Leadership Role - Machine Learning Solutions - BPO/IT/KPO/Consulting

Summary of Role/Profile :

What is the focus of the function :

- Be a key stakeholder in enabling Predictive Modeling Solutions for domain specific products using standard industry best statistical Algorithms.

- Define Data Preparation Approach, design model and finalize the appropriate Machine Learning Algorithms based on Problem Scenario. Handle Data Munging/ Data wrangling/ Mash up Techniques to prepare sample, test data

- Apply data mining techniques, do statistical & exploratory analysis and build high quality prediction systems integrated with existing products.

- Help/coordinate with, other date scientist's or ML programmers to evaluate algorithms and fine tune the models.

- Why does this job exist- Need to build and drive the big data development team to provide next gen solutions using latest technology

- How does the role add value- Provide strategic guidance on product creation and development using machine learning

What are the minimum prior qualifications to be an applicant for this role-

- Must be self-motivated with a proven track record in Machine Learning and Predictive analysis using one of the Technologies like R,Spark,Python,Mahout.Hive etc.

- What are the key initiatives and challenges facing this role in the next six months to three years-

- Build the development team,

- Understand and build working relationship with companies internal stakeholders for big data

- Understanding business needs and drive proof of concepts.

Specific Competence (Essential) :

Expertise and experience in Machine Learning & Predictive Analysis

Key Roles and Responsibilities Knowledge, Experience and Education External and Internal Contacts :

- Work with Product Managers to understand the Predictive Modeling requirements and Define the Architecture using R, Python, Spark, SQL, Hive, Mahout, Tableau ..etc

- Identify the Supervised/Un Supervised classification, Regression, Rule and Cluster based Statistical Machine Learning algorithms which fit to the required data analysis.

- Selecting features, building and optimizing classifiers using machine learning techniques

- Work with Technical leads to design, build optimized solutions on par with current industry best practices in Processing, cleansing, and verifying the integrity of data used for analysis

- Handle large volumes of data for sample data preparation and test data preparation to apply the ML models using Data Munging / Data wrangling/Mash up Techniques.

- Provide consulting and support for custom development and quality assurance efforts for custom work

- Provide best practices on R, Spark, Hive,SQL, Python,Tableau and other others.

- Manage development designs across multiple projects to meet project and customer required time lines.

- Define Exploratory Data analysis Approach to analyse data and summarize their main characteristic with visual methods.

Non-negotiable :

- Proven track record in ML & Predictive analysis using Technologies like R,Spark,Python,Mahout.Hive etc.

- Sound knowledge of Statistical Machine Learning Algorithms for exploratory & predictive data analysis.

Comfortable in a dynamic atmosphere of a technical organization & well versed with object oriented languages, database design & hands-on experience in writing codes, technical design, architecture reviews & large scale enterprise applications.

- Candidate must be organized and analytical, adept at working in a multiple team's environment, able to design and implement a technical solution, and able to handle multiple priorities in a fast moving environment.

- Experience in Regression, Classification, Clustering Algorithms like Linear Regression, Random Forrest, Decision Tree, Logistic Regression, K-Mean, Naive Bayes, SVM, Decision Forests, etc

- B.Tech / M.Tech /BE in Computer Science, Software Engineering, MIS or equivalent preferred

- Should have hands-on expertise in some of the following technologies: R, Python, Spark, Mahout,Hive..etc

- Experience on no SQL databases like MongoDB, Cassandra will be an additional advantage

- Good Understanding of Bigdata / hadoop Data storage and processing Methodologies

- Good applied statistics skills, such as distributions, statistical testing, regression

- Good experience on data analysis techniques with visualization/non visualization methods to identify the right algorithm.

- Good experience in identifying the missing values using different techniques.

- Good experience on Data visualization Tools like Tableau / Kibana ..etc

- Strong presentation, writing and communication skills in technical reviews and design authority meetings.

- Ability to understand the product road-maps and converting them in scalable architecture and define the development approach

- Thought leadership in Advanced data analytics and Big data processing.

- Must demonstrate good judgment and pragmatic approach to delivering software that optimizes architecture activities across company needs, business constraints and technological realities

- Should have participated in, and be familiar with, Agile (Scrum) project methodologies

- 10+ years of relevant experience in professional services, development, system design & architecture roles.

- At least 3 years of ML / Data science experience in implementing complex projects

- Proven Development consulting experience

- Ability to work in team oriented environments