Qureos Mentor

Fiftyfive technologies

<p><b>Job Description</b><br/>We are looking for a <b>Senior Machine Learning Engineer</b> with 5&ndash;7 years of experience in developing and deploying cutting-edge AI solutions. The ideal candidate should have hands-on expertise in large and small language models, vector and graph databases, retrieval-augmented generation (RAG) techniques, and experience with building agentic AI systems.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, fine-tune, and deploy ML/AI models, especially LLMs (Large Language Models), SLMs (Small Language Models), and VLLMs.</li><li>Work on advanced RAG architectures, including Knowledge-based RAG and Graph-based RAG techniques.</li><li>Engineer high-quality prompts and chain-of-thought logic for agentic AI systems.</li><li>Implement model optimization strategies such as fine-tuning, pruning, and distillation.</li><li>Integrate vector databases (e.g., FAISS, Pinecone, Weaviate) and graph databases (e.g., Neo4j, TigerGraph) into scalable AI pipelines.</li><li>Collaborate with data scientists to transform ML prototypes into production-grade software applications.</li><li>Design and maintain APIs and ML microservices for real-time and batch inference.</li><li>Ensure model performance, reliability, and security in production environments.</li><li>Contribute to the development of AI-driven intelligent agents and decision-making systems.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>4&ndash;7 years of experience in Machine Learning, with a strong focus on LLMs and applied NLP.</li><li>Hands-on experience with:</li><li>VLLMs, LLMs, SLMs</li><li>Knowledge-based RAG, Graph-based RAG</li><li>Prompt Engineering and Prompt Optimization</li><li>Model Fine-tuning and Distillation techniques</li><li>Vector Databases (e.g., FAISS, Pinecone)</li><li>Graph Databases (e.g., Neo4j, TigerGraph)</li><li>Agentic AI design and development</li><li>Strong programming skills in Python; experience with libraries such as Hugging Face Transformers, LangChain, PyTorch, or TensorFlow.</li><li>Familiarity with MLOps tools and frameworks for deployment and monitoring.</li><li>Experience integrating AI models into production-grade software systems.</li><li>Excellent problem-solving, communication, and collaboration skills.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Master&rsquo;s or Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li><li>Experience working in client-facing roles or international projects.</li><li>Understanding of cloud platforms (AWS, GCP, or Azure) for ML model deployment.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: Up to &#8377;2,500,000.00 per year</p><p>Benefits:</p><ul><li>Food provided</li><li>Health insurance</li><li>Leave encashment</li><li>Paid sick time</li><li>Provident Fund</li><li>Work from home</li></ul><p>Work Location: Hybrid remote in Indore, Madhya Pradesh</p>

Senior Machine Learning Engineer

<div><h3 class="jobSectionHeader"><b>Job Title:</b><b> HR Generalist (Recruitment-Focused)</b></h3><div><b><br>
Location:</b> Gurgaon</div><div><b>
Experience:</b> 4 &ndash; 5 Years</div><div><b>
Gender Preference:</b> Male Candidate</div><div><b>
Employment Type:</b> Full-time, On-site</div><div></div><h3 class="jobSectionHeader"><b><br>
About the Role:</b></h3><div>
We are looking for a proactive and dynamic <b>HR Generalist</b> to join our Gurgaon office. The ideal candidate will play a key role in managing end-to-end recruitment (70%) while also supporting HR operations (30%) including employee engagement, onboarding, and compliance.</div><div></div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities:</b></h3><h3 class="jobSectionHeader"><b>
Recruitment (70%)</b></h3><ul><li>
Manage end-to-end recruitment cycle &ndash; from sourcing, screening, and interviewing to offer negotiation and onboarding.</li><li>
Partner with hiring managers to understand manpower requirements and create effective hiring strategies.</li><li>
Source candidates using multiple channels including job portals, LinkedIn, referrals, and campus hiring.</li><li>
Maintain and update recruitment dashboards, reports, and trackers.</li><li>
Build and maintain a strong talent pipeline for critical and recurring roles.</li><li>
Conduct reference checks and ensure timely closure of positions.</li></ul><h3 class="jobSectionHeader"><b>
HR Operations (30%)</b></h3><ul><li>
Manage employee onboarding, documentation, and induction process.</li><li>
Maintain and update employee records and HR databases.</li><li>
Assist in payroll coordination, attendance tracking, and leave management.</li><li>
Support employee engagement activities, grievance handling, and exit formalities.</li><li>
Ensure compliance with HR policies, labor laws, and company procedures.</li></ul><h3 class="jobSectionHeader"><b>
Key Skills &amp; Competencies:</b></h3><ul><li>
Strong knowledge of end-to-end recruitment processes.</li><li>
Excellent communication and interpersonal skills.</li><li>
Ability to multitask and manage deadlines effectively.</li><li>
Proficiency in MS Office and HRIS tools.</li><li>
Exposure to HR operations, policies, and compliance.</li><li>
Good analytical and reporting abilities.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications:</b></h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Human Resources or related field.</li><li>
4&ndash;5 years of relevant experience in recruitment and HR operations.</li><li>
Experience in corporate or manufacturing setup preferred.</li></ul></div><div></div>

HR Generalist

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3><div>
We are looking for a <b>Senior Machine Learning Engineer</b> with 4&ndash;7 years of experience in developing and deploying cutting-edge AI solutions. The ideal candidate should have hands-on expertise in large and small language models, vector and graph databases, retrieval-augmented generation (RAG) techniques, and experience with building agentic AI systems.</div><div>
</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, develop, fine-tune, and deploy ML/AI models, especially LLMs (Large Language Models), SLMs (Small Language Models), and VLLMs.</li><li>
Work on advanced RAG architectures, including Knowledge-based RAG and Graph-based RAG techniques.</li><li>
Engineer high-quality prompts and chain-of-thought logic for agentic AI systems.</li><li>
Implement model optimization strategies such as fine-tuning, pruning, and distillation.</li><li>
Integrate vector databases (e.g., FAISS, Pinecone, Weaviate) and graph databases (e.g., Neo4j, TigerGraph) into scalable AI pipelines.</li><li>
Collaborate with data scientists to transform ML prototypes into production-grade software applications.</li><li>
Design and maintain APIs and ML microservices for real-time and batch inference.</li><li>
Ensure model performance, reliability, and security in production environments.</li><li>
Contribute to the development of AI-driven intelligent agents and decision-making systems.</li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li>
4&ndash;7 years of experience in Machine Learning, with a strong focus on LLMs and applied NLP.</li><li>
Hands-on experience with:</li><li>
VLLMs, LLMs, SLMs</li><li>
Knowledge-based RAG, Graph-based RAG</li><li>
Prompt Engineering and Prompt Optimization</li><li>
Model Fine-tuning and Distillation techniques</li><li>
Vector Databases (e.g., FAISS, Pinecone)</li><li>
Graph Databases (e.g., Neo4j, TigerGraph)</li><li>
Agentic AI design and development</li><li>
Strong programming skills in Python; experience with libraries such as Hugging Face Transformers, LangChain, PyTorch, or TensorFlow.</li><li>
Familiarity with MLOps tools and frameworks for deployment and monitoring.</li><li>
Experience integrating AI models into production-grade software systems.</li><li>
Excellent problem-solving, communication, and collaboration skills.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Master&rsquo;s or Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li><li>
Experience working in client-facing roles or international projects.</li><li>
Understanding of cloud platforms (AWS, GCP, or Azure) for ML model deployment.</li></ul></div><div></div>

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Fiftyfive technologies

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Senior Machine Learning Engineer

HR Generalist

Senior Machine Learning Engineer