Job Title: Data Scientist Senior Consultant II Company: Allstate India Job Category: Machine Learning Roles & Responsibilities: Job Description In this role, you will design and build AI\-driven Insight Studio for the Scholar product, transforming large\-scale customer conversations into actionable, real\-time insights. You will hands\-on build and productionize AI systems, integrating LLMs, RAG pipelines, and AI agents into scalable, reliable applications that directly power business decisions. Key Responsibilities * Translate complex business problems into end\-to\-end AI solutions, leveraging machine learning and Generative AI techniques aligned with product and business goals. * Design, build, and operate production\-grade AI systems for conversational understanding, summarization, classification, and insight generation from large\-scale customer interaction data. * Architect and implement Retrieval\-Augmented Generation (RAG) pipelines, integrating structured and unstructured data sources to deliver context\-aware, grounded, and explainable AI outputs. * Build and optimize vector search and embeddings\-based systems, enabling semantic search, similarity matching, and efficient information retrieval at scale. * Design and implement AI agent workflows, orchestrating multi\-step reasoning, tool usage, and decision\-making using frameworks such as LangChain, LangGraph, or similar. * Apply prompt engineering and LLM orchestration techniques to improve output quality, consistency, latency, and cost efficiency in production environments. * Integrate foundation models via platforms such as AWS Bedrock, including fine\-tuning, evaluation, and deployment strategies tailored to business use cases. * Build and maintain scalable data pipelines and distributed processing systems to support real\-time and batch AI workloads. * Own end\-to\-end lifecycle of AI/ML solutions, including data preparation, model development, evaluation (including LLM evaluation and guardrails), deployment, and continuous improvement. * Implement MLOps and LLMOps practices, including CI/CD pipelines, versioning, monitoring, and automated evaluation for both traditional ML and AI systems. * Monitor and optimize AI systems using observability tools (e.g., Datadog, CloudWatch), ensuring performance, reliability, and cost control in production. * Analyze model outputs, communicate findings, and iterate on solutions to continuously improve business impact and user experience. * Strong ability to monitor, debug, and optimize AI systems in production Shift Time Shift B (India) About Allstate Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact. The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior AI Software Engineer Company: Integers.Ai Job Category: Machine Learning Roles & Responsibilities: Job Description: Senior AI Software Engineer About the Role We are looking for a highly experienced Senior AI Software Engineer to design, develop, and deliver AI\-powered software solutions that accelerate business transformation. The ideal candidate will have strong expertise in AI product development, Python\-based backend engineering, cloud platforms, and modern AI deployment practices. This role requires close collaboration with cross\-functional teams to build scalable, secure, and high\-performing AI\-enabled applications while contributing to engineering excellence in an Agile environment. Key Responsibilities * Design, develop, and maintain AI\-enabled software features and platform capabilities. * Collaborate with product managers, designers, and engineering teams to deliver innovative AI\-powered solutions. * Implement and integrate Generative AI, Machine Learning, and Natural Language Processing (NLP) technologies into existing platforms. * Develop scalable microservices and APIs to support AI applications and platform services. * Build, deploy, and maintain AI models using modern MLOps, LLMOps, and AIOps practices. * Design and manage AI data pipelines using Apache Airflow and Microsoft Fabric Data Factory. * Troubleshoot and resolve issues related to AI models, platform performance, integrations, and data pipelines. * Participate in code reviews and contribute to continuous improvement of software development and AI engineering practices. * Provide technical leadership through mentoring, code reviews, design discussions, and knowledge sharing. * Ensure solutions adhere to cybersecurity, compliance, and engineering quality standards. * Work with DevOps pipelines using Azure DevOps and Docker to support CI/CD and AI deployments. * Stay updated with emerging AI technologies, cloud services, and industry best practices. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: Senior Data Scientist Company: Arrive Job Category: Machine Learning Roles & Responsibilities: We’ve signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn’t a challenge just anyone could take on. Luckily, we have something to help us make it happen. Our people and our values. We Arrive Curious, Focused and Together. Just as our entire brand is inspired by the North Star, the shining light leading travelers to their destinations since time began, our values guide us. They help us be at our best. For our customers. For the cities and communities we serve. For ourselves. As a global team, we are transforming urban mobility. Let’s grow better, together.