Urgent! Quantiphi - Associate Architect - Machine Learning Job Opening In Bengaluru – Now Hiring Quantiphi Analytics
<p><p>While technology is the heart of our business, a global and diverse culture is the heart of our success.<br/><br/> We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br/><br/> If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests youyou would enjoy your career with Quantiphi!.<br/><br/><b> Required Experience : </b>6 to 9 years.</p><br/><p><b>Roles And Responsibilities :</b></p><p><p><b><br/></b></p>- Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes.<br/><br/></p><p>- LLM Fine-Tuning : Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains.<br/><br/></p><p>- Evaluate and Optimize for performance, accuracy, and efficiency.<br/><br/></p><p>- Prompt Engineering : Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements.<br/><br/></p><p>- AI Workflow Automation : Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.<br/><br/></p><p>- Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.<br/><br/></p><p>- Research & Development : Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology.<br/><br/></p><p>- Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.<br/><br/></p><p>- Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.</p><br/><p><b>Skills Required :</b></p><p><p><b><br/></b></p>- 6 to 9 years of work experience in machine learning and AI engineering.<br/><br/></p><p>- Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar.<br/><br/></p><p>- Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.<br/><br/></p><p>- Strong experience in prompt engineering to optimize AI models performance.</p><br/><p><b>Technical Skills :</b></p><p><p><b><br/></b></p>- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.<br/><br/></p><p>- Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.<br/><br/></p><p>- Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.<br/><br/></p><p>- Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.<br/><br/></p><p>- Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.<br/><br/></p><p>- Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git).</p><br/><p><b>Soft Skills :</b></p><p><p><b><br/></b></p>- Strong problem-solving and analytical skills.<br/><br/></p><p>- Excellent communication and teamwork abilities to collaborate with stakeholders.<br/><br/></p><p>- Ability to work independently and drive projects to completion with minimal supervision.</p><br/><p><b>Preferred Skills & Qualifications :</b></p><p><p><b><br/></b></p>- Experience in deploying AI models at scale in production environments.<br/><br/></p><p>- Expertise in large-scale data processing, optimization techniques, and model deployment.</p><br/><p>If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</p><br/></p> (ref:hirist.tech)
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Unlock Your Quantiphi Associate Potential: Insight & Career Growth Guide
Real-time Quantiphi Associate 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 Quantiphi Associate 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 85329 jobs in India and 6594 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Quantiphi Associate roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Quantiphi Analytics is currently hiring and seeking a Quantiphi Associate Architect Machine Learning to join their team. Feel free to download the job details.
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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 Quantiphi Analytics adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Quantiphi Associate Architect Machine Learning 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 Quantiphi Associate Architect Machine Learning 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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Before the Interview:To prepare for your Quantiphi Associate Architect Machine Learning interview at Quantiphi Analytics, 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 Quantiphi Analytics's products or services and be prepared to discuss how you can contribute to their success.
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