Qureos Mentor

Calix

<div>Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.<br>
<br>
This is a remote-based position that can be located anywhere in the United States or Canada.<div></div><div>
Our Products Team is growing and we're looking for a highly skilled Senior Machine Learning Engineer to join our cutting-edge Generative AI project. In this role, you will play a key part in designing, developing, and deploying advanced AI models focused on content generation, natural language understanding, and creative data synthesis. You will work alongside a team of data scientists, software engineers, and AI researchers to build systems that push the boundaries of what generative AI can achieve.</div><div></div><div>
Key Responsibilities:</div><ul><li>
Design and Build ML Models: Develop and implement advanced machine learning models (including deep learning architectures) for generative tasks, such as text generation, image synthesis, and other creative AI applications.</li><li>
Optimize Generative AI Models: Enhance the performance of models like GPT, VAEs, GANs, and Transformer architectures for content generation, making them faster, more efficient, and scalable.</li><li>
Data Preparation and Management: Preprocess large datasets, handle data augmentation, and create synthetic data to train generative models, ensuring high-quality inputs for model training.</li><li>
Model Training and Fine-tuning: Train large-scale generative models and fine-tune pre-trained models (e.g., GPT, BERT, DALL-E) for specific use cases, using techniques like transfer learning, prompt engineering, and reinforcement learning.</li><li>
Performance Evaluation: Evaluate models&rsquo; performance using various metrics (accuracy, perplexity, FID, BLEU, etc.), and iterate on the model design to achieve better outcomes.</li><li>
Collaboration with Research and Engineering Teams: Collaborate with cross-functional teams including AI researchers, data scientists, and software developers to integrate ML models into production systems.</li><li>
Experimentation and Prototyping: Conduct research experiments and build prototypes to test new algorithms, architectures, and generative techniques, translating research breakthroughs into real-world applications.</li><li>
Deployment and Scaling: Deploy generative models into production environments, ensuring scalability, reliability, and robustness of AI solutions in real-world applications.</li><li>
Stay Up-to-Date with Trends: Continuously explore the latest trends and advancements in generative AI, machine learning, and deep learning to keep our systems at the cutting edge of innovation.</li></ul><div></div><div>
Qualifications:</div><ul><li>
Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field.</li><li>
3-5+ years focus on Machine Learning.</li><li>
5+ years overall software engineering in production</li><li>
Proven experience with generative AI models such as GPT, VAEs, GANs, or Transformer architectures.</li><li>
Strong hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.</li><li>
Expertise in Python and libraries such as NumPy, Pandas, Scikit-learn.</li><li>
Experience with Natural Language Processing (NLP), image generation, or multimodal models.</li><li>
Familiarity with training and fine-tuning large-scale models (e.g., GPT, BERT, DALL-E).</li><li>
Knowledge of cloud platforms (AWS, GCP, Azure) and ML ops pipelines (e.g., Docker, Kubernetes) for deploying machine learning models.</li><li>
Strong background in data manipulation, data engineering, and working with large datasets.</li><li>
Strong coding experience in Python, Java, Go, C/C++, R</li><li>
Good data skills &ndash; SQL, Pandas, exposure to various SQL and no SQL data bases</li><li>
Solid development experience with dev cycle on Testing and CICD</li><li>
Strong problem-solving abilities and attention to detail.</li><li>
Excellent collaboration and communication skills to work effectively within a multidisciplinary team.</li><li>
Proactive approach to learning and exploring new AI technologies.</li></ul><div></div><div>
Preferred Skills:</div><ul><li>
Experience with Reinforcement Learning or Self-Supervised Learning in generative contexts.</li><li>
Familiarity with distributed training and high-performance computing (HPC) for scaling large models.</li><li>
Contributions to AI research communities or participation in AI challenges and open-source projects.</li><li>
Tools: Linux, git, Jupyter, IDE, ML frameworks: Tensorflow, Pytorch, Keras, Scikit-learn</li><li>
GenAI: prompt engineering, RAG pipeline, Vector/Graph DB, evaluation frameworks, model safety and governance</li></ul><div></div><div>
Location:</div><ul><li>
India &ndash; (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter)</li></ul></div><div></div>
<br><div><p>About Us</p><p></p><div><div><div><div><div>
PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at <div>talentandculture@calix.com</div>.</div><div></div><div>
Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We&rsquo;re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.</div><div></div><div>
This is the Calix mission - to enable CSPs of all sizes to Simplify. Innovate. Grow.</div><div></div><div><br>
If you are a person with a disability needing assistance with the application process please:</div><ul><li><div>
 Email us at <div>calix.interview@calix.com</div>; or</div></li><li><div>
Call us at +1 (408) 514-3000.</div></li></ul><div></div><div>
Calix is a Drug Free Workplace.</div></div></div></div></div></div><div></div>