* The Role Arrive is seeking a Senior Data Scientist with a strong technical background to join our growing Data Science team in the AI \& Analytics Experience. The purpose of this role is to deliver data science products and impactful solutions across the organization, playing a key role in advancing Arrive's data capabilities and ensuring data insights are effectively integrated into decision\-making. This role offers a unique opportunity to leverage a modern data stack (including AWS, Snowflake, and DBT) and empower teams with self\-service analytics (through Looker and Streamlit). As a Senior Data Scientist, you will occupy a key senior individual contributor position, leading high\-impact projects, mentoring other data scientists, and guiding technical architecture. Reporting to the Manager of Data Science within the DNA function, you will partner closely with key senior stakeholders across Sales, Marketing, Finance, and Distribution. You will have a broad scope to have an impact by supporting sales via lead optimization, identifying fraudulent accounts, creating advanced parking insights (occupancy prediction, free\-to\-pay simulator, enforcement coverage, etc.), and providing tools and insights to guide the organization's next best actions. How To Make An Impact * Lead the end\-to\-end lifecycle of ML projects — from problem framing, data exploration, feature engineering, and model development to deployment and monitoring. * Partner with cross\-functional leadership on joint strategic initiatives to deliver measurable business impact. * Identify, address, and resolve architectural and technical hurdles in developing scalable data science solutions. * Drive architectural decisions regarding pipelines, model registries, or feature store development ensuring scalability, cost efficiency and reliability. * Raise the technical bar of the team by actively mentoring other data scientists and promoting engineering best practices. * Stay curious by exploring and implementing cutting\-edge data science technologies to foster continuous team innovation. * Translate complex data insights into practical business strategies and lead technical discussions with senior stakeholders. * Mentoring junior data scientists and partnering with other DNA leads to nurture a data\-driven culture and improve data literacy throughout Arrive. * Design and prototype Generative AI solutions using LLMs, RAG (Retrieval\-Augmented Generation), embeddings, vector databases, prompt engineering, and fine\-tuning (LoRA/PEFT) About You You are an expert, collaborative, and strategically minded professional who is passionate about shaping the future of urban mobility. You possess excellent technical leadership skills, with a track record of driving complex projects and raising the standards of those around you. You thrive in a fast\-paced environment where priorities can shift, utilizing your problem\-solving skills to guide your team through uncertainty. You are a natural mentor who communicates complex ideas clearly and empathetically, building strong relationships with cross\-functional stakeholders. This role is based in Bengaluru, India About Arrive Arrive, including brands like EasyPark, Flowbird, RingGo, ParkMobile and Parkopedia, is a leading global mobility platform. Present in over 90 countries and 20,000 cities, the company helps people and decision\-makers make smarter decisions about urban mobility and ease the experience of travel worldwide. Arrive delivers a unique combination of the core ingredients to make cities more livable: from smart payments and optimized car parks to data\-driven traffic reduction and support for reinvestment in public transport and green space. It’s about more than function, it’s about saving time and simplifying the experience of travel for everyone. Travel is more than a journey, it’s how you Arrive. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Principal I, Data Engineering (T) Company: Alcon Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities: * Design, develop, and operationalize reusable, scalable, and modular data and analytics platforms aligned with Alcon’s enterprise architecture to enable efficient, consistent, and automated value generation from data. * Lead the design and implementation of end\-to\-end cloud\-native data solutions on AWS, including data ingestion, transformation, orchestration, and consumption layers. * Develop and maintain robust, scalable, and high\-performance ETL/ELT data pipelines using AWS services such as Glue, Lambda, S3, Step Functions, EventBridge, and related technologies. * Design and optimize data warehouse solutions using Amazon Redshift, including schema design, performance tuning, workload management, partitioning, and query optimization. * Partner with data architects to define technical architectures, data integration patterns, and best practices for data and analytics products. * Design and implement conceptual, logical, and physical data models that support scalable analytics, reporting, and AI/ML use cases. * Advise, mentor, and coach data engineering and analytics teams on cloud architecture, data modeling, data governance, data quality, and engineering best practices. * Participate in backlog grooming, sprint planning, technical design