What Jobs are available for AI Engineers in Delhi?
Showing 41 AI Engineers jobs in Delhi
Senior AI Ethicist - Responsible AI Development
Posted 17 days ago
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Job Description
Key Responsibilities:
- Develop and implement comprehensive AI ethics frameworks, policies, and best practices for the organization.
- Conduct ethical impact assessments for new AI products, features, and research initiatives.
- Advise AI development teams on identifying and mitigating ethical risks related to bias, fairness, privacy, accountability, and transparency.
- Collaborate with legal, policy, and engineering teams to ensure compliance with emerging AI regulations and ethical standards.
- Stay abreast of the latest research, discourse, and challenges in AI ethics and responsible innovation.
- Develop training materials and conduct workshops to educate employees on AI ethics principles.
- Serve as an internal and external thought leader on AI ethics issues.
- Facilitate discussions and build consensus on complex ethical dilemmas related to AI.
- Contribute to the design of AI systems that prioritize human values and societal well-being.
- Monitor and evaluate the ethical implications of deployed AI systems.
Qualifications:
- Advanced degree (Master's or Ph.D.) in Ethics, Philosophy, Law, Computer Science, Public Policy, or a related interdisciplinary field with a focus on technology ethics.
- Minimum of 6 years of experience working in AI ethics, responsible innovation, or technology policy.
- Strong understanding of machine learning concepts and the technical aspects of AI systems.
- In-depth knowledge of ethical theories and frameworks, particularly as they apply to technology.
- Experience in conducting ethical risk assessments and developing mitigation strategies.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication, presentation, and interpersonal skills, with the ability to engage diverse stakeholders.
- Familiarity with AI governance, regulations, and standards is highly desirable.
- Ability to work independently and lead initiatives in a remote setting.
- A passion for ensuring that AI is developed and used for the benefit of humanity.
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            Graduate Trainee - Data Science
Posted 3 days ago
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            Graduate Trainee - Data Science
Posted 8 days ago
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Job Description
Program Highlights:
- Work on challenging data science projects from data collection and cleaning to model development and deployment.
- Gain exposure to a wide range of data science tools and technologies, including Python, R, SQL, and various machine learning libraries.
- Receive mentorship from senior data scientists, who will guide your learning and career development.
- Participate in workshops and training sessions covering essential data science concepts and techniques.
- Collaborate with cross-functional teams in a dynamic, remote-first environment.
- Develop skills in data visualization, statistical analysis, and machine learning algorithms.
- Contribute to the development of data-driven insights that inform business decisions.
- Understand the ethical considerations and best practices in data science.
Eligibility Criteria:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and calculus.
- Proficiency in at least one programming language, preferably Python or R.
- Familiarity with database concepts and SQL is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Eagerness to learn and adapt in a fast-paced remote setting.
- Must be legally authorized to work in the specified region (though the role is remote).
This internship is ideal for individuals who are curious, driven, and eager to apply their academic knowledge to solve complex problems using data. You will be part of a supportive virtual team culture that encourages innovation and continuous learning. Our client values individuals who are proactive, detail-oriented, and possess a strong desire to grow within the data science domain. This is a fantastic stepping stone for launching your career, offering invaluable experience and networking opportunities in the exciting field of data science, all from the comfort of your remote workspace. We are committed to providing a rich learning experience that bridges the gap between academia and industry.
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            Director of Data Science
Posted 27 days ago
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Job Description
Company Overview
At Talent Nexa Consulting, we specialize in sourcing top-tier talent for tech-driven companies, focusing on technology and product leadership hiring. We provide customized hiring solutions, ensuring a perfect cultural alignment across industries such as AI & Machine Learning, Cloud Computing, and E-commerce. Our mission is to connect exceptional talent with the right opportunities, optimizing teams for tech success. Headquartered in Noida, we pride ourselves in transforming possibilities into realities through strategic, personalized recruitment.
 
Job Overview
We are seeking a highly experienced Director of Data Science to join our dynamic team remotely. This senior-level position, based in Delhi, requires a candidate with 12 to 15 years of experience. The role involves leading data science initiatives and driving innovation within the company and for our clients. The successful candidate will demonstrate expert proficiency in deep learning and development of large language models.
 
Qualifications and Skills
- Experience in deep learning with a proven track record (Mandatory skill).
- Expertise in LLMs, with a deep understanding of their architecture and application (Mandatory skill).
- Proven research skills with a strong background in theoretical and applied methodologies (Mandatory skill).
- Proficiency in Retrieval-Augmented Generation (RAG) techniques and their implementation in complex projects.
- Extensive experience in data science, including knowledge of modern approaches and frameworks.
- Strong proficiency in TensorFlow and PyTorch for developing and deploying scalable models.
- Ability to strategically manage and lead a team to achieve data-driven goals and innovative solutions.
- Excellent communication skills for effective collaboration with cross-functional teams and stakeholders.
 
