
AI Solutions Architect
1 day ago
We are seeking an experienced Data Science and Engineering professional to lead the design, development, and deployment of scalable machine learning solutions leveraging modern technologies and methodologies. The ideal candidate will play a critical role in operationalizing ML models and supporting advanced initiatives, including Generative AI (GenAI) projects.
Key Responsibilities- End-to-End ML Lifecycle Management:
- Generative AI Enablement:
- MLOps Pipelines:
- Model Performance Optimization:
- Collaboration:
- Monitoring and Maintenance:
- Data Engineering:
- Documentation:
- Research and Innovation:
- Bachelor's or higher degree in Computer Science, Mathematics, Engineering, or a related field with strong analytical and computational skills.
- At least 5 years of hands-on experience designing, building, and deploying ML applications in large-scale data environments.
- Technical Proficiency:
- Expertise in ML frameworks like TensorFlow, PyTorch, and HuggingFace, alongside GenAI technologies such as LLMs, GANs, and Transformer Architectures.
- Experience with flash attention, VectorDB, CUDA, and GraphDBs (e.g., Neo4j).
- Experience in building multi-agent systems using LangFlow.
- Skilled in capacity planning and designing scalable, efficient infrastructure.
- Strong programming skills in Python; additional languages are a plus.
- Proficiency with Big Data tools such as Hadoop, Spark, Kafka, and Elasticsearch.
- Experience with relational and NoSQL systems like HBase, MongoDB, and PostgreSQL.
- Knowledge of open data lakehouse architectures, including object storage solutions like MinIO, S3, and Iceberg.
- Deep understanding of model evaluation techniques and metrics.
- Hands-on experience with Kubeflow, Airflow, or equivalent for pipeline orchestration.
- Proficiency in AIOps, LLMOps, and MLOps(MLFlow) for streamlined AI/ML lifecycle management.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Experience in working with cloud platforms (Azure and GCP) and hybrid infrastructure.
- Proficiency in Linux systems and bash scripting.
- Experience with deep learning, and NLP techniques are plus.
- Experience with Big Data technologies such as Hadoop, Spark, Solr/Elastic Search, Nifi is a plus.
- Solid understanding of data pipelines, data wrangling, and feature engineering for ML models.
- Strong problem-solving abilities, attention to detail, and a collaborative mindset.
- Experience working in agile teams and delivering results in fast-paced environments.
- Knowledge of privacy, cybersecurity and model interpretability for AI governance.
We encourage candidates from diverse backgrounds to apply, regardless of their experience or qualifications. If you're excited about this role but your background doesn't exactly match the job description, we invite you to apply and discuss how your skills fit in.
What We OfferWe provide a range of benefits, including:
- Vflexy: Flexible Benefits Program
- Hybrid working kit
- Ergonomic kit allowance
- Employee assistance hotline & counselling
- Comprehensive and flexible private health insurance
- Discounted price deals for wide range of products & services
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