Associate Lead - AI/ML Engineer (Python, AL/ML)

About the job:Key Responsibilities:

1. Develop and optimize enterprise search, ranking, personalization, and recommendation systems.

2. Build algorithms for indexing, query relevance, semantic search, and retrieval.

3. Work on taxonomy, ontology, metadata, embeddings, and knowledge retrieval.

4. Develop production-grade ML solutions using Python, SQL, and ML/DL frameworks.

5. Build and optimize NLP, LLM, RAG, vector search, and document understanding solutions.

6. Analyze user behavior and system metrics to improve search performance.

7. Collaborate with Product, Engineering, Design, and Business teams.

8. Support POCs and follow best practices in Git, CI/CD, testing, and monitoring.

Note: CTC: 75% Fixed + 25% Variable.Who can apply:Only those candidates can apply who:have minimum 1 years of experienceSalary:₹ 19,00,000 - 31,00,000 /yearExperience:1 year(s)Deadline:[hidden]:59:59Other perks:5 days a weekSkills required:Java, Python, Linux, SQL, Machine Learning, Scala and CI/CDOther Requirements:1. Strong AI Engineer/Machine Learning Engineer profile.2. 1+ years of hands-on experience in Data Science, ML, Applied AI, NLP, Deep Learning, or GenAI.3. Strong Python, SQL, data analysis, feature engineering, and production ML experience.4. Experience with PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.5. Hands-on experience in NLP, embeddings, semantic search, recommendations, or document understanding.6. Experience with LLMs such as GPT, Llama, Mistral, Claude, Gemini, or Phi.7. Hands-on experience with RAG, vector search, embeddings, chunking, indexing, and knowledge retrieval.8. Experience with Git, CI/CD, and production ML systems.9. Age: Below 28 years.10. Education: BTech/MTech from Tier-1 colleges – IITs, NITs, or BITS only.11. MLOps/LLMOps: MLflow, Kubeflow, Airflow, Prefect, Feature Stores.12. Vector databases, Spark/PySpark, distributed or real-time ML.13. Docker, Kubernetes, Azure/AWS/GCP, and cloud-native AI deployments.14. Background in Fintech, Banking, Lending, Fraud/Risk Analytics, AI-first startups, Product/SaaS companies.About Company:TalentXO is a recruitment-tech startup that combines the power of a network of 200+ (growing fast) talent partners and domain experts, and a super-intelligent platform to deliver on your most challenging hiring goals. We are building a super recruitment platform that understands the complexities of hiring top talent and can solve the problems of attracting candidates, checking company fitment, skill assessment, and more through our network of talent partners and domain experts. We are trusted by top companies-10X Talent for 10X Growth-Bajaj Finserv, Razorpay, Myntra, Directi, Byju's App, InMobi, Deloitte, Wipro, Nykaa, Pharmeasy, Delhivery, Meesho, and many more. TalentXO was established in 2016 and has grown organically with the blessing of our many happy clients. We are a bunch of talented and motivated folks and are excited to continue our innovation-driven growth story.

Responsibilities

Key Responsibilities:

1. Develop and optimize enterprise search, ranking, personalization, and recommendation systems.

2. Build algorithms for indexing, query relevance, semantic search, and retrieval.

3. Work on taxonomy, ontology, metadata, embeddings, and knowledge retrieval.

4. Develop production-grade ML solutions using Python, SQL, and ML/DL frameworks.

5. Build and optimize NLP, LLM, RAG, vector search, and document understanding solutions.

6. Analyze user behavior and system metrics to improve search performance.

7. Collaborate with Product, Engineering, Design, and Business teams.

8. Support POCs and follow best practices in Git, CI/CD, testing, and monitoring.

Note: CTC: 75% Fixed + 25% Variable.