Qureos Mentor

Infogain

<div>
 
 Dear Candidates
 
 
 
 
 <ul>
 <li>
 We are looking to hire an Assistant Manager &ndash; Privacy to join our global security and compliance team. In this role, you will be responsible for supporting the execution of the organization&rsquo;s data privacy strategy, aligning with evolving regulatory landscapes like
 
 GDPR, CCPA, DPDP Act (India), PDPA (Singapore),and others.
 
 </li>
 <li>
 The ideal candidate will work closely with the CISO/DPO, Legal, IT, HR, and Product teams to ensure that personal data across the organization is handled ethically, securely, and lawfully. You will also help manage privacy compliance across client projects, internal systems, and third-party vendors.
 </li>
 </ul>
 
 
 
 Job Location:
 
 
 
 <ul>
 <li>
 Sector 60, Noida &ndash; Gautam Budh Nagar, Uttar Pradesh
 </li>
 </ul>
 
 
 
 Job Description:
 
 
 
 
 Job Title: Assistant Manager &ndash; Privacy
 
 
 
 Position Overview
 
 
 <ul>
 <li>
 In this role, you will be responsible for supporting the execution of the organization&rsquo;s data privacy strategy, aligning with evolving regulatory landscapes like
 
 GDPR, CCPA, DPDP Act (India), PDPA (Singapore), and others
 
 .
 </li>
 </ul>
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Assist in implementing and maturing the enterprise-wide Privacy Governance Framework.
 </li>
 </ul>
 
 
 
 Conduct and maintain:
 
 
 
 <ul>
 <li>
 
 Data Protection Impact Assessments (DPIAs)
 
 </li>
 <li>
 Records of Processing Activities (RoPA)
 </li>
 <li>
 
 Privacy Threshold Assessments (PTAs)
 
 </li>
 <li>
 Coordinate with internal stakeholders to embed Privacy by Design and Default into business processes, applications, and product lifecycles.
 </li>
 <li>
 Manage Data Subject Access Requests (DSARs), erasure requests, and consent management processes.
 </li>
 <li>
 
 Monitor compliance with international data protection regulations including GDPR, CCPA, India DPDP Act, and sectoral laws.
 
 </li>
 <li>
 
 Conduct third-party vendor privacy assessments and review Data Processing Agreements (DPAs) and Standard Contractual Clauses (SCCs)
 
 .
 </li>
 <li>
 Track and report on global privacy regulatory changes and recommend organizational response strategies.
 </li>
 <li>
 Contribute to the development and maintenance of privacy policies, cookie notices, privacy notices, and internal standards.
 </li>
 <li>
 Support internal audits and collaborate with Legal and IT teams on investigations and breach response.
 </li>
 <li>
 Develop and deliver privacy training and awareness programs across global teams.
 </li>
 <li>
 Participate in external privacy forums, working groups, and keep pace with industry trends.
 </li>
 </ul>
 
 
 Required Skills and Qualifications
 
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Law, Cybersecurity, Computer Science, Information Systems, or related discipline.
 </li>
 <li>
 A Master's degree (MBA, LLM, or MS in Cyber Law/Information Security) is highly desirable.
 </li>
 </ul>
 
 
 
 Experience:
 
 
 
 <ul>
 <li>
 
 6 years of dedicated experience in privacy, data protection, IT compliance, or legal advisory roles.
 
 </li>
 <li>
 Demonstrated experience working on privacy programs in IT services, SaaS, or BPO/ITES environments.
 </li>
 </ul>
 
 
 
 Certifications (preferred):
 
 
 
 <ul>
 <li>
 
 Mandatory (any two preferred):
 
 </li>
 <li>
 
 CIPP/E, CIPP/US, CIPM, CIPT
 
 </li>
 <li>
 
 DCPP (Data Privacy Certified Professional)
 
 </li>
 <li>
 
 ISO/IEC 27701 Lead Implementer/Auditor
 
 </li>
 </ul>
 
 
 
 Bonus:
 
 
 
 <ul>
 <li>
 
 ISO 27001 LA, CRISC, or knowledge of NIST Privacy Framework
 
 </li>
 <li>
 Technical &amp; Legal Knowledge:
 </li>
 <li>
 Solid understanding of:
 </li>
 <li>
 
