Navikenz - Lead Data Scientist - Deep/Machine Learning (9-12 yrs)

About Navikenz :

Navikenzs mission is to Enable human enterprise with AI to create a new digital future and we are are guided by our core value, Technology second, Outcome first. We ensure we fully understand our customers business needs in-depth through our Business Solution Consulting services and we build the right technology solutions through our Data Management, AI and Digital Engineering services to realize the business needs.

Navikenz is founded and managed by a leadership team that has earlier established and successfully scaled many globally admired IT Services organizations like Mindtree, Infosys, and others. The management experience of the top 20 people at the company is an average of about 20 years.

Our values define our culture. At Navikenz, are creating a differentiated workplace where :

- There is no hierarchy, employees come together as pods to solve problems.

- There are virtual first, hybrid ways of working, with an ability to define flexible work

schedules.

- Workplace is open, transparent and encourages healthy debate, and diversity of thoughts.

- A vacation policy which encourages work-life balance.

- Family and well-being are given the most importance.

- There is a focus on learning.

About the role :

Brief Summary of the Role :

- Candidate should have experience in ML problem formulation, building, testing, deploying and operationalizing models in different Cloud Environments.

Objective of this role :

- Front End with clients to understand Business Process / Requirements/KPIs and Communicate

it with internal team.

- Direct a team of data scientists, data engineers and ML Engineers to achieving desired results.

- Receptive to taking up new initiatives learning and delivering output Combine the best of

Software Engineering and Model Development Practice.

Responsibilities :

- Work directly with clients and cross functional teams such as SME, Data Scientists, Engineering to define, develop and implement right ML Solution.

- Defining POCs, Building Rapid prototypes, communicating the results with stakeholders and

taking POCs to production and enabling teams to monitor ML models.

- Should be able to learn new Technology & Domain and Identify new Data sources that can

solve a particular problem.

- Should be able to experiment with new Technologies in ML / DL space and help define

architecture

- Understand & Perform Infra sizing for Training and Serving Production Environments.

Required/Must have skills :

- Masters / Bachelors in Computer Science, Mathematics, Statistics, AI , Data Science or related

field

- Must have Experience of working in End-End model development ML/DL with different

Algorithms using Scikit, TensorFlow, PyTorch, Python , R in AWS / GCP / Azure, Generative AI.

- Must have experience of MLOps and additionally experience of optimizing, deploying ML/DL

models in different environments

- Must have experience of leading a team of Data scientists / ML Engineers

- Must have worked in at least two Domains such as FSI, Healthcare and Life Sciences , Retail ,

Travel , Supply Chain

Preferred/Good to have skills/Qualifications :

- PhD in Statistics, Mathematics

- Candidates with working knowledge in Pharmacovigilance/FSI would be preferred

Work Location :

The candidate will have the flexibility to work remotely with occasional travel to an office location or to a client location, when required. Navikenz employees are tagged to a base location (major metrocities) and are required to be available at the location as required for internal company meetings orotherwise, at their own expense