reviews, and effort estimation activities. * Perform data analysis, data profiling, and data modeling to deliver actionable business insights and support strategic decision\-making. * Evaluate, implement, and deploy emerging data engineering, cloud, and analytics technologies to improve platform capabilities, scalability, and team productivity. * Foster a culture of innovation, collaboration, engineering excellence, automation, and continuous improvement. * Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline. * 7\+ years of hands\-on experience in data engineering, including designing, building, and supporting enterprise\-scale ETL/ELT pipelines, data platforms, data lakes, and data warehouse solutions. * 5\+ years of hands\-on experience developing cloud\-native data solutions on AWS, including S3, Redshift, Glue, Lambda, IAM, CloudWatch, EventBridge, and related services. * 4\+ years of programming experience in Python, Scala, or Java, with strong software engineering fundamentals. * 3\+ years of hands\-on experience designing, developing, optimizing, and supporting Amazon Redshift\-based data warehouse solutions. * 3\+ years of hands\-on experience with dimensional data modeling, star and snowflake schema design, data vault methodologies, and analytical data structures. * 2\+ years of experience designing both batch and streaming architectures for real\-time or near real\-time data ingestion and processing. * Strong experience building and maintaining scalable data pipelines using technologies such as AWS Glue, Apache Airflow, Kafka, Spark, or equivalent cloud\-native services. * Experience with two or more database technologies (e.g., PostgreSQL, MySQL, MongoDB) and cloud data warehouse platforms (e.g., Amazon Redshift, Snowflake, BigQuery). * Experience with source control, CI/CD, infrastructure\-as\-code, and automated deployment practices for data platforms. * Proficient with business intelligence and data visualization tools such as Tableau and Amazon QuickSight. * Strong understanding of data quality, data governance, metadata management, lineage, and monitoring practices. * Thrives in dynamic, cross\-functional team environments and demonstrates a collaborative, team\-first mindset. * Passionate problem solver with strong analytical and troubleshooting skills. * High learning agility and a continuous improvement mindset. Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason. Work Location: Karnataka, India Availability: Full time
Job Title: Artificial Intelligence Engineer Company: HTC Global Services Job Category: Machine Learning Roles & Responsibilities: We are seeking a highly skilled AI Engineer to design, develop, and deploy enterprise\-scale AI solutions that solve complex business problems across the organization. This role will focus on Generative AI, Large Language Models (LLMs), Prompt Engineering, Agentic AI systems, Machine Learning, Data Science, and cloud\-native engineering on AWS . The ideal candidate will have strong hands\-on experience in building intelligent applications end to end, including data preparation, model development, prompt design and optimization, orchestration of agentic workflows, deployment automation, infrastructure provisioning, monitoring, and production support. This role requires close collaboration with business stakeholders, data teams, architects, platform teams, and engineering partners to rapidly advance AI adoption in a secure, scalable, and business\-aligned manner. The successful candidate will act as a problem solver, trusted consultant, and technical leader, capable of translating business problems into practical AI solutions. This role will also be responsible for ensuring that AI solutions are production\-ready, observable, cost\-efficient, and aligned with enterprise governance, risk, and compliance expectations. Responsibilities include but are not limited to: * Design, develop, and deploy enterprise AI solutions using LLMs, Prompt Engineering, Agentic AI frameworks, classical Machine Learning, and Data Science techniques . * Build intelligent applications such as RAG\-based systems, AI copilots, conversational assistants, autonomous or semi\-autonomous agent workflows, document intelligence solutions, and NLP\-driven applications . * Design and optimize prompts for enterprise use cases, including prompt templates, chaining strategies, structured outputs, instruction tuning patterns, context control, and response optimization . * Develop and maintain data pipelines for structured and unstructured data to support model training, retrieval, inference, analytics, and evaluation workflows. * Implement and manage retrieval pipelines, embeddings, vector search, tool calling, memory strategies, and orchestration logic for LLM\-powered applications. * Fine\-tune, evaluate, optimize, and monitor AI/ML models and LLM\-based systems for performance, accuracy, explainability, scalability, reliability, and cost efficiency. * Collaborate with business stakeholders and cross\-functional teams to understand business requirements, define AI opportunities, structure hypotheses, and translate them into scalable technical solutions. * Build and manage AI solution infrastructure on AWS , leveraging services such as S3, Lambda, EKS/ECS, API Gateway, IAM, CloudWatch, RDS, DynamoDB, OpenSearch, Bedrock , and other approved cloud services as applicable. * Provision and manage infrastructure using Terraform/Scalr , ensuring secure, repeatable, and scalable deployments across environments. * Implement observability, evaluation, monitoring, feedback loops, and guardrails for enterprise AI applications to ensure quality, safety, and continuous improvement. * Partner with architecture, platform, DevOps, security, and governance teams to ensure AI solutions meet enterprise standards for security, compliance, resiliency, and operational support. * Lead technical design discussions, code reviews, solution architecture decisions, and engineering best practices for AI application development. * Support MLOps / LLMOps capabilities including CI/CD, model and prompt versioning, automated testing, deployment automation, runtime monitoring, and production incident response. * Communicate technical findings, model behaviour, solution risks, and business impact clearly to leadership, stakeholders, and partner teams. * Mentor junior engineers and data scientists while contributing to reusable frameworks, accelerators, and standards for AI engineering across the firm. * Bachelor’s degree in computer science, Engineering, Data Science, Artificial Intelligence , or a related technical field. * hands\-on experience in Python and software development for AI, ML, data engineering, or cloud\-based applications. * experience in Machine Learning / Data Science , including feature engineering, model training, experimentation, evaluation, and deployment. * experience in LLMs / Generative AI use cases such as prompt engineering, prompt optimization, RAG, embeddings, vector databases, evaluation frameworks, and guardrails . * Strong experience with Prompt Engineering , including prompt design patterns, prompt chaining, instruction design, context\-window optimization, role/task prompting, structured response generation, and prompt tuning for enterprise use cases. * Strong understanding of Agentic AI patterns , including multi\-step reasoning workflows, tool usage, memory/context handling, orchestration frameworks, and autonomous task execution. * Strong experience with AWS cloud services for developing, deploying, and managing scalable AI/ML and data\-driven applications. * Hands\-on experience with Terraform and/or Scalr for infrastructure as code and environment provisioning. * Experience with APIs, microservices, and containerized deployments in enterprise environments. * Experience with SQL and NoSQL databases , vector databases, and data integration across structured and unstructured sources. * Strong knowledge of software engineering fundamentals including version control, testing, CI/CD, secure coding, code reviews, and release management. * Experience presenting technical solutions, results, and recommendations to business stakeholders and leadership. * Strong analytical thinking, problem\-solving, communication, and cross\-functional collaboration skills. * Experience in financial services, investment management, compliance, risk, or other regulated enterprise environments . * Experience with MLOps / LLMOps tools and practices for deployment, monitoring, evaluation, and lifecycle management of AI systems. * Familiarity with frameworks and tools such as LangChain, LangGraph, LlamaIndex, Hugging Face, OpenAI APIs, Amazon Bedrock, MLflow, Airflow, Spark , or similar technologies. * Experience designing and optimizing prompts for RAG workflows, agentic systems, tool calling, reasoning tasks, workflow automation, and domain\-specific enterprise AI applications . * Experience with semantic search, vector retrieval, document intelligence, conversational AI, and knowledge\-grounded AI systems . * Knowledge of Responsible AI , model governance, explainability, bias detection, risk controls, and enterprise AI safety practices. * Experience working in Agile / Scrum delivery models. * Experience leading or mentoring teams and driving implementation across multiple stakeholders. * Advanced expertise in AI/LLMs with strong hands\-on experience in end\-to\-end model development and deployment. * Solid data engineering background with experience in building and managing complex, large\-scale data systems. * Proven ability to work effectively in large, collaborative teams within fast\-paced, enterprise environments. * Strong ownership and accountability for end\-to\-end delivery * Ability to translate ambiguous business problems into practical AI solutions * Strong collaboration across engineering, product, business, and governance teams * Technical leadership in solution design and implementation * Strong communication and stakeholder management skills * Continuous learning mindset with focus on emerging AI technologies and best practices Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: AI ENGINEER L1 Company: Wipro Job Category: Machine Learning Roles & Responsibilities: Job Title: AI ENGINEER L1 City: Hyderabad State/Province: Telangana Posting Start Date: 11/5/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future\-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever\-changing world. For additional information, visit us at www.wipro.com. Join Wipro Technologies as an AI Engineer L1 within our Technology Services sector, specializing in the Databricks practice