Machine Learning Architect(Gen AI/Agentic AI)

Quantiphi; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Quantiphi, Bengaluru-based AI-first digital engineering leader, seeks a seasoned ML Architect/Applied AI Researcher. You will evangelize latest AI research, guide architectural direction for AI modeling, and oversee LLM evaluation, RLHF, and deployment strategies in enterprise settings.

The role demands leadership across data collection, preprocessing, feature engineering, model management, and monitoring, with hands-on implementation and mentoring of junior staff.

Qualifications

• Strong experience designing ML architectures for enterprise applications.
• Hands-on Python programming and ML framework proficiency.
• Proven ability to lead ML projects end-to-end including data and model management.

Responsibilities

• Define, design and deliver ML architecture patterns for native and hybrid clouds.
• Evaluate technologies and drive ML model training and deployment in enterprises.
• Mentor architects and teams, set best practices for MLOps and lifecycle management.
• Collaborate with pre-sales to shape AI use cases and proposals.
• Ensure timely, high-quality delivery with stakeholder satisfaction.

Skills

ML architecture

Python

Deep learning

RLHF

Education

MS/PhD ML

Tools

MLflow

Kubeflow

TFX

SageMaker

Job description

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

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.

Job Summary

Role : TA ML/Sr.ML Architect

Experience : 10- 18 Years

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

Responsibilities

• 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.
• 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.

What is Required

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
• Experience with ML algorithms such as Regression and Classification LightGBM)
• Experience with DL/CV techniques like CNNs, Faster RCNN, Mask RCNN, YOLO, SSD, Detectron2 for various use cases related toimage such as Image
• 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 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 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 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).

Nice to have skills:

• In-depth experience in AI/ML and Data analytics services offered.
• Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data MLOps, Model Deployment approaches and Model monitoring and tuning.

What’s in it for you?

• 1. The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain.
• 2. The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation.
• 3. The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.
• 4. Flexible working options available to foster productivity and work/life