207 Vertex Ai Jobs - Page 6

You will be joining our team as a Machine Learning / AI expert with 4-7 years of experience, dedicated to creating impactful GenAI solutions using Vertex AI on Google Cloud. If you are passionate about cutting-edge AI/LLM technologies and enjoy driving Proof of Concept (POC) delivery, we are excited to invite you to apply! Your responsibilities will include collaborating with both business and technical teams to define and implement GenAI/ML use cases as POCs. You will be responsible for building and deploying ML/GenAI models on Google Vertex AI, fine-tuning and evaluating LLMs for real-world applications, working closely with data engineers to design secure and scalable ML pipelines, as well as documenting and maintaining reproducible workflows. To succeed in this role, you must possess 4-7 years of hands-on experience in ML/AI project delivery. A strong foundation in machine learning, deep learning, and LLMs is essential. Proficiency with Vertex AI tools such as AutoML, Pipelines, Model Registry, and GenAI Studio is required. Strong Python skills with knowledge of TensorFlow, PyTorch, Hugging Face, and scikit-learn are also crucial. Experience in prompt engineering, model tuning, and evaluation, along with excellent collaboration and communication skills across cross-functional teams, are key attributes we are looking for. Additionally, familiarity with PaLM, Gemini, or other open-source LLMs, knowledge of LangChain, experience with GCP services like BigQuery, Cloud Functions, Cloud Storage, proficiency in CI/CD for ML, and understanding of Docker/Kubernetes are considered as bonus skills. A background in media/OTT/Web platforms and experience with large-scale media datasets would be advantageous for this role.,

Greetings from Sun Technologies. Position: AI Engineer Years Of Experience: 5+ Years Work Location: HBR Layout, Bangalore (work from office) Job Type: Permanent/Fulltime Position Interview Mode : Virtual Shift Details: 12:30 PM TO 9:30 PM-IST (Free 2 ways cab with dinner) Roles Responsibilities: Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python If interested please share updated resume to chandanap@suntechnologies.com, appreciate for references.

Key Responsibilities Design and implement machine learning models to address business challenges using structured and semi-structured data. Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Build end-to-end ML pipelines in collaboration with data engineering and product teams. Use Google Vertex AI components such as: Vertex Pipelines AutoML and Custom Training Vertex AI Workbench / Notebooks Vertex Feature Store Optimize model training, deployment, and monitoring workflows using MLOps best practices. Translate business requirements into analytical models with measurable outcomes. Required Skills 2-4 years of experience in data science and applied machine learning. Expertise in: Python, SQL, R, TensorFlow or PyTorch Feature engineering, model tuning, evaluation, and interpretation 1 year of experience working with Google Vertex AI or similar GCP ML tools. Strong grasp of machine learning concepts: supervised/unsupervised learning, recommendation engines, time series forecasting, etc. Exposure to BigQuery, Cloud Storage, or Dataflow for large-scale data manipulation. Preferred Skills Vertex AI Pipelines and Feature Store ML lifecycle automation and CI/CD for ML (MLflow, TFX, etc.) Docker, Airflow, or Cloud Composer for orchestration Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) are a plus. Interested candidates can share resume at- ashurustagi@kpmg.com

As a GCP Architect with AI Expertise, you will play a crucial role in leading the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud Platform (GCP). Your deep expertise in cloud infrastructure, AI/ML, networking, and security will be essential for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments. Your responsibilities will include designing and implementing scalable, secure, and cost-effective architectures on GCP, developing AI/ML-driven solutions using tools such as Vertex AI, BigQuery ML, TensorFlow, and AutoML, and architecting end-to-end data pipelines to support AI model training, deployment, and monitoring. You will also be responsible for building high-availability, backup, and disaster recovery solutions in GCP. In terms of infrastructure and security, you will implement identity management, IAM policies, security protocols, and network segmentation, design and automate provisioning of networks, firewalls, ACLs, and access control policies, and ensure compliance with security and governance frameworks for cloud-based AI workloads. Additionally, you will manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations. Your role will also involve leading large-scale application and network migrations to GCP, developing Terraform-based infrastructure automation, and managing Infrastructure as Code (IaC). You will implement CI/CD pipelines for AI/ML workloads using tools like GitHub, Jenkins, and Ansible, and design DevOps solutions with cloud-native tools and containerized workloads on GKE. As a technical leader and advisor, you will provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization, lead requirements gathering, solution design, and implementation for GCP cloud-based AI solutions, and support pre-sales activities, including POCs, RFP responses, and SOW creation. You will mentor and provide technical oversight to engineering teams and serve as a trusted cloud advisor for customers, helping them solve complex cloud infrastructure and AI challenges. Furthermore, you will be responsible for optimizing cloud resource usage, cost management, and AI model performance, conducting cloud usage analytics, security audits, and AI model monitoring, and developing strategies to improve network reliability, redundancy, and high availability. If you are passionate about cloud transformation, AI, and solving complex infrastructure challenges, this role presents a perfect opportunity for you to make a meaningful impact in the field of cloud and AI technologies.,

