Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities:Ā
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- Demonstrate tech expertise āŗ Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.Ā
- Execute large scale projects āŗ Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
- Collaborate across teams āŗ Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
- Coach engineers āŗ Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
- Tech leadership āŗ Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.
What Youāll Do
- Build a scalable, reliable, operable and performant data analytics platform for Uberās engineers, data scientists, products and operations teams.
- Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uberās planet scale of data.Ā
- Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.
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What Youāll Need
- 7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
- Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
- Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
- Data Engineering:Ā Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc.Ā Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
- Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
- A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on othersā candid feedback for continuous improvement.
- Business acumen: You understand requirements beyond the written word. Whether youāre working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

About Uber
About
Uber Technologies, Inc. functions as a technology platform for the transportation of both people and things. This firm offers multi-modal delivery services for restaurant meals, transportation services for individuals, and connection services for freight carriers and shippers. Eats, Rides, Freight, ATG, Other Bets, and Other Technology Programs are the five components that make it function well. Rides Drivers provide customers with rides in a variety of vehicles including auto-rickshaws, automobiles, minibusses, motorbikes, and taxis. Users may connect with Rides Drivers via Rides Goods.
Customers can search for and locate local restaurants, place an order for a meal, and choose to either pick it up or have it delivered via the Eats category. The Freight division is responsible for connecting carriers and shippers on the platform by utilizing its brand recognition, one-of-a-kind technology, and expertise in disrupting industries. The company was founded in 2009 by Travis Kalanick, Oscar Salazar Gaitan, and Garrett Camp, and it has its headquarters in San Francisco, California.
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šÆ Ideal Candidate Profile:
This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.
š Must-Have Requirements:
Experience & Education Combinations:
Candidates must meet one of the following criteria:
- Doctorate (PhD) + 2 years of related work experience
- Master's Degree + 5 years of related work experience
- Bachelor's Degree + 7 years of related work experience
Technical Skills:
- Minimum 5 years of hands-on experience in all of the following:
- Python
- Deep Learning (DL)
- Machine Learning (ML)
- Algorithm Development
- Image Processing
- 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.
Industry & Institute:
- Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
- Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
- Preference: Candidates from engineering product companies are strongly preferred.
ā¹ļø Additional Role Details:
- Interview Process: 3 technical rounds followed by 1 HR round.
- Work Model: Hybrid (requiring 3 days per week in the office).
Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.
š Required Skills and Competencies:
š» Programming & ML Prototyping:
- Strong Proficiency: Python, Data Structures, and Algorithms.
- Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).
š¤ Machine Learning Frameworks:
- Core Concepts: Solid understanding of:
- Supervised/Unsupervised Learning
- Regularization
- Feature Engineering
- Model Selection
- Cross-Validation
- Ensemble Methods: Experience with models like XGBoost and LightGBM.
š§ Deep Learning Techniques:
- Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
- Architectures: Knowledge of:
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory networks (LSTMs)
- Transformers
- Attention Mechanisms
- Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.
š¬ LLMs & RAG (Retrieval-Augmented Generation):
- Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
- Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
- Advanced Techniques: Proficiency in:
- Prompt Engineering
- Function/Tool Calling
- JSON Schema Outputs
š ļø Data & Tools:
- Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
- Tools: Experience with Git/GitHub, Jupyter, and basic Docker.
š Minimum Qualifications (Experience & Education Combinations):
Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:
- Doctorate (Academic) Degree + 2 years of related work experience.
- Master's Level Degree + 5 years of related work experience.
- Bachelor's Level Degree + 7 years of related work experience.
ā Preferred Traits and Mindset:
- Academic Foundation: Solid academic background with strong applied ML/DL exposure.
- Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
- Communication: Clear communicator who can explain ML/LLM trade-offs simply.
- Ownership: Strong problem-solving and ownership mindset.
What youāll do
ā Innovate and come up with new acquisition models and strategies
ā Build and execute our strategy for direct channels for sourcing sellers and
properties.
