3,768 AI & Emerging Technologies jobs in India

Role Summary:

The Project Manager is a results-driven and innovative project leader within DataForce. The Project Manager is responsible for leading successful execution of the life cycle of a range of AI-Data projects, through the utilization of expertise and technical skills to manage project budgets, timelines, and quality requirements. The Project Manager has accountability for fostering professional client relationships, managing and coordinating external vendors, and leading and collaborating with cross-functional project teams and partners.

Role Responsibilities:

The Project Manager is ultimately responsible for the quality of work, profitability, and performance of their projects.

• Oversee all aspects of the management of projects from hand-off through project completion to ensure project success against defined KPIs
• Develop and maintain project plans, workflows, guidelines, and resource materials
• Provide effective analysis and reporting of project performance
• Track, monitor, and control project financial, timeline and quality performance
• Organize and deliver a Post Project Review
• Provide effective risk management through identification, escalation, mitigation, and effective resolution of issues
• Execute projects autonomously, while successfully coordinating with cross-functional project teams as required to procure required resources and support
• Serve as a primary point of contact for clients and both internal and external stakeholders
• Proactively identify opportunities, provide recommendations, and drive improvements to maximize operational efficiency and implement scalable solutions
• Establish, strengthen, and expand client relationships, support development of new business opportunities and overall profitable revenue growth
• Assist in the hiring process of new team members and train them
• Contribute to the development of the knowledge and capability of the department, team, colleagues in industry, and technology advancements.
• Complete all other tasks that are deemed appropriate for this role and assigned by the manager/supervisor

Job requirements:

Role Requirements – Knowledge, Skills and Abilities

• Solid understanding of data collection, annotation, and transcription activities, ideally in an AI setting
• Excellent leadership, interpersonal, and relationship-building skills
• Effective written and verbal communication skills
• Effective use of platforms/systems to plan, organize, and prioritize to ensure the successful completion of projects
• Established expertise in project management skills and methodologies
• Outstanding teamwork and collaboration skills
• Demonstrated exceptional analytical, critical-thinking, problem-solving and decision-making skills
• Established competency in the use of business applications and collaboration tools, including but not limited to the Microsoft suite of applications (Outlook, Excel, Word, PowerPoint, SharePoint, Teams) and Google Workspace suite of products.

Role Requirements – Education and/or Experience

• Minimum Bachelor’s degree or its equivalent
• 5+ years’ relevant project management experience or experience in other roles with similar responsibilities
• Experience managing AI Machine Learning data-related projects, including speech, text and computer vision data collection, data curation and annotation projects
• Demonstrated success in end-to-end management of projects (total project lifecycle)
• Experience with project financials including proposals, RFPs, RFQs, MSAs, budgets, GM, quotes and SOWs
• Experience working with a high-performance, collaborative, and constructive peer group
• Ability to apply technology in solving business problems
• Experience managing information technology, data management, or similar technical projects
• AI industry experience
• Established expertise in applying PMI/PMP management principles, methods, and standards
• Business English language proficiency

Preferred Role Requirements

• PMP or equivalent certification
• Experience working with support ticketing systems
• Experience managing projects with crowdsourcing and remote resourcing solutions
• Experience working in a multinational/multicultural virtual working environment
• Experience in working in a cross-functional/matrix organization
• Fluency in a language other than English language

Talent Worx is a growing services & recruitment consulting firm, we are hiring for our client which is a leading provider of financial intelligence, data analytics, and AI-driven solutions, empowering businesses worldwide with insights for confident decision-making. Join to work on cutting-edge technologies, drive digital transformation, and shape the future of global markets.

Job Title: Machine Learning Engineer

Location: Gurgaon / Hyderabad

Experience: 5-14 years

Key Responsibilities:

• Design, build, and deploy scalable ML models for information extraction and NLP .
• Develop end-to-end ML pipelines , including data preprocessing, feature engineering, model training, evaluation, and deployment .
• Work with large-scale data processing frameworks (Apache Spark) to optimize ML solutions.
• Develop and maintain cloud-based data pipelines (AWS/GCP) for streaming and batch processing .
• Implement MLOps best practices including CI/CD pipelines, automated testing, and model monitoring .
• Deploy containerized ML applications using Docker and Kubernetes .
• Collaborate with data engineers, software developers, and product teams to integrate ML solutions.
• Stay updated on emerging ML, NLP, and AI trends to enhance models.

Qualifications & Skills:

• 5+ years of experience in Machine Learning, NLP, and MLOps .
• Strong expertise in Python and ML/NLP libraries (e.g., spaCy, NLTK, Transformers, Hugging Face ).
• Experience with Apache Spark for large-scale data processing .
• Hands-on experience in cloud-based ML development (AWS/GCP) .
• Strong understanding of data preprocessing, feature engineering, and model training .
• Proficiency in SQL (big data experience is a plus).
• Version control experience with Git, GitHub, or Azure DevOps .
• Excellent problem-solving, debugging, and optimization skills .

Nice to Have:

• Experience with LangChain for LLM-based applications .
• Knowledge of Core Java 17+ (preferably Java 21+), Apache Kafka, and Apache Avro .
• Exposure to JVM-based languages such as Kotlin or Scala .

Job Description:

At TuriyamAI, we are pioneering world leading GenAI semiconductor solutions from India, for India and the World. Our breakthrough solutions are set to redefine the future of AI computing, driving unparalleled efficiency, performance, and accessibility for enterprises worldwide.

Responsibilities:

• Implement quantization techniques to optimize model performance and efficiency.
• Experience with inference optimizations at node and cluster scale
• Experience developing, modifying, optimizing inference frameworks such as vLLM, SGLang.
• Optimize multi-modal LLM deployments, prompt caching, RAG workflows, etc.
• Collaborate with HW and SW teams to drive innovations and optimizations into the product deployments
• Stay up-to-date with the latest advancements in machine learning and AI technologies, and apply them to improve our products and services.

Requirements:

• Bachelor's or Master's or Ph.D. degree in Computer Science, Engineering, or a related field.
• Must have strong background in quantization and model optimization techniques.
• Experience in deploying machine learning models at scale in production environments.
• Proficiency in PyTorch.
• Solid understanding of machine learning algorithms and their implementation on accelerators.
• Excellent problem-solving skills and the ability to work independently as well as part of a fast paced team in a startup environment.
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders.

Preferred Qualifications / Experience:

• Experience with fine-tuning and distillation of large language models (LLMs)
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.

·   Familiarity with MLOps practices and tools for model deployment and monitoring.

Benefits:

·   Competitive salary and benefits package.

·   Opportunity to work on cutting-edge AI technology.

·   Collaborative, dynamic and inclusive work environment.

·   Professional growth and development opportunities.

How to Apply:  Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this role to