S&P Global Lead Machine Learning Engineer in Hyderabad, India
Segment: Market Intelligence
The Role: Lead Machine Learning Engineer
Grade ( relevant for internal applicants only ): : 11
The Location : Gurgaon/Hyderabad/Ahmedabad
The Role: As a ML Engineer in the S&P Global Data Science team, you will work on multiple data science projects in collaboration with internal and external project owners on the product, commercial, and data team. You will be responsible for providing machine learning engineers support, create data pipeline for modeling, scale models, develop APIs to help move machine learning models in productions. You will collaborate with the data scientists and production-oriented software engineers
The Team: You will be part of a rapidly growing organization, joining the team of highly motivated and professional Data Scientists and Machine Learning Engineers within S & P Global Market Intelligence division. Market Intelligence provides financial and industry data, research, news and analytics to investment professionals, government agencies, corporations, and universities worldwide. We integrate news, comprehensive market and sector-specific data and analytics into a variety of tools to help clients track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuations, and assess credit risk.
We are looking for candidates from a diverse pool of graduate & postgraduate institutions that are passionate to build, scale and deploy Machine Learning Models that provide timely and essential intelligence to our disparate array of customers across the globe.
What’s in it for you:
We provide a highly inclusive work environment where in you can bring your whole self to work to assist S&P Global in achieving its mission of being one of the leading providers of the highest quality risk evaluations and analytical information to the world’s financial markets. As an integral part of our team, you will be working on cutting edge state-of-the-art technology stack. In this role, you will work on multiple data science projects in collaboration with internal and external project owners on the product, commercial, and data team. You will be responsible for providing machine learning engineers support, create data pipeline for modeling, scale models, develop APIs to help move machine learning models in productions. You will collaborate with the data scientists and production-oriented software engineers
Construct machine learning lifecycle management including data collection, normalization, and standardization within a data pipeline construction
Develop AutoML infrastructure for model selection and hyperparameter tuning
Create applications and interface to present the output of ML models
Experiment, develop and productionize high quality machine learning services and platforms to make huge technology and business impact.
Develop hosting platform for machine learning models.
Create pipelines to query and retrieve and update data for existing applications to keep them updated
Supervise the scaling and management of the machine learning modeling ecosystem
Work alongside data scientists and product owners to improve aspects of their lines of business through machine learning
What We’re Looking For:
Possess excellent verbal & written communication skills
Expertise in application, data, and infrastructure architecture disciplines
Advanced knowledge of architecture and design across all systems
Proficiency in multiple machine learning programming languages including Python, PySpark, or Scala
3 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc
Able to understand various data structures and common methods in data transformation
Knowledge of industry-wide technology trends and best practices
Ability to work in large, collaborative teams to achieve organizational goals
Passionate about building an innovative culture
Familiarity with MLOps and ModelOps
Docker, Kubernetes, AWS, Python
Familiarity with or clear interest in learning about financial Markets.
Basic Qualifications :
- BS/BA degree in computer science or engineering
About S&P Global market Intelligence :
At S&P Global Market Intelligence, we know that not all information is important—some of it is vital. Accurate, deep and insightful. We integrate financial and industry data, research and news into tools that help track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuation and assess credit risk. Investment professionals, government agencies, corporations and universities globally can gain the intelligence essential to making business and financial decisions with conviction.
S&P Global Market Intelligence is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit www.spglobal.com/marketintelligence.
IFTECH202.2 - Middle Professional Tier II (EEO Job Group)
Job ID: 256949
Posted On: 2021-06-10
Location: Gurgaon, Haryana, India
S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race - ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.