23 Oct
Quantiphi
Kolhapur
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to
reimagine & realize transformational opportunities at the heart of the business. We are
passionate about our customers & obsessed with problem-solving to make products
smarter, customer experiences frictionless, processes autonomous & businesses safer.
We put together a wide array of solutions that help businesses build AI products, find &
retain high-value customers, improve operating efficiency & reduce risk across several
industries including but not limited to Healthcare, Insurance, Media, Retail, Manufacturing, &
Consumer Products & are in partnership with Google Cloud, AWS, NVIDIA, Looker,
Snowflake, SAP & Tensorflow.
For more details visit:
Job Summary
Role : Sr. Technical Lead - ML
Experience : 10 - 18 Years
Location : Bangalore/Mumbai
We are seeking a highly experienced ML Architect/Applied AI Researcher with a
specialization in deep learning and generative models to join our dynamic team. In this
senior role, you will evangelize the latest AI research and guide the strategic architectural
direction of our AI modeling and implementation efforts, including the evaluation and
fine-tuning of large language models (LLMs), and the evolving automation based on
customer needs.
The ideal candidate has a robust understanding of the recent developments in
reinforcement learning with human feedback (RLHF) and can adeptly apply this knowledge
in a practical setting. They will be a self-motivated, entrepreneurial, and demonstrated
team-player, as well as an early thought leader and hands-on implementer along with the
teams and developing best practices and recommendations around tools/technologies for
ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering,
Model Management, MLOps, Model Deployment approaches and Model monitoring and
tuning.
● Defining, designing and delivering ML architecture patterns operable in
native and hybrid cloud architectures.
● Research, analyze, recommend and select technical approaches to address
challenging development and data integration problems related to ML
Model training and deployment in Enterprise Applications.
● Perform research activities to identify emerging technologies and trends
that may affect the Data Science/ ML life-cycle management in enterprise
application portfolio.
● Ability to multitask and work on multiple engagements related to different
domains.
● Work in a highly collaborative and fast paced environment by interacting
with the stakeholders and various IT teams within the company to facilitate
the design and development of ML/AI solutions.
● Responsible for the successful delivery of all allocated projects with respect
to schedule, quality, and customer satisfaction.
● Work with the pre-sales team on RFP, RFIs and help them solutioning for
different AI/ML use cases.
● .Evaluate latest technologies, decide technical feasibility, and drive solution
implementations.
● Follow Agile standards and methodologies in all phases of the project and
ensure excellence in delivery to customers.
● Refine coding standards,
software development guidelines, and best
practices within the organization, and ensure adherence to those.
● Mentor other architects and young talent within the organization, define
and track their growth parameters.
Responsibilities:
● Strong interpersonal and written skills with clear and precise
communication.
● Experience working in an Agile and competitive environment.
● Technical leadership experience handling large teams.
● Stakeholder interaction experience both within the organization and outside
with clients.
● Strong analytical and quantitative skill set with proven experience solving
business problems across domains.
● Very good with EDA, Hypothesis Testing, Feature Engineering.
● Hands-on with Python/R programming and ML/Viz. libraries/frameworks like
Scikit-Learn, Pandas, Matplotlib, Seaborn, D3.js,Tensorflow, Pytorch , Keras.
● Experience with ML algorithms such as Regression and Classification
(Decision-trees, Random Forests, SVM, ANNs), Clustering(k-means, DBSCAN),
Dimension Reduction (PCA, SVD), Ensemble techniques (XGBoost, CatBoost,
LightGBM).
● Basic image enhancement techniques such contrast enhancement,
blurring, histogram equalization, etc using OpenCV.
● Experience with DL/CV techniques like CNNs, Faster RCNN, Mask RCNN,
YOLO, SSD, Detectron2 for various use cases related to image such as Image
Classification, Object Detection, Image Segmentation, etc.
● Traditional NLP - Bag of words, tf-idf, Stemming, Lemmatization,
Tokenization, POS tagging, Coreference Resolution Dependency and
Constituency Parsing, Named Entity Recognition.
● NLP: NLU vs NLG, Vector Space modeling and text representation
techniques in NLP, Knowledge/experience using RNNs, LSTMS, Sequence
modeling and Attention mechanism, Transformers, BERT, GPT and their
SOTA variants, Sequence modeling, Attention modeling, BERT,
Transformers. Using the above-mentioned techniques for Text classification,
Sentiment Analysis, Semantic similarity, Entity Extraction, Document
summarization, NLI, Question-Answering, Machine Translation, etc.
What is Required
● Forecasting modeling experience both on univariate and multivariate data
using algorithms like Linear Regression, Neural Networks,
Exponential
Smoothing, Holt’s Winters, ARIMA, SARIMA, LSTM.
● Identify appropriate objective functions, regularization techniques,
performance metrics based on the use case and should be able to perform
cross-validation, hyperparameter tuning, and error analysis.
● Proven experience building and deploying AI/ML solutions in production
using open source or cloud tools such as MLflow, Kubeflow, TFX, Feature
Store, etc.
● Hands-on AI/ML experience with any one cloud platform (GCP, Azure, AWS)
either using the modeling options (VertexAI, SageMaker, Azure ML) or
leveraging the APIs (Speech-to-text, Text-to-speech, Translation, Vision, Text
Extraction).
▶️ Senior Machine learning Architect (10 years-Bangalore/Mumbai)
🖊️ Quantiphi
📍 Kolhapur