 GDPR, CCPA/CPRA, India DPDP Act, PDPA (SG/MY), HIPAA
 
 </li>
 <li>
 Cross-border data transfer mechanisms (SCCs, BCRs, Privacy Shield invalidation context)
 </li>
 <li>
 Consent management and cookie compliance platforms
 </li>
 <li>
 Familiarity with privacy management tools
 </li>
 <li>
 Strong grasp of privacy risk assessment and mitigation techniques
 </li>
 <li>
 Excellent communication and stakeholder engagement skills
 </li>
 <li>
 Ability to draft and interpret privacy policies, legal notices, and security-related documentation
 </li>
 <li>
 Comfortable working with engineering teams and understanding basic security controls
 </li>
 <li>
 Analytical mindset with attention to legal, technical, and operational details
 </li>
 </ul>
 
 
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong sense of integrity, discretion, and professional ethics
 </li>
 <li>
 Self-motivated, proactive, and able to work independently in a fast-paced environment
 </li>
 <li>
 Strong organizational and project management abilities
 </li>
 </ul>
 
 
 
 
 Please share your resume on anoushka.goyal@infogain.com
 
</div>

Assistant Manager

<div>ROLES &amp; RESPONSIBILITIES
<div>Job Description &ndash; AI Engineer (ML &amp; GenAI)
About the Role
We are seeking a highly skilled AI Engineer with expertise in Machine Learning (ML) and Generative AI (GenAI) to design, build, and deploy intelligent solutions that drive business impact. The ideal candidate is a hands-on technologist who can work across the AI lifecycle&mdash;from data preprocessing and feature engineering to model development, fine-tuning, deployment, and monitoring.
Key Responsibilities<ul><li>AI/ML Development</li></ul>
o Design, develop, and optimize ML models for classification, regression, recommendation, forecasting, and anomaly detection.
o Implement GenAI solutions including LLMs, text-to-SQL, and conversational AI applications.
o Fine-tune and optimize pre-trained models (e.g., GPT, LLaMA, Falcon, Stable Diffusion).
o Perform feature engineering, hyperparameter tuning, and model evaluation.<ul><li>Data Engineering &amp; Pipelines</li></ul>
o Build and maintain scalable data pipelines for training and inference.
o Work with structured and unstructured data
o Implement vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG).<ul><li>Model Deployment &amp; MLOps</li></ul>
o Deploy models to production using Docker, Kubernetes, and CI/CD pipelines.
o Implement monitoring, model drift detection, and retraining workflows.
o Ensure scalability and low-latency inference using APIs and serving frameworks (e.g., TensorFlow Serving, TorchServe, FastAPI).<ul><li>Research &amp; Innovation</li></ul>
o Stay updated on state-of-the-art ML and GenAI advancements.
o Experiment with new architectures and methods (transformers, diffusion models, reinforcement learning).
o Collaborate with cross-functional teams to translate business requirements into AI-driven solutions. 
Required Skills &amp; Experience<ul><li>Education &amp; Background</li></ul>
o Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI/ML, Data Science, or related field.
o 4&ndash;8 years of hands-on experience in ML/AI engineering.<ul><li>Core Technical Skills</li></ul>
o Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
o Experience with LLMs, transformers, embeddings, RAG pipelines.
o Proficiency in NLP, Computer Vision, and GenAI techniques.
o Proficient in LangChain, LlamaIndex, Hugging Face Transformers
o Familiarity with prompt engineering and fine-tuning LLMs.
o Strong understanding of algorithms, statistics, and optimization.<ul><li>MLOps &amp; Cloud</li></ul>
o Experience with AWS or Azure AI/ML services.
o Hands-on with Docker, Kubernetes, CI/CD, and model deployment.
o Familiarity with MLflow, Kubeflow, or Vertex AI.<ul><li>Other Skills</li></ul>
o Strong problem-solving, debugging, and performance optimization skills.
o Ability to write clean, scalable, and production-grade code.
o Excellent collaboration and communication skills.
Nice-to-Have<ul><li>Exposure to reinforcement learning (RLHF) and multi-agent AI systems.</li><li>Knowledge of ethical AI, bias detection, and model interpretability.</li></ul></div>
EXPERIENCE
<ul><div>6-8 Years</div>
</ul>SKILLS
<ul><div>Primary Skill: AI/ML Development</div>
<div>Sub Skill(s): AI/ML Development
</div><div>Additional Skill(s): Python, AI/ML Development, TensorFlow, Pytorch, Retrieval-Augmented Generation (RAG)</div>
</ul>ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</div>

