Data Science and Machine Learning Specialist

Job highlights

• . Education Required: . Bachelors Degree
• Skills Required: . Data Science Machine Learning,Agentic AI,GCP
• Skills Preferred: . AI
• Experience Required: .
• Experience Preferred: . Adept in AI Agent adoption
• Specialist Exp: 5+ experience in relevant field

Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place - one that benefits lives, communities and the planet

Job Title: Data Science and Machine Learning Specialist

Location: Chennai

Work Type: Hybrid (4 Days work From Office)

Position Description:

• Employees in this job function apply data science, machine learning, advanced analytics, and Agentic AI to turn data into actionable insights and scalable solutions.
• They work closely with business and technology teams to understand real-world needs, develop and deploy intelligent systems, and measure their impact.
• Using a Forward Deployed Engineering (FDE) approach, they bring technical solutions closer to users and operational environments-adapting them to practical workflows, constraints, and outcomes.

Key Responsibilities:

• Partner with business stakeholders, product teams, and end users to understand problems, define success measures, and translate requirements into data science, machine learning, or AI solutions.
• Explore and prepare structured and unstructured datasets; assess data quality, identify relevant signals, and determine appropriate analytical methods and technologies.
• Design, develop, test, and deploy statistical models, machine learning algorithms, predictive and prescriptive analytics, and experiments to support data-driven decisions.
• Build and evaluate Agentic AI solutions, including agents and multi-agent workflows that can reason, use tools, retrieve information, and complete tasks under appropriate human oversight and safeguards.
• Apply FDE practices by working directly with users and operational teams to prototype, integrate, validate, and improve solutions in their real-world environments.
• Develop scalable and reliable data and AI workflows, including data ingestion, augmentation, feature engineering, model evaluation, orchestration, monitoring, and automation.
• Assess solutions for accuracy, robustness, security, privacy, fairness, explainability, and operational readiness; establish appropriate testing, monitoring, and human-in-the-loop controls.
• Communicate findings, model behavior, limitations, and recommendations clearly to technical and non-technical audiences, enabling informed decisions and responsible adoption.
• Stay current with advances in data science, machine learning, generative and Agentic AI, analytics platforms, and engineering practices; identify opportunities to improve solution quality, efficiency, and business value.

Skills Required:

• Data Science Machine Learning, Agentic AI, GCP

Skills Preferred:

• AI

Experience Required:

• Specialist Exp: 5+ experience in relevant field

Experience Preferred:

• Adept in AI Agent adoption

Education Required:

• Bachelors Degree

Additional Information :

• Build reusable analytics and AI capabilities across microservices and data products.
• Partner with data teams to ensure data quality, ownership, and trusted metrics.
• Choose the simplest effective approach-dashboards, analytics, ML, GenAI, or agents-for each business problem.
• Use AI tools to accelerate analysis and development, while validating their outputs.
• Integrate solutions into production workflows with engineering teams.
• Measure adoption, business impact, and ongoing model or agent performance.

TekWissen Group is an equal opportunity employer supporting workforce diversity.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.