Description : Senior AI/ML Architect (Salesforce / Healthcare Domain)

Location : Coimbatore, TN, On-Site

Experience : 9+ years

Employment Type : Full-time

Compensation : Competitive + Benefits + Performance Bonus

About the Role :

- We are seeking a Senior AI/ML/DL Architect with deep expertise in designing, building, and deploying production-grade AI/ML systems.

- This role is central to our mission of creating impactful AI-driven solutions in the Healthcare and Salesforce domains.

- As a hands-on technical leader, you will own the end-to-end AI lifecycle from data ingestion, model training, and optimization to deployment, monitoring, and scaling.

- While the role is rooted in AI/ML/DL architecture, youll also have opportunities to expand into Generative AI and LLM-based systems.

- This is your chance to work on high-impact projects, shaping AI solutions that directly transform enterprises.

Key Responsibilities :

Architect & Deploy ML/DL Systems :

- Design and implement scalable ML pipelines : preprocessing, feature engineering, model training, evaluation, deployment.

- Engineer low-latency, high-throughput inference systems suitable for enterprise use cases.

Domain-Centric Solutioning :

- Healthcare AI : Architect HIPAA/FHIR-compliant workflows for EMR/EHR, clinical notes, imaging, and life sciences data.

- Salesforce AI : Build and integrate AI systems with Einstein 1 Platform, Apex, SOQL, Agentforce, Data Cloud, and MuleSoft APIs.

Model Optimization & Performance :

- Apply advanced ML/DL techniques : CNNs, RNNs, transformers, ensemble methods.

- Optimize models for speed, cost, and accuracy via quantization, distillation, pruning, and distributed training.

Infrastructure & MLOps :

- Build robust ML pipelines with CI/CD, Kubernetes, Docker, MLflow/Kubeflow, and Airflow.

- Deploy across AWS (SageMaker, Bedrock), Azure AI, or GCP Vertex AI with observability, telemetry, and drift detection.

- Implement scalable, compliant architectures meeting HIPAA/GDPR standards.

Future Growth into Generative AI (optional but encouraged) :

- Explore LLMs, RAG, fine-tuning (LoRA, QLoRA, PEFT) and orchestration frameworks (LangChain, LlamaIndex).

- Experiment with vector databases (Pinecone, FAISS, Milvus, Weviate) and hybrid retrieval pipelines.

Leadership & Mentorship :

- Write clean, production-grade Python (PyTorch, TensorFlow, Keras).

- Mentor engineers/data scientists, enforce coding & architectural best practices.

- Translate complex business challenges into scalable AI solutions.

What You Bring :

- Experience : 4 to 8+ years in AI/ML/DL engineering or architecture, with proven success delivering production-grade systems.

Core Technical Skills :

- Expert Python with PyTorch, TensorFlow, Keras.

- Strong knowledge of ML algorithms, DL architectures (transformers, attention models, CNNs, RNNs).

- Data pipelines, embeddings, ETL/ELT, real-time streaming.

Infrastructure :

- Cloud platforms (AWS, Azure, GCP).

- CI/CD, Kubernetes, Docker, MLOps pipelines (MLflow, Kubeflow, Airflow).

Domain Expertise (must have one, ideally both) :

- Healthcare : HIPAA/FHIR/HL7, EMR/EHR, clinical data, imaging.

- Salesforce : Einstein 1 Platform, Agentforce, Apex/Lightning, SOQL, Data Cloud, MuleSoft.

Nice-to-Have (Future Growth) : Exposure to Generative AI/LLMs and orchestration frameworks.

Soft Skills : Systems-level thinker, problem solver, strong communicator, collaborative leader.

Why Join Us :

- Hard, meaningful problems : Build AI systems that transform how enterprises in healthcare & Salesforce operate.

- Technical autonomy : Freedom to choose the right models, frameworks, and pipelines, ship what you believe in.

- A culture of builders : Join a team of elite engineers solving real world problems with cutting edge AI.

- Rewards that match impact : Competitive salary, and benefits that reward ambition.

- If you are a systems-level thinker and a world-class engineer ready to build the next generation of intelligent machines, apply now.

- Let's create the future together.