AI / ML Developer (Senior)

<div>ROLES &amp; RESPONSIBILITIES
<div>Job Description &ndash; AI Engineer (ML &amp; GenAI)
About the Role
We are seeking a highly skilled AI Engineer with expertise in Machine Learning (ML) and Generative AI (GenAI) to design, build, and deploy intelligent solutions that drive business impact. The ideal candidate is a hands-on technologist who can work across the AI lifecycle&mdash;from data preprocessing and feature engineering to model development, fine-tuning, deployment, and monitoring.
Key Responsibilities<ul><li>AI/ML Development</li></ul>
o Design, develop, and optimize ML models for classification, regression, recommendation, forecasting, and anomaly detection.
o Implement GenAI solutions including LLMs, text-to-SQL, and conversational AI applications.
o Fine-tune and optimize pre-trained models (e.g., GPT, LLaMA, Falcon, Stable Diffusion).
o Perform feature engineering, hyperparameter tuning, and model evaluation.<ul><li>Data Engineering &amp; Pipelines</li></ul>
o Build and maintain scalable data pipelines for training and inference.
o Work with structured and unstructured data
o Implement vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG).<ul><li>Model Deployment &amp; MLOps</li></ul>
o Deploy models to production using Docker, Kubernetes, and CI/CD pipelines.
o Implement monitoring, model drift detection, and retraining workflows.
o Ensure scalability and low-latency inference using APIs and serving frameworks (e.g., TensorFlow Serving, TorchServe, FastAPI).<ul><li>Research &amp; Innovation</li></ul>
o Stay updated on state-of-the-art ML and GenAI advancements.
o Experiment with new architectures and methods (transformers, diffusion models, reinforcement learning).
o Collaborate with cross-functional teams to translate business requirements into AI-driven solutions. 
Required Skills &amp; Experience<ul><li>Education &amp; Background</li></ul>
o Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI/ML, Data Science, or related field.
o 4&ndash;8 years of hands-on experience in ML/AI engineering.<ul><li>Core Technical Skills</li></ul>
o Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
o Experience with LLMs, transformers, embeddings, RAG pipelines.
o Proficiency in NLP, Computer Vision, and GenAI techniques.
o Proficient in LangChain, LlamaIndex, Hugging Face Transformers
o Familiarity with prompt engineering and fine-tuning LLMs.
o Strong understanding of algorithms, statistics, and optimization.<ul><li>MLOps &amp; Cloud</li></ul>
o Experience with AWS or Azure AI/ML services.
o Hands-on with Docker, Kubernetes, CI/CD, and model deployment.
o Familiarity with MLflow, Kubeflow, or Vertex AI.<ul><li>Other Skills</li></ul>
o Strong problem-solving, debugging, and performance optimization skills.
o Ability to write clean, scalable, and production-grade code.
o Excellent collaboration and communication skills.
Nice-to-Have<ul><li>Exposure to reinforcement learning (RLHF) and multi-agent AI systems.</li><li>Knowledge of ethical AI, bias detection, and model interpretability.</li></ul></div>
EXPERIENCE
<ul><div>3-4.5 Years</div>
</ul>SKILLS
<ul><div>Primary Skill: AI/ML Development</div>
<div>Sub Skill(s): AI/ML Development
</div><div>Additional Skill(s): Python, AI/ML Development, TensorFlow, Pytorch, Retrieval-Augmented Generation (RAG)</div>
</ul>ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</div>

AI / ML Developer (Standard)

Join Infogain and explore 3   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.

Infogain

ABOUT_COMPANY

Assistant Manager

AI / ML Developer (Senior)

AI / ML Developer (Standard)