Company:

Bajaj Finserv

Job Title:

Senior Lead– Machine Learning

Reports to:

Senior Head Data Science

Location:

Pune

Grade:

E07

Position Summary:

We are looking for an exceptional hands-on Machine Learning Engineer with a proven track record of applying high degree of scientific rigor and real-world pragmatism in all his work. Promote deep scientific expertise, constant learning attention to detail, humble, and open to challenging any assumptions.

Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

Demonstrated skills in selecting the right tools given a data analysis problem. Effective written and verbal communication skills.

Build and Prototype analysis pipelines iteratively to provide insight at scale. Work with large, complex data sets, solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specifications, processing, analysis, ongoing deliverables, and Presentations.

Candidate must have ability to work in a team environment; provide constructive alternatives/ approaches to solving issues; be flexible; have a strong sense of urgency for critical tasks; and must be able to handle multiple projects simultaneously while effectively managing schedule and communicating processes.

Position requires a proactive, self-starting, independent, flexible individual with ability to be productive with little supervision

Translate high-level requirements into designs and analysis architecture/pipelines. Lead machine learning development efforts from model selection and development, to training and labelling pipeline implementation. Assist other departments in carrying out large scale data analysis, when necessary. Providing accurate time estimates for design and development

Duties and Responsibilities:

This role is for machine learning and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML. Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration. Strong empowerment and self-drive is a must.

Basic Qualifications:

1. PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field
2. 8 + years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment
3. Strong Problem-solving ability
4. Experience in deep/machine learning using one of the well-known APIs such as PyTorch, TensorFlow, Caffe etc.
5. Experience building ML models for different use cases. Software Engineering experience building production ML models with one or more of the following: TensorFlow, MXNET, Spark ML, Scikit Learn, etc.
6. Experience with databases, schema design, and data processing technologies such as: Hadoop, Spark, etc.
7. Proficiency in one or more SQL database technologies such as PostgreSQL, MySQL, Oracle, MS SQL, etc.
8. Identify business and technical requirements, conduct full technical discovery
9. Translate high-level requirements into designs and analysis architecture/pipelines
10. Assist in the development of software toolchains for algorithm integration, when necessary
11. Assist other departments in carrying out large scale data analysis, when necessary.
12. Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services
13. Fair knowledge of scripting and working in Linux environment
14. Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB)
15. Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc.
16. skills with Shell/Perl (or similar scripting language), Scala and Java
17. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred
18. Strong hands-on nature (ability to self-code is a must).
19. Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications
20. Collaborate with various teams to derive an end to end workflow from data curation and training to performance optimisation and deployment