As a high-impact AI/ML Engineer, you will lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You will be an integral part of a fast-paced, outcome-oriented AI & Analytics team, collaborating with data scientists, engineers, and product leaders to translate business use cases into real-time, scalable AI systems. Your responsibilities in this role will include architecting, developing, and deploying ML models for multimodal problems encompassing vision, audio, and NLP tasks. You will be responsible for the complete ML lifecycle, from data ingestion to model development, experimentation, evaluation, deployment, and monitoring. Leveraging transfer learning and self-supervised approaches where appropriate, you will design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborating with MLOps, data engineering, and DevOps teams, you will operationalize models using technologies such as Docker, Kubernetes, or serverless infrastructure. Continuously monitoring model performance and implementing retraining workflows to ensure sustained accuracy over time will be a key aspect of your role. You will stay informed about cutting-edge AI research and incorporate innovations such as generative AI, video understanding, and audio embeddings into production systems. Writing clean, well-documented, and reusable code to support agile experimentation and long-term platform development is an essential part of this position. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a minimum of 5-8 years of experience in AI/ML Engineering, including at least 3 years in applied deep learning. In terms of technical skills, you should be proficient in Python, with knowledge of R or Java being a plus. Additionally, you should have expertise in ML/DL Frameworks like PyTorch, TensorFlow, and Scikit-learn, as well as experience in Computer Vision tasks such as image classification, object detection, OCR, segmentation, and tracking. Familiarity with Audio AI tasks like speech recognition, sound classification, and audio embedding models is also desirable. Strong capabilities in Data Engineering using tools like Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data are required. Knowledge of NLP/LLMs, Cloud & MLOps services, deployment & infrastructure technologies, and CI/CD & Version Control tools are also beneficial. Soft skills and competencies that will be valuable in this role include strong analytical and systems thinking, effective communication skills to convey models and results to non-technical stakeholders, the ability to work cross-functionally with various teams, and a demonstrated bias for action, rapid experimentation, and iterative delivery of impact.,

The primary responsibility of this role is to design, develop, and implement cutting-edge image and video generation systems leveraging deep learning models. You will take the lead in exploring and prototyping diffusion, GAN, and transformer-based architectures for generative tasks. Your expertise will be instrumental in optimizing models for quality, speed, and scalability through accelerated compute technologies such as CUDA and TensorRT. Collaboration with cross-functional teams including Product, Design, and Frontend will be essential to seamlessly integrate AI pipelines into production applications and platforms. Additionally, you will play a key role in contributing to system architecture, ensuring reproducibility, versioning, and model evaluation, while also staying updated on the latest advancements in generative AI to facilitate the transition from research and development to production. To excel in this role, you should possess a minimum of 2 years of hands-on experience in the field of AI/ML with a strong emphasis on generative models. Your track record should include practical experience with video generation models like Sora, Gen-2 by Runway, Synthesia, or custom pipelines. A solid background in image generation using Diffusion Models (e.g., Stable Diffusion, DALLE, Imagen) or GANs (e.g., StyleGAN2/3) is essential. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is required, along with experience in training large-scale models using multi-GPU setups like DDP, DeepSpeed, or Hugging Face Accelerate. A sound understanding of computer vision, image processing, and neural rendering techniques is crucial, as well as practical skills in model fine-tuning and related methodologies like LoRA/PEFT, ControlNet, DreamBooth, and others. Preferred tools and frameworks for this role include Stable Diffusion, DALLE, MidJourney, Sora, Gen-2, VQ-GAN, Pix2Pix, CycleGAN, AnimateDiff, ControlNet, T2I-Adapter, VideoCrafter, Pika Labs, ZeroScope, and ModelScope. Proficiency in FastAPI, Flask, or gRPC for model serving and Streamlit, Gradio, or React for rapid prototyping is advantageous. Experience with cloud platforms such as AWS, GCP, or Azure, particularly with GPU instances, and serving models using TorchServe, NVIDIA Triton, or Vertex AI, will be beneficial in ensuring scalable model deployment. This is a full-time position with a flexible schedule and a day shift from Monday to Friday. The ideal candidate will have a minimum of 2 years of experience in machine learning. The work location is in person, and the expected start date is 01/08/2025.,

Hi, Greetings from Sun Technology Integrators!! This is regarding a job opening with Sun Technology Integrators, Bangalore. Please find below the job description for your reference. Kindly let me know your interest and share your updated CV to nandinis@suntechnologies.com ASAP. Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python Please let me know, if any of your friends are looking for a job change. Kindly share the references. Please Note: WFO- Work From Office (No hybrid or Work From Home) Shift Details: IST Shift - 12.30 PM to 9.30 PM IST -2 ways free cab facility(Pickup+Drop) Years of Exp-5 to 10 years Interview Mode- 2 rounds Virtual interview Thanks and Regards, Nandini S | Sr.Technical Recruiter Sun Technology Integrators Pvt. Ltd. nandinis@suntechnologies.com www.suntechnologies.com

Responsibilities: * Design, develop & deploy generative AI models using ML algorithms on GCP cloud. * Optimize model performance through data analysis & experimentation.

