Job Description:

We are seeking an experienced AVP Data Scientist / ML Engineer to lead advanced analytics and machine learning initiatives for our US-based clients. In this leadership role, you will drive the design, development, and deployment of scalable AI/ML solutions that solve complex business challenges across domains such as finance, healthcare, retail, and technology. You will collaborate with cross-functional teams, mentor data professionals, and translate business requirements into impactful analytical solutions.

Technical Requirements:

The ideal candidate has strong expertise in machine learning, statistical modeling, predictive analytics, and data engineering, with hands-on experience in building production-ready ML models. You should be proficient in Python, SQL, cloud platforms (AWS, Azure, or GCP), and modern ML frameworks such as Scikit-learn, TensorFlow, or PyTorch. Experience with MLOps, model deployment, API integration, and big data technologies like Spark is highly desirable.

Key Responsibilities:

- Leading end-to-end data science projects.

- Developing predictive and prescriptive models.

- Optimizing model performance and ensuring data quality.

- Presenting actionable insights to business stakeholders.

- Collaborating with product, engineering, and client teams to deliver high-impact analytics solutions while maintaining best practices in model governance, documentation, and performance monitoring.

Candidate Profile:

- 812 years of experience in data science, machine learning, or analytics, with demonstrated success in client-facing engagements and team leadership.

- A strong understanding of statistical techniques, feature engineering, experimentation, NLP, or Generative AI will be an added advantage.

- Excellent communication, stakeholder management, and problem-solving skills are essential for success in this role.

Opportunity Overview:

This is an exciting opportunity to work with global clients, influence strategic business decisions through AI-driven insights, and lead high-performing analytics teams in a fast-paced, innovation-focused environment.