Responsibilities Account management Function as onsite leader for portfolio of transformational projects across accounts or within an account Accountable for interfacing with both business and IT function(s) in multistakeholder environment. Strategic Thinking & Planning Develop and maintain an account growth plan or roadmap. Track performance against KPIs (e.g., revenue growth, CSAT, NPS). Align with client s long-term roadmap. Coordination and Governance Work closely with delivery, pre-sales, technical architects, and marketing. Along with the offshore delivery partner, should be responsible for monitoring budgets, billing, and renewals. Periodic review of monthly / quarterly targets for revenue. Govern the projects to achieving milestones, and take timely recourse where required Consultative Selling Recommend relevant solutions, upgrades, or services. Identifying new opportunities, expanding relationships, and increasing revenue Frame conversations around value and outcome for upsell and cross sell. Perform SWOT analysis or create account heatmaps. Classify leads using BANT (Budget, Authority, Need, Timeline) or similar frameworks. Necessary skill sets Subject matter understanding and business acumen Ability to rapidly ramp-up on the understanding of Account and functional jargon at a sufficient level for communication and stakeholder management Ability to map business problems to IT solutions. Ability to leverage industry learnings and domain depth from project and apply this knowledge to other accounts / pre-sales efforts across the company Client Relationship management Multi-level client relationship management. Understand the client s business goals and how IT solutions can support them. Account leadership Understanding of client unique context and constraints, and ensure appropriate project execution design Ability to decipher client s org structure, decision-makers, and budget cycles. Requirements and Qualifications Bachelor s degree in sales, communications, or related field. 10+ years of experience in account management Proven leadership experience in a managerial role Demonstrated participation in large-scale projects Experience in the offshore services industry is essential. Knowledge of life sciences industry is a plus Skills in account strategy and planning Expertise in client relationship management Proficiency in business strategy development Work Location: New Jersey , US
Responsibilities: Implemented Big Data platform on Cloudera Hadoop ecosystem, good knowledge of configuring and optimizing Cloudera. Enhance and maintain data warehouse implementation. Implement analytic solutions and multi-tenant data access patterns. Design and implement scalable, secure Azure infrastructure to host our big data analytics platform. Provide knowledge of network topology, security groups, and connectivity patterns across multiple Azure regions. Required Skills and Experience: Develop and implement data governance strategies using Apache Ranger/DBT/ZooKeeper. Red hat open shift administration. Establish and lead a multi-tiered (L1/L2/L3) technical support team for our big data analytics p latform consisting of infrastructure and application support engineers. Develop comprehensive support processes, procedures, and documentation. Create and maintain standard operating procedures (SOPs) for common issues and resolutions. Design and implement incident management workflows and escalation paths. Qualifications: 7+ years of industry experience with Support/Admin. Cloudera Must have configured, administered and managed cloudera cluster on production. Administration for other big-data tools like Kafka, Nifi, trino, dbt. Experience on Azure. Work Location: Gurgaon (Hybrid). The candidate will have the flexibility to work on client location.
Responsibilities Account management Function as onsite leader for portfolio of transformational projects across accounts or within an account Accountable for interfacing with both business and IT function(s) in multistakeholder environment. Strategic Thinking & Planning Develop and maintain an account growth plan or roadmap. Track performance against KPIs (e.g., revenue growth, CSAT, NPS). Align with client s long-term roadmap. Coordination and Governance Work closely with delivery, pre-sales, technical architects, and marketing. Along with the offshore delivery partner, should be responsible for monitoring budgets, billing, and renewals. Periodic review of monthly / quarterly targets for revenue. Govern the projects to achieving milestones, and take timely recourse where required Consultative Selling Recommend relevant solutions, upgrades, or services. Identifying new opportunities, expanding relationships, and increasing revenue Frame conversations around value and outcome for upsell and cross sell. Perform SWOT analysis or create account heatmaps. Classify leads using BANT (Budget, Authority, Need, Timeline) or similar frameworks. Necessary skill sets Subject matter understanding and business acumen Ability to rapidly ramp-up on the understanding of Account and functional jargon at a sufficient level for communication and stakeholder management Ability to map business problems to IT solutions. Ability to leverage industry learnings and domain depth from project and apply this knowledge to other accounts / pre-sales efforts across the company Client Relationship management Multi-level client relationship management. Understand the client s business goals and how IT solutions can support them. Account leadership Understanding of client unique context and constraints, and ensure appropriate project execution design Ability to decipher client s org structure, decision-makers, and budget cycles. Requirements and Qualifications Bachelor s degree in sales, communications, or related field. 10+ years of experience in account management Proven leadership experience in a managerial role Demonstrated participation in large-scale projects Experience in the offshore services industry is essential. Knowledge of life sciences industry is a plus Skills in account strategy and planning Expertise in client relationship management Proficiency in business strategy development Work Location: New Jersey , US
