On the hunt for an AI all-rounder to develop and ship machine vision models seamlessly!

Design and deploy end-to-end AI systems across diverse domains. Focus on advanced modeling techniques such as graph neural networks, relational learning, and temporal data analysis, while ensuring scalable, production-ready deployments through strong MLOps and DevOps practices.

KEY RESPONSIBILITIES

General responsibilities include:

• Develop ML models for classification, recommendation, NLP, and sequential/temporal data tasks.
• Implement Graph Neural Networks (PyTorch Geometric, DGL) and relational learning for structured/graph data.
• Apply time series modeling for forecasting, anomaly detection, and trend analysis.
• Build robust data pipelines for ingestion, preprocessing, and feature engineering.
• Deploy models using Docker, Kubernetes, and cloud AI services (AWS Sage Maker, Azure ML, GCP Vertex AI).
• Integrate APIs and microservices to embed AI into enterprise systems.
• Apply MLOps frameworks (MLflow, Weights & Biases) for monitoring, drift detection, and lifecycle management.
• Collaborate with product and engineering teams to translate business needs into AI solutions.

EXPERIENCE + QUALIFICATION

• Between 3-5 years of experience in applied ML/AI engineering.
• Strong Python skills; experience with PyTorch, TensorFlow, Hugging Face.
• Hands-on expertise with GNNs, relational learning, and time series modeling.
• Proficiency in SQL and data wrangling (Pandas, Spark, Dask).
• Experience deploying ML models in production with Docker/Kubernetes and cloud services.
• Familiarity with CI/CD pipelines, monitoring tools, and MLOps practices.
• Strong communication skills and ability to explain technical concepts to non-technical stakeholders.

NICE TO HAVES

• Experience with LLMs, embeddings, and retrieval-based systems.
• Knowledge of knowledge graphs (Neo4j, RDF, SPARQL).
• Exposure to multi-modal or generative models.
• Understanding of data governance, privacy, and ethical AI practices.

WORK DETAILS

This is a full-time position, where you’ll be working in a supportive, fast-paced environment with access to learning and development opportunities.

• Type: Full-time, onsite with some remote flexibility
• Schedule: Standard 8 hours, five-days engagement under contract
• Location: Acme AI Ltd, Level 5, House 385, Road 6, Mirpur DOHS, Dhaka 1216
• Salary: BDT 60,000-90,000 (offered based on experience and technical test-result)

BENEFITS

• Competitive salary based on experience
• Festival bonuses
• Access to company health fund (upon eligibility; since health and hospitalisation insurance sucks!)
• Quarterly profit-sharing (upon eligibility)

How to apply?

Please lodge your applications by filling out

this Google form . Application Deadline:

Considered on a rolling basis until 4 December 2025 at 11.59 PM