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Job Title: Machine Learning Engineer Location: WFO, Gurugram Job Type: Full-time About Us: Netway India is a product-based company known for its flagship brand, Astroyogi â Indiaâs largest marketplace of spiritual sciences across technology platforms and partners. With a passionate and fast-growing team of 110+ members, we are innovating across technology, product, sales, marketing, operations, and content. Astroyogi is the global leader in astrological content, partnered with major platforms like Yahoo!, MSN, DailyHunt, and OTTs like Zee5. With over 5 million users and counting, we are expanding rapidly and investing heavily in next-gen AI capabilities to revolutionize personalized guidance and astrology tech. Position Summary: As a Machine Learning Engineer at Astroyogi, youâll play a key role in designing and deploying AI-driven features using LLMs, LangChain, and Generative AI frameworks. Youâll work at the intersection of machine learning, intelligent systems, and user personalization to help us build smarter, more intuitive digital experiences for millions of users. This is a hands-on role ideal for early-career professionals passionate about building production-grade AI applications and exploring the frontiers of Agentic AI and Generative Tech. Key Responsibilities: ML & AI Development: Design and implement machine learning models for recommendation, personalization, and content generation. Leverage LangChain, OpenAI APIs, or similar frameworks to build intelligent agent pipelines Experiment with prompt engineering, embeddings, and retrieval-augmented generation (RAG) Agentic AI & Conversational Systems: Develop autonomous and semi-autonomous agents using Agentic AI principles Build scalable workflows for intelligent interactions and decision-making Collaborate with the product team to create AI-powered features for astrology and wellness services Data Engineering & Integration: Work with large datasets to extract insights, train models, and monitor performance Integrate ML models into live production systems with a focus on performance and scalability Use APIs, vector databases (e.g., FAISS, Pinecone), and cloud services for deployment Collaboration & Innovation: Collaborate with engineers, designers, and content teams to align ML projects with business goals Stay up to date with the latest in ML, NLP, LLMs, and Generative AI to drive innovation Use performance metrics and analytics to optimize AI-driven features Skills and Qualifications: Experience: 6 months to 2 years of experience in ML/AI development or research roles Programming Skills: Strong coding skills in Python, SQL/NoSQL/MongoDb Familiarity with ML frameworks like scikit-learn, TensorFlow, PyTorch, or Hugging Face Fine-tune and integrate Large Language Models (LLMs) , analysis, and search applications AI/ML Knowledge: Solid understanding of LLMs, NLP pipelines, and generative model use cases Experience with LangChain, OpenAI, Transformers, or similar toolkits Exposure to Agentic AI, AI agents, or decision-making workflows is a big plus Technical Skills: Comfortable with APIs, cloud deployment (AWS/GCP), and Git Familiarity with vector databases, semantic search, and RAG architecture Problem-Solving: Strong analytical thinking and problem-solving abilities Ability to independently research, test, and iterate on ML solutions Desirable Skills: Experience with chatbot frameworks, recommendation systems, or personalization engines Familiarity with tools like Weaviate, Pinecone, Streamlit, or FastAPI Knowledge of astrology, spirituality, or wellness domains (bonus but not required) Show more Show less