House of Shipping is seeking a high-caliber Data Science Lead to join their team in Hyderabad. With a background of 15-18 years in data science, including at least 5 years in leadership roles, the ideal candidate will have a proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing. Strong expertise in statistical learning, ML architecture, productionizing models, and impact tracking is essential for this role. As the Data Science Lead, you will be responsible for leading enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This position requires a blend of technical leadership and strategic alignment with various business units to deliver measurable business impact. Key responsibilities include defining and driving the data science roadmap across forecasting, route optimization, warehouse simulation, inventory management, and fraud detection. You will work closely with engineering teams to architect end-to-end pipelines, from data ingestion to API deployment. Proficiency in Python and MLOps tools like Scikit-Learn, XGBoost, PyTorch, MLflow, Vertex AI, or AWS SageMaker is crucial for success in this role. Collaboration with operations, product, and technology teams to prioritize AI use cases and define business metrics will be a key aspect of the job. Additionally, you will be responsible for managing experimentation frameworks, mentoring team members, ensuring model validation, and contributing to organizational data maturity. The ideal candidate will possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Statistics, or Operations Research. Certifications in Cloud ML stacks, MLOps, or Applied AI are preferred. To excel in this role, you should have a strategic vision in AI applications across the supply chain, strong team mentorship skills, expertise in statistical and ML frameworks, and experience in MLOps pipeline management. Excellent business alignment and executive communication skills are also essential for this position. If you are a data science leader looking to make a significant impact in the logistics industry, we encourage you to apply for this exciting opportunity with House of Shipping.,

Software Development (Tech Lead) Location: Bangalore, India Experience: 8 years/ WFO Company Overview: Omnicom Global Solutions (OGS) is an integral part of Omnicom Group , a leading global marketing and corporate communications company. Omnicoms branded networks and numerous specialty firms provide advertising and communications services to over 5,000 clients in more than 70 countries. Let us build this together! Flywheel operates a leading cloud-based digital commerce platform across the worlds major digital marketplaces. It enables our clients to access near real-time performance measurement and improve sales, share, and profit. Through our expertise, scale, global reach, and highly sophisticated AI and data-powered solutions, we provide differentiated value for both the worlds largest consumer product companies and fast-growing brands. Job Description: We are seeking an experienced and dynamic Software Development Lead to drive end-to-end development, architecture, and team leadership in a fast-paced ecommerce environment. The ideal candidate combines deep technical expertise with strong people leadership and a strategic mindset. You’ll lead a cross-functional team building scalable, performant, and reliable systems that impact millions of users globally. Roles and Responsibilities: Technical Leadership & Architecture Make high-impact architectural decisions and lead the design of large-scale systems. Guide the team in leveraging AWS/cloud infrastructure and scalable platform components. Lead implementation of performance, scalability, and security non-functional requirements (NFRs). Design and implement engineering metrics that demonstrate improvement in team velocity and delivery. Oversee AI/ML system integrations and support production deployment of machine learning models. Engineering Execution Own release quality and delivery timelines; unblock teams and anticipate risks. Balance technical debt with roadmap delivery and foster a culture of ownership and excellence. Support the CI/CD framework and define operational readiness including alerts, monitoring, and rollback plans. Collaborate with Data Science/ML teams to deploy, monitor, and scale intelligent features (e.g., personalization, predictions, anomaly detection). People Leadership & Mentorship Mentor and grow a high-performing engineering team through feedback, coaching, and hands-on guidance. Drive onboarding and succession planning in alignment with long-term team strategy. Evaluate performance and create career growth plans for direct reports. Cross-Functional Collaboration Represent engineering in product reviews and planning forums with PMs, QA, and Design. Communicate technical vision, delivery risks, and trade-offs with business and technical stakeholders. Work with Product and Business Leaders to align team output with organizational goals. Project Management & Delivery Lead planning, estimation, and execution of complex product features or platform initiatives. Manage competing priorities, refine team capacity, and ensure timely and reliable feature rollout. Provide visibility into team performance through clear reporting and delivery metrics. Culture & Continuous Improvement Lead by example in fostering inclusion, feedback, and a growth-oriented team culture. Promote a DevOps mindset: reliability, ownership, automation, and self-service. Identify AI/ML opportunities within the platform and work with products to operationalize them. This may be the right role for you if you have. 8+ years of experience in software engineering, with at least 3 years in technical leadership or management roles. Strong backend expertise in Java or Python; hands-on experience with Spring Boot, Django, or Flask. Deep understanding of cloud architectures (AWS, GCP) and system design for scale. Strong knowledge of frontend frameworks (React/AngularJS) and building web-based SaaS products. Proven ability to guide large systems design, service decomposition, and integration strategies. Experience in applying ML/AI algorithms in production settings (recommendation engines, ranking models, NLP). Familiarity with ML lifecycle tooling such as MLflow, Vertex AI, or SageMaker is a plus. Proficiency in CI/CD practices, infrastructure-as-code, Git workflows, and monitoring tools. Comfortable with Agile development practices and project management tools like JIRA. Excellent analytical and problem-solving skills; capable of navigating ambiguity. Proven leadership in mentoring and team culture development. Desired Skills Experience in ecommerce, digital advertising, or performance marketing domains Exposure to data engineering pipelines or real-time data processing (Kafka, Spark, Airflow). Agile or Scrum certification. Demonstrated success in delivering high-scale, distributed software platforms. What Will Set You Apart: You’re a system thinker who can break down complex challenges and design for resilience. You proactively support cross-team success and remove friction for others. You build high-performing teams through mentoring, clear expectations, and shared ownership. You champion technical quality and foster a team that thrives on accountability and continuous learning.

