functional technical initiatives across multiple engineering teams
- Translate ambiguous business problems into structured technical roadmaps and execution plans
- Own program-level metrics, timelines, dependencies, and risk tracking
- Influence Product, Engineering, and Business stakeholders without formal authority
- Build the frameworks, dashboards, and processes that bring scale and predictability to fast-moving programs
WHO WE ARE LOOKING FOR
- B.Tech in Computer Science or a closely related engineering discipline
- MBA from a premium institute (IIM / ISB / equivalent tier-1 programme)
- 0-2 years of experience; recent graduates and early-career professionals are welcome
- Strong structured problem-solving ability and comfort operating in ambiguity
- Technical fluency across APIs, cloud platforms, and SDLC - you do not need to code daily, but you must be able to hold your own in engineering discussions
- Demonstrated experience driving something end-to-end with multiple stakeholders, whether a project, internship, venture, or initiative
- Excellent written and verbal communication
WHY PHENOM
- Applied AI company with genuine technical depth
- Direct exposure to company-level strategic bets from your first role
- Fast-track into Technical Program Management, one of the highest-leverage career tracks in technology
- Mentorship from senior engineering and TPM leadership
- Based in Hyderabad, onsite
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Machine Learning (ML)
Python
Deep LearningJOB 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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