Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing We are looking for a visionary Head of Engineering (AI & ML) with extensive experience in leading AI/ML initiatives, team leadership, and end-to-end product delivery. This role combines strategic leadership with deep technical expertise to drive the development of advanced AI solutions, such as Agent Assist, IVA, Chatbots, Conversational Intelligence, and Data Visualization. You will work at the intersection of cutting-edge technology and business strategy, managing high-performing teams to deliver scalable, high-value AI products. Key Responsibilities Strategic Leadership Vision and Strategy: Partner with leadership to define AI product visions, success metrics, and strategic initiatives. Roadmap Development: Shape the medium and long-term AI product roadmap, aligning technical capabilities with business objectives. Emerging Trends: Serve as a thought leader, identifying and championing the adoption of emerging AI/ML trends and technologies. AI Product & Technical Delivery AI/ML Model Development: Oversee the training, fine-tuning, and deployment of advanced AI models, including NLP, ASR, TTS, and generative AI systems. Product Innovation: Drive the design and implementation of core AI/ML features to support intelligent automation and conversational experiences. Resource Management: Strategically plan and allocate team resources to meet roadmap goals and manage dependencies effectively. Scalability: Architect scalable AI systems with high availability, low latency, and adherence to SLAs. Engineering Leadership Technical Guidance: Provide hands-on technical leadership, diving into architecture, code, and design while managing the broader product delivery. Team Performance: Build and sustain an engineering rhythm that fosters high performance, knowledge sharing, and smooth execution. MLOps & Infrastructure: Establish scalable infrastructure and automated pipelines for model training, deployment, and performance monitoring. Team Development and Culture Mentorship: Act as a coach and mentor to foster technical growth and career development for team members. Inclusive Culture: Build a fun, inclusive, and supportive work environment that aligns with company values and encourages collaboration. Exemplify Leadership Principles: Inspire the team by modeling resilience, learning from failures, and celebrating the success of others. Cross-Functional Collaboration Partnerships: Collaborate with product management, design, and business stakeholders to ensure AI solutions meet market and regulatory requirements. Communication: Translate complex technical strategies into clear, actionable insights for both technical and non-technical stakeholders. Required Qualifications Education: Master’s degree in Applied Mathematics, Computer Science, or a related field. Experience: 10+ years in software engineering with expertise in AI/ML. Proven track record in leading teams to deliver AI products such as IVA, chatbots, or conversational intelligence. Hands-on experience with VoIP communications and real-time AI-driven solutions. Strong foundation in end-to-end AI product development and regulatory compliance. Demonstrated ability to evaluate and implement algorithmic solutions tailored to business use cases. Technical Skills: Deep knowledge of NLP, machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Experience deploying AI systems at scale using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Expertise in optimization techniques like vLLM, quantization, and LoRA for high-performance inferencing. Proficiency in programming languages such as Python and experience building production-grade pipelines. Preferred Skills MLOps Expertise: Advanced knowledge of CI/CD pipelines, monitoring tools (MLflow, Airflow), and distributed training frameworks. Scalable Training Infrastructure: Hands-on experience with GPU/TPU workloads and frameworks like Horovod or DeepSpeed. Generative AI Expertise: Experience designing Retrieval-Augmented Generation (RAG) systems and fine-tuning large language models for domain-specific applications. Leadership Attributes Strong people management and mentoring skills with a proven ability to build high-performing teams. Ability to measure team impact, set clear goals, and drive collaboration across functions. Exceptional problem-solving and decision-making skills in ambiguous, high-impact scenarios. If you’re passionate about leading the development of transformative AI/ML solutions and want to make an organizational impact through innovative technologies, apply now to join our team! Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. Show more Show less

Who Are We Looking For We are looking for a Software Engineer II as part of our Enterprise Service Management Engineering team at Nike. The ideal candidate will have strong programming skills with exposure to automation frameworks, API-driven development and familiarity with GenAI and Agentic frameworks. What You Will Work On You’ll be working on designing , developing and running enterprise automation solutions, including but not limited to building workflows, self-service capabilities, and incident deflection systems, to enhance operational efficiency across the enterprise. You will work with a global team of engineers to unlock the potential of data. This will involve collaborating with cross-domain teams of engineers and product managers to integrate systems through API-driven development. You'll have - Bachelor's Engineering degree in Computer Science or similar field of education Minimum 3+ years of experience in software engineering, with a strong focus on programming in either one of the languages Python, Java , NodeJs or GoLang is a must API-Driven Development: Experience in designing, developing, and integrating systems using RESTful APIs and other API-driven approaches is a must DevOps : Proficiency with DevOps tools and practices, including CI/CD pipelines, version control systems (e.g., Git), and infrastructure automation Exposure to ServiceNow Platform : Hands on experience in configuring and building including workflow automation, integrations, and proficiency in any one of its core modules Exposure to Automation Platforms: Hands-on experience with robotic automation platforms such as Automation Anywhere, UiPath, or similar tools is preferred Exposure to implementing and integrating AI, Machine Learning, GenAi and related data solutions language models & tools preferred (i.e. LangChain, Langraph, MLFlow, GPT-4o) Problem-Solving Skills: Strong analytical and troubleshooting skills to resolve complex automation challenges through first principle thinking Collaboration and Communication: Ability to work with cross-functional teams and effectively communicate technical solutions with peers, technical leaders and stakeholders Knowledge of Best Practices: Understanding of industry engineering best practices for automation, security, and scalability Who You Will Work With You will be a part of the Global Technology organization working on Nike’s Enterprise Services Management team reporting to the Software Engineering Manager. You will spend much of your time with Engineers, Product managers and senior technical leadership team in Enterprise Service management team and adjacent teams. Show more Show less