Roles and Responsibilities
- Lead the data science department, driving strategic initiatives and aligning with the company's business goals.
- Develop and enhance AI models using deep learning techniques and large language models.
- Collaborate with engineering and product teams to integrate data-based innovations into products and services.
- Implement best practices and advancements in data science to improve decision-making procedures.
- Ensure proper utilization of data science tools and platforms to generate business insights and enhance performance.
- Oversee research activities to explore new methodologies and improve existing strategies in data science.
- Mentor and nurture a team of data scientists, encouraging professional growth and knowledge sharing.
- Communicate complex data concepts in clear terms to non-technical stakeholders and executive management.
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            Remote Senior Python Developer - Data Science
Posted 17 days ago
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Job Description
Key Responsibilities:
- Design, develop, and deploy scalable data pipelines and ETL processes using Python.
- Build, train, and optimize machine learning models for various applications.
- Develop and maintain APIs for data access and model serving.
- Collaborate with data scientists to implement and productionize statistical models and algorithms.
- Optimize data infrastructure and code for performance, scalability, and reliability.
- Implement data warehousing solutions and database management strategies.
- Ensure data quality, integrity, and security across all systems.
- Write clean, well-documented, and maintainable code.
- Participate in code reviews and contribute to architectural design discussions.
- Stay current with advancements in Python, data science, machine learning, and cloud technologies.
- Mentor junior engineers and share best practices in software development and data engineering.
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field, or equivalent practical experience.
- 5+ years of professional experience in Python development, with a strong focus on data-intensive applications.
- Extensive experience with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Proficiency in SQL and experience with various database systems (e.g., PostgreSQL, MySQL, NoSQL).
- Experience with cloud platforms (AWS, Azure, GCP) and related data services.
- Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Excellent problem-solving skills and the ability to work effectively in a remote, agile environment.
- Strong communication and collaboration abilities.
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            Remote Lead AI Educator - Curriculum Development
Posted 15 days ago
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Job Description
Responsibilities include:
- Designing, developing, and implementing AI and Machine Learning curriculum for various educational levels.
- Creating learning modules, lectures, presentations, and hands-on lab exercises.
- Ensuring curriculum content is accurate, up-to-date, and aligned with industry trends and best practices.
- Developing assessment strategies and tools to evaluate student learning and progress.
- Potentially delivering online training sessions, webinars, and workshops.
- Collaborating with subject matter experts, instructional designers, and educational technologists.
- Researching and integrating new AI technologies and teaching methodologies into the curriculum.
- Providing feedback and guidance to students and instructors.
- Contributing to the continuous improvement of educational programs.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proven experience in curriculum development and instructional design, preferably in AI/ML.
- Strong knowledge of core AI concepts, including machine learning algorithms, deep learning, natural language processing, and computer vision.
- Experience with programming languages commonly used in AI (e.g., Python) and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly and concisely.
- Demonstrated ability to work effectively in a remote, collaborative environment.
- Experience in adult education or online learning platforms is a plus.
- Strong analytical and problem-solving skills.
- A passion for education and empowering others with AI knowledge.
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            Machine Learning Engineer
Posted 10 days ago
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AI & Machine Learning Lead
Posted 3 days ago
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            Senior Machine Learning Engineer
Posted 4 days ago
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            Senior Machine Learning Engineer
Posted 18 days ago
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Job Description
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms for diverse applications.
- Lead the entire ML lifecycle, including data collection, cleaning, feature engineering, model training, validation, and deployment.
- Collaborate with data scientists, software engineers, and product managers to define ML requirements and translate them into robust solutions.
- Optimize model performance for accuracy, efficiency, and scalability.
- Stay current with state-of-the-art ML research and techniques, and proactively identify opportunities for application.
- Develop and maintain ML infrastructure, tools, and pipelines.
- Conduct thorough model evaluation and A/B testing to ensure effectiveness and impact.
- Mentor and guide junior machine learning engineers and data scientists.
- Communicate complex technical concepts and findings to both technical and non-technical audiences.
- Contribute to the company's intellectual property through patents and publications.
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in machine learning engineering or a closely related role.
- Proven track record of successfully developing and deploying ML models in production environments.
- Deep understanding of various ML algorithms (e.g., deep learning, reinforcement learning, natural language processing).
- Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
- Strong understanding of software engineering best practices, including version control, testing, and CI/CD.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and leadership abilities.
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