ML Engineer II, Generalist
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)