Job Title: Product Manager – Digital Payment Services Location: Bengaluru (Hybrid) About the Role: We are seeking a Product Manager – Digital Payment Services to lead innovation in payment solutions, ensuring secure and seamless transactions. You will define the product strategy, roadmap, and optimization of our digital payment platforms. Key Responsibilities: Drive strategy & roadmap for digital payment services. Enhance payment security, reliability, and performance . Collaborate with engineering, finance, and fraud prevention teams . Optimize payment workflows, integrating BNPL, digital wallets, and cross-border solutions . Ensure compliance with industry regulations (PCI DSS, PSD2) . Leverage data insights to improve approval rates and reduce fraud. Qualifications: 10 to 12 years in Product Management including 5-8 years of experience in digital payments, fintech, or e-commerce. Expertise in payment processing, APIs, gateway functions, and fraud prevention . Knowledge of global payment methods and third-party integrations . Strong data analysis, stakeholder management, and communication skills . Bachelor’s degree in Business, CS, or related field ( MBA preferred ). What We Offer: Opportunity to lead transformative payment projects . A collaborative and innovative work environment. Competitive benefits and professional growth opportunities . Join us in shaping the future of digital payments ! Show more Show less
Location: Altimetrik base location (Bangalore/Chennai/ Pune/Jaipur/Hyderabad /Gurugram) Qualifications: A Bachelor's degree in a relevant field such as Computer Science, Software Engineering, or Data Science is preferred. A Masters degree in Artificial Intelligence is a plus. 4-8 years of experience working with Python and a high level of proficiency in the language. Outstanding analytical and problem-solving abilities. Extensive experience with Generative AI, with a solid understanding of end-to-end pipelines involving Large Language Models (LLMs) such as OpenAI, Llama, Claude, etc. Proven expertise in Prompt Engineering. Strong knowledge of NLP techniques, including text summarization, question answering, and more. Proficient in software design patterns, with experience in writing modular, reusable, and maintainable code. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure). Relevant experience with Docker and Kubernetes is highly desirable. Strong ability to rapidly prototype ideas and tackle complex problems with innovative solutions. Experience working within an Agile development environment. Excellent communication and presentation skills. Show more Show less
Location: Bangalore, Pune Notice Period: Immediate to 10 days Experience: 13+ Years About the Role: We are looking for an experienced Engineering Manager (Generative AI) to lead client-facing AI/ML initiatives in a dynamic services environment. In this role, you will be the bridge between clients, data science teams, and engineering groups, ensuring the successful delivery of cutting-edge Generative AI solutions aligned to business goals. You will manage multiple concurrent projects involving emerging technologies like large language models (LLMs), diffusion models, and prompt engineering—while handling client communications, technical planning, and delivery governance. Key Responsibilities: Own and drive end-to-end Generative AI project delivery for clients—from pre-sales support and requirements gathering to deployment and post-launch support. Coordinate with cross-functional teams (data scientists, MLOps engineers, software developers, UI/UX designers) to translate client needs into scalable AI solutions. Manage project scope, timelines, budgets, and resource allocation across multiple client engagements. Conduct client workshops, create solution roadmaps, and define MVPs with measurable KPIs. Track progress using Agile methodologies and ensure timely delivery within SLA and quality standards. Guide internal teams on technology choices and delivery best practices in the Generative AI ecosystem (e.g., OpenAI, Hugging Face, LangChain, Pinecone, etc.). Support proposal development, solution architecture reviews, and pricing during pre-sales activities. Maintain clear, consistent communication with clients and internal leadership; manage escalations, risks, and delivery blockers proactively. Stay current with advancements in Generative AI and bring innovation to client engagements. Required Qualifications: 13+ years of experience in software development, GenAI, machine learning with at least 5 years in technical project management roles. Solid understanding of AI/ML workflows and hands-on familiarity with Generative AI concepts (LLMs, embeddings, vector search, prompt engineering, etc.). Conversant with Python and SQL. Practical experience in designing business solutions in these areas, and explaining those to the customers as part of pre-sales and/or delivery stage. Excellent analysis, and problem-solving skills. Deep thinking ability. Proven knowledge of data structure and algorithms. Proven track record of strong leadership and decision-making skills to drive consensus on requirements and ensure timely delivery of critical customer-facing AI features. Strong track record of developing, leading, coaching, and mentoring machine learning engineers and scientists is vital. Proficiency in Agile project management frameworks and tools (e.g., Jira, Confluence, Azure DevOps). Strong communication and stakeholder management skills—especially in client-facing roles. Cultivate a positive and growth-oriented environment. Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended; Master’s or MBA is a plus. Preferred Skills: Experience working with cloud-native AI stacks (AWS SageMaker, Azure ML, Google Vertex AI, etc.). Exposure to MLOps and AI model lifecycle management. Technical certifications in AI/ML, cloud, or project management (e.g., PMP, PMI-ACP, CSM). Experience in consulting or delivering multi-region/global enterprise AI projects. What’s in it for You: Work with a fast-growing team on cutting-edge AI solutions across global clients. Opportunity to shape and scale next-gen AI delivery practices. Competitive compensation and flexible work arrangements. Access to continuous learning, certifications, and professional growth in the AI domain. Show more Show less
About the Role The ideal candidate will play a dual role, acting as the Product Owner (PO) and SME in Payments. Experience - 12 to 15 years Notice Period - Immediate to 10 days Key Responsibilities Product Owner Responsibilities Define, maintain, and prioritize the team backlog based on business value and customer needs. Clearly articulate epics, features, and user stories in alignment with program priorities and business objectives. Collaborate closely with business stakeholders, solution architects, and other Product Owners to ensure alignment with enterprise goals. Provide domain expertise in cross-border payments, clearing & settlement processes, and payment processing workflows. Manage and validate SWIFT MT/MX (ISO 20022) message requirements and ensure compliance with regulatory standards. Act as the voice of the customer within the Agile Team, refining requirements, and accepting completed stories. Participate actively in PI (Program Increment) planning, system demos, and inspect & adapt events. Business Analyst Responsibilities Elicit, analyze, and document business and system requirements. Perform gap analysis, impact analysis, and work with stakeholders to finalize business solutions. Support functional specification preparation, test case validation, and UAT support. Maintain clear, detailed documentation of payment workflows, message structures, and process maps. Required Skills & Experience Strong knowledge of Banking Payments Domain: SWIFT MT and MX (ISO 20022) message standards CBPR+ Clearing and Settlement process Single Euro Payments Area (SEPA) Expertise in GPP Classic, GPP Fusion, OBPM (Oracle Banking Payments) Proven experience as a Business Analyst in payments. Deep understanding of SAFe Agile framework and practices. Excellent communication, facilitation, and stakeholder management skills. Preferred Qualifications SAFe® Product Owner/Product Manager (POPM) Experience in cross-functional delivery teams within an Agile Release Train (ART) Show more Show less
Location Bangalore (Hybrid work model) Notice Period - Immediate to 15 days Responsibilities Document high-level requirements, acceptance criteria and KPI’s that push the product strategy forward and achieve key objectives Maintain epics and user stories, work with the team for prioritizing, grooming and provide clarity and direction to the development team Excellent stakeholder management skills and good communication skills Communicate across the organization to ensure alignment and clarity of what is being developed and why Assist in creating a strategy behind the why, when, and what (and what not) for the product Guide product teams with diverse range of skill sets, locations and direct and in-direct reporting relationships Make data-informed decisions based on a sound understanding of organizational priorities, Voice of Customer, analytics, benchmarks, industry reporting and emerging trends Skills needed 8 to 12 years of end-to-end product management skills Strong experience in product discovery/ requirement gathering. Strong working knowledge in AI/ ML project (for 2 to 3 years). Someone who is techno-functional and can think and articulate business cases. Experience in Retail domain working with Digital Products is preferred. Detail-oriented, unfazed by technical details, committed to flawless execution. Excellent communication and stakeholder management skills Solid track record of having shipped products & features in an agile, fast paced environment. Ability to participate in technical discussions and help make technical trade-offs. Excellent verbal and written communication skills and ability to convey a product strategy to partners and senior leaders.