Job Summary JOB DESCRIPTION We are seeking a talented and experienced Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and systems to support analytics and data-driven decision-making. This role requires expertise in data processing, data modeling, and big data technologies. Responsibilities Key Responsibilities: Design and develop datapipelines to collect, transform, and load data into datalakes and datawarehouses . Optimize ETLworkflows to ensure data accuracy, reliability, and scalability. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Implement and manage cloud − baseddataplatforms (e.g., AWS , Azure , or GoogleCloudPlatform ). Develop datamodels to support analytics and reporting. Monitor and troubleshoot data systems to ensure high performance and minimal downtime. Ensure data quality and security through governance best practices. Document workflows, processes, and architecture to facilitate collaboration and scalability. Stay updated with emerging data engineering technologies and trends. Qualifications Required Skills and Qualifications: Strong proficiency in SQL and Python for data processing and transformation. Hands-on experience with bigdatatechnologies like ApacheSpark , Hadoop , or Kafka . Knowledge of datawarehousingconcepts and tools such as Snowflake , BigQuery , or Redshift . Experience with workfloworchestrationtools like ApacheAirflow or Prefect . Familiarity with cloudplatforms (AWS, Azure, GCP) and their data services. Understanding of datagovernance , security , and compliance best practices. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred Qualifications Certification in cloudplatforms (AWS, Azure, or GCP). Experience with NoSQLdatabases like MongoDB , Cassandra , or DynamoDB . Familiarity with DevOpspractices and tools like Docker , Kubernetes , and Terraform . Exposure to machinelearningpipelines and tools like MLflow or Kubeflow . Knowledge of datavisualizationtools like PowerBI , Tableau , or Looker . Show more Show less

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. How will you make an impact in this role? As part of our Enterprise AI/ML platform engineering team, you can architect, code and ship solutions that makes us an essential part of our customers’ digital lives through AI powered usecases. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems in domain of Machine Learning platform. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. Responsibilities Perform technical aspects of software development for assigned applications including design, developing prototypes, and coding assignments. Perform hands-on architecture, design, and development of systems. Drive consistent development practices with respect to tools, common components, and documentation. Spend 80% of time writing code and testing, and remainder of time collaborating with stakeholders through ongoing product/platform releases. Develop deep understanding of tie-ins with other Amex systems and platforms within the supported domains. Perform ongoing refactoring of code, utilize visualization and other techniques to fast-track concepts, and deliver continuous improvement. Identify opportunities to adopt innovative technologies. Provide continuous support for ongoing application availability. Work with product owners to prioritize features for ongoing sprints and managing a list of technical requirements based on industry trends, new technologies, known defects, and issues. Enable business capabilities through innovation. Research and learn new and upcoming technologies, and apply them to develop working software. Debug software components and identify code defects for remediation. Deploy, support, and monitor software across test, integration, and production environments. Automatically scale applications based on demand projections. Influence team members with innovative changes and improvements by challenging status quo and demonstrating risk taking. Demonstrate increased self-reliance to achieve team goals. Minimum Qualifications 2+ years of software development experience with proven hands-on experience building data driven products. Good in Computer Science fundamentals in object-oriented design, data structures, algorithm design, complexity analysis, problem solving and diagnosis Strong analytical and problem-solving skills Adept at any one of the programming language Java/Python and Open to learn new programming languages. Well conversant with Linux / Unix tools Critical Factors to Success (Outcome Driven) Technical/Platforms Experience in large scale platform engineering Experience in application development and integration within one or more Cloud platforms such as Google Cloud Platform, Amazon Web Services, etc. Understanding of Machine Learning Ecosystem with hands on experience working on Airflow, Jupyterlab, Jupyterhub, MLFlow like frameworks. Experience with object-oriented design and coding with Python & related framework. Proficiency on Linux. Understanding and experience with UNIX / Shell scripting Proficiency on distributed systems concepts like load balancing, shards, distributed transactions. Understanding of data structures, algorithms & Design Patterns Good To Have Experience building fast and scalable machine learning and analytical algorithms and executing all tasks from design to deployment and monitoring Experience in developing Web services, micro-services, and REST Experience working with distributed systems using Spark, Hive in Hadoop at significant scale in a production environment. Functional Familiarity with design & coding across multiple platforms & languages Strong analytical & strategic thinking skills Ability to interpret technical /business objectives and challenges Porting/Software Configuration Agile Methodologies Software development/ testing Product Engineering Knowledge Platform engineering knowledge (e.g. Financial Tech/Ecommerce/ Aggregator platforms) Business Outcomes Design and deliver innovative AIML / Big Data platform solutions across multiple business units Identify and adopt new technologies to enhance user experience and predict future challenges Leadership Outcomes Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a digital mindset and deliver the world's best customer experiences every day Benefits We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Roles and Responsibilities Design, Develop, and Deploy : Develop, deploy, and maintain machine learning models that are not only theoretically sound but also practical and scalable. Our team places a strong emphasis on rapid, trustworthy experimentation for validating models and features. Model Maintenance : Design and build machine learning pipelines optimized for scalability, ensuring seamless model training, evaluation, and deployment. Monitor the performance of machine learning models in real-time using statistical methods, ensuring their efficiency and effectiveness.Implement and manage real-time data systems to handle large data streams efficiently. Technical Expertise : Conduct RD in innovative techniques such as Recommender Systems, Computer Vision, NLP, Generative AI and Causal Inference, pushing the boundaries of practical machine learning applications. Software Development : Develop robust, scalable, and maintainable software solutions for seamless model deployment. CI/CD Pipelines : Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing, deployment, and model integration. Collaboration : Work closely with the Product Managers, Platforms and Engineering teams to ensure smooth deployment and integration of ML models into Myntra production systems. Data Management : Utilize big data technologies and data lakes to preprocess and shape raw data for machine learning applications. Code Quality : Write clean, efficient, and maintainable code following best practices. Performance Optimization : Conduct performance testing, troubleshooting, and tuning to ensure optimal model performance. Continuous Learning : Stay up-to-date with the latest advancements in machine learning and technology, sharing insights and knowledge across the organization. Experience Industry Experience: Master's degree in a related technical field with 4+ years of relevant industry experience or Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related technical field with 6+ years of relevant industry experience OR OR Ph.D. in a related field with a thesis in a domain relevant to Myntra's needs (e.g., Recommender Systems, Natural Language Processing). Machine Learning Expertise: At least 4 years of hands-on experience as a Machine Learning Engineer or a similar role. Solid understanding of statistics, particularly as it applies to machine learning, including probability theory, hypothesis testing, and statistical inference. Production Deployment: Proven track record of implementing and scaling machine learning models and pipelines in a production environment. Programming Skills: Strong proficiency in Python or equivalent programming languages for model development. ML Frameworks: Familiarity with leading machine learning frameworks (Keras, TensorFlow, PyTorch) and libraries (scikit-learn). CI/CD Tools: Experience with CI/CD tools and practices. Communication: Excellent verbal and written communication skills. Teamwork Independence: Ability to work collaboratively in a team environment or independently as needed. Mentor team members technically on designing and deploying ML pipelines and services. Workload Management: Strong organizational skills to manage and prioritize tasks, supporting your manager effectively. Preferred Qualifications Strong emphasis on rapid, trustworthy experimentation for validating machine learning models and hypotheses. Hands-on experience with Search and Recommender Systems, Computer Vision, or Forecasting is strongly desired. We value candidates who emphasize practical implementation and scaling of machine learning solutions. Experience with real-time systems and databases like Kafka, Cassandra, Vector Databases, or Bigtable is highly valued. Prior experience with Generative AI techniques earns brownie points. Advanced understanding and experience in Causal Inference earns a lot of brownie points. Strong communication skills, especially in conveying complex technical and statistical concepts to a non-technical audience. Experience with big data technologies like Spark or other distributed computing frameworks. Exceptional candidates are encouraged to apply, even if you don't meet every listed qualification. We're open to hiring individuals who demonstrate outstanding potential. Nice to Have Research Contributions: Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Cloud Services: Proficiency in cloud platforms (AWS, Google Cloud) and an understanding of distributed systems. Generative AI Exposure: Familiarity with Generative AI models. Database Management: Experience with SQL and/or NoSQL databases. ML Orchestration: Knowledge of ML orchestration tools (Airflow, Kubeflow, MLFlow).

