Ai jobs in India

This role focuses on leading CCaaS (Cloud Contact Center as a Service) transformation programs, designing and implementing omni-channel contact center solutions integrated with AI, automation, and analytics to enhance customer experience and agent efficiency. It requires expertise in cloud platforms (Amazon Connect, Genesys, NICECXOne), conversational AI, and complex integrations.

As the Director, Business Operations Modernization (BOM) - India & APAC, you will lead and scale one of the most critical delivery engines of the company. Working in close partnership with the North America BOM Leader, you will drive the evolution of our BOM practice across the APAC region - powering AI-first, outcome-based delivery and building a globally integrated, high-performance team of ~1,000 professionals

The Delivery Head - Digital Practice role leads a $50-100M portfolio, ensuring delivery excellence and driving digital transformation through cloud, AI, and modern application solutions. It requires 18+ years of experience, strong leadership, and expertise in managing large teams, budgets, and complex technology programs aligned with business goals.

As Chief Technology Officer (CTO), you will define and execute the long-term technology vision, driving innovation across AI/ML, IoT, and cloud-native platforms. This role offers the opportunity to build teams, create scalable architectures, and shape the future of intelligent mobility solutions.

We are looking for a driven Account Executive to join our fast-growing team and help accelerate adoption of our intelligent document processing platform. You will own the full sales cycle-from prospecting and qualification to demos, negotiation, and closing. If you thrive in a high-ownership environment and want to sell a category-defining, AI-powered product, this role is for you.

As a Customer Support Specialist, you will be the first point of contact for users who depend on our system in fast-paced and time-sensitive environments. You will handle inquiries, troubleshoot technical issues, guide clients through product features, and ensure they receive timely, clear, and effective solutions. Your work will directly support high-profile productions and help clients maximize the value of our AI-powered tools.

The client is seeking a dynamic Digital Analytics Leader to shape its global digital future by building and driving digital analytics and AI practices, delivering insights, and enabling enterprise-wide automation. The role will leverage current and emerging technologies to transform client's business, driving intelligent automation solutions and shaping the AI/ML, analytics, and reporting strategy.

Our client is a Venture Capital fund which invests in early stage companies in the Technology/AI sector. They are currently looking to add an Investment Associate to their team based in Mumbai.

As a Data Scientist/Senior Data Scientist, you will develop advanced NLP algorithms to improve accuracy, efficiency, and cost-effectiveness in AI-driven solutions. Your work will leverage structured and unstructured data to transform client services through cutting-edge machine learning.

• Looking for a visionary and hands-on Head of Design to lead the design function.
• This role blends creative leadership with strategic thinking, requiring deep expertise in UI/UX, interaction design, and modern tools like Figma and AI-driven platforms.

A fast-growing company at the forefront of AI in finance is looking for a professional to analyze financial data, interpret financial statements, and assess company debt positions using global accounting standards. The role offers exposure to innovative technologies, career growth opportunities, and collaboration with experienced industry leaders.

This is a high-impact role where you will own our visual identity, starting with a complete overhaul of the client's website. Your work will directly shape the brand is perceived by Fortune 500 enterprises and the broader AI ecosystem.

Data Scientist (IT)Position:

Data ScientistJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in Statistics, Operation Research, Computer Science, Data Science OR related quantitative fieldJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:



§ 5+ years in developing and implementing forecasting models

§ [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration)

§ [Mandatory] Proven expertise in time series analysis, regression analysis, and other statistical modelling techniques

§ [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)

§ [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.