Experience - 5 to 10 years Notice Period - Immediate joiners only Location - Bangalore (weekly 2 days work from client office - Domlur) 1. Technical Skills Web & App Analytics Tools Google Analytics 4 (GA4) – Setup, event tracking, funnel analysis, attribution modeling Adobe Analytics – Workspace dashboards, segmentation, calculated metrics, processing rules Tag Management Systems Google Tag Manager (GTM) & Segment.io– Custom tags, triggers, variables, data layer usage SQL & Data Querying Data extraction and transformation Writing complex queries (CTEs, joins, aggregations, window functions) Platforms: Redshift, SQL Server Data Visualization & BI Tools Tableau, Looker, Power BI, Data Studio – Dashboard creation, data blending, storytelling with data A/B Testing & CRO Tools VWO, Google Optimize, Adobe Target – Test planning, setup, and result analysis Hotjar Scripting & Automation Excel/Sheets – Pivot tables, formulas, lookups, charts, macros 2. Analytical & Marketing Skills Attribution Modelling Last click, linear, position-based, data-driven models Multi-touch attribution and funnel drop-off analysis Customer Journey Mapping Path analysis, event funnels, retention analysis Marketing Performance Analytics Campaign ROI tracking (across paid, organic, affiliate) UTM parameter strategy and traffic source analysis Segmentation & Cohort Analysis Behavioral cohorts, lifecycle stages Conversion Rate Optimization (CRO) Hypothesis formulation, testing plan, post-test analysis Data Quality & Governance Data layer validation, debugging tools, ensuring tracking integrity 3. Soft Skills & Strategic Thinking Problem Solving & Insight Generation Translating business questions into analysis Providing actionable insights from data Communication & Storytelling Presenting data to non-technical stakeholders Creating executive-ready dashboards and narratives Stakeholder Management Cross-functional collaboration with marketing, product, dev, and leadership teams Project Management Scoping analytics implementations, prioritizing work, agile reporting cycles Attention to Detail Precision in data validation, anomaly detection, and impact analysis Nice-to-Have Skills Knowledge of JavaScript and DOM for debugging Familiarity with server-side tracking and first-party data strategy Experience with Privacy & Compliance (GDPR, CCPA) Familiarity with eCommerce user journey
You will work on both the Angular frontend and FastAPI backend, helping to build report download features, connect APIs, and generate PDFs using tools like JasperReports or WeasyPrint. Key Skills Needed Frontend (Angular) : Angular v12+, TypeScript, RxJS Angular Material components Build and manage UI components and forms Backend (FastAPI) Python 3.10+, FastAPI, Pydantic REST APIs development Basic knowledge of Spring Boot (Java) is a plus Soft Skills Able to switch easily between frontend and backend work Good team player - work well with QA and report developers Clear understanding of how data flows from UI, API, PDF Roles & Responsibilities Build and connect UI and backend features for reporting workflows Develop secure APIs for downloading/exporting reports Work on generating PDFs using JasperReports or WeasyPrint Fix bugs, improve performance, and write clean code Help test and debug features with QA Manage environment configs and logs for smooth deployment Write simple tests to make sure code works properly (ref:hirist.tech)
Backend Developer – TypeScript & AWS Serverless Location: Bangalore, Hyderabad, Chennai, Pune, Gurgaon, Jaipur Notice: Immediate to 15 days Experience: 5 to 10 Years Key Skills Required: Strong hands-on experience with TypeScript & Node.js Must have experience with AWS Lambda and AWS SAM (Serverless Application Model) Good understanding of AWS services : DynamoDB, SQS, API Gateway, etc. Experience working with AWS Serverless Architecture Python is a good-to-have What You’ll Do: Design and develop backend services using TypeScript on AWS Lambda Build and manage serverless applications using AWS SAM Collaborate with frontend, DevOps, and product teams Optimize performance and ensure high availability of services
Notice Period - Immediate to 15 days Experience - 6 to 10 years Location - Bangalore, Hyderabad, Pune, Chennai, Jaipur, Gurgaon Key Responsibilities Design, deploy, and manage scalable and fault-tolerant infrastructure on AWS using services like EC2, Lambda, ECS, RDS, S3, and VPC. Architect and implement multi-region and highly available cloud solutions to support business continuity. Optimize AWS environments for performance, cost, and scalability. Develop and maintain CI/CD pipelines using Jenkins. Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or CDK. Automate operational tasks, such as monitoring, backups, and patch management. Implement cloud security best practices, including IAM, encryption, logging, and network segmentation. Conduct security assessments of AWS environments and remediate vulnerabilities. Design and enforce policies for secure DevOps workflows (e.g., secure secrets management, least privilege access). Integrate security tools into CI/CD pipelines for automated testing and compliance (e.g., Snyk, AWS Security Hub). Ensure compliance with industry standards (e.g., SOC 2, HIPAA, GDPR) through proper logging, monitoring, and reporting. Set up monitoring and alerting systems using tools like New Relic, CloudWatch or Prometheus. Perform root cause analysis and implement solutions to prevent recurring issues. Design and execute disaster recovery and incident response plans. Work closely with development, operations, and security teams to align objectives and improve workflows. Mentor junior engineers and provide technical leadership on cloud and DevOps practices. Act as a subject matter expert on AWS and security topics within the organization. Technical Skills Strong knowledge of AWS services, including EC2, Lambda, ECS/EKS, S3, CloudFormation, and IAM. Experience with networking concepts in AWS (e.g., VPC, Route 53, Transit Gateway, Direct Connect). Deep understanding of AWS security services, such as AWS WAF, Shield, GuardDuty, Security Hub, and KMS. Expertise in Jenkins. Proficiency with IaC tools like Terraform, AWS CloudFormation, or CDK. Scripting and automation using Python and Bash. Familiarity with cloud-native security concepts, including identity and access management, encryption, and zero-trust architecture. Knowledge of vulnerability scanning, penetration testing, and remediation strategies. Understanding of regulatory compliance requirements (e.g., SOC 2, HIPAA, GDPR, PCI-DSS). Preferred Soft Skills Strong problem-solving and analytical skills. Excellent communication and documentation abilities. Ability to work in a fast-paced, collaborative environment. Leadership and mentorship experience.
Job Title: Leader - Resource Management (RMG) Location: Bangalore, India Experience: 17 to 22 years Industry: IT Services / Technology / Consulting Role Summary We are seeking a seasoned Resource Management professional with deep experience in bench management, workforce planning, and capacity optimization within the IT services industry. This role demands strategic leadership, strong stakeholder management, and the ability to drive efficient deployment across projects, practices, and geographies. Key Responsibilities Lead the end-to-end resource management function across delivery units, ensuring optimal deployment and bench utilization. Work closely with Delivery, Talent Acquisition, and HR to forecast and fulfill resource needs in alignment with project pipelines. Own bench management, including tracking, redeployment, skilling plans, and minimizing idle time. Design and drive capacity planning, demand forecasting, and resource allocation strategies. Develop and track key metrics: bench cost, fulfillment TAT, skill availability, supply vs demand mapping, etc. Manage internal staffing platforms/tools and work on continuous process improvements. Partner with business leaders to support strategic workforce planning, including global delivery models. Lead a team of RMG professionals and drive governance with delivery leadership. Ensure data integrity, timely reporting, and compliance with internal resourcing policies. Key Requirements 17 to 22 years of overall experience, with a minimum of 10+ years in core RMG / Bench / Workforce Management in an IT Services environment. Proven track record of managing large-scale resourcing operations (5,000+ headcount preferred). Strong understanding of global delivery models, contract staffing, and ramp-up/ramp-down cycles. Excellent analytical, communication, and stakeholder management skills. Proficient in tools like SAP, Salesforce, or in-house RMG platforms. Ability to lead and motivate a large team, drive change, and influence senior Qualifications: Bachelors or Masters Degree in Engineering / Business / Operations. Experience working with Tier 1 IT service companies or global technology consulting firms. (ref:iimjobs.com)
Location - Chennai, Pune, Bengaluru, Hyderabad Experience - 8 to 11 years Notice period - Immediate/15 days Business Analyst with overall 8+ years of experience Elicit, analyse, and document business and system requirements Support functional specification preparation, test case validation, and UAT support Collaborate closely with business stakeholders, solution architects, and other Product Owners to ensure alignment with enterprise goals. Strong knowledge in Hadoop ecosystem with real time experience in Hadoop projects Good Experience in Hadoop ecosystem components & tools for data processing, storage, and retrieval Work experience with Cloud platforms will be added advantage Act as the voice of the customer within the Agile Team, refining requirements, and accepting completed stories. Participate actively in PI (Program Increment) planning, system demos, and inspect & adapt events.
