What Jobs are available for Artificial Intelligence in Delhi?

Experience : 5+ years of hands-on experience in software or AI/ML development, ideally with some exposure to leading projects or mentoring others.

About The Role

We are setting up a dedicated AI department at go4WorldBusiness to power the next generation of intelligent, AI-driven products and systems that transform how global businesses connect.

As a Senior AI Engineer , you won’t just be building models—you’ll be shaping how AI is integrated across our platform. You’ll lead by example in designing and deploying robust systems, work with both traditional ML and modern LLM-based architectures, and help set the foundation for how AI is done here—technically and culturally.

This is a rare opportunity for someone who wants to stay hands-on with code while also stepping into a role that has real influence, responsibility, and long-term ownership.

What You’ll Do Most Of The Time

• Design, build, and ship production-grade AI systems—ranging from classical ML to modern LLM-powered features.
• Lead AI projects from idea to execution, including architecture, modeling, evaluation, and deployment.
• Work with unstructured data, embeddings, vector databases, and real-world data problems.
• Evaluate and integrate LLM-based tools like OpenAI, LangChain, HuggingFace, or Ollama where appropriate.
• Collaborate with product and engineering teams to deliver AI capabilities that have real user and business impact.
• Mentor junior AI engineers and contribute to a culture of fast learning, clean code, and clear thinking.
• Stay on top of advancements in AI/ML and help guide our strategy with technical insight.

What You’ll Need To Qualify

• Excellent communication and critical thinking—you're as comfortable explaining your decisions as you are making them.
• Proficiency in Python and familiarity with modern AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
• Experience building and deploying ML or LLM-based systems in production environments.
• Strong understanding of ML workflows, vector search, APIs, and data pipelines.
• Prior experience taking ownership of projects or mentoring team members.

Preferred Skills

You don’t need to know all of these — but you should be excited to learn what you don’t:

• Hands-on with OpenAI, HuggingFace, LangChain, or other LLM-based frameworks
• Experience with FastAPI, Docker, or MLOps tools like MLflow and Airflow
• Comfort working with vector databases (e.g., FAISS, Pinecone, Qdrant)
• Familiarity with prompt engineering, retrieval-augmented generation (RAG), and evaluation of generative outputs
• Ability to balance trade-offs between performance, cost, and complexity in AI deployments

What You’ll Get

• A chance to lead and build in an AI-first team working on impactful, real-world challenges
• Opportunity to grow into a leadership role while staying close to the code
• Industry-best salary with strong growth upside
• Mentorship, autonomy, and ownership from day one
• 5-day work week
• Annual loyalty bonus
• Six-monthly profit sharing bonus
• PF and Gratuity

• 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.

• Lead research initiatives in deep learning and related AI fields.
• Design, develop, and implement novel AI algorithms and models.
• Conduct rigorous scientific experiments and analyze performance.
• Publish research findings in top-tier conferences and journals.
• Mentor and guide junior research scientists and engineers.
• Collaborate with cross-functional teams to integrate AI solutions.
• Stay updated with the latest AI research trends and technologies.
• Contribute to the strategic direction of AI research within the company.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Extensive research experience in deep learning, with a strong publication record.
• Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python.
• Proven experience in areas like NLP, Computer Vision, or Reinforcement Learning.
• Strong theoretical foundation in machine learning and statistics.
• Demonstrated leadership and team management capabilities.
• Excellent analytical and problem-solving skills.