Technical Lead - Machine Learning

at IDfy

DP
Posted by Stuti Srivastava
icon
Mumbai
icon
8 - 12 yrs
icon
Best in industry
icon
Full time
Skills
Machine Learning (ML)
Production
Computer Vision
Natural Language Processing (NLP)
OCR

Lead Machine Learning Engineer

About IDfy

IDfy is ranked amongst the World's Top 100 Regulatory Technology companies for the last two years. IDfy's AI-powered technology solutions help real people unlock real opportunities. We create the confidence required for people and businesses to engage with each other in the digital world. If you have used any major payment wallets, digitally opened a bank account , have used a self-drive car, have played a real-money online game, or hosted people through AirBnB, it's quite likely that your identity has been verified through IDfy at some point.

About the team

  • The machine learning team is a closely knit team responsible for building models and services that support key workflows for IDfy. 
  • Our models are critical for these workflows and as such are expected to perform accurately and with low latency. We use a mix of conventional and hand-crafted deep learning models.
  • The team comes from diverse backgrounds and experience. We respect opinions and believe in honest, open communication.
  • We work directly with business and product teams to craft solutions for our customers. We know that we are, and function as a platform and not a services company.

About the role

In this role you will:

  • Work on all aspects of a production machine learning platform: acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.
  • Work on performance tuning of models
  • From time to time work on support and debugging of these production systems
  • Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.
  • Building workflows for training and production systems
  • Contribute to documentation

While the emphasis will be on researching, building and deploying models into production, you will be expected to contribute to aspects mentioned above. 


About you

  • You are a seasoned machine learning engineer (or data scientist). Our ideal candidate is someone with 8+ years of experience in production machine learning.

Must Haves

  • You should be experienced in framing and solving complex problems with the application of machine learning or deep learning models.
  • Deep expertise in computer vision or NLP with the experience of putting it into production at scale.
  • You have experienced that and understand that modelling is only a small part of building and delivering AI solutions and know what it takes to keep a high-performance system up and running.
  • Managing a large scale production ML system for at least a couple of years
  • Optimization and tuning of models for deployment at scale
  • Monitoring and debugging of production ML systems
  • An enthusiasm and drive to learn, assimilate and disseminate the state of the art research. A lot of what we are building will require innovative approaches using newly researched models and applications.
  • Past experience of mentoring junior colleagues 
  • Knowledge of and experience in ML Ops and tooling for efficient machine learning processes

Good to Have

  • Our stack also includes languages like Go and Elixir. We would love it if you know any of these or take interest in functional programming. 
  • We use Docker and Kubernetes for deploying our services, so an understanding of this would be useful to have.
  • Experience in using any other platform, frameworks, tools.

Other things to keep in mind

  • Our goal is to help a significant part of the world’s population unlock real opportunities. This is an opportunity to make a positive impact here, and we hope you like it as much as we do.

Life At IDfy

People at IDfy care about creating value. We take pride in the strong collaborative culture that we have built, and our love for solving challenging problems. Life at IDfy is not always what you’d expect at a tech start-up that’s growing exponentially every quarter. There’s still time and space for balance.


We host regular talks, events and performances around Life, Art, Sports, and Technology; continuously sparking creative neurons in our people to keep their intellectual juices flowing. There’s never a dull day at IDfy. The office environment is casual and it goes beyond just the dress code. We have no conventional hierarchies and believe in an open-door policy where everyone is approachable.

About IDfy

We’re venture-funded (Series A) by Blume Ventures, NEA, and others, and will soon also acquire the rare distinction of being a profitable start-up! We’re constantly innovating, building, and deploying new products and services that help our clients take smarter HR decisions - speed, commitment, and healthy dollops of fun are what working at IDfy is all about!
Founded
2011
Type
Products & Services
Size
100-1000 employees
Stage
Raised funding
View full company details
Why apply to jobs via Cutshort
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
2101133
Matches delivered
3712187
Network size
15000
Companies hiring

Similar jobs

Data Science - Risk

at Rupifi

Founded 2020  •  Product  •  20-100 employees  •  Raised funding
Data Analytics
Risk Management
Risk analysis
Data Science
Machine Learning (ML)
Python
SQL
Data Visualization
Big Data
Tableau
Data Structures
icon
Bengaluru (Bangalore)
icon
4 - 7 yrs
icon
₹15L - ₹50L / yr

Data Scientist (Risk)/Sr. Data Scientist (Risk)


As a part of the Data science/Analytics team at Rupifi, you will play a significant role in  helping define the business/product vision and deliver it from the ground up by working with  passionate high-performing individuals in a very fast-paced working environment. 


