AI/ML Developer
India
Full Time
Experienced
Hello All,
Greetings from Starkflow!
We are currently hiring for a "AI/ML Developer" for a Full Time/Permanent role in Dubai.
Must have:
Greetings from Starkflow!
We are currently hiring for a "AI/ML Developer" for a Full Time/Permanent role in Dubai.
- Job Type: Full Time
- Job Title: AI/ML Developer
- Job Location: Dubai [We are looking out from candidates who can move to Dubai]
- Years of Experience: 5 to 8 Years
Must have:
- Candidate must be very good in research, expert in machine learning- reinforcement learning,
- Supervised and unsupervised learning, Random forest algorithms, Python Generative AI- LLAMA ( Model 1 and 2), NLP and Deep Learning, Agentic AI
- Good To have - Docker and Kubernetes
- Develop multi-agent AI frameworks geared toward container terminal operations and large-scale logistics optimization.
- Design and implement end-to-end ML pipelines, including data ingestion, feature engineering, and real-time model deployment.
- Optimize machine learning and deep learning algorithms for scheduling, resource allocation, and route planning in port environments.
- Research and evaluate emerging AI techniques (e.g., generative models) to identify potential improvements in logistics workflows.
- Collaborate with cross-functional teams to integrate AI solutions seamlessly into existing operational and IT infrastructures.
- Build and maintain robust data pipelines (data lakes, streaming frameworks) using Spark, Hadoop, and Kafka for large-scale data handling.
- Deploy AI solutions on both cloud platforms (AWS, GCP) and on-premises infrastructures, ensuring reliability, security, and compliance in high-volume environments.
- Implement and fine-tune optimization models and solvers (OR TOOLS, COIN OR, SCIP etc.) for complex port planning and container yard operations.
- Conduct in-depth research and prototyping in reinforcement learning, agent-based modeling, and specialized ML techniques.
- Apply reverse engineering methods to debug, interpret, and enhance existing ML models for continuous performance gains.
- Monitor and report key metrics (KPIs, ROI) to assess the effectiveness of AI-driven solutions in real-world operations.
- Enforce ethical and transparent AI usage by adhering to governance frameworks, version control, and regulatory guidelines.
- Contribute to industry events through technical presentations, research publications, and active knowledge sharing.
- Mentor and support developers on best practices for coding, model design, and efficient use of AI libraries.
- Use lean principles to streamline development processes, reduce technical debt, and boost solution maintainability.
- Integrate NLP and LLMs for customer service, documentation automation, and large-scale text analysis in logistics.
- Collaborate on system integrations to ensure end-to-end functionality of AI modules across port operations.
- Enable real-time intelligence for vessel scheduling, yard operations, and gate control using streaming data and on-the-fly analytics.
- Maintain comprehensive domain knowledge of port and terminal terminologies to align AI solutions with operational realities.
- Contribute technical insights to the organization’s digital transformation roadmap, supporting strategic AI initiatives.
- Align AI R&D initiatives with the organization’s strategic vision, monitoring long-term impacts of AI-driven innovations, and influencing the overall digital transformation roadmap in the port and shipping sector.
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