What Jobs are available for AI Tools 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

• Assist in collecting, cleaning, and processing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement statistical models and algorithms.
• Create clear and insightful data visualizations and reports.
• Support senior analysts in interpreting data and deriving actionable insights.
• Collaborate with cross-functional teams to understand data needs and project objectives.
• Contribute to the development and maintenance of data analysis tools and frameworks.
• Stay updated with the latest advancements and best practices in data science and analytics.
• Ensure data accuracy and integrity throughout the analysis process.
• Participate in training sessions and team knowledge-sharing initiatives.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and methods.
• Proficiency in at least one programming language such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Good communication skills, with the ability to explain technical concepts to non-technical audiences.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively both independently and as part of a team.