under the TS \- Applied AI \& Data service line. This role offers an opportunity to be part of a forward\-thinking, purpose\-driven company committed to digital transformation and continuous reinvention. At Wipro, our culture fosters innovation, collaboration, and career growth, empowering you to shape your own professional path while contributing to industry\-leading solutions. As an AI Engineer L1, you will be instrumental in designing, developing, and implementing data engineering solutions using Databricks. You will leverage your expertise in data engineering to build scalable and efficient data pipelines, enabling advanced analytics and AI applications. Your role will be fundamental in supporting the evolution of our business and technology capabilities, helping Wipro and its clients stay ahead in a rapidly changing digital landscape. Key Responsibilities: * Develop and maintain robust data pipelines within Databricks environments to facilitate various AI and data analytic workloads. * Collaborate with cross\-functional teams, including data scientists, software engineers, and business analysts, to integrate data solutions seamlessly. * Optimize data workflows for performance, scalability, and reliability, ensuring high\-quality data delivery to stakeholders. * Contribute to the architecture and design of data platforms that enable AI and machine learning projects. * Participate in code reviews, testing, and documentation to adhere to best practices and compliance standards. * Stay current with emerging data engineering technologies and AI trends, applying new knowledge to innovate and improve existing processes. Wipro is a global leader in information technology, consulting, and business process services. Our mission is to help clients achieve their digital transformation goals through innovative solutions and unwavering commitment. We champion diversity and inclusion, fostering a workplace where every individual can thrive and bring forward their unique perspectives. Joining us means becoming part of a community dedicated to continuous learning and redefining what is possible. * Engage in meaningful projects that drive change and innovation across multiple industries. * Access to extensive professional development resources and career progression opportunities. * A culture that values adaptability, creativity, and personal growth. * Collaborate with talented colleagues in a supportive and inclusive workplace. We invite passionate data engineers eager to evolve alongside a modern Wipro and contribute to bold digital transformation journeys. If you possess the expertise in Databricks and desire a role that challenges and inspires you, Work Location: Telangana, India Availability: Full time
Job Title: Lead Associate | Others | Bengaluru | Engineering as a Service/ Operate Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION Open Role Department/Group Overview: JOB DESCRIPTION 3\.Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Describe what the person will do in the role \- how he/she will impact the organization. As Product Software Engineer II, Observability \& Platform, you will build features for the observability and self\-service platforms used across Disney Entertainment \& ESPN engineering, developing production skills in Python, AWS, and modern observability practice alongside senior engineers. * Technical Operations is responsible for production readiness and service onboarding, alert response and first\-line eyes\-on\-glass monitoring, defining alerts and thresholds, escalation management, backend capacity management and load testing, and third\-layer support for technically complex customer issues. You must understand the demands of managing 24x7 applications at a large scale with well\-defined operational objectives. You bring solid Python fundamentals and foundational experience across AWS, systems programming, the software development lifecycle, incident response and management, and observability tooling such as Datadog, CloudWatch, and Grafana. Within Observability \& Platform you will take technical direction from the Lead and Sr Product Software Engineers, growing your expertise in observability, platform engineering, and cloud security through pairing, code review, and mentorship. You will report to the Director, Product Software Engineering. Responsibilities and Duties of the Role: Summarize job responsibilities, core deliverables and major duties. What is required for the position to exist? * Focus on major areas of work, typically 20% or more of role JOB DESCRIPTION * Develop features for telemetry pipelines, dashboards, and self\-service tooling under the guidance of senior engineers, writing production\-quality code with strong test coverage * Build and maintain backend APIs and integrations in Python that support platform services * Help maintain operational data pipelines and reliability reporting * Participate in the on\-call rotation for platform services with support from senior engineers, and grow expertise through pairing and code review * Python development skills with a focus on writing maintainable, tested code * Exposure to monitoring and observability tools such as Datadog, Prometheus, Grafana, or CloudWatch Work Location: Karnataka, India Availability: Full time