Location: Chennai Notice Period: Immediate Joiners only Experience: 6 to 10 years Roles and Responsibilities 1. Understanding Business Needs & Requirements Collaborate with business stakeholders (Product, Risk, Operations) to gather custody service requirements. Stay updated on custody industry trends, regulations, and emerging technologies (e.g., blockchain, digital assets). 2. Defining Product Vision & Roadmap Develop and maintain product vision & strategy to enhance efficiency, security, and scalability. Prioritize features based on business value, risk mitigation, and regulatory requirements . Align short-term and long-term roadmap with strategic business goals. 3. Ensuring Regulatory Compliance Ensure adherence to SEC, MiFID II, FATCA, AML , and other industry regulations. Work with risk teams to identify and mitigate operational risks in custody services. 4. Managing Backlog & Requirements Maintain and prioritize product backlog with key features and technical improvements. Write clear user stories, functional requirements, and acceptance criteria . 5. Cross-functional Collaboration Work with development teams to ensure alignment with product goals and compliance needs. Partner with UX/UI teams to enhance the user experience in custody processes. Support operations & support teams with documentation, training, and troubleshooting. 6. Client & Stakeholder Communication Present product updates, new features, and roadmaps to internal and external stakeholders. 7. Driving Innovation & Technology Advancements Explore emerging technologies like blockchain and AI for custody solutions. Lead initiatives to automate workflows and improve operational efficiency . Key Skills & Qualities Required Domain Expertise – Strong knowledge of asset custody, securities servicing, and regulations Technical Knowledge – Understanding of custody systems, APIs, and integrations. Communication Skills – Ability to convey complex concepts to both technical and business stakeholders. Analytical Thinking – Ability to analyse trends, customer feedback, and system performance for data-driven decisions.
As a professional with 6 to 10 years of experience, you will play a crucial role in understanding the business needs and requirements of the custody service domain. Your responsibilities include collaborating with various business stakeholders such as Product, Risk, and Operations teams to gather necessary requirements. It is essential to stay updated on custody industry trends, regulations, and emerging technologies like blockchain and digital assets. You will be responsible for defining the product vision and roadmap by developing and maintaining a clear strategy to enhance efficiency, security, and scalability. Prioritizing features based on business value, risk mitigation, and regulatory requirements is a key aspect of your role. Aligning short-term and long-term roadmap with strategic business goals is crucial for success. Ensuring regulatory compliance is a critical part of this role, and you will need to ensure adherence to various industry regulations such as SEC, MiFID II, FATCA, AML, among others. Collaborating with risk teams to identify and mitigate operational risks in custody services is also part of your responsibilities. Managing the product backlog and requirements is another key area where you will maintain and prioritize the backlog with key features and technical improvements. Writing clear user stories, functional requirements, and acceptance criteria will be essential for effective communication and execution. Cross-functional collaboration is vital, and you will work closely with development teams to ensure alignment with product goals and compliance needs. Partnering with UX/UI teams to enhance the user experience in custody processes and supporting operations & support teams with documentation, training, and troubleshooting are also part of your role. Client and stakeholder communication is crucial, and you will be required to present product updates, new features, and roadmaps to internal and external stakeholders. Driving innovation and technology advancements is also a significant responsibility where you will explore emerging technologies like blockchain and AI for custody solutions. Leading initiatives to automate workflows and improve operational efficiency will be part of your role. Key skills and qualities required for this position include domain expertise in asset custody, securities servicing, and regulations, technical knowledge in custody systems, APIs, and integrations, strong communication skills to convey complex concepts to both technical and business stakeholders, and analytical thinking abilities to analyze trends, customer feedback, and system performance for data-driven decisions.,
