Senior Machine Learning Engineer

Multiple positions for GEN AI . -Immediate joiners onlyWe have 20 positions looking for immediate joiners. Kindly apply.1.AI Engineer / GenAI DeveloperExperience :- Minimum 5 years AI Development Location :- any NTT Data Location - Hybrid Remote (1 day / week from office) Shift Timing :– 02:00 PM to 12:00 AM IST ; MUST Have Mandatory skills (non-negotiable) • Minimum 5 Year development experience using Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx • Hands on experience with AgenticAI Development, RAG Pipelines, LLM • 1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools2 GCP AI Infrastructure Engineer Position :- GCP AI Infrastructure engineer Experience :- Minimum 8 years relevant in Machine Learning Location :- any NTT Data Location - Hybrid Remote (1 day / week from office) Rate Card :- Rs 1000/hr Shift Timing :– 02:00 PM to 12:00 AM IST ; MUST Have Mandatory skills (non-negotiable) • Minimum 5 Year experience with Google Cloud infrastructure DevOps, Google Cloud Platform (GCP), especially Vertex AI • Experience with IBM Watsonx for AI application • Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins) and IaC tools (Terraform, Pulumi, Ansible, Deployment Manager)3 Machine Learning Engineer (Production & MLOps FocusExperience :- Minimum 5 years relevant in Machine Learning ; Minimum 5 Year experience with MLOps, or large-scale AI/DS systems • Hands on with Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL • Hands on Experience with deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML) • Experience with containerization (Docker, Kubernetes) & orchestration (Airflow, TFX, Kubeflow), should be familiar with CI/CD pipelines, Infrastructure-as-Code (Terraform/Helm) Location :- any NTT Data Location - Hybrid Remote (1 day / week from office) Shift Timing :– 02:00 PM to 12:00 AM IST4 Senior MLOps / AIOps Platform Engineer Position :- Senior MLOps / AIOps Platform Engineer Experience :- Minimum 5 years relevant in MLOps / AIOps Location :- any NTT Data Location - Hybrid Remote (1 day / week from office) Shift Timing :– 02:00 PM to 12:00 AM IST; 5+ years in MLOps, DevOps, Platform Engineering, or Infrastructure Engineering. • 2+ years applying DevSecOps practices (secure CI/CD, vulnerability management, policy enforcement). • Hands-on experience configuring and managing enterprise AI/ML platforms (IBM watsonx, Google Vertex AI). • Demonstrated success in building and scaling ML infrastructure, automation pipelines, and platform support models.5 - Lead Machine Learning Engineer (Production & MLOps Focus)Lead Machine Learning Engineer (Production & MLOps Focus) Experience :- Minimum 8 years relevant in Machine Learning Location :- any NTT Data Location - Hybrid Remote (1 day / week from office) Shift Timing :– 02:00 PM to 12:00 AM IST; Minimum 8 Year experience with MLOps, or large-scale AI/DS systems • Hands on with Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL • Hands on Experience with deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML) • Experience with containerization (Docker, Kubernetes) & orchestration (Airflow, TFX, Kubeflow), should be familiar with CI/CD pipelines, Infrastructure-as-Code (Terraform/Helm)Company Name: VARITE INDIA PRIVATE LIMITEDAbout The Client: A global IT services and consulting company, multinational information technology (IT), headquartered in Tokyo, Japan. The Client offers a wide array of IT services, including application development, infrastructure management, and business process outsourcing. Their consulting services span business and technology, while their digital solutions focus on transformation and user experience design. It excels in data and intelligence services, emphasizing analytics, AI, and machine learning. Additionally, their cybersecurity, cloud, and application services round out a comprehensive portfolio designed to meet the diverse needs of businesses worldwide.How to Apply: Interested candidates are invited to submit their resume using the apply online button on this job post.About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.Unlock Rewards: Refer Candidates and Earn.If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.Exp Req - Referral Bonus0 - 2 Yrs. - INR 5,0002 - 6 Yrs. - INR 7,5006 + Yrs. - INR 10,000