Genetic Callnet Consultancy Pvt Ltd.
Website:
geneticcallnet.com
Job details:
We're Hiring | AI/ML Architect
We are looking for experienced AI/ML Architects to lead the design and delivery of enterprise AI/ML, Generative AI and Agentic AI solutions.
If you enjoy combining hands-on engineering with solution architecture, technical leadership and solving complex business challenges, we'd love to hear from you.
Role Details
- Experience: 10–12 Years
- Location: Mumbai – Lower Parel, BKC, Malad or Kalina-Santacruz
- Work Mode: Onsite | 5 Days a Week
Key Responsibilities
- Own end-to-end architecture and technical delivery of enterprise AI/ML and Agentic AI solutions.
- Translate solution designs into scalable, secure and production-ready applications.
- Lead engineering teams, conduct design and code reviews, and ensure quality across implementation and deployment.
- Drive LLM, RAG, vector database, model training, fine-tuning and AI orchestration initiatives.
- Establish MLOps/LLMOps practices, deployment pipelines, monitoring and AI governance.
- Work closely with clients, data science teams and business stakeholders to deliver enterprise-grade solutions.
Technical Skills Required
- Strong hands-on programming expertise in Python.
- Strong understanding of AI/ML architecture, LLMs, Generative AI, RAG and Agentic AI.
- Experience with PyTorch, TensorFlow or Scikit-learn.
- Familiarity with vector databases such as Pinecone, Qdrant or Weaviate.
- Experience with frameworks such as LangChain, LangGraph, AutoGen or CrewAI.
- MLOps/LLMOps exposure to tools such as MLflow, Kubeflow, KServe or Argo.
- Cloud experience across GCP (Vertex AI, BigQuery) and/or Azure (Azure ML, Azure OpenAI).
- Working knowledge of Docker, Kubernetes and data pipeline tools such as Spark or Airflow.
Ideal Candidate
We'd love to connect with professionals who:
- Have 10+ years of experience in software engineering or architecture, with at least 5 years in applied AI/ML.
- Have successfully designed and deployed AI/ML solutions in production environments.
- Can balance hands-on technical expertise with architecture ownership and team leadership.
- Have experience delivering enterprise AI solutions and engaging directly with clients.
- Understand scalability, security, responsible AI, governance and enterprise integration.
Good to Have: Experience with multi-agent AI systems, AI observability platforms (Arize, Fiddler, TruEra) and enterprise AI governance.
Interested?
If building next-generation enterprise AI solutions excites you, we'd love to connect!
Share your profile or reach out directly to discuss the opportunity.
Must have Skills
AI Architecture | Artificial Intelligence | Machine Learning | LLM | Python | RAG | Vector Databases | Agentic AI | LangChain | LangGraph | MLOps | LLMOps | GCP | Azure | Docker | Kubernetes
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