Senior Machine Learning Developer- WFH

Staff Machine Learning Engineer

Experience: 7+ yearsExpected Notice Period: 2 to 4 WeeksShift: (GMT+05:30) Asia/Kolkata (IST)Opportunity Type: RemotePlacement Type: Full-time Permanent position(*Note: This is a requirement for one of Uplers' clients)

What do you need for this opportunity?Primary Skills:Big data analytics, Keras, Large Language Model (LLM), Presto, TensorFlow, Pytorch, Agile, Apache, Spark, AWS, DynamoDB, Kafka, Machine Learning, PythonAssessment: Role-based AI Screening covering Communication and Technical Skills

Our Hiring Partner is Looking for:Staff Machine Learning Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you!

Roles & Responsibilities:In this role, you’ll:Build and maintain scalable machine learning solutions in productionTrain and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustnessDemonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systemsPartner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems neededWork closely with data platform teams to build robust scalable batch and realtime data pipelinesWork closely with software engineers, build tools to enhance productivity and to ship and maintain ML modelsDrive high engineering standards on the team through mentoring and knowledge sharingDrive engineering best practices around code reviews, automated testing and monitoring

Qualifications:Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

This Role Requires:7+ years of applied ML experienceProficiency in Python is preferred. We will also consider strong quantitative candidates with a background in other programming languagesStrong background in the foundations of machine learning and building blocks of modern deep learningTrack record of building, shipping and maintaining machine learning models in production in an ambiguous and fast paced environmentTrack record of designing and architecting large scale experiments and analysis to inform product roadmapYou have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they doFamiliarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoringDemonstrated ability to ramp up, understand, and operate effectively in new application / business domainsYou’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similarExperience working in an agile team environment with changing prioritiesExperience of working on AWS

Desired: Experience with Large Language Models

Location: This role will be based in our Bengaluru, India office. Approximately 10% travel is anticipated.

Note: We are hiring candidates exclusively from the below citiesDelhi, Maharashtra, Karnataka, Telangana, and Tamil Nadu.Candidates from service based companies don't fit in our ideal candidate persona, candidates from product companies & start ups are preferred.Shift is generic but you are expected to attend calls (standups) which may happen late at night (9 PM or so) or early in the morning

What we offerThere are many benefits to working at Twilio, including things like competitive pay, generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.RSUs and bonuses

How to apply for this opportunity?Register or login on our portal & fill out the applicationClear the given AI Screening (30 min) and Click on ‘Apply’ to get shortlistedOur team of talent matchmakers will matchmake you with the clientCrack a quick interview with our clientLand your global dream job and get your exciting career started!

About our Hiring Partner:We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

About UplersOur goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant direct placement Remote opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Key Skills

• AWS
• Python
• Machine Learning
• Kafka