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| Job Position | Company | Posted | Location | Salary | Tags |
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Zamp | Bangalore, India | $105k - $106k | |||
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AI/ML Engineer
Bangalore OR Gurgaon / Bangalore / Gurgaon
Engineering – AI/ML /
Full time /
On-site
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About Zamp:
Zamp is a financial technology company with a bold vision of reimagining the future of finance.
Finance teams globally face manual, repetitive, and cumbersome tasks. We at Zamp want to empower them with time, calm, money, and joy, tackling harder problems. We foresee four key themes shaping the finance org of the future:
Increased Connectivity: Fragmentation across banks, partners, and platforms complicates finance. We envision a seamlessly connected future, abstracting away complexity for real-time data access.
AI Automation: Manual tasks like data transformation and reconciliation will be automated by intelligent AI agents, allowing teams to focus on strategic endeavours.
Democratised Intelligence: AI-driven insights will be universally accessible, empowering better and faster decision-making, leading to exponential growth for companies.
Evolving Financial Infrastructure: Regulatory-compliant advancements like real-time payments and blockchain technology will revolutionise financial exchange, driving efficiency and adaptation.
Zamp, founded in 2022 by our experienced leader - Amit Jain, an IIT Delhi and Stanford graduate, and industry veteran with over 20 years of experience, previously held significant roles including Managing Director at Sequoia Capital and Head of Asia Pacific at Uber.
Our seed funding round raised ~$22Mn from Sequoia Capital, Dara Khosrowshahi (CEO, Uber), Tony Xu (CEO, Doordash), Marcelo Claure (ex-CEO, Softbank International), and other prominent angel investors.
At Zamp, we are excited about what the future holds. We are a team of dreamers, builders, product thinkers building for the new world!
About the Role:
As an AI/ML Engineer at Zamp, you will be a catalyst for transformation, harnessing generative AI to conquer complex business challenges. Dive into cutting-edge research, crafting groundbreaking applications that revolutionize our operations. Decode proprietary data, fine-tuning models for pivotal uses like code review and customer support.
Your innovations will inspire change, turning challenges into triumphs, and shaping the future of Zamp. Join us and be the force that drives extraordinary success!
Key Responsibilities:
- Lead development of cutting-edge GenAI solutions, exploring advanced AI models such as GPT-4, and proprietary generative models
- Architect robust AI systems, integrating with enterprise IT infrastructure using cloud services and data engineering tools like Apache Kafka, Spark, and Airflow
- Optimize data pipelines for efficiency, scalability, and reliability, leveraging parallel processing, distributed computing, and cloud-based technologies as necessary
- Conduct exploratory data analysis (EDA) and feature engineering to extract relevant insights and patterns from multilingual audio and text data
- Evaluate and benchmark AI/ML models using appropriate metrics and evaluation methodologies, iterating on model design and hyperparameters to improve performance
- Document research findings, experimental results, and software development processes to contribute to project documentation and knowledge sharing within the team
- Stay updated with the latest advancements in AI/ML, signal processing, NLP, and data engineering through self-study, literature review, and participation in conferences and workshops
Qualifications & Skill Set Required:
- Experience with LLMs (GPT-4, Llama-2 etc.)
- Experience training and deploying deep learning models in production
- Good working knowledge with tools such as MLFlow, Airflow, databricks, Python, Langchain, Pytorch, Tensorflow
- We look for strong ML foundations both in traditional ML methods such as logistic regression, gradient boosted decision trees as well as neural networks
- Experience with deep learning frameworks such as tensorflow, pytorch, and other ML tools such as scikit learn, XGBoost etc
- Experience with tensorflow/pytorch and experience in using GPU for speeding up machine learning training in tensorflow/pytorch
- Familiarity with tools like Ray for efficient and parallel training and inference
- Familiarity with MLOps, model deployment, CI/CD and monitoring
- Expertise with Graph & Vector databases
- Proficiency in cloud architectures, data engineering, and security practices in AI
Our Culture and Benefits:
If you're passionate about building from the ground up, you've found your ideal spot! We're establishing a company where ideas reign supreme, communication flows openly, builders are empowered, and meritocracy is key—all while maintaining utmost transparency.
Here's your chance to join our early team, collaborating directly with the founding team and given free rein to unleash your creativity. We're all about hard work, hustle, and delivering unparalleled products and experiences to our customers. As we embark on a mission to revolutionize financial operations for companies, we're seeking stellar individuals like yourself to hop on board our rocket ship!
Here are some of the exciting perks we offer:
- Competitive salaries and stock options with substantial potential upside
- Working alongside top-notch talent—seriously, we don't joke about that
- A diverse and inclusive workspace
- Comprehensive medical insurance covering employees, spouses, and children
- A culture that celebrates every victory, big or small
- Opportunities for continuous learning and skill development
- Good food, games, and a comfortable office environment that feels like home
Embark on an extraordinary journey by joining our team and collaborating with the finest minds, crafted at the forefront of prominent companies like Amazon, Uber, Facebook (Meta), McKinsey, Bain, Stripe, Microsoft, Razorpay, Browserstack, Zomato, Lenskart, and many more!
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Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.