GEN AI Senior Manager

Tredence Inc.; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tredence Inc. is seeking a seasoned Data Science leader to drive GenAI, ML, and analytics solution delivery. The Senior Manager will guide project teams, manage client engagements, and deliver high-impact AI/ML solutions—especially GenAI-driven transformation programs.

This role balances deep technical know-how with delivery leadership and strong stakeholder communication to ensure scalable, ROI-focused AI programs across domains.

Qualifications

• 12–16 years of overall Data Science/AI/ML experience.
• 3–5 years in Generative AI.
• Strong experience delivering AI/ML projects for clients.
• Proficient in Python and ML frameworks; NLP libraries.
• Experience deploying models on AWS/Azure/GCP.
• Excellent communication and stakeholder management.

Responsibilities

• Lead end-to-end GenAI and ML projects across multiple domains.
• Manage client engagements, timelines, risks, and quality.
• Provide technical leadership on GenAI architectures and evaluation.
• Mentor data scientists and ML engineers on best practices.
• Contribute to GenAI roadmap, accelerators, and pre-sales support.

Skills

Data Science

AI/ML

Generative AI

Team Leadership

Client Engagement

Delivery Management

Stakeholder Management

Project Delivery

Communication

GenAI architectures

Education

Master's degree in CS/AI/DS

Tools

TensorFlow

PyTorch

LLM tooling

OpenAI API

Vector databases

Job description

We are looking for a seasoned Data Science leader with strong experience in Generative AI, machine learning, and analytics solution delivery. The Senior Manager will be responsible for leading project teams, managing client engagements, and delivering high-impact AI/ML solutions—especially GenAI-driven transformation programs. This role requires someone who can balance technical depth with strong delivery management and stakeholder communication skills.

Key Responsibilities

1. Project & Delivery Management

• Lead end-to-end delivery of GenAI and ML/AI projects across multiple domains.
• Manage project scope, timelines, risks, and quality assurance.
• Ensure solutions meet client expectations and business objectives.
• Collaborate with cross-functional teams—engineering, product, cloud, and business.
• Drive implementation of best practices, delivery frameworks, and standard operating procedures for AI projects.

2. Technical Leadership

• Provide thought leadership and architectural guidance on GenAI, LLMs, NLP, machine learning, and data science methodologies.
• Oversee development of models using transformers, LLM fine-tuning, RAG pipelines, prompt engineering, and model evaluation.
• Guide teams in building scalable production-grade AI systems.
• Stay updated with advancements in Generative AI, embeddings, model optimization, and multi-agent frameworks.

3. Team Management

• Lead and mentor a team of data scientists, ML engineers, and analysts.
• Drive capability building through training, technical sessions, and hands‑on guidance.
• Perform performance evaluations and support career growth of team members.

4. Client & Stakeholder Management

• Engage directly with senior client stakeholders to understand business problems and translate them into AI solutions.
• Present proposals, PoCs, and solution architectures.
• Manage expectations, communicate progress, and ensure smooth delivery.

5. Business & Strategy

• Contribute to developing the GenAI roadmap and reusable solution accelerators.
• Support pre-sales activities, RFP responses, estimations, and solutioning.
• Identify opportunities to expand accounts and demonstrate ROI through AI initiatives.

Required Skills & Qualifications

• 12–16 years of overall experience in Data Science / AI / ML, with at least 3–5 years in Generative AI.
• Strong experience delivering AI/ML projects in a client-facing and leadership capacity.
• Hands‑on expertise with transformer models, LLMs (OpenAI, Claude, Llama, etc.), RAG, fine‑tuning, and generative modeling techniques.
• Strong understanding of Python, ML frameworks (TensorFlow/PyTorch), NLP libraries, vector databases, and MLOps pipelines.
• Experience deploying models on cloud platforms (AWS/Azure/GCP).
• Excellent communication, stakeholder management, and presentation skills.
• Proven track record of leading teams and managing large-scale delivery engagements.

Preferred Qualifications

• Master’s degree in Computer Science, Data Science, AI, or related fields.
• Experience in consulting or professional services environment.
• Familiarity with enterprise-grade AI governance, security, and compliance frameworks.