AI Senior Programmer

Job Description

Title: AI Senior Programmer

Company Name: Sysnova Information Systems

Vacancy: --

Location: Dhaka (Dhanmondi)

Minimum Salary: Negotiable

Experience:
∎ 5 to 7 years

Published: 24 Nov 2024

Education:
∎ B.Sc. or Master's in Computer Science, AI, Machine Learning, or related field.
∎ B.Sc. or Master's in Computer Science, AI, Machine Learning, or related field.

Requirements:

Additional Requirements:
∎ More than 5 years of experience in AI, including more than 2 years of experience in a leadership role.
∎ Proven experience leading large AI projects from research to development.
∎ Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming (e.g., Python).
∎ Experience with cloud platforms like AWS, Azure, or Google Cloud.
∎ Strong knowledge of deep learning, reinforcement learning, computer vision, and NLP.
∎ Excellent team leadership skills and experience growing high-performance teams.
∎ Ability to explain complex technical concepts to both technical and non-technical audiences.
∎ Experience with large datasets and distributed systems for training and inference.
∎ More than 5 years of experience in AI, including more than 2 years of experience in a leadership role.
∎ Proven experience leading large AI projects from research to development.
∎ Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming (e.g., Python).
∎ Experience with cloud platforms like AWS, Azure, or Google Cloud.
∎ Strong knowledge of deep learning, reinforcement learning, computer vision, and NLP.
∎ Excellent team leadership skills and experience growing high-performance teams.
∎ Ability to explain complex technical concepts to both technical and non-technical audiences.
∎ Experience with large datasets and distributed systems for training and inference.

Responsibilities & Context:
∎ Develop and implement the AI strategy to align with business goals.
∎ Lead AI research to create innovative and scalable solutions.
∎ Build, mentor, and lead a team of machine learning engineers and data scientists.
∎ Work with product, engineering, and operations teams to use AI to improve products and processes.
∎ Design and deploy machine learning models for computer vision, NLP, reinforcement learning, and more.
∎ Set technical standards and best practices for AI and ML development.
∎ Present AI initiatives and results to leadership, providing insights on business impact.
∎ Use machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn.
∎ Deploy AI services using cloud platforms like AWS, Azure, or Google Cloud.
∎ Use distributed training strategies on GPUs for deep learning models.
∎ Use data engineering tools like Apache Spark and Kafka for data pipelines.
∎ Use Docker and Kubernetes for scalability and reproducibility.
∎ Use Git for version control and team collaboration.
∎ Track project progress with tools like JIRA and Confluence.
∎ Apply MLOps practices for model deployment, monitoring, and optimization.
∎ Develop and implement the AI strategy to align with business goals.
∎ Lead AI research to create innovative and scalable solutions.
∎ Build, mentor, and lead a team of machine learning engineers and data scientists.
∎ Work with product, engineering, and operations teams to use AI to improve products and processes.
∎ Design and deploy machine learning models for computer vision, NLP, reinforcement learning, and more.
∎ Set technical standards and best practices for AI and ML development.
∎ Present AI initiatives and results to leadership, providing insights on business impact.
∎ Use machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn.
∎ Deploy AI services using cloud platforms like AWS, Azure, or Google Cloud.
∎ Use distributed training strategies on GPUs for deep learning models.
∎ Use data engineering tools like Apache Spark and Kafka for data pipelines.
∎ Use Docker and Kubernetes for scalability and reproducibility.
∎ Use Git for version control and team collaboration.
∎ Track project progress with tools like JIRA and Confluence.
∎ Apply MLOps practices for model deployment, monitoring, and optimization.

Compensation & Other Benefits:
∎ Competitive pay, equity, benefits, and growth opportunities.
∎ Competitive pay, equity, benefits, and growth opportunities.

Workplace:
∎ Work at office

Employment Status: Full Time

Job Location: Dhaka (Dhanmondi)

Company Information:
∎ Sysnova Information Systems
∎ House # 35, Road # 2, Dhanmondi, Dhaka-1205
∎ Sysnova Information Systems Limited is the leading open source ERP implementation company of Bangladesh and a sister concern of Kazi Farms Group.

Address::
∎ House # 35, Road # 2, Dhanmondi, Dhaka-1205
∎ Sysnova Information Systems Limited is the leading open source ERP implementation company of Bangladesh and a sister concern of Kazi Farms Group.

Read Before Apply: Please apply only who are fulfilling all the requirements of this job

Application Deadline: 7 Dec 2024

Category: IT/Telecommunication

Interested By University

University Percentage (%)
Rajshahi University of Engineering & Technology 7.50%
Jahangirnagar University 5.00%
5.00%
Indian Institute of Technology, Kharagpur 5.00%
BRAC UNIVERSITY 2.50%
Liverpool University 2.50%
University of Rajshahi 2.50%
Mid Sweden University 2.50%
Green University of Bangladesh 2.50%
Chattogram University of Engineering and Technology 2.50%

Interested By Age Range

Age Range Percentage (%)
20-30 72.50%
31-35 12.50%
36-40 2.50%
40+ 10.00%

Interested By Salary Range

Salary Range Percentage (%)
0-20K 17.95%
20K-30K 5.13%
30K-40K 10.26%
40K-50K 5.13%
50K+ 61.54%

Interested By Experience Range

Experience Range Percentage (%)
0 years (Freshers) 35.00%
0.1 - 1 years 7.50%
1.1 - 3 years 22.50%
3.1 - 5 years 12.50%
5+ years 22.50%

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