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana (IN-TG), India. As a part of this inclusive and forward-thinking organization, you will need to have 4+ years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. The ideal candidate should have at least 2+ years of working experience with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products at scale using cloud services and architectures. Additionally, you should possess 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Exposure to Playbooks, Vertex AI, ADK, and Voice AI is also required. It would be beneficial to have knowledge of LangChain and/or LangGraph, and 4+ years of experience in the Contact Center industry, specifically in design, development, testing, integration with vendors, CRMs, and business applications. Proficiency in IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, and customer journey optimization using AI/ML is a plus. Furthermore, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, NoSQL Databases (Cassandra or Mongo), Graph Databases, and Public Cloud Marketplace services is desirable. Experience with Deep Domain Driven Design and cloud-native Microservices designed for massive scale and seamless resiliency on platforms like PCF/VMWare Tanzu, K8s, or Serverless cloud technologies will be an advantage. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in over 50 countries and a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is also a leading provider of digital and AI infrastructure worldwide, committed to helping clients innovate, optimize, and transform for long-term success. If you are an exceptional, innovative, and passionate individual looking to grow with a prestigious organization, apply now to be a part of NTT DATA's dynamic team.,

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join the team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent, demonstrated through work experience, training, military experience, or education. To be considered for this role, you must have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, with a proven track record of delivering products using cloud services and architectures at scale. Additionally, you should have at least 2 years of experience with Python, and 3 years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Experience with Playbooks and Vertex AI is required, along with exposure to ADK and Voice AI. Knowledge of LangChain and/or LangGraph is considered a plus. Furthermore, candidates with 4+ years of Contact Center industry experience, including design, development, testing, integration with vendors, CRMs, and business applications, are preferred. Familiarity with IVR/IVA, NLU/NLP, Real-Time Omni channel Agent experience, customer journey, and CX/AX optimization using AI/ML is advantageous. Proficiency in Node JS, JAVA, Spring Boot, Kafka, Distributed Caches, Elastic Search technologies, GraphQL, and NoSQL Databases is beneficial. Experience with Graph Databases and Public Cloud Marketplace services is also a plus. Deep Domain Driven Design experience with cloud-native Microservices designed for massive scale and seamless resiliency is desirable, preferably deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. NTT DATA has a diverse team of experts in more than 50 countries and collaborates with a robust partner ecosystem. Their services encompass business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. As a leading provider of digital and AI infrastructure, NTT DATA is dedicated to advancing organizations and society into the digital future confidently and sustainably.,

As an AI/ML Engineer, you will be responsible for identifying, defining, and delivering AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Your role will involve designing, developing, and deploying models using Google Cloud's Vertex AI platform. You will be tasked with fine-tuning and evaluating Large Language Models (LLMs) for domain-specific applications and ensuring responsible AI practices and governance in solution delivery. Collaboration with data engineers and architects is essential to ensure robust and scalable pipelines. It will be your responsibility to document workflows and experiments for reproducibility and handover readiness. Your expertise in supervised, unsupervised, and reinforcement learning will be applied to develop solutions using Vertex AI features including AutoML, Pipelines, Model Registry, and Generative AI Studio. In this role, you will work on GenAI workflows, which includes prompt engineering, fine-tuning, and model evaluation. Proficiency in Python is required for developing in ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. Effective communication and collaboration across product, data, and business teams are crucial for the success of the projects. The ideal candidate should have hands-on experience with Vertex AI on GCP for model training, deployment, endpoint management, and MLOps. Practical knowledge of PaLM, Gemini, or other LLMs via Vertex AI or open-source tools is preferred. Proficiency in Python for ML pipeline scripting, data preprocessing, and evaluation is necessary. Expertise in ML/GenAI libraries like scikit-learn, TensorFlow, PyTorch, Hugging Face, and LangChain is expected. Experience with CI/CD for ML, containerization using Docker/Kubernetes, and familiarity with GCP services like BigQuery, Cloud Functions, and Cloud Storage are advantageous. Knowledge of media datasets and real-world ML applications in OTT, DTH, and Web platforms will be beneficial in this role. Qualifications required for this position include a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields. The candidate should have at least 3 years of hands-on experience in ML/AI or GenAI projects. Any relevant certifications in ML, GCP, or GenAI technologies are considered a plus.,