Halo believes in innovation by inclusion to solve digital problems . As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging . Learn more about our philosophy, benefits, and team at https://halopowered.com/As an AI Architect, you will lead the design of scalable, secure, and modern technology solutions, leveraging artificial intelligence, cloud platforms, and microservices—while ensuring alignment with AI governance principles, agile delivery, and platform modernization strategies As a Data Scientist, you'll be part of a multidisciplinary team applying advanced analytics, machine learning, and generative AI to solve real-world problems across our consulting, health, wealth, and career businesses. You will collaborate closely with engineering, product, and business stakeholders to develop scalable models, design intelligent pipelines, and influence data-driven decision-making across the enterprise. Requirements Design, develop, and deploy robust machine learning models and data pipelines that support AI-enabled applications Apply exploratory data analysis (EDA) and feature engineering techniques to extract insights and improve model performance Collaborate with cross-functional teams to translate business problems into analytical use cases Contribute to the full machine learning lifecycle: from data preparation and model experimentation to deployment and monitoring Work with structured and unstructured data, including text, to develop NLP and generative AI solutions Define and enforce best practices in model validation, reproducibility, documentation, and versioning Partner with engineering to integrate models into production systems using CI/CD pipelines and cloud-native services Stay current with industry trends, emerging techniques (e.g., RAG, LLMs, embeddings), and relevant tools Required Skills & Qualifications 3+ years of experience in Data Science, Machine Learning, or Applied AI roles Proficiency in Python (preferred) and a strong grasp of pandas, NumPy, and scikit-learn Skilled in data querying, manipulation, and pipeline development using SQL and modern ETL frameworks Experience working with Databricks, including notebooks, MLflow, Delta Lake, and job orchestration Experience with Git-based workflows and Agile methodologies Strong analytical thinking, problem-solving skills, and communication abilities Exposure to Generative AI, LLMs, prompt engineering, or vector-based search Hands-on experience with cloud platforms (AWS, Azure, or GCP) and deploying models in scalable environments Knowledge of data versioning, model registry, and ML lifecycle tools (e.g., MLflow, DVC, SageMaker, DataBricks, or Vertex AI) Experience working with visualization tools like Tableau, Power BI, or Qlik Degree in Computer Science, Data Science, Applied Mathematics, or a related field Benefits 100% RemoteWork Salary in USD Get to work on challenging projects for the U.S Show more Show less

About Vois VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Description Key responsibilities include: GCP certifications (e.g., Professional Cloud DevOps Engineer, Cloud Architect). Experience deploying and managing AI/ML and GenAI models in production. Familiarity with data governance, model lifecycle management, and responsible AI practices. Cloud Expertise: Deep experience with Google Cloud Platform (GCP) services (Compute Engine, GKE, Cloud Functions, Vertex AI, BigQuery, etc.). DevOps Tools: Jenkins, GitLab CI/CD, ArgoCD, or similar. IaC: Terraform, Google Deployment Manager, Ansible. Containers & Orchestration: Docker, Kubernetes (GKE preferred), Helm. Monitoring & Logging: Google Cloud Operations Suite (formerly Stackdriver), Prometheus. Scripting & Automation: Python, Bash, NodeJs. AI/ML & GenAI: Experience with Vertex AI, Kubeflow, MLflow, LangChain, Hugging Face, or OpenAI APIs. Security & Compliance: IAM, VPC, service accounts, secrets management. Experience 12+ years of experience in DevOps/cloud roles, with 3+ years in a leadership capacity. Must Have Technical / Professional Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. DevOps Tools: Jenkins, GitLab CI/CD, ArgoCD, or similar. VOIS Equal Opportunity Employer Commitment India VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