You will work closely with Data Scientists & Analysts, Engineers, Designers, Product  Managers, Ops Managers and Business Leaders, and help the team make informed data  driven decisions and deliver high business impact.


Preferred Skills & Responsibilities: 

  1. Analyze data to better understand potential risks, concerns and outcomes of decisions.
  2. Aggregate data from multiple sources to provide a comprehensive assessment.
  3. Past experience of working with business users to understand and define inputs for risk models.
  4. Ability to design and implement best in class Risk Models in Banking & Fintech domain.
  5. Ability to quickly understand changing market trends and incorporate them into model inputs.
  6. Expertise in statistical analysis and modeling.
  7. Ability to translate complex model outputs into understandable insights for business users.
  8. Collaborate with other team members to effectively analyze and present data.
  9. Conduct research into potential clients and understand the risks of accepting each one.
  10. Monitor internal and external data points that may affect the risk level of a decision.

Tech skills: 

  • Hands-on experience in Python & SQL.
  • Hands-on experience in any visualization tool preferably Tableau
  • Hands-on experience in Machine & Deep Learning area
  • Experience in handling complex data sources
  • Experience in modeling techniques in the fintech/banking domain
  • Experience of working on Big data and distributed computing.

Preferred Qualifications: 

  • A BTech/BE/MSc degree in Math, Engineering, Statistics, Economics, ML, Operations  Research, or similar quantitative field.
  • 3 to 10 years of modeling experience in the fintech/banking domain in fields like collections, underwriting, customer management, etc.
  • Strong analytical skills with good problem solving ability
  • Strong presentation and communication skills
  • Experience in working on advanced machine learning techniques
  • Quantitative and analytical skills with a demonstrated ability to understand new analytical concepts.
Job posted by
Richa Tiwari

Head- Data Science

at Fintech Pioneer | GGN

Agency job
via Unnati
Data Science
Data Scientist
Python
SQL
Machine Learning (ML)
Analytics
Predictive modelling
Amazon Web Services (AWS)
Quality management
icon
NCR (Delhi | Gurgaon | Noida)
icon
8 - 13 yrs
icon
₹60L - ₹70L / yr
Join a leading MCommerce company, set your career on a flight towards success and growth.
 
Our client is one of the oldest fintech companies that is taking banking and financial services to all the customers through their online platform. Having served over 50 million customers in the last 15 years, it is enabling over 7mn banking transactions each month, with a network of nearly 2 lac merchants. Using its vast network of merchant outlets, the platform is reaching the lower and mid-income groups who deal in cash, for them to be able to remit money across the country digitally. It now plans to take its unique digital financial solutions to developing markets across the globe. As pioneers of mobile-based payment services in India, they empower Retailers, Individuals and Businesses to have an online presence and earn or save a little extra through the transactions.
 
As a Head - Data Science, you will be part of the leadership team and will be expected to manage ambiguity & help the Founders & other leaders in building the roadmap forward for the business.
 
You will be expected to adopt an "iron sharpens iron" attitude where you will focus on making everyone and every data-driven process better, blend people leadership/ management skills, use predictive modelling and analytics expertise, cloud computing skills and operational know-how.
 
What you will do:
  • Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
  • Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
  • Conceiving, planning and prioritizing data projects and manage timelines
  • Building analytical systems and predictive models as a part of the agile ecosystem
  • Testing performance of data-driven products participating in sprint-wise feature releases
  • Managing a team of data scientists and data engineers to develop, train and test predictive models
  • Managing collaboration with internal and external stakeholders
  • Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues
 

What you need to have:

  • B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
  • 8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
  • Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
  • Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
  • We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
  • Strategic thinker with agility and endurance
  • Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
  • Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
  • Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
  • Knowledge and demonstrated skill-sets in AWS
Job posted by
Astha Bharadwaj

AI Scientist

at Synapsica Healthcare

Founded 2019  •  Product  •  20-100 employees  •  Raised funding
Computer Vision
Image Processing
Deep Learning
Machine Learning (ML)
icon
Bengaluru (Bangalore)
icon
2 - 5 yrs
icon
₹6L - ₹20L / yr

Introduction

Synapsica is a growth stage HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective, while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don’t have to rely on cryptic 2 liners given to them as diagnosis. Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by YCombinator and other investors from India, US and Japan. We are proud to have GE, AIIMS, and the Spinal Kinetics as our partners.

