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Senior AI/ML Engineer - Tensorflow/PyTorch

Artmac
Multiple Locations
5 - 12 Years

Posted on: 26/07/2025

Job Description

Who We Are :


Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description :


Job Title : Senior AI/ML Engineer.


Job Type : Full-Time.


Experience : 5-12 Years.

Location : Remote.

Responsibilities :


- Strong programming skills in Python, Java, SpringBoot, or Scala.

- Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM.

- Familiarity with information retrieval techniques (BM25, vector search, learning to rank).

- Knowledge of embedding models, user/item vectorization, or session based personalization.

- Experience with large scale distributed systems (e.g., Spark, Kafka, Kubernetes).

- Hands on experience with real time ML systems.

- Background in NLP, graph neural networks, or sequence modeling.

- Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR.

- Hands on experience in analyzing the various data and building data modeling and pipeline leveraging BigQuery data streaming or Databricks in near real time.

- Experience in Apache Spark, Airflow.

- Develop real time and batch ML models using embeddings, collaborative filtering, and deep learning.

- Integrate user behavior signals, session data, and content metadata to optimize relevance.

- Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval augmented generation (RAG), fine tuning / pre training LLM (including parameter efficient fine tuning), Deep reinforcement learning and evaluation benchmarks.

- Collaborate cross functionally with product, data, and infra teams to deploy experiments and measure impact.

- Optimize retrieval, filtering, and ranking algorithms in production search pipelines.

- Real time Personalization using query Embeddings for Search Ranking.

- Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics.

- Experience in MLOps and model governance.

- Strong analytical and quantitative problem solving ability.

- Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities.

Qualifications.

- Bachelor's degree in Computer Science or related field.


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