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. It is essential to have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, delivering products with cloud services and cloud architectures at scale. In addition, you should have 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Furthermore, 1+ years of experience with Playbooks and Vertex AI is required for this role. Exposure to ADK (hands-on) and Voice AI is a must. While not mandatory, having experience with LangChain and/or LangGraph is considered a plus. Additionally, 4+ years of Contact Center industry experience would be advantageous, including design, development, testing, integration with vendors, CRMs, and business applications. Proven knowledge in contact center subdomains such as IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, customer journey, and CX/AX experience optimization using AI/ML is beneficial. Moreover, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services is a good-to-have skill set. Experience with Deep Domain Driven Design with cloud-native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies for at least 2 years is also an added advantage. NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. Being a part of NTT DATA means being part of a diverse team of experts in over 50 countries, with a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally, and as part of the NTT Group, they invest significantly in R&D to help organizations and society move confidently and sustainably into the digital future. Visit their website for more information.,

As an AI Architect, you will be responsible for designing and deploying scalable, autonomous AI systems that seamlessly integrate with cloud platforms and enterprise workflows. Your role will involve leading AI strategy, evaluating emerging frameworks, and optimizing AI models for real-world applications, all while driving innovation in agentic AI. You will be tasked with architecting scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making. Additionally, you will provide technical leadership by guiding AI engineers and data scientists in implementing advanced architectures such as LLMs and multi-agent frameworks. Deployment of AI solutions on cloud platforms like AWS SageMaker, Azure ML, or Vertex AI, and utilizing tools like LangChain, AutoGPT, or Autogen will also be part of your responsibilities. Your role will also involve fine-tuning LLMs and AI models for domain-specific tasks such as real-time analytics and adaptive automation. You will prototype emerging AI architectures like neuro-symbolic systems and self-improving agents for production viability, and ensure system robustness through stress testing, bias mitigation, and compliance with ethical AI standards. Collaborating with stakeholders to align AI initiatives with business goals and advocate for AI-driven innovation will also be crucial. To excel in this role, you should have a minimum of 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks. Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools like SageMaker and Vertex AI is essential. A strong background in autonomous agents, multi-agent systems, and AI optimization is required. Experience with frameworks like LangChain, AutoGPT, or similar is a plus. You should also possess the ability to translate research into production-ready architectures, along with excellent communication and leadership skills. Join us at CoinFantasy, a revolutionary Play to Invest platform that offers a risk-free sandbox environment for exploring the end-to-end investment journey. As part of our innovative team, you will be pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Shape the future of finance and technology with us! Benefits of joining us include a competitive salary, performance incentives, being part of the Core Team in a fast-growing company, fulfilling and challenging work with real impact on the product, and unlimited growth opportunities both professionally and personally.,

6-10 years experience in data science and ML model development A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution. Solid understanding of regression, classification, and statistical methods Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using TensorBoard) Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud Composer (Apache Airflow) Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD pipelines (GitHub Actions, Cloud Build) Experience with monitoring and maintaining ML models in production, using Vertex AI Model Monitoring and related GCP tools Good to Have Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and Google Agent Development Kit (ADK) Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such as Discovery Engine SDK, Reasoning Engine SDK, and GKE

Position Summary: We are looking for a visionary and deeply experienced Principal Data Scientist with 15+ years of experience in advanced data science and machine learning, and proven leadership in Generative AI (GenAI) . You will be responsible for conceptualizing and delivering high-impact AI solutions using large language models (LLMs), diffusion models, and other GenAI techniques, while also mentoring teams and influencing AI strategy across the organization. Key Responsibilities: AI Strategy & Leadership Drive the strategic direction of Generative AI initiatives aligned with business objectives. Evaluate, prototype, and implement GenAI technologies (e.g., GPT, Claude, LLaMA, Stable Diffusion). Serve as an AI thought leader, influencing executive decision-making and shaping the company's AI roadmap. Model Development & Deployment Design and build advanced GenAI solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Lead the end-to-end development and deployment of ML/GenAI models into production environments. Develop scalable architectures for serving LLMs and other foundation models. Research & Innovation Stay at the forefront of GenAI advancements by engaging with academic research, open-source communities, and industry forums. Contribute to internal AI research initiatives and explore novel applications of generative models. Publish whitepapers, patents, or present at top AI conferences as applicable. Cross-functional Collaboration Collaborate closely with data engineering, product, design, and business stakeholders to translate complex needs into AI-powered solutions. Educate teams on the capabilities, limitations, and ethical considerations of GenAI. Mentorship & Governance Mentor and coach junior and mid-level data scientists. Establish best practices for model governance, ethical AI, bias mitigation, and model explainability. Define frameworks for AI evaluation, monitoring, and lifecycle management. Required Qualifications: 15+ years of experience in data science, machine learning, or artificial intelligence. Demonstrated expertise in building and deploying GenAI solutions, particularly with large-scale language and vision models. Deep knowledge of ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain). Strong programming skills in Python and experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Vertex AI). Strong grounding in statistics, probability, optimization, and deep learning theory. Experience working with multimodal data (text, image, audio, video) and advanced NLP/NLG techniques. Preferred Qualifications: Ph.D. or Master's in Computer Science, Machine Learning, Mathematics, or related field. Experience with enterprise applications of GenAI (e.g., content generation, synthetic data, co-pilots, document understanding). Familiarity with MLOps and AI model lifecycle management in production environments. Knowledge of AI regulations, data privacy, and responsible AI frameworks.