 

Your Roles and Responsibilities

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.) and traditional Image Processing (OpenCV etc.). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

 

 

Requirements:

  • Strong problem-solving ability
  • Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks). 
  • Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc 
  • Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
  • Experience of GPU/DSP/other Multi-core architecture programming
  • Effective communication with other project members and project stakeholders
  • Detail-oriented, eager to learn, acquire new skills
  • Prior Project Management and Team Leadership experience
  • Ability to plan work and meet deadlines
  • End to end deployment of deep learning models.
Job posted by
Human Resources

Senior Data Scientist

at Acceldata

Founded 2018  •  Product  •  100-500 employees  •  Raised funding
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
icon
Bengaluru (Bangalore)
icon
4 - 8 yrs
icon
Best in industry
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast.
Our Engineering team values productivity, integrity, and pragmatism. 

Job Description-
We are looking for a seasoned ML engineer who is able to understand customer needs along with any technical constraints, and be responsible for conceiving the product idea based on variety and amount of data we have available with us (in the BigData ecosystem), and then can translate them into product features leading to the success of our customers. The ML engineer will also be expected to design the overall functionality of the product, coding ML applications in distributed environments and seeing them through production.

Basic Qualifications:
● Degree in Computer Science, Mathematics, Data Science, Statistics or equivalent proven experience.
● Experience as an ML Engineer or Data scientist, ideally from a data or software engineering background.
● Minimum 4+ years of hands-on experience in developing and deploying(Docker, Kubernetes, etc) machine learning solutions into production environments.
● Excellent programming skills in Python and Scala and hands-on with Spark.
● Proficient with any of the Machine learning or Deep Learning framework like sklearn, spark ML,TensorFlow/Keras, PyTorch
● Strong system design and architecture skills, having individually led a project from design to delivery
● Exposure to container orchestration of production environments, DevOps and CI/CD

Plus:
● Experience with a JVM based language (Java, Scala, Kotlin) is a plus.
● Experience with time series data analysis and models
● Familiarity with cloud environments (GCP, AWS, Azure).
Job posted by
Abhishek N

Deep Learning Engineer

at Nanonets

Founded 2016  •  Products & Services  •  20-100 employees  •  Raised funding
Deep Learning
TensorFlow
Machine Learning (ML)
Python
icon
Remote, Mumbai, Bengaluru (Bangalore)
icon
3 - 10 yrs
icon
$25K - $50K / yr

We are looking for an engineer with ML/DL background.


Ideal candidate should have the following skillset

1) Python
2) Tensorflow
3) Experience building and deploying systems
4) Experience with Theano/Torch/Caffe/Keras all useful
5) Experience Data warehousing/storage/management would be a plus
6) Experience writing production software would be a plus
7) Ideal candidate should have developed their own DL architechtures apart from using open source architechtures.
8) Ideal candidate would have extensive experience with computer vision applications


Candidates would be responsible for building Deep Learning models to solve specific problems. Workflow would look as follows:

1) Define Problem Statement (input -> output)
2) Preprocess Data
3) Build DL model
4) Test on different datasets using Transfer Learning
5) Parameter Tuning
6) Deployment to production


Candidate should have experience working on Deep Learning with an engineering degree from a top tier institute (preferably IIT/BITS or equivalent)

Job posted by
Neil Shroff

AI/ML, NLP, Chatbot Developer

at Lincode Labs India Pvt Ltd

Founded 2017  •  Products & Services  •  20-100 employees  •  Raised funding
Machine Learning (ML)
Natural Language Processing (NLP)
Artificial Intelligence (AI)
chat bot
icon
Bengaluru (Bangalore)
icon
3 - 7 yrs
icon
₹4L - ₹20L / yr
Role Description: The Chatbot Developer will develop software and system architecture while ensuring alignment with enterprise technology standards (e.g., solution patterns, application frameworks).