Summary: Looking for Experienced Databricks Resident consultants having prior working experience on Databricks Data Engineering. The candidate will be responsible for setting up Databricks Workspaces, creating Delta Lakes, Writing declarative ingestion pipelines & utilizing databricks data quality frameworks (constraints) to delivery high quality Data Pipelines. The role will be customer facing and will require unique problem solving, stakeholder management & thought leadership qualities. Roles and Responsibility: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices. Should have worked on atleast 2 Datawarehouse Migration engagements in Past (Preferably one on Databricks, but can be non databricks migration also). Should have prior experience of Dimensional Data Modelling on tools like Erwin Modeller etc. 5+ years of hands-on experience in data engineering, with at least 2+ years in Databricks Architect and Apache Spark. Proficient in Cluster Management & Workspace Organisation. Proficient in Delta Lake Framework, Databricks Workspaces and Unity Catalog. Proficient in writing ETL Pipelines on Databricks by using Delta Live Tables for Streaming , Batch & Incremental Batch ingestion features. Comfortable architecting & writing code in either Python and SQL. Should have excellent understanding of Apache Spark Job Performance Tuning, Partitions Optimization etc. Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals. Familiarity with CI/CD for production deployments. Working knowledge of MLOps. Design and deployment of performant end-to-end data architectures. Experience with technical project delivery managing scope and timelines. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Certifications: Databricks Certified Associate Developer for Apache Spark. Databricks Certified Professional Data Engineer. Cloud Certifications (AWS Certified Solutions Architect, Azure Solutions Architect Expert).
Job Summary: We are seeking a highly experienced Data Scientist with a strong foundation in ML/DL, experience in Computer Vision, with affinity towards upcoming technologies like Generative AI (GenAI) and Large Language Models (LLMs). The ideal candidate will lead and deploy cutting-edge AI solutions, bridging the gap between intelligent models and scalable backend architectures. Key Responsibilities: Design, develop, and deploy advanced Machine Learning and Deep Learning models for business-critical use cases. Build and optimize Computer Vision pipelines using models like YOLO, EfficientNet, or Transformer-based vision architectures. Integrate AI models into scalable backend services using Django, Flask, or FastAPI. Build robust RESTful APIs and manage data pipelines for AI workflows. Collaborate closely with frontend/backend engineers to bring AI features to production. Required Qualifications: Bachelor s/Master s degree in Computer Science, Artificial Intelligence, Data Science, or related fields. 8+ years of experience in building and deploying ML/DL models (time series, NLP, etc.). Proven expertise in Computer Vision (e.g., segmentation, detection, video analysis). Proficiency in Python, with frameworks like PyTorch, TensorFlow, OpenCV, and Hugging Face. Solid experience in backend frameworks: Django, Flask, or FastAPI, and building APIs for AI model inference. Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure). Exposure to MLOps tools and concepts (e.g., MLflow, Weights & Biases, CI/CD pipelines). Preferred Skills: Knowledge of LLMs (e.g., GPT, LLaMA, Mistral), agentic AI frameworks such as LangChain, AutoGPT is a plus.
Responsibilities Work with members of the Navikenz/client teams building highly scalable distributed solutions that enable positive user experiences and measurable business growth Collaborate with/contribute to a cross-functional team including product and design as part of solution realization Collaborate with/Contribute to the team's planning/design/implementation activities as part of solution realization Develop new features and infrastructure development in support of rapidly emerging business and project requirements Ensure application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design Design and implement scalable web services, applications, and APIs Develop and maintain internal software tools, accelerators, platforms Support, troubleshoot and debug software in production Identify bottlenecks, and improve continuous software performance, reliability, and overall quality Work with agile development methodologies, adhering to best practices and pursuing continued learning and improvement opportunities Participate in all aspects of agile software development including design, implementation, and deployment Create, maintain & improve design/technical documentation, manuals, how-to guides, etc. Qualifications: Experience: 5 years of hands-on experience in Python development. Frameworks: Extensive experience with Flask or FastAPI for developing RESTful services. Familiarity with Django is a plus. Cloud: Familiarity with anyone of the cloud platforms such as AWS, Azure, or Google Cloud. Front-end: Proven experience with front-end frameworks such as AngularJS or ReactJS. Programming: Strong proficiency in object-oriented and functional programming. Design Principles: In-depth knowledge of SOLID principles and design patterns. Databases: Experience with SQL databases such as PostgreSQL, MySQL. Full Stack Development: Proven experience in both front-end and back-end development. Technical Skills: Hands-on coding expertise with a focus on quality and performance. Collaboration: Strong ability to work collaboratively with cross-functional teams. Preferred Skills: Experience or knowledge on AI/ML tools. Knowledge of CI/CD pipelines and DevOps practices. Understanding of database design and management (SQL). Work Location: Bangalore/Noida (Hybrid). The candidate will have the flexibility to work hybrid with travel to a client location, if required.
