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Job Location: Mumbai
Machine Learning Solutions lead will be responsible for designing and developing machine learning and deep learning systems according to business requirements.
ESSENTIAL FUNCTIONS OF THE JOB :
– Applying data mining and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data
– Ability to work with structured and unstructured data sets and building out predictive models
– Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
– Designing, architecting and developing solutions leveraging bigdata technology (OpenSource, Hortonworks, AWS or Microsoft) to ingest, process and analyse large, disparate datasets
– Designing machine learning systems/applications
– Researching and implementing appropriate ML algorithms and tools
– Developing machine learning applications according to requirements
– Running machine learning tests and experiments
– Performing statistical analysis and fine-tuning using test results
– Training and retrain systems when necessary
– Clearly communicating findings, recommendations and opportunities to improve data systems and solutions
– Demonstrating deep understanding of and ability to teach data science,concepts, tools, features, functions and benefits of different approaches to apply them
– Seeking out information to learn about emerging methodologies and technologies
– Looking for opportunities for improving methods and outcomes
– Collaborating, influencing and building consensus through constructive relationships and effective listening
– Solving problems by incorporating data into decision making
– Study and transform data science prototypes
– Keep abreast of developments in the field maintaining effective and consistent communication within the team, with peers, the leadership team and the peers in other IT groups
– Producing high quality deliverable in accordance with the project timeline
– Familiarity with Agile development methodology.
OTHER RESPONSIBILITIES / SUPPORTING ACTIONS :
– Providing formal and informal coaching on-the-job to develop the team in data analysis and machine learning
– Supporting the development of innovative solutions and responding to client RFP’s on digital / emerging technologies
Responsibilities, Qualifications, Certifications – External
ANALYTICAL/DECISION MAKING RESPONSIBILITIES :
– Outstanding analytical and problem-solving skills
– Ability to convert business and technical requirements into an appropriate technical solution
– Takes accountability for quality technical deliverable to agreed schedule and estimates
KNOWLEDGE AND SKILLS REQUIREMENTS:
TECHNICAL SKILLS :
– At least 3 years hands-on experience with data science, big data, machine learning and data engineering
– Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage etc.
– Deep understanding of statistical modeling as well as ETL, data ingestion/cleansing and engineering skills
– Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft)
– SQL, Hive, Pig are required
– Experience using data mining and statistical tools R or SAS, Python, Java/C# and Scala
– Must have worked with multiple tools/libraries such as Weka, NumPy, PyMongo, R,etc.
– Experience using Machine learning techniques and algorithms, such as k-NN, NaiveBayes, decisiontrees, SVM, Decision Forests, Linear Regression, Logistic Regression etc.,
– Experience with data visualization tools, such as D3.js, Power BIetc.,
– Experience in developing Recommendation engines, scoring systems, A/B testing
– Exposure to NLP Packages, Speech recognition /identification
– Experience using Deep learning libraries / frameworks like TensorFlow, Keras etc.,
– Solid pattern recognition and predictive modelling skills
– Ability to set up data and experimental plat forms
– Ability to continuously improve the model with domain knowledge and expert advise
– Ability to implement the model in business applications
– Must have hands on experience in Azure MLStudio for constructing and operationalizing Machine learning workflow on Azure
BEHAVIORAL COMPETENCIES :
– Communication is essential, must be able to listen and understand the question and develop and deliver clear insights.
– Willingness and ability to travel to meet client needs.
– Outstanding team player.
– Independent and able to manage and prioritize workload.
– Must be flexible and able to quickly and positively adapt to change.
SUPERVISION RESPONSIBILITIES :
– Can lead a diverse group of project stake holders and members towards successful delivery of a project
– Mentors junior members of the team and reviews their work acting as a best practice / quality resource
– Able to delegate when appropriate but leads by example when required
EDUCATION :
– B.E/ B.Tech/ MCA/ MS or Equivalent degree
EXPERIENCE:
– 10+ years of IT industry experience with at least 3 years with data science, bigdata, machine learning and data engineering
CERTIFICATION REQUIREMENTS :
– Preferred industry recognized certifications in statistical methods for data science, R, Python, SQL, data mining, machine learning, information visualization, or database management systems.
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