ā Build our Channel Partner program, strategies, and commercials
ā Manage Channel Partner Relationships
ā Pitch to sellers, negotiate prices, and close deals
What weāre looking for
ā 1+ years of experience in Sales/Growth/Product/Ops/Strategy/Consulting
roles
ā Exceptional track record in past jobs/academics
ā Track record of being a hustler and getting things done
ā Good to have
ā Experience in early to mid-stage startups
ā Interest in investing/managing personal wealth
ā Part of university/semi-professional/professional sports teams
Location: Remote
Type: Full-Time Trainee
Experience: Freshers / Entry-Level
Who We Are
Weāre a lean, fast-moving startup on a mission to build cool, scalable web solutionsāand weāre looking for a Trainee PHP Developer whoās hungry to learn and ready to dive into real code from day one.
At our place, you wonāt be stuck doing repetitive tasks or fetching coffee (unless you want to). Youāll be working side-by-side with experienced devs, building real products, making mistakes, fixing them, and growing fast.
What You'll Be Doing
- Learn the ropes of PHP development, including working with MySQL, APIs, and web services
- Build, test, and improve small features and internal tools
- Collaborate with developers, designers, and product folks
- Experiment, ask questions, break things, and help fix them
- Get hands-on with code reviews, Git workflows, and modern dev tools
- Learn frameworks like Laravel or CodeIgniter (weāll help!)
What We're Looking For
- A solid foundation in PHP (even basic is fineāyouāll grow here)
- Some exposure to HTML, CSS, and JavaScript
- A learning mindsetāwe care more about curiosity than experience
- Willingness to try, fail, ask, and try again
- Bonus: Youāve played around with a PHP project or tried building something on your own
What Youāll Get
- Real learning, not just tasks
- Mentorship from passionate devs
- Flexible hours, casual vibes, and startup energy
- Access to paid learning resources (courses, tools, etc.)
- A chance to convert into a full-time junior developer
Eligibility
- Fresh graduates or final-year students (CS/IT or related fields preferred)
- Self-taught developers are welcome too
About NxtWaveĀ
NxtWave is revolutionizing the 21st-century job market by transforming youth into highly skilled tech professionals irrespective of their educational background with our CCBP 4.0 programs.Ā
By offering vernacular content and interactive learning, NxtWave is breaking the entry barrier for learning tech skills. Learning in mother tongue helps learners achieve higher comprehension, deeper attention, longer retention and greater outcomes.
NxtWave was founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur).
Ā
NxtWave now has paid subscribers from 250+ districts across India who have spent 200 million minutes on its learning platform so far. In the last 5 months, CCBP 4.0 learners have been hired by 1000 companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more.
Know more about NxtWave at (https://www.ccbp.in/">https://www.ccbp.in/)
Ā
Job Summary
As a Technical Content Lead at NxtWave, You will lead and collaborate with the team to develop, review and manage technical content Ā in a variety of formats as needed (documents, videos, tutorials, etc). You contribute to the continuous improvement of our technical content process by developing, prioritizing, and maintaining a content strategy and plan
ResponsibilitiesĀ
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Lead and Collaborate with the team to develop high quality technical content by setting goals and preparing phased rollout plans to thousands of CCBP users
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Collaborate with different stakeholders to understand user needs, prioritize content milestones based on user feedback and product roadmap
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Responsible for creating, developing, reviewing and managing technical content Ā in a variety of formats as needed (documents, videos, tutorials, etc)
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Ensure all content is up to standards by providing and receiving constructive feedback, make sure follow standards and guidelines
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Contribute to the continuous improvement of our technical content process by developing, prioritizing, and maintaining a content strategy and plan
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Lead technical discussions within the team and be the go-to person for the team for guidance and troubleshooting
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Making effective use of resources during the various stages of the work by ensuring that business objectives are met and deliverables achieved to agreed time, and quality
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Aligning to Agile principles, and adhering to Sprint methodology
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Coordinate with other departments to ensure the right message is being communicated in formats that match audience's technical expertise
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Gather and analyze feedback to identify gaps and enhance the content requirements based on priority
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Qualifications and Skills
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2 + years of experience in developing the industry-leading content in front-end(HTML/CSS/JS and React) or backend technologies (Python, SQL, NodeJS)