Job Title: Senior Software Engineer — Data Platform Company: Machinify India Job Category: Machine Learning Roles & Responsibilities: We're now opening a new hub in Bengaluru that isn't a satellite office or a support function: it's a genuine extension of one global Machinify, where local leaders run real teams and own real product and outcomes. The problems our teams solve are hard by design, which is exactly why they haven't been solved before, and why the work is worth doing. Joining now means building Machinify's India presence\- its people, culture, and way of working\- from the ground up, with real influence over what gets built and how. About the Role ------------------ This role sits within Data Platform Development, part of Machinify's Data Architecture, Tooling \& Frameworks organization. The Data Platform Development team builds the internal systems that power and extend the Machinify platform. We focus on scalable, reliable infrastructure for data processing, communication, and analytics across our products and customer\-facing systems. We work closely with the core Machinify platform (written in Scala) as its internal customers: we design and build orchestration and supporting services in Golang and Python that sit on top of the core engine. Our team builds internal products and analytics capabilities that improve performance, reliability, and extensibility, so the platform can scale with our customers and AI\-driven use cases. You'll design and build high\-performance backend systems that power these AI\-driven solutions, working with engineers, data experts, and innovators across the US and India. * Design and build scalable, high\-performance data software in Golang and Python. * Build and deploy Kubernetes\-based systems that manage containerized applications in cloud\-native environments. * Work with cross\-functional teams to understand customer and internal needs, so our systems keep up with future requirements. * Optimize the performance, reliability, and security of our backend infrastructure. * Work on data modeling and transformation that support machine learning workflows and AI\-powered applications. * Build agentic AI tooling and services that automate data engineering work (e.g., agentic ETL). * Own the design of services end to end, lead technical decisions, and mentor engineers. * 6\+ years of hands\-on backend software development. * Strong Golang and/or Python. * Hands\-on experience with agentic AI (building with LLMs or agents, not only using chat tools). Strong experience is expected for the Senior level. * Strong understanding of ETL processes, data pipelines, and working with large datasets. * Kubernetes orchestration, containerization (Docker, Helm), and cloud\-native development. * Experience building scalable systems that handle high volumes of data and transactions. * A cloud platform (AWS, Azure, or GCP) and its ecosystem tools. * CI/CD pipelines and automated testing. * Strong problem\-solving skills and a passion for clean, maintainable code. Work Location: Karnataka, India Availability: Full time
Job Title: Lead Product Developer Company: BMC Software Job Category: Machine Learning Roles & Responsibilities: Hybrid: \#LI\-Hybrid BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry\-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage. The Control\-M product line is BMC’s orchestration and automation platform. It helps the world's largest companies to automate time\-sensitive, business\-critical workflows. We orchestrate data and machine learning pipelines, supply chains, production lines, financial transactions, and other processes in complex IT environments worldwide. We continuously grow by adding and implementing the most cutting\-edge technologies, conducting innovative Just Do It marathons, thinking about new features to add and investing in our employee training programs! Here is how, through this role, you will contribute to BMC’s and your own success: * Product Engineering (Primary Focus) – Design, build, and iterate on core components of a data automation and data management platform across the full stack, taking features from concept through production in a 0–1 product environment. * Hands\-on Development – Spend most of your time writing high\-quality, production\-ready code across the stack, including backend development (primarily Java and Python) and frontend development ReactJS (latest versions), reviewing pull requests, and improving existing systems with a strong bias toward simplicity, maintainability, and delivery. * Data Platform Capabilities – Implement platform capabilities such as data orchestration, data lineage, observability, governance, and resilience, with a practical understanding of how enterprise customers operate and scale data platforms. * Integration \& Cloud Enablement – Build and maintain integrations across frontend and backend with cloud platforms (AWS, Azure, GCP) and enterprise systems to support automation, deployment, and real\-world customer environments. * Product Collaboration – Partner closely with product management, designers, and stakeholders to translate product requirements into end\-to\-end working software, provide implementation feedback, and support rapid learning from customer feedback. * 10\+ years of professional software development experience, including time spent building and