Job description Job Title: MLOps Engineer Company: Aaizel International Technologies Pvt. Ltd. Location: Gurugram Experience Required: 6+ Years Employment Type: Full-Time About Aaizeltech Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, and intelligent embedded systems. We are seeking a Senior MLOps Engineer to lead the architecture, deployment, automation, and scaling of infrastructure and ML systems across multiple product lines. Role Overview This role requires strong expertise and hands-on MLOps experience. You will architect and manage cloud infrastructure, CI/CD systems, Kubernetes clusters, and full ML pipelines—from data ingestion to deployment and drift monitoring. Key Responsibilities MLOps Responsibilities: Collaborate with data scientists to operationalize ML workflows. Build complete ML pipelines with Airflow, Kubeflow Pipelines, or Metaflow. Deploy models using KServe, Seldon Core, BentoML, TorchServe, or TF Serving. Package models into Docker containers using Flask or FastAPI or Django for APIs. Automated dataset versioning & model tracking via DVC and MLflow. Setup model registries and ensure reproducibility and audit trails. Implement model monitoring for: (i) Data drift and schema validation (using tools like Evidently AI, Alibi Detect). (ii) Performance metrics (accuracy, precision, recall). (iii) Infrastructure metrics (latency, throughput, memory usage). Implement event-driven retraining workflows triggered by drift alerts or data freshness. Schedule GPU workloads on Kubernetes and manage resource utilization for ML jobs. Design and manage secure, scalable infrastructure using AWS, GCP, or Azure. Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or AWS DevOps. Write and manage Infrastructure as Code using Terraform, Pulumi, or CloudFormation. Automated configuration management with Ansible, Chef, or SaltStack. Manage Docker containers and advanced Kubernetes resources (Helm, StatefulSets, CRDs, DaemonSets). Implement robust monitoring and alerting stacks: Prometheus, Grafana, CloudWatch, Datadog, ELK, or Loki. Must-Have Skills Advanced expertise in Linux administration, networking, and shell scripting. Strong knowledge of Docker, Kubernetes, and container security. Hands-on experience with IaC tools like Terraform and configuration management like Ansible. Proficient in cloud-native services: IAM, EC2, EKS/GKE/AKS, S3, VPCs, Load Balancing, Secrets Manager. Mastery of CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions). Familiarity with SaaS architecture, distributed systems, and multi-env deployments. Proficiency in Python for scripting and ML-related deployments. Experience integrating monitoring, alerting, and incident management workflows. Strong understanding of DevSecOps, security scans (e.g., Trivy, SonarQube, Snyk) and secrets management tools (Vault, SOPS). Experience with GPU orchestration and hybrid on-prem + cloud environments. Nice-to-Have Skills Knowledge of GitOps workflows (e.g., ArgoCD, FluxCD). Experience with Vertex AI, SageMaker Pipelines, or Triton Inference Server. Familiarity with Knative, Cloud Run, or serverless ML deployments. Exposure to cost estimation, rightsizing, and usage-based autoscaling. Understanding of ISO 27001, SOC2, or GDPR-compliant ML deployments. Knowledge of RBAC for Kubernetes and ML pipelines. Who You'll Work With AI/ML Engineers, Backend Developers, Frontend Developers, QA Team Product Owners, Project Managers, and external Government or Enterprise Clients How to Apply If you are passionate about embedded systems and excited to work on next-generation technologies, we would love to hear from you. Please send your resume and a cover letter outlining your relevant experience to hr@aaizeltech.com or bhavik@aaizeltech.com or anju@aaizeltech.com (Contact No- 7302201247) Show more Show less

Requirements Automation is a part of your daily functions, so thorough familiarity with Unix Bourne shell scripting and Python is a critical survival skill. Integration and maintenance of automated tools. Strong analytical and problem-solving skills. Working experience in source control tools. Hands-on experience with CI tools, preferably Gitlab. Have experience with modern virtualization technologies (Docker, KVM, AWS, OpenStack, or any orchestration platforms). Automation of deployment, customization, upgrades, and monitoring through modern DevOps tools (Ansible, Kubernetes, OpenShift, etc). Advanced Linux admin experience. Deep understanding of Container orchestration(Preferably kubernetes ). Strong knowledge of Object Storage(Preferably Ceph on Rook. Hands-on experience with configuring Rancher with RKE using Terraform. Experience in installing, managing, and tuning microservices environments using Kubernetes and Docker, both on-premises and on the cloud. Experience in deploying and managing Spring Boot applications. Experience in deploying and managing Python applications using Django, FastAPI, and Flask. Experience in deploying machine learning pipelines/data pipelines using Airflow/Kubeflow/Mlflow. Experience in web server and reverse Proxy like Nginx, Apache Server, HAproxy. Experience in monitoring tools like Prometheus, Grafana. Experience in provisioning and maintaining SQl/NoSQL databases. Hands-on experience required in configuring and managing firewalls on-prem, preferably Pfsense and Palo Alto. Hands-on / fluency in Ansible. Desired Skills Configuration software: Ansible. Excellent communication and collaboration skills. Good experience in Networking Technologies like Load balancer, ACL, Firewall, VIP, and DNS. Programmatic experience with AWS, DO, or GCP storage and machine images. Experience with various Linux distributions. Knowledge of Azure DevOps Server. Docker management and troubleshooting. Familiarity with microservices and RESTful systems. AWS / GCP / Azure certification. Interact with the Engineering for support/maintain/design the backend infrastructure for product support. Create a fully automated global cloud infrastructure that spans multiple regions. Great learning attitude towards the newest technology and a Team player. This job was posted by S Kritika from Curl Analytics. Show more Show less

We are seeking dynamic and passionate Machine Learning Engineers to join our Bangalore office. Candidates will have substantial experience in PySpark, data pipeline creation, feature store management, robust ML model training, and deployment. This role involves enhancing machine learning productivity by building scalable, maintainable ML platforms and implementing effective MLOps strategies. Responsibilities Develop, optimize, and maintain data pipelines using PySpark to ensure efficient data processing and scalability. Build and enhance feature stores and ML deployment infrastructure. Port existing machine learning models into new applications, maintaining performance and quality. Automate ML deployment processes and build robust CI/CD pipelines. Implement monitoring systems and observability tools to ensure the stability and reliability of ML pipelines. Collaborate closely with cross-functional teams to design, deploy, and enhance scalable machine learning models. Perform comprehensive model evaluations using key metrics (accuracy, precision, recall, F1-score). Participate actively in peer code reviews and uphold best practices in ML development. Requirements Strong proficiency in Python, PySpark, and SQL. Experience with ML frameworks such as TensorFlow, Keras, PyTorch, and Scikit-Learn. Familiarity with data modeling pipelines, optimization techniques, and prevalent ML architectures (Databricks, Airflow, MLFlow). Experience in building and maintaining feature stores (e. g., Feast, Databricks Feature Store). Knowledge of cloud platforms (AWS, Azure, GCP) and experience deploying models in cloud environments. Familiarity with MLOps tools and practices (Docker, Kubernetes, Jenkins, Git, Grafana). Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field. Good To Know Qualifications Experience with search, ranking, relevance, and recommendation systems. Understanding of natural language processing (NLP), computer vision, or generative AI techniques. Experience in visualization tools such as Grafana. Soft Skills Excellent problem-solving capabilities and attention to detail. Effective communication and collaboration skills. Ability to adapt and deliver in a dynamic environment. This job was posted by Shashank Patil from Oneture Technologies. Show more Show less

