ML Engineer

4 weeks ago


Bengaluru, India Birlasoft Full time
About the Job

- Looking for ML Engineers with strong background in deploying and operationalizing ML models, Deep Learning Models (with focus on LLMs).Job Title

- ML EngineerLocation

- BangaloreEducational Background

- A masters or bachelor’s degree in computer science or related field from a top university.Key Responsibilities

- Build, Refine and Use ML Engineering platforms and components.• ML Engineers with strong background in deploying and operationalizing ML models, Deep Learning Models (with focus on LLMs)• Scaling machine learning algorithms to work on massive data sets and strict SLAs.• Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training.• Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop.• Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering.• Implement basic features aligning with technical requirements.• Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors.• Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews.• Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths.• Uses bug tracking, code review, version control and other tools to organize and deliver work.• Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies.• Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions.Skills Required -

4+ years’ hands-on experience in ML development.• Good fundamentals of machine learning and deep learning• Experienced in backend API design, vector DB.• Strong programming expertise in Python, PySpark/Scala.• Expertise in crafting ML Models for high performance and scalability.• Experience in implementing feature engineering, inferencing pipelines, and real time model predictions.• Experience in ML Ops to measure and track model performance, experience working with MLFlow• Experience with Spark or other distributed computing frameworks.• Experience in ML platforms like Sage maker, Airflow, Kubeflow, Tensorflow/Kears/Pytorch, or other platforms.• Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML.• Expertise in SQL, SQL DB's.Additional Requirements

- Knowledgeable of core CS concepts such as common data structures and algorithms.• Collaborate well with teams with different backgrounds / expertise / functions.Additional Skills• Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform;• Experience in data engineering in Big Data systems
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