Technical Architect - ML
Prodapt
We do not know your resume yet
Upload your resume to unlock your actual match score and identify important JD keywords before applying.
Recruiters may search these ATS Keywords in your resume
Keywords
Job Description
We are seeking a seasoned **Technical Architect specializing in Machine Learning and Artificial Intelligence** to lead the design, architecture, and implementation of large-scale, production-grade AI/ML systems. This role combines deep technical expertise with strategic vision to build scalable, reliable, and ethical AI solutions that drive business impact.
Responsibilities
Roles & Responsibilities
- Define and own the end-to-end technical architecture for AI/ML platforms and products (from data ingestion to model serving and monitoring).
- Lead the design of scalable ML pipelines, MLOps frameworks, and generative AI / LLM-based systems.
- Architect cloud-native AI solutions (AWS SageMaker, GCP Vertex AI, Azure ML, or multi-cloud setups).
- Evaluate and select appropriate algorithms, frameworks, and tools (e.g., PyTorch, TensorFlow, JAX, LangChain, LlamaIndex, Ray, Kubeflow, MLflow, etc.).
- Design systems for large-scale model training/inference (distributed training, model parallelism, quantization, efficient serving with Triton, vLLM, TGI, etc.).
- Establish best practices for Responsible AI - fairness, explainability (SHAP, LIME), bias mitigation, privacy (federated learning, differential privacy), and security.
- Build and govern enterprise MLOps platforms including feature stores, model registries, CI/CD for ML, experiment tracking, and observability.
- Collaborate with data engineers, ML engineers, software engineers, and product teams to translate business requirements into robust technical solutions.
- Drive proof-of-concepts (PoCs) and spike solutions for emerging technologies (LLMs, multimodal models, agentic systems, retrieval-augmented generation, etc.).
- Mentor senior ML engineers and architects; set technical standards and conduct architecture reviews.
- Stay ahead of the latest research and productionize cutting-edge techniques when they add clear business value.
Technical Expertise
- 12+ years of software engineering experience with at least 6+ years focused on designing and deploying production ML/AI systems at scale.
- Expert-level proficiency in Python and ML frameworks (PyTorch / TensorFlow / JAX).
- Hands-on experience building and deploying Large Language Models (fine-tuning, instruction tuning, RLHF, quantization, LoRA/QLoRA, inference optimization).
- Deep knowledge of MLOps tools and platforms (Kubeflow, MLflow, Airflow, Dagster, Flyte, Metaflow, ZenML, etc.).
- Strong understanding of distributed systems, microservices, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, Pulumi).
- Experience with vector databases (Pinecone, Weaviate, Milvus, Qdrant) and RAG architectures.
- Proven track record of designing feature stores (Feast, Tecton), online/offline inference systems, and model monitoring solutions.
- Expertise in cloud platforms (AWS, GCP, Azure) and their managed ML services.
- Demonstrated ability to lead cross-functional technical teams and influence architecture decisions at the executive level.
- Excellent communication skills - capable of explaining complex ML concepts to non-technical stakeholders.
- Experience defining AI roadmaps and presenting to C-level executives.
- Contributions to open-source ML projects.
- Knowledge of enterprise data platforms (Snowflake, Databricks, BigQuery).
About The Company
Prodapt
Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider across North America, Europe and Latin America. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world. Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. Prodapt designs, configures, and operates solutions across their digital landscape, network infrastructure, and business operations – and craft experiences that delight their customers. Today, Prodapt’s clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally.
How to Apply Better for This Job
This section explains the correct next step without forcing sign-in immediately.
Check ATS score before applying
Scan your resume for ATS readability, formatting issues, missing sections, weak keywords, and content gaps.
Customize your resume for this JD
Match your resume with the job description and add c , ai , aws , gcp , azure , keywords where they fit naturally.
Find similar jobs too
Do not depend on one opening. Use your resume to find similar frontend jobs across relevant job platforms.
Ready with your customized resume?
Once your resume includes the right skills and is ATS-friendly, you can apply directly on the source platform.
Market Insights:Best AI/ML Solution Specialist Jobs in India
Find the latest AI/ML Solution Specialist jobs across top Indian cities. Compare job counts by location and apply where hiring demand is higher.