Roles and Responsibilities Design, Develop, and Deploy: Create and implement advanced machine learning models and algorithms to tackle complex business challenges across various domains, including Recommender Systems, Search, Computer Vision, Supply Chain Management (SCM), Pricing, Forecasting, Trend and Virality Prediction, Generative AI, and more. Technical Expertise: Demonstrate deep theoretical knowledge and practical expertise in one or more areas, such as Natural Language Processing (NLP), Computer Vision, Recommender Systems, Gen AI and Optimization. Software Development: Develop robust, scalable, and maintainable software solutions for seamless model deployment. CI/CD Pipelines: Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing, deployment, and model integration. Model Maintenance: Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training. Collaboration: Work closely with the Platforms and Engineering teams to ensure smooth deployment and integration of ML models into production systems. Data Management: Partner with the Data Platforms team to gather, process, and analyze data crucial for model development. Code Quality: Write clean, efficient, and maintainable code following best practices. Performance Optimization: Conduct performance testing, troubleshooting, and tuning to ensure optimal model performance. Continuous Learning: Stay up-to-date with the latest advancements in machine learning and technology, sharing insights and knowledge across the organization. Qualifications & Experience Industry Experience: 3-5+ years with a Bachelor's degree, or 2+ years with a Masters/Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Machine Learning Expertise: At least 2 years of hands-on experience as a Machine Learning Engineer or a similar role. Production Deployment: Proven experience deploying machine learning solutions into production environments. Programming Skills: Strong proficiency in Python or equivalent programming languages for model development. ML Frameworks: Familiarity with leading machine learning frameworks (Keras, TensorFlow, PyTorch) and libraries (scikit-learn). CI/CD Tools: Experience with CI/CD tools and practices. Communication: Excellent verbal and written communication skills. Teamwork & Independence: Ability to work collaboratively in a team environment or independently as needed. Workload Management: Strong organizational skills to manage and prioritize tasks, supporting your manager effectively. Exceptional candidates are encouraged to apply, even if you don't meet every listed qualification. We're open to hiring individuals who demonstrate outstanding potential. Nice to Have Research Contributions: Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Big Data Technologies: Experience with big data technologies like Spark or other distributed computing frameworks. Cloud Services: Proficiency in cloud platforms (AWS, Google Cloud) and an understanding of distributed systems. Generative AI Exposure: Familiarity with Generative AI models. Database Management: Experience with SQL and/or NoSQL databases. ML Orchestration: Knowledge of ML orchestration tools (Airflow, Kubeflow, MLFlow).

Job Title: Experienced AI Developer Location: Chandigarh Job Type: Full-Time Experience Level: Mid to Senior-Level Job Summary: As an AI Developer, you will be responsible for designing, developing, and deploying machine learning and deep learning models. You will work closely with our data science, product, and engineering teams to integrate AI capabilities into our software applications. Key Responsibilities: Design and implement AI/ML models tailored to business requirements. Train, fine-tune, and evaluate models using datasets from various domains. Integrate AI solutions into web or mobile applications. Collaborate with cross-functional teams to define AI strategies. Optimize models for performance, scalability, and reliability. Stay updated with the latest advancements in AI/ML technologies and frameworks. Deploy models to production environments using tools like Docker, Kubernetes, or cloud services (AWS/GCP/Azure). Write clean, maintainable, and well-documented code. Required Skills and Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and popular ML libraries (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with NLP, computer vision, or recommendation systems. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with REST APIs and microservices architecture. Solid understanding of AI ethics, bias mitigation, and responsible AI development. Preferred Qualifications: Experience with large language models (e.g., GPT, LLaMA, Claude). Knowledge of AI deployment tools like MLflow, SageMaker, or Vertex AI. Experience with prompt engineering or fine-tuning foundation models. Job Type: Full-time Pay: ₹35,000.00 - ₹70,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

India - Hyderabad JOB ID: R-209745 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 28, 2025 CATEGORY: Information Systems Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Director - AI/ML Engineering What you will do Let’s do this. Let’s change the world. We are seeking a Associate Director of ML / AI Engineering to lead Amgen India’s AI engineering practice. This role is integral to developing top-tier talent, setting ML / AI best practices, and evangelizing ML / AI Engineering capabilities across the organization. The Associate Director will be responsible for driving the successful delivery of strategic business initiatives by overseeing the technical architecture, managing talent, and establishing a culture of excellence in ML / AI The key aspects of this role involve : (1) prior hands-on experience building ML and AI solutions (2) management experience in leading ML / AI engineering team and talent development (3) Delivering AI initiatives at enterprise scale Roles & Responsibilities: Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship. Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development. Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery. Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring. Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value. Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies. Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies. Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems. Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives. Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR Bachelor’s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience Preferred Qualifications: Experience in building AI Platforms & applications at enterprise scale Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI ) Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms. Proficient in programming languages such as Python, R, or Scala. Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud). Proven track record of managing and delivering AI/ML projects at scale. Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities. Experience in regulated industries, preferably life sciences and pharma Good-to-Have Skills: Experience with natural language processing, computer vision, or reinforcement learning. Knowledge of data governance, privacy regulations, and ethical AI considerations. Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms) Experience with AI Observability Professional Certifications (Preferred): Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate Soft Skills: Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Ability to mentor and develop team members, promoting their growth and success. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About us: At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges. About the Client: Join one of the Fortune 500 leaders in the pharmaceutical industry that is looking innovate and expand our technological capabilities. The person would join a product team working on their self-service company-wide platform that enables all the teams and business units to deploy their AI solutions, making them accessible across the entire company. Position Summary: We are seeking a skilled Software Engineer to lead the development of MLOps automation solutions within the Databricks platform. This role is pivotal in enhancing our machine learning operations by integrating robust automation processes. The role is a CONTRACTING (6 months and renewable) role with US company. Accepting canddiates from Europe, Middle East and India, who can overlap IST working hours. Accepting candidates that can be available to start by July 1st. No agency candidates accepted. Key Responsibilities: Develop and implement automation for model promotion workflows using Databricks Model Registry and MLflow. Design and deploy scalable model serving solutions leveraging Databricks Model Serving and AWS services. Establish comprehensive monitoring systems for the Databricks Lakehouse to ensure data quality and model performance. Automate Databricks workflows for efficient execution of notebooks, scripts, and ML pipelines. Utilize AWS Lambda and API Gateway to create event-driven architectures that trigger Databricks jobs and manage model endpoints. Collaborate with cross-functional teams to integrate MLOps solutions seamlessly into existing infrastructure Requirements 6+ years of experience in software enigneering Proficiency in Python, with a strong background in developing automation scripts and tools. Hands-on experience with AWS services, particularly Lambda and API Gateway, for building serverless applications. In-depth knowledge of Databricks, including experience with MLflow, Model Serving, and Lakehouse architecture. Familiarity with MLOps practices and tools for continuous integration and deployment of machine learning models. Experience in setting up monitoring and alerting systems for data pipelines and ML models

