Urgent! Machine Learning Engineer - Data Modeling Job Opening In Bengaluru – Now Hiring Catalyst IQ
<p><p><b>Key Responsibilities :</b></p><p><b><br/></b></p><p><b>LLM & Machine Learning :</b></p><p><br/></p><p>- Work with a variety of LLMs including Hugging Face OSS models, GPT (OpenAI), Gemini (Google), Claude (Anthropic), Mixtral (Mistral), and LLaMA (Meta).</p><p><br/></p><p>- Fine-tune and deploy LLMs for various use cases such as summarization, Q&A, RAG (Retrieval Augmented Generation), chatbots, document intelligence, etc.<br/><br/></p><p>- Evaluate and compare model performance and apply optimization & MLOps :</b></p><p><br/></p><p>- Design and implement complete LLMOps workflows using tools like : MLFlow for experiment tracking and model versioning.</p></p><p><br/></p><p>- LangChain, LangGraph, LangFlow for LLM orchestration.</p><p><br/></p><p>- Langfuse, LlamaIndex for observability and indexing.<br/><br/></p><p>- AWS SageMaker, Bedrock and Azure AI for model deployment and management.<br/><br/></p><p>- Monitor, log, and optimize inference latency and model behavior in & Vector Stores :</b></p><p><br/></p><p>- Work with structured and unstructured data using MongoDB and PostgreSQL.</p><p><br/></p>- Leverage vector databases like Pinecone and ChromaDB for RAG-based applications.<br/><br/></p><p>- Develop scalable data ingestion and transformation pipelines for AI training and & DevOps :</b></p><p><br/></p><p>- Deploy and manage AI workloads on AWS and Azure cloud environments.</p><p><br/></p>- Use Docker and Kubernetes for containerization and orchestration of LLM-based & Integration :</b></p><p><br/></p><p>- Build robust APIs and microservices using Python, with integrations using SQL and JavaScript where needed.</p><p><br/></p><p>- Develop UI interfaces or dashboards to visualize model outputs and system Skills :</b></p><p><br/></p><p>- Hands-on experience with multiple LLMs including GPT, Claude, Mixtral, Llama, etc.</p><p><br/></p>- Expertise in MLOps / LLMOps frameworks : MLFlow, LangChain, LangGraph, LangFlow, </p><p>Langfuse, etc.<br/><br/></p><p>- Strong understanding of cloud-native AI deployment (AWS SageMaker, Bedrock, Azure AI).<br/><br/></p><p>- Proficient in vector databases like Pinecone and ChromaDB.<br/><br/></p><p>- Familiarity with DevOps best practices using Docker and Kubernetes.<br/><br/></p><p>- Proficient in Python, SQL, and Qualifications : </b></p><p><br/></p>- Previous experience building and deploying production-grade LLM or GenAI applications.<br/><br/></p><p>- Familiarity with real-time or low-latency systems involving LLMs.<br/><br/></p><p>- Certification in AWS or Azure cloud platforms.<br/><br/></p><p>- Exposure to prompt engineering, model fine-tuning, and LLM evaluation techniques</p><br/></p> (ref:hirist.tech)
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning 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 Machine Learning 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 19852 jobs in India and 1612 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Catalyst IQ is currently hiring and seeking a Machine Learning Engineer Data Modeling to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Data Modeling 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 Catalyst IQ adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Data Modeling 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 Machine Learning Engineer Data Modeling 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 Machine Learning Engineer Data Modeling interview at Catalyst IQ, 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 Catalyst IQ's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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