Notice Period - Immediate to 15 days Experience - 6 To 10 Years Location - Bangalore, Hyderabad, Pune, Chennai, Jaipur, Gurgaon Key Responsibilities Design, deploy, and manage scalable and fault-tolerant infrastructure on AWS using services like EC2, Lambda, ECS, RDS, S3, and VPC. Architect and implement multi-region and highly available cloud solutions to support business continuity. Optimize AWS environments for performance, cost, and scalability. Develop and maintain CI/CD pipelines using Jenkins. Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or CDK. Automate operational tasks, such as monitoring, backups, and patch management. Implement cloud security best practices, including IAM, encryption, logging, and network segmentation. Conduct security assessments of AWS environments and remediate vulnerabilities. Design and enforce policies for secure DevOps workflows (e.g., secure secrets management, least privilege access). Integrate security tools into CI/CD pipelines for automated testing and compliance (e.g., Snyk, AWS Security Hub). Ensure compliance with industry standards (e.g., SOC 2, HIPAA, GDPR) through proper logging, monitoring, and reporting. Set up monitoring and alerting systems using tools like New Relic, CloudWatch or Prometheus. Perform root cause analysis and implement solutions to prevent recurring issues. Design and execute disaster recovery and incident response plans. Work closely with development, operations, and security teams to align objectives and improve workflows. Mentor junior engineers and provide technical leadership on cloud and DevOps practices. Act as a subject matter expert on AWS and security topics within the organization. Technical Skills Strong knowledge of AWS services, including EC2, Lambda, ECS/EKS, S3, CloudFormation, and IAM. Experience with networking concepts in AWS (e.g., VPC, Route 53, Transit Gateway, Direct Connect). Deep understanding of AWS security services, such as AWS WAF, Shield, GuardDuty, Security Hub, and KMS. Expertise in Jenkins. Proficiency with IaC tools like Terraform, AWS CloudFormation, or CDK. Scripting and automation using Python and Bash. Familiarity with cloud-native security concepts, including identity and access management, encryption, and zero-trust architecture. Knowledge of vulnerability scanning, penetration testing, and remediation strategies. Understanding of regulatory compliance requirements (e.g., SOC 2, HIPAA, GDPR, PCI-DSS). Preferred Soft Skills Strong problem-solving and analytical skills. Excellent communication and documentation abilities. Ability to work in a fast-paced, collaborative environment. Leadership and mentorship experience.
As a candidate for this position, you should hold a Bachelor's degree in Computer Science, Software Engineering, or Data Science. It is preferred to have a Master's degree in Artificial Intelligence. You should have 4-8 years of experience in working with Python and possess a high level of proficiency in the language. Your analytical and problem-solving skills should be exceptional. Your role will involve extensive experience with Generative AI, specifically working with Large Language Models (LLMs) such as OpenAI, Llama, and Claude. You should have proven expertise in Prompt Engineering and a strong understanding of NLP techniques including text summarization, question answering, and more. Proficiency in software design patterns is essential for this role. You should be able to write modular, reusable, and maintainable code. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) is required. Knowledge of Docker and Kubernetes is highly desirable. You should have a strong ability to rapidly prototype ideas and solve complex problems with innovative solutions. Experience working in an Agile development environment is a plus. Excellent communication and presentation skills are also necessary for this role.,
Our AI Research & Consulting Lab in Bangalore is seeking a PhD-qualified Consultant to take on the responsibility of leading enterprise advisory on agentic AI-driven workflow transformation. This position is tailored for a visionary individual whose doctoral research delved into exploring how Generative AI agents, equipped with capabilities such as perception, planning, memory, and autonomy, can revolutionize the work structure. As a Consultant, you will be tasked with guiding clients on integrating agentic AI models into their business workflows, with a focus on: - Identifying roles that can be enhanced or substituted by intelligent agents. - Determining functions where agentic systems can independently make decisions across various domains like operations, service, or support. - Developing pathways for redeployment and upskilling initiatives for employees affected by AI implementation, while aligning with sustainable workforce strategies. Key Responsibilities: Client Engagement & Analysis: - Evaluate current workflows, organizational charts, and decision-making processes to pinpoint areas where agentic AI can enhance, replace, or optimize roles. - Provide diagnostic frameworks to align tasks with agent capabilities, such as perception (NLP/vision), planning (ReAct, AutoGPT), tool use (LangChain agents), and memory. - Demonstrate technical expertise in architecting and implementing Agentic AI workflows, encompassing Business Architecture and Agentic AI Technical Architecture. Transformation Design: - Devise strategies that incorporate autonomous AI agents into various business functions like customer support, HR, finance ops, and sales intelligence. - Suggest organizational redesigns that mirror the future workforce comprising a blend of agents and humans. Human Capital Strategy: - Offer guidance to HR and L&D leaders on restructuring redundant roles through skill gap analysis and AI-driven upskilling paths. - Define AI-readiness profiles and role evolution