The Data Science Lead position at our company is a key role that requires a skilled and innovative individual to join our dynamic team. We are looking for a Data Scientist with hands-on experience in Copilot Studio, M365, Power Platform, AI Foundry, and integration services. In this role, you will collaborate closely with cross-functional teams to design, build, and deploy intelligent solutions that drive business value and facilitate digital transformation. Key Responsibilities: - Develop and deploy AI models and automation solutions using Copilot Studio and AI Foundry. - Utilize M365 tools and services to integrate data-driven solutions within the organization's digital ecosystem. - Design and implement workflows and applications using the Power Platform (Power Apps, Power Automate, Power BI). - Establish, maintain, and optimize data pipelines and integration services to ensure seamless data flow across platforms. - Engage with stakeholders to comprehend business requirements and translate them into actionable data science projects. - Communicate complex analytical insights effectively to both technical and non-technical audiences. - Continuously explore and assess new tools and technologies to enhance existing processes and solutions. Required Skills and Qualifications: - 5-12 years of overall experience. - Demonstrated expertise in Copilot Studio, M365, Power Platform, and AI Foundry. - Strong understanding of data integration services and APIs. - Proficient in data modeling, data visualization, and statistical analysis. - Experience with cloud platforms like Azure or AWS is advantageous. - Exceptional problem-solving and critical-thinking abilities. - Effective communication and collaboration skills. - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Preferred Skills: - Familiarity with additional AI and machine learning frameworks. - Knowledge of agile methodologies and collaborative tools. - Certifications in Power Platform, Azure AI, or M365 are a plus. If you are a proactive and results-driven individual with a passion for data science and a desire to contribute to cutting-edge projects, we encourage you to apply for this challenging and rewarding opportunity as a Data Science Lead with our team.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect - Data & AI About Genpact: Genpact (NYSE: G) is a global professional services firm delivering outcomes that transform businesses. With a proud 25-year history and over 125,000 diverse professionals in 30+ countries, we are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for our clients. We serve leading global enterprises, including the Fortune Global 500, leveraging our deep industry expertise, digital innovation, and cutting-edge capabilities in data, technology, and AI. Join our team to shape the future of business through intelligent operations and drive meaningful impact. The Opportunity: Genpact is seeking a highly accomplished and visionary Assistant Vice President (AVP), Google Cloud Platform Pre-Sales Solution Architect, specializing in Data and Artificial Intelligence. This pivotal role will be instrumental in driving Genpact%27s growth in the GCP ecosystem by leading complex pre-sales engagements, designing transformative data and AI solutions, and fostering executive-level client relationships. You will operate at the intersection of business strategy and cutting-edge technology, translating intricate client challenges into compelling, implementable solutions on Google Cloud. Responsibilities: . Executive Solutioning & Strategy: Lead the end-to-end technical pre-sales cycle for Genpact%27s most strategic data and AI opportunities on GCP. Engage at the CXO level and with senior business and IT stakeholders to deeply understand their strategic objectives, pain points, and competitive landscape. . Architectural Leadership: Design and articulate highly scalable, secure, and resilient enterprise-grade data and AI architectures on Google Cloud Platform. This includes expertise in BigQuery, Dataflow, Dataproc, Vertex AI (MLOps, Generative AI), Cloud AI services, Looker, Pub/Sub, Cloud Storage, Data Catalog, and other relevant GCP services. . Value Proposition & Storytelling: Develop and deliver highly impactful presentations, workshops, and proof-of-concepts (POCs) that clearly demonstrate the business value and ROI of Genpact%27s data and AI solutions on GCP. Craft compelling narratives that resonate with both technical and non-technical audiences. . Deal Ownership & Closure: Work collaboratively with sales teams to own the technical solutioning and commercial structuring of deals from qualification to closure. Lead the estimation, negotiation, and transition of deals to the delivery organization, ensuring alignment and seamless execution. . Technical Deep Dive & Expertise: Provide deep technical expertise on Google Cloud%27s Data & AI portfolio, staying at the forefront of new service offerings, product roadmaps, and competitive differentiators. Act as the subject matter expert in client discussions and internal enablement. . Cross-Functional Collaboration: Partner effectively with Genpact%27s sales, delivery, product development, and industry vertical teams to ensure that proposed solutions are innovative, deliverable, and aligned with market demands and Genpact%27s capabilities. . Thought Leadership: Contribute to Genpact%27s market presence and intellectual property through whitepapers, conference presentations, industry events, and client advisory sessions. Position Genpact as a leader in data-driven transformation on GCP. . Team Mentorship & Enablement: Provide mentorship and technical guidance to junior pre-sales architects and delivery teams, fostering a culture of continuous learning and excellence in GCP Data & AI. Qualifications we seek in you! Minimum Qualifications . progressive experience in data, analytics, artificial intelligence, and cloud technologies, with a strong focus on technical pre-sales, solution architecture, or consulting leadership roles. . hands-on experience architecting, designing, and delivering complex data and AI solutions on Google Cloud Platform. . Deep and demonstrable expertise across the Google Cloud Data & AI stack: o Core Data Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Cloud SQL, Cloud Spanner, Composer, Data Catalog, Dataplex. o AI/ML Services: Vertex AI (including MLOps, Workbench, Training, Prediction, Explainable AI), Generative AI offerings (e.g., Gemini, Imagen), Natural Language API, Vision AI, Speech-to-Text, Dialogflow, Recommendation AI. o BI & Visualization: Looker, Data Studio. . Proven track record of successfully leading and closing multi-million dollar deals involving complex data and AI solutions on cloud platforms. . Exceptional executive presence with the ability to engage, influence, and build trusted relationships with C-level executives and senior stakeholders. . Strong commercial acumen and experience in structuring complex deals, including pricing models, risk assessment, and contract negotiation. . Outstanding communication, presentation, and storytelling skills, with the ability to articulate complex technical concepts into clear, concise business benefits. . Demonstrated ability to lead cross-functional teams and drive consensus in dynamic and ambiguous environments. . Bachelor%27s degree in Computer Science, Engineering, or a related technical field. Master%27s degree or MBA preferred. . Google Cloud Professional Certifications are highly preferred (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer). . Ability to travel as required to client sites and internal meetings. Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role & responsibilities 1.Develop and execute a strategic roadmap for executing Applied AI engineering projects with a product engineering mindset . 2. Lead and inspire a high-performance core group of developers, architects & engineering managers. 3. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Our enthusiastic Data Scientists are just getting started -- and as a manager, you guide the way and set up examples by coming up with the best solutions to complex engineering problems. 4. Collaborate with architects, product management, and other engineering teams to create solutions that increase the platform's value. 5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and impeccable engineering quality, setting up and managing periodic progress meeting,s and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. 6. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Education and Qualification 1.Proven experience of 10+ years in a leadership role overseeing Applied AI engineering teams, preferably within a professional services environment. 2. Successful track-record of Solution Architecting and High-end AI based software development. 3. Strong technical background with expertise in Generative AI, Google AI APIs, Machine Learning, software development methodologies, languages, and frameworks. 4. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. 5. Demonstrated success in delivering complex software projects on time and within budget. 6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. 7. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. 8. Experience in client-facing roles with a focus on building and maintaining relationships. 9. Our technology stack is insane and the role requires experience and understanding of technologies like: a. Python, Pyspark , TensorFlow b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable c. Google App Engine, GKE, Vertex A I , Doc AI, Conversational AI