shipping B2B products for external customers. * Strong proficiency in Java/Python, with hands\-on experience delivering and maintaining production\-grade systems. * Good system design skills, with the ability to make sensible trade\-offs between short\-term delivery and longer\-term platform evolution. * Comfort operating in ambiguous, startup\-style environments where priorities evolve and engineers are expected to lead through execution. * Strong communication skills and the ability to collaborate effectively with engineers, product managers, and other stakeholders. Whilst these are nice to have, our team can help you develop in the following skills: * + Solid experience with data products, particularly in one or more of the following areas: * + Data orchestration * + Data management platforms * + Data lineage, observability, or governance * Experience building or extending workflow orchestration platforms (e.g., Airflow, Dagster, Prefect), including custom operators and production deployments. * Experience contributing to or commercializing open\-source software. * Familiarity with AI/ML concepts, including how emerging technologies (such as LLMs) could enhance automation or developer productivity in data platforms. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. Work Location: Karnataka, India Availability: Full time
Job Title: Senior Site Reliability Engineer Company: GoDaddy Job Category: Machine Learning Roles & Responsibilities: The platform is growing: new internal consumers, Kubernetes\-aware patching, AI\-driven vulnerability remediation, and an observability stack that needs real alerting. We're hiring a Senior SRE to own critical feature areas independentlywithin 12 months the expectation is SME status in two or more areas and active contribution to architectural decisions alongside the team's Staff leads! What you'll get to do... * Own the Kubernetes\-aware patching path: cordon/drain/uncordon coordination, etcd quorum gating, per\-cluster lock prioritisation, and deadlock prevention — the team's most technically demanding active work area. * Own cluster onboarding end\-to\-end and drive lead time from weeks to days; identify friction points, document repeatable steps, and build runbooks so each successive onboarding is faster than the last. * Own the Vault integration surface: AppRole credential management, PKI certificate lifecycle, Vault\-backed AWX credential types, and IAM key rotation toward a clean, maintainable credential model with solid test coverage. * Build meaningful alerting so the team learns about patching failures from dashboards — not customer tickets. Own at least one Grafana dashboard area end\-to\-end: metrics ingestion through actionable alert rules. Contribute to AI/automation initiatives including the AI\-driven vulnerability remediation pipeline and other tooling that reduces toil for the whole team. * Mentor junior contributors among colleagues, participate in code review, and contribute to architectural decisions alongside Staff leads. Participate in the on\-call rotation and own incident response independently at the Senior level — timeline, communication, and blameless postmortem. Your experience should include.. * 7\+ years of hands\-on Site Reliability Engineering or infrastructure engineering experience in a production environment. * Ansible — strong practitioner: writes idempotent roles and playbooks independently, understands variable precedence, handlers, and molecule\-style testing. * Linux systems administration — yum/dnf, systemd, kernel patching, and diagnosing package conflicts; the platform patches Linux hosts and this is non\-negotiable. * Kubernetes — operational depth: pod scheduling, node lifecycle, and etcd quorum awareness; not just running kubectl apply. * Terraform / IaC — able to read, modify, and write modules configured through variable files; cluster provisioning work requires IaC literacy. * Python scripting — enough to own and extend utility scripts and the machine learning\-based vulnerability pipeline. * GitHub Actions and CI pipelines — comfortable with ansible\-lint, Semgrep gates, and conventional commit standards. * On\-call and incident response — prior rotation experience; able to own an incident independently. AI\-assisted development — team co\-authors commits with AI tools daily; active participation is encouraged, not optional. * SLI / SLO literacy — able to contribute to defining and instrumenting service\-level objectives as the team formalizes its reliability framework. You might also have... * HashiCorp Vault — AppRole, PKI, or dynamic secrets; Vault responsibilities are ongoing on the team. AWX / Automation Controller operational experience — not required but accelerates ramp. * ServiceNow — CMDB, Change Orders, or REST API integration. * Grafana / Loki / Prometheus — building dashboards and alert rules. * MySQL replica awareness — replica detection precheck work is active. * HAProxy or LB\-aware drain logic — relevant to concurrent patching coordination. * OpenStack or comparable private cloud / bare\-metal exposure. Experience identifying and reducing process lead time — handoff delays, wait states, or manual steps that can be automated. About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. Work Location: Maharashtra, India Availability: Full time
