Engineering Manager- Data Science (Search and Match)

About the Position

BOLD is seeking for the newest addition to our existing Data Science team. 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.

Responsibilities

• Build AIML 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 providing technical leadership to a team of data science engineers.
• 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.
• Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience.
• Collaborates effectively with cross-functional teams to deliver end-to-end products & features.
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements.
• Responsible for creating model validation framework.
• Leading a data science team that delivers actionable results through the combination of data science solutions, business skills, statistical knowledge, and understanding of data.
• Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams.
• 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.

Requirements

• 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.
• 10+ years of working experience in ML/Data science with NLP background.
• Experience with frameworks that optimize prompt engineering (langChain/crewai/etc).
• Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus.
• Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design.
• Experience with Solr/OpenSearch/Elasticsearch.
• Experience with embedding & vector search.
• 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).
• Experience in leading a team of 3-5 data scientists.
• Experience using tools to deploy models into the production environment such as Jenkins.

Experience

• Engineering Manager, Data Science - 10 years+

We Offer

Outstanding Compensation

• Competitive salary
• Tax-friendly compensation structure
• Bi-annual bonus
• Annual Appraisal
• Equity in company

100% Full Health Benefits

• Group Mediclaim, personal accident, & term life insurance
• Group Mediclaim benefit (including parents' coverage)
• Online Health (OPD) Consultation Benefit
• Personal accident and term life insurance coverage

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

About the Company

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't 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.