Machine Learning Engineer

Ahmedabad, Gujarat
Permanent
Full-time

15 days ago

Job Description:This role is for one of the Weekday's clientsSalary range: Rs 2500000 - Rs 3000000 (ie INR 25-30 LPA)Min Experience: 5 yearsLocation: AhmedabadJobType: full-timeWe are seeking a skilled Machine Learning Engineer to build and optimize intelligent systems that power personalized user experiences. This role focuses on developing recommendation engines, retrieval systems, and data-driven AI solutions that enable users to discover relevant content, connections, and insights seamlessly. Sitting at the intersection of machine learning, data engineering, and applied AI, you will design scalable systems that leverage real-time data, embeddings, and advanced algorithms. The ideal candidate is passionate about solving complex problems, building production-grade ML systems, and translating data into meaningful, high-impact user experiences.Requirements:Key Responsibilities

Design, build, and deploy recommendation systems for personalized user experiences
Develop ranking and scoring algorithms to improve relevance, engagement, and discovery
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven applications
Build and manage embedding-based retrieval systems using vector databases
Process and analyze user behavior data to improve personalization and model performance
Design and maintain data pipelines for training, inference, and real-time processing
Collaborate with cross-functional teams to integrate machine learning models into production systems
Continuously monitor, evaluate, and improve model performance in terms of accuracy, latency, and scalability
Work with APIs and backend systems to deploy and maintain ML solutions
Stay updated with advancements in machine learning, AI, and retrieval systems to enhance system capabilities

What Makes You a Great Fit

Strong foundation in machine learning, algorithms, and statistical modeling
Proficiency in Python and relevant ML libraries (NumPy, Pandas, Scikit-learn, etc.)
Hands-on experience building recommendation systems or ranking models
Practical knowledge of RAG systems, embeddings, and similarity search techniques
Experience working with vector databases such as Pinecone, Weaviate, or FAISS
Familiarity with deploying ML models in production environments and working with APIs
Strong problem-solving skills with the ability to work on real-world datasets and user behavior data
Understanding of deep learning frameworks and modern AI techniques is a plus
Experience with scalable systems, real-time processing, or distributed architectures is advantageous
Ability to collaborate effectively in cross-functional teams within fast-paced environments
Strong ownership mindset with a focus on building impactful, user-centric solutions

Weekday AI

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