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Urgent! AI/ML Engineer Jobs | MaxVal
Job Responsibilities
Unstructured Data Mining:Design robust web scraping and crawling pipelines (using tools like Playwright or Selenium) to harvest data from the open web.
Convert messy, unstructured text into structured knowledge bases.
Agentic Workflow Design: Architect and build autonomous AI agents that can break down complex user goals into sub-tasks, execute tool calls (API requests, DB queries) using frameworks like LangGraph.
Base NLP Modeling (Supervised & Unsupervised): Build robust Supervised models for text classification, intent detection, and Named Entity Recognition (NER) where LLMs are overkill.
Apply Unsupervised techniques (e.g., LDA for topic modeling, K-Means/DBSCAN for clustering) to discover patterns in unlabeled text corpora.
RAG (Retrieval-Augmented Generation): Build semantic search solution for context retrieval from millions of data points.
Manage vector embedding pipelines.
Apply dimensionality reduction techniques (PCA, t-SNE, UMAP) to visualize high-dimensional data or optimize storage/retrieval efficiency in vector databases.
LLM Development & Fine-Tuning: Lead the collection, cleaning, and formatting of high-quality instruction datasets (SFT) from raw logs and documents.
Select and implement appropriate loss functions (e.g., Contrastive Loss, Triplet Loss) to optimize models for semantic matching.
Cloud Deployment (AWS): Deploy scalable AI models and agentic services on AWS using SageMaker, Bedrock, Lambda, and EKS/ECS.
Ensure high availability and low latency for real-time inference.
Requirements
Required Skills
Programming: Expert-level Python skills (Pandas, NumPy).
Experience with PyTorch/TensorFlow.
Data Acquisition: Advanced proficiency in Web Scraping and data mining from unstructured sources (PDFs, HTML, raw text).
Agentic AI Exposure: Hands-on experience creating autonomous loops where AI agents use tools (Function Calling) to complete multi-step workflows.
LLM Experience: Proven experience building applications powered by LLMs. Deep understanding of Context Windows, Tokenization, Temperature, and Prompt Engineering.
Core AI/ML: Strong theoretical and practical foundation in NLP and foundational understanding of Transformers and Deep Learning architectures.
RAG (Retrieval-Augmented Generation): Experience building RAG pipelines using Vector Databases (Pinecone, Milvus, Weaviate) to ground LLM responses in company data.
Cloud & DevOps: Solid experience with AWS services (Lambda, S3, EC2, CloudWatch).
Proficiency with GIT is mandatory for version control and collaboration.
Preferred Skills (Nice to Have)
Multi-Agent Orchestration: Experience designing systems where multiple specialized agents collaborate to solve a problem.
API Development: Strong experience wrapping AI models in FastAPI/Flask for consumption by frontend applications.
Experience with Docker/Kubernetes for containerizing AI applications.
Basic Qualifications
BS/MS/PhD in Computer Science, Engineering, or a related field.
Experience in product development, preferably in SaaS and cloud environments.
Experience or understanding of the Intellectual Property (IP) domain is highly desirable.
Benefits
Regular benefits as applicable for permanent employees.✨ Smart • Intelligent • Private • Secure
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Unlock Your AI ML Potential: Insight & Career Growth Guide
Real-time AI ML Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI ML in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 34735 jobs in India and 3347 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in AI ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! MaxVal is currently hiring and seeking a AI/ML Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI/ML Engineer Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at MaxVal adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI/ML Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI/ML Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your AI/ML Engineer interview at MaxVal, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the MaxVal's products or services and be prepared to discuss how you can contribute to their success.
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