Data Scientist - Artificial Intelligence/Machine Learning (13-18 yrs)

We are looking for a visionary Director (Intelligence) with extensive experience in leading AI/ML initiatives, team leadership, and end-to-end product delivery. This role combines strategic leadership with deep technical expertise to drive the development of advanced AI solutions, such as Agent Assist, IVA, Chatbots, Conversational Intelligence, and Data Visualization. You will work at the intersection of cutting-edge technology and business strategy, managing high-performing teams to deliver scalable, high-value AI products.

Responsibilities :

- Vision and Strategy : Partner with leadership to define AI product visions, success metrics, and strategic initiatives.

- Roadmap Development : Shape the medium and long-term AI product roadmap, aligning technical capabilities with business objectives.

- Emerging Trends : Serve as a thought leader, identifying and championing the adoption of emerging AI/ML trends and technologies.

- AI/ML Model Development : Oversee the training, fine-tuning, and deployment of advanced AI models, including NLP, ASR, TTS, and generative AI systems.

- Product Innovation : Drive the design and implementation of core AI/ML features to support intelligent automation and conversational experiences.

- Resource Management : Strategically plan and allocate team resources to meet roadmap goals and manage dependencies effectively.

- Scalability : Architect scalable AI systems with high availability, low latency, and adherence to SLAs.

- Technical Guidance : Provide hands-on technical leadership, diving into architecture, code, and design while managing the broader product delivery.

- Team Performance : Build and sustain an engineering rhythm that fosters high performance, knowledge sharing, and smooth execution.

- MLOps & Infrastructure : Establish scalable infrastructure and automated pipelines for model training, deployment, and performance monitoring.

- Mentorship : Act as a coach and mentor to foster technical growth and career development for team members.

- Inclusive Culture : Build a fun, inclusive, and supportive work environment that aligns with company values and encourages collaboration.

- Exemplify Leadership Principles : Inspire the team by modeling resilience, learning from failures, and celebrating the success of others.

- Partnerships : Collaborate with product management, design, and business stakeholders to ensure AI solutions meet market and regulatory requirements.

- Communication : Translate complex technical strategies into clear, actionable insights for both technical and non-technical stakeholders.

Requirements :

Education : Master's degree in Applied Mathematics, Computer Science, or a related field.

- 10+ years in software engineering with expertise in AI/ML.

- Proven track record in leading teams to deliver AI products such as IVA, chatbots, or conversational intelligence.

- Hands-on experience with VoIP communications and real-time AI-driven solutions.

- Strong foundation in end-to-end AI product development and regulatory compliance.

- Demonstrated ability to evaluate and implement algorithmic solutions tailored to business use cases.

- Deep knowledge of NLP, machine learning, and deep learning frameworks (e. g., TensorFlow, PyTorch, Hugging Face).

- Experience deploying AI systems at scale using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).

- Expertise in optimization techniques like vLLM, quantization, and LoRA for high-performance inferencing.

- Proficiency in programming languages such as Python and experience building production-grade pipelines.

- MLOps Expertise : Advanced knowledge of CI/CD pipelines, monitoring tools (MLflow, Airflow), and distributed training frameworks.

- Scalable Training Infrastructure : Hands-on experience with GPU/TPU workloads and frameworks like Horovod or DeepSpeed.

- Generative AI Expertise : Experience designing Retrieval-Augmented Generation (RAG) systems and fine-tuning large language models for domain-specific applications.

- Strong people management and mentoring skills with a proven ability to build high-performing teams.

- Ability to measure team impact, set clear goals, and drive collaboration across functions.

- Exceptional problem-solving and decision-making skills in ambiguous, high-impact scenarios.