Machine Learning Engineer

Position Overview

We are seeking a Senior Consultan t with strong software and machine learning engineering experience to design, build, and operate scalable data and ML systems. This role focuses on developing production-grade platforms, APIs, and pipelines that enable data-driven decision-making and business outcomes

.You will work closely with software engineers, data scientists, product managers, and platform teams to deliver reliable, observable, and scalable ML solutions. The role requires both hands-on technical execution and the ability to think strategically about system design, operational excellence, and long-term platform evolution

.
Key Responsibiliti

esSystem & Software Desi

• gnDesign and develop moderately complex, testable, and observable software system
• s.Contribute to architectural discussions, particularly for big data and machine learning application
• s.Apply systems thinking to identify improvements that scale beyond individual project

s.API & Platform Developme

• ntBuild and maintain reusable APIs and services consumed across multiple business unit
• s.Ensure solutions are scalable, secure, and aligned with software engineering best practice

s.Machine Learning Engineeri

• ngBuild and maintain end-to-end ML pipelines in production, including feature engineering, model training, validation, and inferenc
• e.Optimize ML systems for performance, reliability, and scalability in distributed environment

s.Data & Distributed Processi

• ngWork with large datasets using Spark and distributed computing pattern
• s.Train and deploy models using GPUs or distributed compute where appropriat

e.Operational Excellen

• ceImplement monitoring, logging, and alerting to meet SLA and reliability expectation
• s.Participate in root cause analyses (RCAs) and technical deep dive

s.Collaboration & Mentorsh

• ipCollaborate with engineering, data, and product stakeholders to align prioritie
• s.Lead code reviews, mentor peers, and promote engineering best practice
• s.Document and communicate technical concepts clearly to both technical and non-technical audience

s.Innovation & Continuous Improveme

• ntIdentify inefficiencies in systems and codebases and propose platform or tooling improvement
• s.Stay current with emerging technologies and share knowledge within the engineering communit

y.
Required Experience & Qualificati

• onsBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent professional experien
• ce.3+ years of experie nce in software engineering and/or machine learning engineeri
• ng.Strong programming skills in Pyt hon, plus experience developing software in at least three programming langua ges, with deep expertise in at least o
• ne.Proven experience building and operati ng production ML pipeli nes end to e
• nd.Hands-on experience wi th PyTorch, TensorFlow, and scikit-le a
• rn.Strong knowledge of Spark (PySpark, map-reduce patter ns) and large-scale data processi
• ng.Experience wi th cloud services on AWS, including storage (e.g., S3) and IAM concep
• ts.Experience with workflow orchestration tools such as Airf low and/ or Fl y
• te.Solid understanding of software engineering principles, data structures, and design patter
• ns.Experience designing testable systems and debugging issues within SLA constrain
• ts.Familiarity with monitoring and observability tools such as Data d

og.
Preferred Qualificat

• ionsExperience building or integrat ing LLM-based solut ions in production environme
• nts.Experience with streaming applications in cloud or hybrid architectu
• res.Prior consulting experience working across multiple teams or business un
• its.Strong technical writing and presentation ski