India - Hyderabad JOB ID: R-209851 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 11, 2025 CATEGORY: Government Affairs Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Scientist (US Value & Access Insights) What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: Ability to work on upgrades and manage the execution of Proprietary AI engine built to optimize Copay and other GTN initiatives Ensure models are trained with the latest data and meet the SLA expectations Act as a subject matter expert in solving development and commercial questions Work with a global cross functional team on the AI tool’s road map Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Model/analytics experiment and development pipeline leveraging MLOps. Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights. Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of computer science, statistics or STEM majors with a minimum of 1 year of Information Systems experience OR Bachelor’s degree and 3 to 5 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience OR Diploma and 7 to 9 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience Experience with one or more analytic software tools or languages like R and Python Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Preferred Qualifications: Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience with data engineering and pipeline development Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Professional Certifications : Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems. Skilled in breaking down problems, documenting problem statements, and estimating efforts. Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Metyis is growing! We are looking for a Data Science Lead with 6+ years of experience to join our Data and Analytics team in Gurgaon, India. Who we are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. What you’ll bring 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Tools & Technologies: o Strong hands-on experience in Python/R and SQL. o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. o Experience with data visualization tools in python like – Seaborn, Plotly. o Good understanding of Git concepts. o Good experience with data manipulation tools in python like Pandas and Numpy. o Must have worked with scikit learn, NLTK, Spacy, transformers. o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. o Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. o Hands on experience with MLOps and model governance best practices in production environments. o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space with over 16,700 stores in 31 countries, serving more than 9 million customers each day. The India Data & Analytics Global Capability Centre is an integral part of ACT’s Global Data & Analytics Team and the Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About the Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3–4 years of relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) #LI-DS1