matrices for different enterprise job families. Thought Leadership & Enablement: - Publish insights and contribute to the firm's perspective on agentic systems within enterprise transformation. Required Qualifications: - Hold a PhD in Artificial Intelligence / Organizational AI / Multi-Agent Systems, with a focus on Agentic AI systems, generative AI applications, and workforce redesign. - Graduated from a prestigious institution like IISc Bangalore, IITs, or ISB. - Possess a strong foundation in LLMs, autonomous agents, agent frameworks, and enterprise AI applications, along with exceptional analytical, stakeholder management, and executive communication skills. Preferred Skills: - Previous consulting experience in enterprise AI or transformation, whether through internships or full-time roles. - Hands-on experience in designing or deploying AI agents in practical scenarios. - Familiarity with enterprise platforms like Salesforce, Snowflake, and their potential for AI integration.,
The position is based at Altimetrik with base locations in Bangalore, Chennai, Pune, Jaipur, Hyderabad, Gurugram. The ideal candidate should be able to join immediately or within 10 days. As a Machine Learning Engineer, your primary responsibility will be to design and implement ML solutions while architecting scalable and efficient systems. You should be proficient in Machine Learning Algorithms, Data Engineering, ETL/ELT processes, data cleaning, preprocessing, EDA, feature engineering, data splitting, and encoding. Additionally, you should have experience in MLOps, including model versioning, training, experimenting, deployment, and monitoring using tools such as Python, Pandas, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Matplotlib, R, Scala, Java, Git, DVC, MLFlow, Kubernetes, Kubeflow, Docker, Containers, CI/CD deployments, Apache Airflow, Databricks, Snowflake, Salesforce, SAP, AWS/Azure/GCP Data Cloud Platforms, AWS SageMaker, Google AI Platform, Azure Machine Learning, model design and optimization, LLMs models (OpenAI, BERT, LLaMA, Gemini, etc.), RDBMS, NoSQL databases, Vector DB, RAG Pipelines, AI Agent Frameworks, AI agent authentication, deployment, AI security and compliance, and Prompt Engineering. Your secondary skills should include cloud computing, data engineering, and DevOps. You will be responsible for designing and developing AI/ML models and algorithms. Collaboration with data scientists and engineers to ensure the scalability and performance of AI/ML systems will be a key part of your role. To be considered for this position, you should have 12-15 years of experience in AI/ML development, strong expertise in AI/ML frameworks and tools, and excellent problem-solving and technical skills.,
Experience - 5 to 10 years Notice Period - Immediate to 30 days Location - Bangalore, Pune, Chennai, Hyderabad, Jaipur, Gurgaon Skillset required: * 5+ years of experience in a DevOps, Platform Engineering, or SRE role. * Proven expertise with Jenkins for building robust and secure CI/CD pipelines. * Strong hands-on experience with Kubernetes, preferably AWS EKS. * Deep understanding of Helm for managing Kubernetes deployments. * Proficient with scripting languages (e.g., Bash, Python, Groovy) and version control (e.g., Git). * Familiarity with infrastructure as code tools (e.g., Terraform, CloudFormation). * Solid understanding of monitoring, logging, and alerting practices (e.g., Prometheus, Grafana, ELK, Datadog). * Experience working in Agile environments with cross-functional teams.
The ideal candidate for this position should have 6 to 10 years of experience in Python test automation development. You should be proficient in Python programming for embedded firmware testing, which includes knowledge of embedded firmware features and communication protocols. It is essential to have a strong understanding of the PyTest framework. Experience with Real-Time Operating Systems (RTOS) like Zephyr or similar is preferred. In addition, you should have a solid understanding of tools such as Jira, Confluence, and overall Quality Assurance (QA) processes. Any experience with Linux platforms would be considered a plus. The job is located in Magarpatta, Pune, and requires working from the office for 5 days a week. The ideal candidate should be available to join immediately to within 15 days" notice period.,
As a Backend Cloud Developer specializing in TypeScript and AWS Serverless, you will be responsible for designing and developing backend services using TypeScript on AWS Lambda. Your key responsibilities will include building and managing serverless applications using AWS SAM to ensure high performance and availability of services. To excel in this role, you should possess a strong hands-on experience with TypeScript and Node.js, along with expertise in AWS Lambda and AWS SAM. A good understanding of various AWS services such as DynamoDB, SQS, and API Gateway is essential. Prior experience working with AWS Serverless Architecture is highly desirable, and familiarity with Python is considered a good-to-have skill. This position is based in multiple locations including Bangalore, Hyderabad, Chennai, Pune, Gurgaon, and Jaipur. The ideal candidate should have 5 to 10 years of relevant experience and be able to join the team on an immediate to 15 days notice.,