Sr AI Research&Engineer(Data Analyst, Python, Database)

VELACORP
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Nam Từ Liêm, Hà Nội
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Mô tả công việc

Mô tả công việc

The ideal candidate will have a strong background in data science, with proven experience in machine learning, statistical analysis, and big data technologies. You will lead projects from conception to deployment, mentor junior data scientists, and collaborate with cross- functional teams to drive innovation and improve our data- driven decision- making processes.
We are seeking a highly skilled Senior Data Scientist to join our dynamic team. This role involves tackling complex data challenges, developing predictive models, and extracting valuable insights to inform strategic decisions.
If you are passionate about leveraging data to solve problems and have a track record of delivering impactful data science solutions, we would love to hear from you.

Responsibilities:
- Develop and implement advanced statistical and machine learning models to solve complex problems,
Lead the data- driven decision- making process, from data collection and analysis to implementation and monitoring of solutions.
- Manage data science projects, ensuring they meet business requirements and are delivered on time
Mentor junior data scientists, providing guidance and support in their professional development.
- Stay abreast of industry trends and advancements in data science and machine learning, continuously improving our methodologies and technologies
- Collaborate with cross- functional teams to understand business challenges and objectives, translating complex data into actionable insights.

Yêu cầu công việc

Yêu cầu công việc

Experience: At least 3 years of full- time work experience as AI research and engineer .
Education: A postgraduate degree in computer science, statistics, or a related field.
Technical Skills
Extensive experience in building and deploying NLP solutions such as chatbots and retrieval- augmented generation (RAG) question- answering systems.
Experience with natural language processing and image processing techniques.
Strong understanding of deep learning techniques and models, particularly in natural language processing (NLP), including embeddings and large language models (LLMs).
Proficiency in programming languages such as Java or Python.
Familiarity with big data stacks like Hadoop or Apache Spark.
Database and Systems Knowledge
Knowledge of enterprise search technologies and recommendation systems.
Familiarity with NoSQL databases.
Soft Skills: Strong communication skills and the ability to collaborate effectively across teams.

Quyền lợi

Tại sao bạn sẽ yêu thích làm việc tại đây

Remuneration
Off Saturday, Sunday
Salary increase considered every 6 months, salary proposed according to personal ability
Leave 15 days/year
Enjoy projects and year- end bonuses
Lunch allowance, computer depreciation

Health care and spiritual life

Participate in the sponsoring company&039;s Yoga class
Annual travel, team building, monthly party...
Social insurance, health insurance, unemployment insurance according to the Insurance Law.
Annual health check- up at a reputable hospital.

Rich amenities

Foosball table for after work hours
Celebrate birthdays for employees every month
Free tea and coffee at the company&039;s pantry
Organize monthly T.G.I.F meals,
Free use of all types of valuable books at the company&039;s bookshelf.
Organize meals once a quarter
Music gift program

Startup culture

Focus on work efficiency instead of process
Flexible working hours: remote work, late hours...
A proactive, creative, flexible, professional, and start- up working environment

Sponsor courses, get certificates, improve professional skillsOrganize techday training sessions, share and exchange knowledge

Opportunity to learn & develop

Cập nhật gần nhất lúc: 2024-09-16 16:00:02

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Quy mô: 50 - 100
Trụ sở: 1 Toà nhà Viglacera Tower, Dai lo Thang Long, Nam Tu Liem, Ha Noi

Thông tin chung

Ngành nghề
IT phần mềm
Cấp bậc
Nhân Viên
Kinh nghiệm yêu cầu
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Trình độ yêu cầu
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Số lượng cần tuyển
Đang Cập Nhật
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Giới tính
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Hạn nộp hồ sơ
21/10/2024
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