Artificial Intelligence / Machine Learning Developer - NLP / Deep Learning

We are hiring AI / ML engineer for Ahmedabad, Pune and Gandhinagar location.

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.

ref : hirist.tech)