The Data Science department at BOLD is at the forefront of leveraging data to drive insights and enhance product offerings. Our team focuses on utilizing machine learning techniques and natural language processing to solve complex challenges such as resume parsing, ranking algorithms, data quality improvement, and more. We collaborate closely with Engineering, Portals, BI, Product, and Legal teams to deliver innovative solutions that shape the future of job search technologies.
What You'll Do
- Production Environment Implementation. Collaborate with the development team to convert prototypes into robust production environments for the UI layer of highly scalable Ecommerce sites.
- Data System Architecture. Assist architects in designing and building data systems that provide structured and adhoc access to large datasets, ensuring efficient and effective data management.
- Deployment and Testing. Manage the testing, deployment, and version control processes for machine learning services and data systems, ensuring seamless integration and operational excellence.
- Project Management. Estimate project efforts, identify risks, devise project schedules, and lead review meetings to drive timely issue resolution and project completion.
- Multi-tasking and Adaptability. Demonstrate the ability to prioritize tasks effectively in response to changing project requirements and business needs.
What You'll Need
Technical Skills
- Expertise in Python, including developing RESTful web services using frameworks like Django or Flask.
- Advanced proficiency in SQL and NoSQL databases, with experience deploying models into production environments.
- Strong understanding of relational databases, capable of writing complex, optimized SQL queries for analytics and machine learning applications.
- Experience with any NoSQL database (e.g., MongoDB) and proficiency in Linux/Unix environments.
- Hands-on experience in containerization using Docker and maintaining Kubernetes clusters.
- Demonstrated experience deploying machine learning algorithms into production environments.
- Knowledge of cloud computing platforms such as Amazon Web Services (AWS) or Microsoft Azure.
Desirable Skills
- Familiarity with Information Retrieval tools like Lucene/Solr or Elasticsearch.
- Interest and experience in data analysis, machine learning, and natural language processing.
- Previous work with service-oriented architectures (SOA).
Experience
- Module Lead, Python. Minimum 5.5+ years of experience in Python development, with a proven track record in technical leadership and project management.
Benifits
- Compensation. Competitive salary with a tax-friendly compensation structure, bi-annual bonuses, and regular appraisals.
- Health Benefits. Comprehensive health coverage including Group Mediclaim for employees and their parents, Practo Plus health membership, and personal accidental & term life insurance.
- Flexible Time Away. Generous leave policies including 24 days of paid leaves, fixed holidays, paternity/maternity leave, compassionate and marriage leave, and Covid leave (up to 7 days).
- Additional Perks. Internet and home office reimbursement, in-office catered lunch, meals, and snacks, certification policy, cab pick-up and drop-off facility, quarterly team outings, annual party, and Diwali gifts.
About Bold
At BOLD, we are dedicated to transforming work lives globally. Our digital products empower millions of users across 180 countries to create strong resumes, cover letters, and CVs, enabling them to secure jobs with confidence and efficiency. We foster a culture of expertise, continuous learning, collaboration, and creativity among our diverse workforce.
Diversity and Inclusion
We are proud to be an Equal Opportunity Employer committed to diversity and inclusion in all aspects of employment. We recruit, hire, and promote based on qualifications, merit, and business needs, ensuring a fair and inclusive workplace for all. We do not discriminate based on 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 characteristic protected by law.