Posted:1 day ago|
Platform:
On-site
Full Time
Role Summary
Lead multi-cloud AI, data & analytics programs from pre-sales through production, ensuring on-time, high-quality delivery while nurturing innovation and strong customer relationships.
Key Responsibilities
1. Delivery Leadership:
Plan, track and deliver AI/ML projects (from PoCs to enterprise scale) across AWS, GCP and Azure; manage scope, budget, risk and quality etc.
2. Technical Oversight:
Guide teams building NLP, deep-learning, and generative-AI solutions; review architectures, data pipelines and visual-analytics layers. Enforce MLOps, CI/CD, security and compliance standards for production deployments.
3. Pre-Sales & RFPs:
Shape solution strategy, effort estimates and pricing; craft compelling RFP/RFI responses and present to executive stakeholders.
4. Stakeholder Management:
Serve as single point of contact for clients; run steering-committee meetings, demos; escalate and resolve issues swiftly.
5. Innovation & Best Practice:
Champion reusable assets, technical accelerators and design patterns
6. People Leadership:
Mentor cross-functional teams (data engineers, ML engineers, scientists, DevOps) and foster a culture of continuous learning.
Qualifications
1. Experience: 10 to 15 years in data/AI delivery, including 3+ years as delivery/engagement manager.
2. Cloud: Proven hands-on leadership of production workloads on AWS, GCP and Azure.
3. AI/ML: Track record with NLP, deep learning, GenAI/LLM pipelines; comfortable guiding feature engineering and model fine-tuning.
4. Data & Analytics: Solid grounding in batch/stream data engineering (Spark, BigQuery, Redshift, Synapse); BI / visualization (Looker, Power BI, Tableau).
5. RFP & Pre-Sales: Authored or reviewed winning proposals >$1 M; confident presenter.
6. Education: Bachelor’s in CS, Engineering or similar; Master’s/MBA desirable; relevant cloud & ML certs (e.g., AWS SA-Pro, GCP PM, Azure AI) preferred.
Core Competencies
1. Client-facing communication & storytelling.
2. Analytical problem-solving to unblock teams to deliver
3. Ability to juggle multiple deliveries with ease
4. Learn and motivate teams to learn & implement the latest AI trends, tools, frameworks
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