Interested candidate , Please share your interset to ju*********n@hc****h.com
Roles and Responsibilities
Bachelors or masters degree in Computer Science, Data Science, Machine Learning or related field
5+ years of experience in Data Science Roles
3+ years of experience in streaming data platforms such as Apache Kafka, Apache Flink, Spark Streaming, Kinesis
Deep understanding of LLM architectures, transformers, and vector databases Proficiency in programming languages like Python, and in deep learning frameworks like TensorFlow, PyTorch or Keras
Solid understanding of machine learning, deep learning, and statistical modeling concepts
Familiarity with RAG pipelines, knowledge graphs, and graph-based reasoning.
Proficiency in cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Experiences in monitoring, logging, and observability solutions (using tools like Prometheus, Grafana, or Datadog) to track AI services in production
Experienced in SQL, NoSQL, PostgreSQL databases
Experience with GPU-accelerated compute environments and AI-specific tools like NVIDIA Triton, Kubeflow, or MLFlow
Strong problem-solving skills
Ability to work effectively in agile, cross-functional teams
Strong written and verbal English communication skills (B2+)
Note : We are able to provide minimal hike from current CTC
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time