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Utilizing advanced analytics techniques to help clients optimize their operations and achieve strategic goals is key. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling play a crucial role in supporting clients in solving complex business problems. Candidates with 4+ years of hands-on experience are sought for the position of Senior Associate in supply chain analytics. Successful candidates should possess proven expertise in supply chain analytics across domains such as demand forecasting, inventory optimization, logistics, segmentation, and network design. Additionally, hands-on experience working on optimization methods like linear programming, mixed integer programming, and scheduling optimization is required. Proficiency in forecasting techniques and machine learning techniques, along with a strong command of statistical modeling, testing, and inference, is essential. Familiarity with GCP tools like BigQuery, Vertex AI, Dataflow, and Looker is also necessary. Required skills include building data pipelines and models for forecasting, optimization, and scenario planning, strong SQL and Python programming skills, experience deploying models in a GCP environment, and knowledge of orchestration tools like Cloud Composer (Airflow). Nice-to-have skills consist of familiarity with MLOps, containerization (Docker, Kubernetes), and orchestration tools, as well as strong communication and stakeholder engagement skills at the executive level. The roles and responsibilities of the Senior Associate involve assisting analytics projects within the supply chain domain, driving design, development, and delivery of data science solutions. They are expected to interact with and advise consultants/clients as subject matter experts, conduct analysis using advanced analytics tools, and implement quality control measures for deliverable integrity. Validating analysis outcomes, making presentations, and contributing to knowledge and firm building activities are also part of the role. The ideal candidate should hold a degree in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA from a reputed institute.,

3+ years of experience in Python software development • 3+ years experience in Cloud technologies & services, preferably GCP • 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. • 3+ years experience with Python, SQL, BQ. • Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Vertex AI, Airflow, TensorFlow, etc., • Experience in Train, Build and Deploy ML, DL Models • Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. • Ability to adapt quickly with opensource products & tools to integrate with ML Platforms • Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) • Developing and deploying On-Prem & Cloud environments • Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Preferred candidate profile ML, Python, SQL, BQ, Tekton, terraform, GCS, GCP Looker, Vertex AI, Airflow, TensorFlow Chennai Location Onlly 4 Years

Proficient in GCP AI offerings and Google Dialog flow CX/Virtual agents building. Experience on Voice AI / Digital Channels/Agentic AI applications using Playbooks, tooling, connectors, and data sources. Strong proficiency in Python/ Node JS for developing cloud function, building connection between the client face interface and GCP Hands on the identification, design, and implementation of use cases for GCP DFCX Agents in contact centers to improve customer experience and operational efficiency. Proficient in constructing intents, entities, and annotations in Dialog flow CX tool. Familiar with Vertex AI, Datastore, Authentication, CI/CD Implementation, GIT.