Responsibilities:

- Develop REST/JSON API’s Design code for high scale/availability/resiliency.

- Develop responsive web apps and integrate APIs using NodeJS.

- Presenting Chat efficiency reports to higher Management

- Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost benefit analysis of the solutions developed.

- Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.

- Using tools to classify/categorize the chat based on intents and coming up with F1 score for Chat Analysis

- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.

- Developing Conversational Flows in the chatbot

- Calculating Chat efficiency reports.

Good to Have:

- Monitors performance and quality control plans to identify performance. 

- Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices. 

- Works with management to prioritize business and information needs.

- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.

- Identifies, analyzes, and interprets trends or patterns in complex data sets.

- Ability to manage multiple assignments.

- Understanding of ChatBot Architecture.

- Experience of Chatbot training
Job posted by
Ritika Nigam

Jr. Data Engineer

at Our client company is into IT & Services (GI1)

Agency job
via Multi Recruit
Python
Machine Learning (ML)
R
icon
Bengaluru (Bangalore)
icon
1 - 3 yrs
icon
₹10L - ₹12L / yr
  • Proficient in R and Python
  • Work experience 1+ years with at least 6 months working with Python
  • Prior experience with building ML models
  • Prior experience with SQL
  • Knowledge of statistical techniques
  • Experience with working on Spatial Data will be an added advantage
Job posted by
Ravish E

Internship- JAVA / Python / AI / ML

at Wise Source

Founded 2014  •  Product  •  20-100 employees  •  Profitable
Artificial Intelligence (AI)
Machine Learning (ML)
Internship
Java
Python
icon
Remote, Guindy
icon
0 - 2 yrs
icon
₹1L - ₹1.5L / yr
Looking out for Internship Candidates . Designation:- Intern/ Trainee Technology : .NET/JAVA/ Python/ AI/ ML Duration : 2-3 Months Job Location :Online Internship Joining :Immediately Job Type :Internship Job Description - MCA/M.Tech/ B.Tech/ BE who need 2-6 months internship project to be done. - Should be available to join us immediately. - Should be flexible to work on any Skills/ Technologies. - Ready to work in long working hours. - Must possess excellent analytical and logical skills. - Internship experience is provided from experts - Internship Certificate will be provided at the end of training. - The requirement is strictly for internship and not a permanent job - Stipend will be provided only based on the performance.
Job posted by
Wise HR

Tech Lead

at Alien Brains

Founded 2017  •  Products & Services  •  20-100 employees  •  Bootstrapped
Java
Python
Javascript
Machine Learning (ML)
Deep Learning
Artificial Intelligence (AI)
Internet of Things (IOT)
icon
Kolkata
icon
2 - 7 yrs
icon
₹5L - ₹8L / yr
A research lab with roots laid in innovation, we are looking for someone who can take reins of our AI based development think tank. Given the work ethics and results, the salary can be re-negotiated in 5 months.
Job posted by
Praveen Baheti

Data engineer - Machine learning

at It is India’s biggest vernacular e-sports gaming platform.

Machine Learning (ML)
Data Structures
Data engineering
Big Data
Neural networks
icon
NCR (Delhi | Gurgaon | Noida)
icon
3 - 7 yrs
icon
₹12L - ₹34L / yr
• Experience with Big Data, Neural network (deep learning), and reinforcement learning • Ability to design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning applications according to requirements • Select appropriate datasets and data representation methods • Run machine learning tests and experiments • Perform statistical analysis and fine-tuning using test results • Extend existing ML libraries and frameworks • Keep abreast of developments in the field • Understanding of data structures, data modeling and software architecture • Deep knowledge of math, probability, statistics and algorithms • Ability to write robust code in Python, Java and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Job posted by
Silky Malik
Did not find a job you were looking for?
icon
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
Get to hear about interesting companies hiring right now
iconFollow Cutshort
Want to apply to this role at IDfy?
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Learn more
Get to hear about interesting companies hiring right now
iconFollow Cutshort