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Strong and self motivated individual and should be able to independently drive decisions with excellent leadership qualities
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Strong command of the English language: an eye for detail, excellent grammar, and proofreading skills
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Ability to work in a fast-paced environment with a team and deliver high-quality work on tight timelines
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Excellent attention to detail and the ability to prioritize and work on multiple requirements simultaneously
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Proven ability in setting goals, and preparing phased rollout plans to thousands of CCBP users by discussing with multiple stakeholders and come up with an optimal approach with existing set of users
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Excellent written and verbal communication skills with a proven ability to communicate complex topics in an understandable way
Qualities we'd love to find in youĀ
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The attitude to always strive for the best outcomes and an enthusiasm to deliver high quality content
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Strong collaboration abilities and a flexible & friendly approach to working with teams
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Strong determination with a constant eye on solutions
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Creative ideas with problem solving mind-set
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Be open to receiving objective criticism and improving upon it
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Eagerness to learn and zeal to grow
Overview
Location :Ā Hyderabad
Experience :Ā Min 2 years
Job Type :Ā Full time
Working Days :Ā 5 - Day Week
Compensation :Ā 9 - 12 LPA
Experience:- 1 to 3 years (Real Estate)
Salary:-No bar for good Candidates
Responsibilities:
⢠Familiarizing yourself with all products and services offered by our company.
Cold calling,Inbound & outbounns sales
Site visit,Client meetings & Close the deal
⢠Procuring new clients through direct contact, word-of-mouth, and collaboration with the marketing department.
⢠Attending networking activities to research and connect with prospective clients.
⢠Maintaining meaningful relationships with existing clients to ensure that they are retained.
⢠Suggesting upgrades or added products and services that may be of interest to clients.
⢠Crafting business proposals and contracts to draw in more revenue from clients.
⢠Negotiating with clients to secure the most attractive prices.
⢠Equipping staff with the technical and social skills needed to enhance sales.
Required skills and experience:
⢠Expert strategist who uses research of competitors, market conditions, customer needs, and organizational core competencies to claim company success.
⢠Accomplished understanding of financing activities, including budgeting, investing, and cost-cutting through careful analysis.
⢠Strong organization and time management skills and careful attention to detail to guarantee that business ventures are successful and development is absolute
Education Qualification:-
⢠B.Tech in any Stream
⢠MBA/PGDM (Sales & Marketing)
Job Location- Noida
What you will do:
- Owning Fintech Fraud Risk products across account opening and account and activity monitoring
- Defining OKRs for success such as % approvals, bp in losses, good customer friction, precision/ recall etc.
- Thinking out of the box and identifying opportunities where we can build world class Fraud Risk solutions either in-house or via partnerships
- Working with Engineering to create risk capabilities, analytics and decisioning logic to identify, analyze and prevent suspicious activities, including but not limited to: Identity Fraud, Account Takeover/ Abuse Fraud, Transactions Risk, Unauthorized Chargeback Risk etc.
- Driving Proof of Concepts and Demos to illustrate the company's capabilities
- Working with Sales, Business Operations and Engineering to meet internal and external stakeholder needs
- Researching emerging issues impacting Fintech players and ideating on solving their digital risks through innovation
- Validating supply partnerships to be used in solutioning, where needed
- Collaborating with external partners and clients and standardizing integration strategy for the company's input/ output and client feedback loops
Ā
Desired Candidate Profile
What you need to have:- 5-7 years of experience in Product Management, preferably in Financial Fraud Risk
- Career concentration in Fintechs, Payments or Risk Service Providers
- Experience in developing requirements for Risk score-based rules engines, Classification and Regression models etc.
- Bachelorās degree or higher, preferably in Maths, Statistics or an area of Technology
- Strong quantitative abilities, distinctive problem-solving and excellent analytics skills
- Strong organizational, communication, presentation and project management skills
- Experience with analytical/ statistical tools like SQL, SAS, Altair Knowledge Studio, R or Python preferable
- Experience in experimentation and A/B testing a plus
- Strong sense of product design and customer empathyĀ Ā Ā








