QA Lead Engineer

Company background:

Myfi is a dynamic and innovative wealthtech company committed to empower people to take control of their financial outcomes by providing access to intelligent and unbiased financial advice.

MyFi is an AI powered financial assistant that serves to break down the complexities around financial planning so that users can make better decisions. Through a conversational chatbot experience, MyFi makes the start of your financial journey seamless.

We are passionate about pushing the boundaries of technology and delivering exceptional solutions to our users. Our goal is to provide better wealth outcomes for every individual through a conversational AI powered Co-pilot.

Our Culture:

· We’re a fast paced startup looking impact lives through technology and innovation

·Ownership and self-motivation is key, we don’t believe in micro managing

·We’re outcome and impact driven, something isn’t done until a user benefits from it

Our Values: Go With You GUT

· Grow At the Edge: We are driven by personal growth. We get out of our comfort zones and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.

·Understanding through Listening and Speaking the Truth: We value transparency. We communicate with radical candour, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.

· I Win for Team Win: We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

Key responsibilities:

· Work closely with the design and product teams to help craft conversational experiences for our users

· Ability to work independently to deliver features that the team design

· You need to own outcomes without someone watching over you

· Understand the data we have and identify how we could leverage it to create more personalised experiences for our users

· Fine tune models with data specific to our use case

· Use different RAG approaches to augment data that the LLM already ha

Ability to be a leader and independent contributor (we’re a startup so be ready to do whatever it takes)

· Setup new workflow, systems and tool from the ground up (you will have support, but we’re building things from scratch)

Requirements:

·      Masters/Bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field

·      10+ years of overall work experience

·      1-2 Experience working with LLMs and Generative AI

·      Hands-on experience in various LLM fine-tuning techniques (e.g. LORA), LLM inference frameworks (e.g. vLLM), advanced RAG pipelines

·      5-6 years of machine learning/deep learning experience within frameworks such as TensorFlow and/or PyTorch

·      Experience using RAG base approaches

·      Understanding of financial concepts and investing would be a big plus but not required

·      Publications at reputable machine learning conference or journal

• 5-8yrs hands-on experience on Java, Springboot, Microservices
• Min 1yr experience in L3 support
• Should have good problem-solving skills, communication, and interpersonal skills
• Should have an understanding of the L3 support process
• Should be flexible to work in shifts on a rotation basis
• Should be able to take responsibility for the stream of work assigned
• Manage the high availability and stability of the given application
• Should be able to perform proactive maintenance activities, engage in automation activities, and perform root cause analysis and remediation
• Should be able to write and maintain scripts to monitor system functionality and performance
• Should be able to work on change requests and enhancements
• Should have basic DevOps understanding
• Should know deployment process

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.