Top Machine Learning Jobs in India

The role focuses on using machine learning and data analytics to extract insights from bank data, improve efficiency, and support decision-making processes.

The role involves data quality improvement, analysis of data issues, data transformation, and applying advanced analytics to enhance customer experiences. It requires leading teams, collaborating with stakeholders, and ensuring compliance with regulatory standards.

The Advanced Analytics & Reporting Analyst will analyze sales data, apply machine learning for insights, and provide reporting to enhance forecasting and revenue strategies.

The Staff Data Engineer will lead data engineering efforts, designing and optimizing complex data solutions using various technologies while collaborating with cross-functional teams.

The Senior Data & AI Product Manager leads strategy and execution for data solutions, focusing on customer needs and market research while collaborating with various teams.

The role involves leveraging data for product insights, leading sprints, monitoring product profitability, and collaborating with various teams to enhance products and customer experiences.

The Product Manager will guide product evolution at Assent through customer engagement, leading teams, managing product roadmaps, and implementing data-driven strategies.

Lead product vision and strategy for Experian's Fraud&ID and SaaS offerings, managing partnerships, regulatory compliance, and product lifecycle.

As an Applied AI ML Lead, you'll develop and deploy ML solutions in finance, focusing on LLMs and data processing pipelines, collaborating across teams, and communicating insights.

The Pre-Sales Consultant collaborates with sales and engineering teams to address customer pain points, present solutions, and ensure product fit, particularly within financial institutions.

Assist with AI-driven art projects and collaborate with the design team while learning about the game development process.

The intern will design and implement high-frequency trading algorithms, analyze market data for patterns, and develop tools for data analysis.

The Principal Solution Architect for HPC is responsible for technical architecture, customer optimization, and collaboration with internal teams and customers on HPC projects, emphasizing training, performance benchmarks, and application tuning.

The Solution Architect will lead technical strategy and delivery for IoT projects, managing client relations, and developing a technical team while overseeing implementation and analytics solutions.

Lead and manage a team to develop infrastructure and products for Databricks, ensuring high technical standards and career growth for engineers.

The Investigations Manager/Counsel will oversee forensic investigations into whistleblowing reports and breaches of conduct, ensure compliance with laws, and collaborate with regional teams.

Lead the data function at Leapwork by developing data strategy, overseeing data governance, infrastructure, and analytics to drive business growth using AI.

The developer will work in a machine learning team, focusing on developing AI solutions, maintaining Python libraries, participating in prompt engineering, and conducting performance analysis.

The role involves developing AI solutions for banking operations, collaborating with cross-functional teams, managing code lifecycle, and ensuring code quality in the AIML space.

The Data Modeler will design and implement data models, ensuring data quality, collaborating with stakeholders and engineers, and optimizing data performance.

As a Senior Business Analyst, you'll analyze complex problems, develop innovative client solutions, manage project execution, and drive business opportunities using data and analytical skills.

As a CRO Expert, you will use data-driven strategies to optimize user experience and conversion rates while crafting experiments and deriving actionable insights.

The Director of AI will define and lead innovative AI strategies across functions, manage AI R&D, and mentor teams to drive transformative results.

As a Senior Data Analyst, you will forecast case volumes, manage capacity, perform data analysis, and enhance operational performance while partnering with teams for customer experience improvements.

As a Machine Learning Advisor, you will leverage AI and ML to develop solutions for healthcare, focusing on LLMs and generative AI to transform products and services.