Job ID: 28085 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 22 May 2025 Job Summary As an AI Ops Engineer, you will play a critical role in the design, development, and deployment of AI platform. You will work collaboratively with a cross-functional team, focusing on MLOps, LLMOps, cloud and on-prem platform setup, and data catalogue management. Your expertise will be pivotal in ensuring the scalability, reliability, and efficiency of our AI solutions Key Responsibilities MLOps: Implementing and optimizing MLOps practices to streamline the machine learning lifecycle, from development to deployment and monitoring. LLMOps: Managing operations for large language models, including development, deployment and monitoring. CI/CD/CT/CM: Developing and maintaining continuous integration, deployment, testing, and monitoring pipelines. Standardization: Establish and enforce best practices for machine learning model development, testing, and deployment. Infrastructure Setup: Oversee the setup and management of cloud and on-prem platforms to support AI workloads. Domain Design and Catalog Implementation: Designing and maintaining domain models and data catalogs. Model Registry and Cataloging Layer: Developing and maintaining systems for registering and cataloging AI models. RAI Automation: Implementing and automating Responsible AI (RAI) practices for ethical AI development. Governance Dashboards: Building and maintaining dashboards for governance and compliance monitoring. Governance Framework and Workflows: Developing and enforcing governance frameworks and workflows. Lineage Tracking and Auditing: Implementing and maintaining tools for tracking data and model lineage and auditing. Risk and control library: Working with OTCR and PCA teams for AI controls as aligned with RAI principles. Collaboration: Work closely with data scientists, software engineers, and platform engineers to deliver high-quality AI solutions. Innovation: Stay abreast of the latest advancements in AI and machine learning, and apply this knowledge to improve our platform and processes. Mentorship: Provide technical guidance and mentorship to junior engineers and team members. Key stakeholders TTO Management Team T&A Management Team CDO Software Engineering Platform Teams Business, Regional & Country CIOs & COOs Operational, Technology & Cyber Risk Chief Data Office Group and Country Compliance & Regulators Group Internal Audit Group Operational Risk Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Serve as a Director of the Board Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Other Responsibilities Embed Here for good and Group’s brand and values in team Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures Multiple functions (double hats) Skills and Experience Hands on with AI platform development and monitoring Hands on with ML framework, best practices and ops implementation Hands-on experience with GPU computing and optimization for AI workloads Hands-on experience with design and implementation of sophisticated data catalogue Programming languages such as Python, Java, or C++. Qualifications Experience: 6-10 years of experience in AI and machine learning engineering, with a proven track record of delivering complex AI projects. Technical Expertise: Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps tools (e.g., MLflow, Kubeflow), and cloud platforms and infrastructure as code (e.g., AWS, Azure). GPU Expertise: Hands-on experience with GPU computing and optimization for AI workloads. Programming Skills: Proficiency in programming languages such as Python, Java, or C++. Data Engineering: Strong skills in data engineering, including data integration, ETL processes, and working with large datasets. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment. EDUCATION ENGINEERING DEGREE OR EQUIVALENT TRAINING AI, ML CERTIFICATIONS AI, ML About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: A passionate and skilled Python, AI/ML Engineers with 3-5 years of experience. You will work on cutting-edge projects involving Generative AI, machine learning, and scalable systems, helping to build intelligent solutions that deliver real business value. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, we’d love to hear from you. WHAT YOU’LL DO: Design, develop, and deploy machine learning models and Generative AI solutions. Work on end-to-end ML pipelines, from data ingestion and preprocessing to model deployment and monitoring. Collaborate with cross-functional teams to understand requirements and deliver AI-driven features. Build robust, scalable, and well-documented Python-based APIs for ML services. Optimize database interactions and ensure efficient data storage and retrieval for AI applications. Stay updated with the latest trends in AI/ML and integrate innovative approaches into projects. WHAT YOU’LL NEED: Python – Strong hands-on experience. Machine Learning – Practical knowledge of supervised, unsupervised, and deep learning techniques. Generative AI – Experience working with LLMs or similar GenAI technologies. API Development – RESTful APIs and integration of ML models into production services. Databases – Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.). Good to have: Cloud Platforms – Familiarity with AWS, Azure, or Google Cloud Platform (GCP). TypeScript/JavaScript – Frontend or full-stack exposure for ML product interfaces. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, etc.) Exposure to containerization (Docker) and orchestration (Kubernetes). WHAT’S IN IT FOR YOU? At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: A passionate and skilled Python, AI/ML Lead Engineer with 7+ years of experience. As a Python/AI Lead, you will oversee the development and implementation of machine learning models, AI-driven solutions, and data-driven products. You will guide a team of engineers and collaborate with cross-functional teams to ensure the timely and high-quality delivery of projects. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, we’d love to hear from you. WHAT YOU’LL DO: Lead the design, development, and deployment of Gen AI and machine learning solutions using Python. Provide technical guidance and mentorship to team members, ensuring code quality, best practices, and performance optimization. Collaborate with product managers, data scientists, and other stakeholders to define project requirements and objectives. Take ownership of the full software development lifecycle (SDLC), from design to deployment, maintenance, and optimization. Perform code reviews, write technical documentation, and maintain high standards of software quality. Stay up to date with the latest trends and advancements in AI, machine learning, and Python development. Identify and mitigate technical risks in projects while ensuring timely delivery. Foster a collaborative environment and promote knowledge sharing across the engineering team. WHAT YOU’LL NEED: 7+ years of professional experience in Python development, with at least 2 years in a technical leadership role. Strong hands-on experience with AI/ML frameworks, Gen AI LLMs and libraries such as TensorFlow, Scikit-learn, or Keras. Python – Strong hands-on experience. Machine Learning – Practical knowledge of supervised, unsupervised, and deep learning techniques. Generative AI – Experience working with LLMs or similar GenAI technologies. API Development – RESTful APIs and integration of ML models into production services. Databases – Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.). Good to Have Skills: Cloud Platforms – Familiarity with AWS, Azure, or Google Cloud Platform (GCP). TypeScript/JavaScript – Frontend or full-stack exposure for ML product interfaces. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, etc.) Exposure to containerization (Docker) and orchestration (Kubernetes) WHAT’S IN IT FOR YOU? At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: We are looking for a passionate and skilled Python, AI/ML Engineer with 5-7 years of experience to join our team. You will work on cutting-edge projects involving Generative AI, machine learning, and scalable systems, helping to build intelligent solutions that deliver real business value. If you thrive in a fast-paced environment and love solving complex problems using data and intelligent algorithms, we’d love to hear from you. WHAT YOU’LL DO: Design, develop, and deploy machine learning models and Generative AI solutions. Work on end-to-end ML pipelines, from data ingestion and preprocessing to model deployment and monitoring. Collaborate with cross-functional teams to understand requirements and deliver AI-driven features. Build robust, scalable, and well-documented Python-based APIs for ML services. Optimize database interactions and ensure efficient data storage and retrieval for AI applications. Stay updated with latest trends in AI/ML and integrate innovative approaches into projects. WHAT YOU’LL NEED: Python – Strong hands-on experience. Machine Learning – Practical knowledge of supervised, unsupervised, and deep learning techniques. Generative AI – Experience working with LLMs or similar GenAI technologies. API Development – RESTful APIs and integration of ML models into production services. Databases – Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.). Good to Have Skills: Cloud Platforms – Familiarity with AWS, Azure, or Google Cloud Platform (GCP). TypeScript/JavaScript – Frontend or full-stack exposure for ML product interfaces. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, etc.) Exposure to containerization (Docker) and orchestration (Kubernetes). WHAT’S IN IT FOR YOU? At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability

