All roles Machine Learning·Bangalore, IN BHIVE Workspace, AKR Tech Park (Kudlu Gate)

Full time

Hybrid·5+ years (production ML deployment) ML Engineer Mid–Senior Own the matching, ranking and similarity models powering autonomous entity resolution — and the MLOps that keep them honest at 10M+ records / day.

Entity

ResolutionRankingEmbeddingsMLOpsPyTorch Team Machine Learning Location Bangalore, IN BHIVE Workspace, AKR Tech Park (Kudlu Gate) Experience 5+ years (production ML deployment) Tech stack PyTorch

Hugging Face

Spark

Databricks

Snowflake

MLflow

W&B;

DVC

LoRA

QLoRA

PEFT

AWS SageMaker

GCP Vertex AI Apply for this role What you’ll do 01 Build and operate matching, ranking and classification models at scale

02 Design robust feature pipelines on streaming + batch data (Spark, Databricks)

03 Train and serve embedding models for high-recall blocking and similarity scoring

04 Implement explainable score-calibration and confidence-thresholding for steward workflows

05 Build MLOps infrastructure: experiment tracking, model registry, automated evaluation, deploy pipelines





06 Establish drift detection and continuous-evaluation to surface degradation before customers do

07 Collaborate with the AI Engineer on retrieval quality and rerankers

08 Partner with Data Engineering on data contracts and quality What we’re looking for → 5+ years building and operating ML systems in production

→ Strong PyTorch skills — training, fine-tuning and inference optimisation

→ Hands-on experience with one or more of: Spark, Flink, Ray, Databricks, Snowflake

→ Comfortable with SQL at scale and the Python ML stack

→ Strong fundamentals in supervised ML, evaluation metrics and experimentation

→ Proficiency with Hugging Face Transformers, PEFT, Datasets, Evaluate

→ Working knowledge of MLOps: MLflow, Weights & Biases, DVC or equivalent

→ Practical experience with model optimisation: quantisation, distillation, batched inference Nice to have + MDM / entity-resolution domain experience

+ Graph ML or recommendation-system background

+ Experience deploying models on AWS SageMaker, GCP Vertex AI or equivalent

📌 ML Engineer · Mid–Senior (Anekal)
🏢 Think Right Advisory Services
📍 Anekal