Senior Machine Learning Engineer

<div>Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value.<div></div><div>
At Calix, we deliver best-in-class benefits to our employees. You will support the Benefits Team in administering and improving benefits programs for our US, Canada, and International employees. Collaborating with internal teams and external partners, you will streamline processes, ensure compliance with regulations, and enhance the employee experience.</div><div></div><div>
This position is a fully remote, 6-month contractor position that reports to our Director, Benefits.</div><div></div><div>
What You&rsquo;ll Do</div><ul><li>
Benefits Onboarding: Facilitate and deliver U.S. and Canada weekly new hire benefits orientations.</li><li>
Employee Support: Monitor Benefits Inbox and serve as a liaison to employees by providing guidance and support with answering questions, resolving issues, interpreting policy provisions and handling complex employee cases.</li><li>
Open Enrollment: Support U.S. Open Enrollment, scheduling learning sessions, and developing presentations and communications.</li><li>
Workday Enrollment: Monitor the Workday Benefits module to review and approve mid-year enrollment changes, Evidence of Insurability approvals, track late enrollees, and verify documentation.</li><li>
Systems Testing: Perform testing and routine audits of our internal and third-party systems for accuracy.</li><li>
Audit and Reconciliation: Responsible for tracking and reconciling monthly invoices, initiating payment of invoices for approval through Accounts Payable, ensuring timely payment of premiums and tracking payments.</li><li>
Payroll Processing: Process U.S. and Canada semi-monthly payroll changes of benefit deductions, including retroactive adjustments and monthly auditing.</li><li>
Leave Coordination: Coordinate all employee requests for Leaves of Absence with Calix&rsquo;s third-party Leave Administrator. Communicate with managers and update leave and time tracking systems.</li><li>
Process Documentation: Create and maintain process documentation for Handbooks, policies and procedures, FAQs.</li><li>
Global Support: Support global projects and initiatives as assigned, such as annual plan renewals, developing plan metrics, creation of new policy documents, review of benefits contracts and summaries, wellness initiatives, summarizing plan changes, evaluating costs, and other projects as assigned.</li><li>
Intranet and Communications: Create and update internal employee resources including employee intranet (SharePoint), external benefits portals, PowerPoint presentations, internal communications, announcements and chatter posts.</li><li>
Special Projects: Support the rollout of new program implementations and initiatives to include policy and document review, developing internal communications, while partnering with internal and external stakeholders.</li><li>
Process Automation: Continuously evaluate our programs, processes and procedures and identify opportunities for improvement through AI and automation tools.</li></ul><div></div><div>
Qualifications:</div><ul><li>
Minimum 5+ years of experience working as a Benefits Analyst or related HR field</li><li>
Hands-on experience with day-to-day benefits administration</li><li>
Ability to manage multiple priorities in a fast-paced environment.</li><li>
Demonstrated self-starter and self-manager, with persistent follow-through on assignments.</li><li>
Strict confidentiality of employee and company data required.</li><li>
Exceptional verbal/written skills and attention to detail.</li><li>
Workday or other HR information system experience is a plus.</li></ul><div></div><div>
Preferred Education, Certifications, and Professional Licenses:</div><ul><li>
BA or BS degree is required in Business Administration, Human Resources or related field.</li><li>
GBA, CEBS certification is a plus.</li><li>
AI training certification is a plus.</li></ul><div></div><div>
Location:</div><ul><li>
This is a remote position located in the United States.</li></ul><div></div><div>
#LI-Remote</div></div><div></div>
<br><div><p>About Us</p><p></p><div><div><div><div><div>
PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at <div>talentandculture@calix.com</div>.</div><div></div><div>
Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We&rsquo;re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.</div><div></div><div>
This is the Calix mission - to enable CSPs of all sizes to Simplify. Innovate. Grow.</div><div></div><div><br>
If you are a person with a disability needing assistance with the application process please:</div><ul><li><div>
 Email us at <div>calix.interview@calix.com</div>; or</div></li><li><div>
Call us at +1 (408) 514-3000.</div></li></ul><div></div><div>
Calix is a Drug Free Workplace.</div></div></div></div></div></div><div></div>

Senior Benefits Analyst (Contractor)

Join Calix and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Calix

ABOUT_COMPANY

Senior Machine Learning Engineer

Senior Benefits Analyst (Contractor)