Technical Architect-I, Data Science
BOLD is seeking Data Scientists who will be the part of the existing Data Science team, where you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products.
JOB DESCRIPTION
ABOUT THIS TEAM
The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL.
The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology.
WHAT YOU’LL DO
- Build AI/ML models that serve for content generation, content recommendation, and content moderation using LLMs.
- Responsible for converting business requirements into robust data science algorithms.
- Responsible for design, development, deployment of AI/ML, NLP, statistical & content recommendation algorithms that may not require LLMs.
- Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
- Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements.
- Responsible for creating model validation framework.
- Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams.
- Responsible for creating effective data flow diagrams and roadmaps around complex problems.
- Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation.
- Assess, inspire and motivate a high performing team of data science professionals.
WHAT YOU’LL NEED
- Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution.
- Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods.
- Deep understanding of natural language processing (NLP) techniques and algorithms, as well as experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face.
- Open to work on various LLM/GenAI frameworks – GPT, Gemini, LLaMa, Phi, etc.
- Experience with multimodal DS models, eg. Text to image, image to text is a plus
- Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML(Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch).
- Should have strong communication and collaboration skills to work effectively with other teams and stakeholders.
- Experience using tools to deploy models into the production environment such as Jenkins is a plus.
WHAT’S GOOD TO HAVE
- Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering the ready-to-use solution.
- Strong Programming experience in Python. Familiar with various Machine Learning algorithms and Statistical methods.
- Deep understanding of natural language processing (NLP) techniques and algorithms, as well as experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face.
- Open to work on various LLM/GenAI frameworks – GPT, Gemini, LLaMa, Phi, etc.
- Experience with multimodal DS models, eg. Text to image, image to text is a plus
- Experience designing and implementing ML systems with Data Pipelines (Data Cleaning and creative Feature Engineering), Model Iterations and Evaluation, High throughput ML(Model Training, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch).
- Should have strong communication and collaboration skills to work effectively with other teams and stakeholders.
- Experience using tools to deploy models into the production environment such as Jenkins is a plus.
EXPERIENCE-
- Technical Architect- Data Science- 10yrs +
BENEFITS
OUTSTANDING COMPENSATION
- Competitive salary
- Tax-friendly compensation structure
- Bi-annual bonus
- Annual/bi-annual appraisal
- Equity in company
100% FULL HEALTH BENEFITS
- Group Mediclaim, personal accident, & term life insurance
- Practo Plus health membership
- Mental health and wellness (apps, additional support, etc.)
FLEXIBLE TIME AWAY
- 24 days paid leaves
- Declared fixed holidays
- Paternity and maternity leave
- Compassionate and marriage leave
- Covid leave (up to 7 days)
ADDITIONAL BENEFITS
- Internet and home office reimbursement
- In-office catered lunch, meals, and snacks
- Certification policy
- Cab pick-up and drop-off facility
- Quarterly team outings and annual party
- Marriage, birthday, and Diwali gifts
ABOUT BOLD
WE TRANSFORM WORK LIVES
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.
WE CELEBRATE AND PROMOTE DIVERSITY AND INCLUSION
We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don' discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.