noida uttar pradesh architect work from home Jobs – 25 Open Jobs Today

Engineering Manager- Data Science (Search and Match)
BOLD LLC —Noida, Uttar Pradesh
- Management
- Master's degree
- SQL
- Health insurance
- Paid time off
Module Lead- Data Science (Search and Match)
BOLD LLC —Noida, Uttar Pradesh
- Master's degree
- SQL
- Analysis skills
- Health insurance
- Paid time off

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Engineering Manager- Data Science (Search and Match)

BOLD LLC -
Noida, Uttar Pradesh

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Job details

Benefits

Health insurance
Paid time off
Life insurance

Qualifications

TensorFlow
Elasticsearch
Management
Law
PyTorch
Master's degree
SQL
Analysis skills
Machine learning
Natural language processing
Data science
Solr
AI
Leadership
Jenkins
Python

Full job description

Noida, Uttar Pradesh, India

Data Engineering & Analytics

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 – More towards the role required

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 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.

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.
10+ yrs of working experience in MLData science with NLP background
Experience with frameworks that optimizes 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+

#LI-SV1

Benefits

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 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'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.

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Engineering Manager- Data Science (Search and Match)

Module Lead- Data Science (Search and Match)

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