Senior AI/ML Architect (Salesforce / Healthcare Domain)
Location: Coimbatore, TN, On-Site
Experience: 4+ 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, you’ll 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, Weaviate) 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: 4–8+ 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.
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