You should have a strong understanding of the tech stack including GCP Services such as BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, and Cloud Storage. Experience with Data Processing tools like Apache Beam (batch/stream), Apache Kafka, and Cloud Dataprep is crucial. Proficiency in programming languages like Python, Java/Scala, and SQL is required. Your expertise should extend to Orchestration tools like Apache Airflow (Cloud Composer) and Terraform, and Security aspects including IAM, Cloud Identity, and Cloud Security Command Center. Knowledge of Containerization using Docker and Kubernetes (GKE) is essential. Familiarity with Machine Learning platforms such as Google AI Platform, TensorFlow, and AutoML is expected. Candidates with certifications like Google Cloud Data Engineer and Cloud Architect are preferred. You should have a proven track record of designing scalable AI/ML systems in production, focusing on high-performance and cost-effective solutions. Strong experience with cloud platforms (Google Cloud, AWS, Azure) and cloud-native AI/ML services like Vertex AI and SageMaker is important. Your role will involve implementing MLOps practices, including model deployment, monitoring, retraining, and version control. Leadership skills are key to guide teams, mentor engineers, and collaborate effectively with cross-functional teams to achieve business objectives. A deep understanding of frameworks like TensorFlow, PyTorch, and Scikit-learn for designing, training, and deploying models is necessary. Experience with data engineering principles, scalable pipelines, and distributed systems (e.g., Apache Kafka, Spark, Kubernetes) is also required. Nice to have requirements include strong leadership and mentorship capabilities to guide teams towards best practices and high-quality deliverables. Excellent problem-solving skills focusing on designing efficient, high-performance systems are valued. Effective project management abilities are necessary to handle multiple initiatives and ensure timely delivery. Collaboration and teamwork are emphasized to foster a positive and productive work environment.,

Role & rJob Title: Senior Machine Learning Engineer Anomaly Detection & Time Series Forecasting Location: Bangalore Department: Engineering – AI/ML Job Overview: Resolve Tech Solutions is seeking an experienced Senior Machine Learning Engineer to drive the development of AI-driven anomaly detection, time series forecasting, and predictive analytics models for our next-generation observability platform. This role will focus on designing, building, and deploying ML models that provide real-time insights, predictive alerts, and intelligent recommendations powered by LLMs. As a key individual contributor, you will work on solving complex challenges in large-scale cloud environments while collaborating with cross-functional teams. Key Responsibilities: Develop Advanced ML Models: Design and implement machine learning models for anomaly detection, time series forecasting, and predictive analytics, ensuring high accuracy and scalability. Anomaly Detection & Root Cause Analysis: Build robust models to detect abnormal patterns in metric data, leveraging statistical methods, deep learning, and AI-driven techniques. Time Series Forecasting: Implement predictive models to forecast metric trends, proactively identifying threshold breaches and alerting users. LLM-Driven Insights: Utilize Large Language Models (LLMs) to analyze historical incidents, correlate anomalies, and provide recommendations by integrating with ITSM platforms like ServiceNow. Cloud & Big Data Integration: Work with large-scale data pipelines, integrating ML models with cloud platforms such as AWS, Azure, and GCP. Feature Engineering & Data Processing: Design and optimize feature extraction and data preprocessing pipelines for real-time and batch processing. Model Deployment & Optimization: Deploy ML models in production environments using MLOps best practices, ensuring efficiency, scalability, and reliability. Performance Monitoring & Continuous Improvement: Establish key performance metrics, monitor model drift, and implement retraining mechanisms for continuous model improvement. Collaboration & Knowledge Sharing: Work closely with product managers, data engineers, and DevOps teams to align ML solutions with business objectives and platform goals. Requirements: Experience: 5+ years of hands-on experience in machine learning, with a strong focus on anomaly detection, time series forecasting, and deep learning. ML & AI Expertise: Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, and XGBoost. Anomaly Detection: Experience with statistical techniques, autoencoders, GANs, or isolation forests for anomaly detection in time series data. Time Series Forecasting: Strong background in models such as ARIMA, Prophet, LSTMs, or Transformers for predictive analytics. LLMs & NLP: Hands-on experience in fine-tuning and integrating LLMs for intelligent insights and automated issue resolution. Cloud & Data Engineering: Familiarity with cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI) and distributed computing frameworks like Spark. MLOps & Deployment: Experience with CI/CD pipelines, Docker, Kubernetes, and model monitoring in production. Problem-Solving & Analytical Skills: Ability to analyze large datasets, derive insights, and build scalable ML solutions for enterprise applications. Communication & Collaboration: Strong verbal and written communication skills, with the ability to explain ML concepts to non-technical stakeholders. Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Preferred Qualifications: Experience with AIOps, observability, or IT operations analytics. Hands-on experience with reinforcement learning or graph neural networks. Familiarity with Apache Kafka, Flink, or other real-time data processing frameworks. Contributions to open-source ML projects or research publications in anomaly detection and time series analysis. Why Join Us? Opportunity to work on cutting-edge AI/ML solutions for enterprise observability. Collaborative and innovative work environment with top AI/ML talent. Competitive salary, benefits, and career growth opportunities. Exposure to large-scale, cloud-native, and AI-driven technologies. If you are passionate about AI-driven anomaly detection, time series forecasting, and leveraging LLMs for real-world enterprise solutions, we'd love to hear from you!esponsibilities Preferred candidate profile