About Us: mavQ is an innovative AI company that provides intelligent business automation solutions, empowering organizations with AI-driven tools to streamline operations, enhance efficiency, and accelerate digital transformation. Headquartered in the U.S., with offices in India, mavQ simplifies complex workflows, automates document processing, and delivers actionable insights. Scalable and customizable, mavQ enables organizations to optimize processes, reduce manual effort, and achieve their business goals with ease. Role Overview: We are seeking an experienced and dynamic Technology Leader to lead our talented engineering team. The ideal candidate will have a strong background in building B2B SaaS applications using Java, Spring, and Angular or React for the frontend. This role requires extensive experience across the full stack engineering spectrum, a deep understanding of cloud platforms such as AWS and GCP, and proficiency in system and network architecture. Additionally, the candidate should have hands-on experience with cloud infrastructure for application deployment and an understanding of integrating and hosting machine learning models. Job Title: VP - Product Development Location: Hyderabad, India Key Responsibilities: Strategic Leadership: Develop and execute the engineering strategy that aligns with the company’s vision, goals, and business objectives. Collaborate with executive leadership to shape the product roadmap and ensure that engineering efforts are in sync with business priorities. Drive innovation within the engineering team, identifying emerging technologies and trends that can create competitive advantages. Customer Trust & Success: Champion customer-centric development practices, ensuring that all engineering efforts are focused on delivering value and building trust with customers. Collaborate with customer success, product, and sales teams to understand customer needs and feedback, and translate them into actionable engineering strategies. Ensure that engineering teams are equipped to deliver reliable, secure, and scalable products that instill confidence in our customers. Technical Leadership & Operations: Cloud & Infrastructure Management: Design and implement robust system and network architectures utilizing AWS and GCP to build scalable, reliable cloud solutions. Deploy and manage applications on Kubernetes, ensuring optimal performance and scalability. Handle traffic routing with Ingress Controllers (Nginx), oversee Certificate Management using Cert Manager, and manage secrets with Sealed Secrets and Vault. Enhance application performance with Caching solutions like Redis and Memcache, and implement comprehensive logging and tracing systems using Loki, Promtail, Tempo, and OpenTelemetry (Otel). Establish and maintain monitoring and alerting systems with Grafana, Prometheus, and BlackBoxExporter. Manage Infrastructure as Code using Terraform, oversee Manifest Management with Gitlab, and lead Release Management workflows using Gitlab and ArgoCD. Application & Data Management: Manage Authentication and Authorization services using Keycloak and implement Event Streaming solutions with Kafka and Pulsar. Oversee database management and optimization utilizing tools such as Pg Bouncer, Mulvis, OpenSearch, and ClickHouse. Implement and manage distributed and real-time systems with Temporal. Leverage advanced data processing tools like Trino, Apache Superset, Livy, and Hive to meet specialized data specific requirements. Machine Learning Integration: Collaborate with data scientists to integrate and host machine learning models within applications, implementing MLOps practices to streamline the deployment, monitoring, and management of ML models in production. Utilize tools such as TensorFlow Extended (TFX), Kubeflow, MLflow, or SageMaker for comprehensive ML lifecycle management, ensuring robust model versioning, experimentation, reproducibility, and optimizing ML pipelines for performance, scalability, and efficiency. Project Management: Oversee project timelines, deliverables, and resource allocation. Coordinate with cross-functional teams to align on project goals and deliverables. Ensure timely and high-quality delivery of software products. Qualifications: Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience (12+ years) in software engineering, with a strong focus on B2B SaaS applications. At least 5 years of experience in a senior leadership role, preferably at the VP level. Strategic & Technical Skills: Demonstrated ability to develop and execute engineering strategies that align with business goals. Expertise in full stack development, cloud platforms (AWS, GCP), and Kubernetes. Strong experience with infrastructure management, MLOps, and integrating machine learning models. Ability to translate customer needs into technical requirements and ensure the delivery of high-quality products. Leadership & Soft Skills: Visionary leadership with the ability to inspire and guide large engineering teams. Strong business acumen with the ability to align technical efforts with business objectives. Excellent communication and interpersonal skills, with a focus on building strong cross-functional relationships. Proven track record of fostering customer trust and delivering products that drive customer success. Why Join Us: Leadership: Be a key player in shaping the future of our company and driving its success. Innovation : Lead the charge in adopting cutting-edge technologies and practices. Customer Impact : Play a pivotal role in ensuring our customers’ success and satisfaction. Growth : Opportunities for professional development and career advancement. Culture : A supportive and collaborative work environment where your contributions are valued. Show more Show less

Key Responsibilities: Design and implement end-to-end ML pipelines using tools like MLflow, KubeFlow, DVC, and Airflow. Develop and maintain CI/CD workflows using Jenkins, CircleCI, Bamboo, or DataKitchen. Containerize applications using Docker and orchestrate them with Kubernetes or OpenShift. Collaborate with data scientists to productionize ML models and ensure reproducibility and scalability. Manage data versioning and lineage using Pachyderm or DVC. Monitor model performance and system health using Grafana and other observability tools. Write robust and maintainable code in Python, Go, R, or Julia. Automate workflows and scripting using Shell Scripts. Integrate with cloud storage solutions like Amazon S3 and manage data in RDBMS such as Oracle, SQL Server, or open-source alternatives. Ensure compliance with data governance and security best practices. Required Skills and Qualifications: Strong programming skills in Python and familiarity with ML/DL libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with MLOps tools such as MLflow, KubeFlow, DVC, Airflow, or Pachyderm. Proficiency in Docker and container orchestration using Kubernetes or OpenShift. Experience with CI/CD tools like Jenkins, CircleCI, Bamboo, or DataKitchen. Familiarity with cloud storage and data management practices. Knowledge of SQL and experience with RDBMS (Oracle, SQL Server, or open-source). Experience with monitoring tools like Grafana. Strong understanding of DevOps and software engineering best practices. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Key Accountabilities JOB DESCRIPTION Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. Qualifications, Experience And Skills Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good To Have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. Show more Show less

We’re hiring a Senior ML Engineer (MLOps) — 3-5 yrs Location: Kochi or Chennai What you’ll do Tame data → pull, clean, and shape structured & unstructured data. Orchestrate pipelines → Airflow / Step Functions / ADF… your call. Ship models → build, tune, and push to prod on SageMaker, Azure ML, or Vertex AI. Scale → Spark / Databricks for the heavy lifting. Automate everything → Docker, Kubernetes, CI/CD, MLFlow, Seldon, Kubeflow. Pair up → work with engineers, architects, and business folks to solve real problems, fast. What you bring 3+ yrs hands-on MLOps (4-5 yrs total software experience). Proven chops on one hyperscaler (AWS, Azure, or GCP). Confidence with Databricks / Spark , Python, SQL, TensorFlow / PyTorch / Scikit-learn. You debug Kubernetes in your sleep and treat Dockerfiles like breathing. You prototype with open-source first, choose the right tool, then make it scale. Sharp mind, low ego, bias for action. Nice-to-haves Sagemaker, Azure ML, or Vertex AI in production. Love for clean code, clear docs, and crisp PRs. Why Datadivr? Domain focus: we live and breathe F&B — your work ships to plants, not just slides. Small team, big autonomy: no endless layers; you own what you build. 📬 How to apply Shoot your CV + a short note on a project you shipped to careers@datadivr.com or DM me here. We reply to every serious applicant. Know someone perfect? Please share — good people know good people. Show more Show less