§ [Mandatory] Strong programming & analysis skills with Python and SQL, including experience with relevant forecasting packages

§ [Mandatory] Prior experience on Data Science & ML Engineering on Google Cloud

§ [Mandatory] Proficiency in version control systems such as GitHub

§ [Mandatory] Strong organizational capabilities; and ability to work in a matrix/ multidisciplinary team

§ [Mandatory] Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audience

§ Experience in Beauty or Retail/FMCG industry is preferred

§ Experience in handling large volume of data (>100 GB)

§ Experience in delivering AI-ML projects using Agile methodologies is preferred

§ Proven ability to work proactively and independently to address product requirements and design optimal solutionsJob objectives:

Design, develop, implement, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with cross-functional teams to leverage statistical modeling, machine learning, and data mining techniques to improve forecast accuracy and aid strategic decision-making across the organization. Scale the proven AI-ML Product across the SAPMENA region.Job description:§ Deep understanding of business/functional needs, problem statements and objectives/success criteria

§ Develop and maintain sophisticated statistical forecasting models, incorporating factors such as seasonality, promotions, media, traffic and other economic indicators

§ Collaborate with internal and external stakeholders including business, data scientists & product team to understand the business and product needs and translate them into actionable data-driven solutions

§ Review MVP implementations, provide recommendations and ensure Data Science best practices and guidelines are followed

§ Evaluate and compare the performance of different forecasting models, recommending optimal approaches for various business scenarios

§ Analyze large and complex datasets to identify patterns, insights, and potential risks and opportunities

§ Communicate forecasting results and insights to both technical and non-technical audiences through clear visualizations and presentations

§ Stay up to date with the latest advancements in forecasting techniques and technologies, continuously seeking opportunities for improvement

§ Contribute to the development of a robust data infrastructure for AI-ML solutions, ensuring data quality and accessibility

§ Collaborate with other data scientists and engineers to build and deploy scalable AI-ML solutions

Key Responsibilities:

• Lead and manage a technical team to deliver end-to-end solutions for complex projects.
• Oversee the entire project lifecycle, from requirement gathering to deployment and post-implementation support.
• Collaborate with stakeholders to understand business needs and translate them into technical solutions.
• Ensure timely delivery of projects by setting clear goals, monitoring progress, and addressing roadblocks.
• Mentor and guide team members, fostering a culture of continuous learning and improvement.
• Conduct technical reviews and quality assurance to ensure solutions meet functional and technical standards.
• Manage budgets, resources, and timelines to optimize project outcomes.
• Stay updated on industry trends and emerging technologies to recommend innovative solutions.
• Act as a bridge between technical and functional teams, ensuring seamless communication and alignment.

Required Skills and Qualifications:

• 10+ years of experience in a techno-functional role, with a proven track record of managing technical teams.
• Strong leadership and people management skills, with the ability to inspire and motivate teams.
• In-depth knowledge of software development life cycle (SDLC) and agile methodologies.
• Expertise in managing end-to-end delivery of technical projects, ensuring quality and efficiency.
• Proficiency in programming languages such as Java, Python, or C#, and experience with relevant frameworks.
• Strong understanding of database management, cloud technologies, and DevOps practices.
• Excellent problem-solving skills with the ability to make data-driven decisions.
• Strong communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Knowledge of Logistics Domain for Airline & Shipping

Preferred Skills:

• Experience in industries such as finance, healthcare, or e-commerce.
• Familiarity with AI/ML technologies and their application in business solutions.
• Knowledge of project management tools like JIRA, Trello, or MS Project.

Position:

ML EngineerJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:

• 5+ years in developing and deploying enterprise-scale ML solutions
• [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
• [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
• [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
• [Mandatory] Prior experience on MLOps with Kubeflow or TFX
• [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
• [Mandatory] Advanced programming skills with Python and SQL
• [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
• [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
• [Mandatory] Proficiency in version control systems such as GitHub
• Experience with feature engineering optimization and ML model fine tuning is preferred
• Google Cloud Machine Learning certifications will be a big plus
• Experience in Beauty or Retail/FMCG industry is preferred
• Experience in training with large volume of data (>100 GB)
• Experience in delivering AI-ML projects using Agile methodologies is preferred
• Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
• Proven ability to work proactively and independently to address product requirements and design optimal solutions
• Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

Job objectives:

Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:

• Deep understanding of business/functional needs, problem statements and objectives/success criteria
• Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
• Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
• Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
• Act as 'Owner' of end-to-end machine learning systems and their scaling
• Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
• Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
• Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
• Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops