Machine Learning Programmers:
Responsibilities
Requirements
Experience:
Job location:
Duration:
Joining:
OMP Delivery Manager
Must have Technical Skills : Functional experience in Demand Planning, Supply Planning, Scheduling, MEIO, S&OP solutions
Good to have Technical Skills : experience in implementing at least Two OMP engagement
Preferred Industry Experience: supply chain planning projects Experience
Preferred Project Experience: Involved in 2 OMP implementation as functional consultant
Role & Responsibilities:
Depth and Breadth in OMP solutions and must have prior experience in implementing at least Two OMP engagement with hands-on skills.
Technical hands on experience with OMP Demand Planning, Supply Planning, and Production Planning solutions.
Experience as an Architect and participating in design sessions, resolving technical issues during various project phases.
Proven experience conducting analysis sessions to understand the functional and technical needs of project requirements and the developed technical solutions to meet those needs.
Experience facilitating/leading functional / technical analysis and/or design workshops in support of desired to-be business requirements and then transferring the information gained into a written design document for group review and consensus.
Knowledge on integrating OMP solutions with SAP ERP.
Nos of Resources required: 1 to 2
Work location: Mumbai/Bangalore
Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background
Experience: 8 yrs - 12 yrs
Mobilization Period in weeks: 3 to 4
Duration: 3-4 quarters.
Position: Support Engineer
Must Have Technical Skills: Azure Data Factory
Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls
Preferred Industry Experience: Manufacturing
Role:
Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.
Troubleshoot issues, provide workaround, determine root cause, upon failures.
Desired Qualification:
· 0-3 years of DE or batch support experience.
· Must be willing to work completely in the night shift.
· Ability to work on a task independently or with minimal supervision.
· Knowledge of Data Orchestration Tool, preferably ADF.
· Knowledge of sql or hive, python, pyspark, hdfs or adls.
· Work location: Remotely.
Nos of Resources required: 1 to 2
Work location: Remote
Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background
Experience: 0-3 Years
Mobilization Period in weeks: 1 week
Duration: 6 to 12 months
·Conduct analysis to address critical business challenges faced by client teams working in different markets across the banking value chain to recommend the best data and insights powered solutions
· Gathering business requirements to create high level business solution framework covering aspects of banking customer journey, policy & regulatory requirements, data driven business process design & Technology Architecture
·Interface with client teams along with inputs from internal research and data insights teams to develop solutions for identified opportunities across banking LOBs
·Build analytical use cases in AI and Machine Learning across different banking functions including Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, Product design and Marketing, AI driven Customer Experience
· Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL, Oracle, S3 buckets and likes of the same
· You should have worked for 4-6+ years in the area of Knowledge Strategy and Consulting, Analytics and AI Delivery and Business Operations in any of the Tier-1 consulting organizations (McKinsey, BCG etc.) with focus and experience in Banking industry
·Experience in at least some banking function like Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, Product design and Marketing, AI driven Customer Experience
·Experience in at least some areas of banking domain like Cards/Payments/Retail or Commercial Banking/Digital/Mortgages or Regulatory/Data Privacy/Asset Management/CDD/KYC/AML or Contact Center/Branch Banking along with knowledge of various banking products is required
·Have experience in building analytics models in atleast 1 or more banking function for cross-sell up-sell models, churn models, forecasting models, fraud detection models, AML models, default prediction models, risk pricing models etc.
·Hands on experience in building and deployment of Statistical Models/Machine Learning using following techniques – Statistical Algorithms (at least some of them)
a. Segmentation and Predictive Modeling (K means, Clustering, Multivariate Regression, Logistic Regression)
b. ML algorithms –RF, GBM / XgBoost, SVM
c. NLP algos – TFIDF, Word2vec, LDA
d. Exploratory Analytics (T-tests)
e. Decision Trees
·Experience with some databases preferred like Oracle, TD, Sybase, MS SQL, Win SQL, S3 buckets
·Experience and exposure to developing cloud solutions on AWS/GCP/Azure
·Good experience with Data, Analytics and AI technologies & tools – data native mindset with a deep understanding of Statistics and experience in A/B or multivariate experiment set-up, sharing testing results & recommendations
·Ability of Visual story-telling with BI & Visualization Tools (Tableau/Spotfire/Power BI, Cognos, Business Objects) is preferred
·Advanced Excel including VBA and PowerPoint skills
·Consulting skills Experience preferred
·Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business people
·You are laser focused on delivering outcomes with speed and agility
·You are self-driven and thrive in ambiguity
·MA/MBA/MSc/MPhil. in Statistics / Economics/ Mathematics / Engg. Degree from Top Colleges in India or Abroad
Experience:
Job location:
Duration:
Joining:
Position: PySpark Developer
Must Have Technical Skills: PySpark
Good to have Technical Skills: Spark, DWH
· Hand on experience in Pyspark and Numpy, List, Pandas, Graph plotter.
· Excellent knowledge of Python framework and Airflow/Luigi/Dagster/Apache Beam.
· Python skills with all sorts of data libraries, visualization libraries,
· Good SQL knowledge.
· Ability to perform multiple task in continually changing environment.
· Exposure on Hive/HBase/Redis.
· Good knowledge of Data warehousing.
· Reading from Parquet and other format.
· Worked on Hive and HBase.
Nos of Resources required: 3 to 4
Work location: Remote
Qualification: BTech
Experience: 4 yrs – 5 yrs
Mobilization Period in weeks: 1 week
Duration: 3 to 6 months
Position: NiFi /Big Data Developer
Must Have Technical Skills: NiFi
Good to have Technical Skills: Python, ETL
Preferred Industry Experience: Telecom
· Extensive experience on Nifi to setup data pipeline.
· Hands on experience in using controllers and processors to setup ETL framework in Apache Nifi
· Extensive experience in Python
· Food understanding on Spark, Spark Streaming & PySpark.
· Good understanding of Big Data components
Nos of Resources required: 2 to 3
Work location: Remote
Qualification: BTech
Experience: 4 yrs – 5 yrs
Mobilization Period in weeks: 1 week
Duration: 3 to 6 months