
Responsibilities:
- Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
- Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
- Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
- Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
- Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.
Requirements:
- 3+ years of hands-on experience in developing and managing machine learning or data platforms
- Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
- Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
- Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
- Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.

About Accrete
About
Accrete AI delivers universally configurable, reliable, and accurate analytical AI agents that perform work that would otherwise require teams of experts and generate insights beyond human capacity.
Our vision is to create a path to ethical, reliable, and trustworthy artificial general intelligence by deploying analytical AI agents across every domain that capture and scale tacit domain knowledge and create net new knowledge reasoned from ground truth. Our mission is to enable our customers to grow in previously unimaginable ways.
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We’re on a mission to build the best-in-class AI Agents that do complex analytical work, compound knowledge, and generate predictive insight beyond human capacity.
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- UNet, Mask R-CNN (Segmentation)
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We are seeking a dynamic and enthusiastic Sales Executive to support our business development efforts in the secure logistics and asset tracking sector. This role is ideal for someone early in their career, eager to learn, and ready to grow with an innovative tech-driven company.
Key Responsibilities:
- Assist in generating and following up on sales leads
- Support field and B2B client sales for logistics security solutions
- Build and maintain strong client and partner relationships
- Collaborate with technical and operations teams for custom requirements
- Maintain CRM records and sales documentation
Desired Skills & Attributes:
- Good communication and interpersonal skills
- Basic knowledge of electronics/IoT systems is a plus
- Willingness to travel if required
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Candidates from Transport and logistics shall be preferred
We welcome aspiring Electronics Diploma students OR Fresh Graduates (UG/PG) or Final Year Students in any stream for a 6-month hands-on internship in the field of tech-enabled sales and smart logistics solutions. Interns will gain real-world experience in lead generation, client interactions, and supporting the sales cycle for our IoT-based tracking products and services.
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3. Data Collection and OSINT: Assist in gathering and analyzing data using Open Source Intelligence (OSINT) methodologies. You will help collect relevant information to support ongoing threat investigations.
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Problem-Solving and Adaptability: A proactive attitude with strong problem-solving skills. You should be comfortable learning in a fast-paced and dynamic environment.
Additional Skills:
Interest in Cybersecurity Challenges: Participation in bug bounty programs, Capture The Flag (CTF) challenges, or cybersecurity competitions is a plus.
Willingness to Learn: A keen interest in developing skills in threat intelligence, threat actor profiling, and behavioral analysis.
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Excellent problem solving and analytical skills - ability to develop hypotheses,
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Strong communication skills with the ability to confidently work with cross-
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organization.
Intellectual and analytical curiosity - initiative to dig into the why, what & how.
Strong number crunching and quantitative skills.
Advanced knowledge of MS Excel and PowerPoint.
Good hands on SQL
Experience with in Google Analytics, Optimize, Tag Manager and other Google Suite tools
Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus
Inherent interest in e-commerce & marketplace technology platforms and
broadly in the consumer Internet & mobile space.
Previous experience of 1+ years working in a product company in
a product analytics role
Strong understanding of building and interpreting product funnels.
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