What Jobs are available for AI Engineers in Delhi?

• 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.

• 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).

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.

• 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.

• 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.