Job Summary: We re looking for an experienced Senior DevOps Engineer who loves working with Kubernetes and AI-driven applications. In this role, you ll be responsible for designing, implementing, and maintaining scalable cloud infrastructure while supporting MLOps pipelines for AI workloads. What You ll Be Doing: Building Scalable Infrastructure: You ll design, implement, and maintain cloud infrastructure using Kubernetes to handle AI and non-AI workloads efficiently. Developing CI/CD & MLOps Pipelines: Help us automate AI/ML workflows using tools like Kubeflow, MLflow, or Argo Workflows, ensuring seamless deployment and monitoring of AI models. Optimizing AI Model Deployments: Work with ML engineers to fine-tune LLM models, AI-driven applications, and containerized environments for smooth operation. Monitoring & Performance Tuning: Keep an eye on Kubernetes clusters and AI workloads, using tools like Prometheus, Grafana, and Loki to ensure high availability and performance. Automating Everything: Whether it s infrastructure provisioning (Terraform, Helm) or Kubernetes security best practices, you ll help enforce efficiency and compliance. Staying Ahead of the Curve: You ll have the opportunity to explore and implement emerging AI infrastructure trends, including KServe, Ray, and Triton Inference Server. What We re Looking For: 8+ years of experience in DevOps, SRE, or Platform Engineering role, with expertise in Kubernetes and cloud-native DevOps Strong knowledge of Kubernetes fundamentals (deployments, services, ingress, storage, GPU scheduling, multi-cluster management). Proficiency in scripting & automation with Python, Bash, or Go, particularly for AI-related workflows. Hands-on experience with AWS, Azure, or GCP, especially in Kubernetes-based AI/ML infrastructure (e.g., Amazon SageMaker, GKE with AI, Azure ML). Hands-on experience with model deployment frameworks (NVIDIA Triton, vLLM. TGI etc.) Experience with Distributed computing, multi-GPU training on kubernetes and on-prem GPU clusters. Experience managing resource allocation and autoscaling for large training/inference workloads. (KEDA, HPA etc.) Experience with CI/CD & MLOps tools such as Jenkins, Argo CD, Kubeflow, MLflow, or Tekton. Familiarity with GenAI model deployment, including fine-tuning, inference optimization, and A/B testing. Hands-on experience with managed ML services (AWS bedrock, Vertext AI models etc.) Strong problem-solving skills and a mindset of automating repetitive tasks. Excellent communication skills to collaborate with ML engineers, data scientists, and software teams. Bonus Points If You Have: Experience with LLMOps (Large Language Model Operations) and deploying LLM-based applications at scale. Knowledge of Vector Databases (FAISS, Weaviate, Qdrant) for AI-driven applications.
Responsibility: Design, develop, and maintain automated test scripts for web, mobile, and API testing. Build and enhance test automation frameworks using industry-standard tools. Ensure test coverage and maintain regression test suites. Identify, document, and track defects; assist in root-cause analysis. Participate in sprint planning, reviews, and daily stand-ups to align automation with project goals. Requirements: Strong programming/scripting skills in Java, Python, or JavaScript Experience with test automation tools such as Selenium, Cypress, Playwright, Appium, TestNG, JUnit. Solid understanding of API testing (e.g., Postman, RestAssured) Knowledge of version control (Git) and defect tracking tools (Jira, TestRail, Zephyr) Nice to Have: Collaborate with development and QA teams to integrate automation into CI/CD pipelines. Familiarity with containerization ( Docker, Kubernetes )
We are seeking a skilled and experienced consulting project manager to join our fast growing and dynamic team. The role will provide high visibility to the senior management of our clients. The ideal candidate will possess excellent problem-solving skills, leadership and team management skills, and exceptional communication skills. You will be responsible for leading delivery of client engagements, leading teams, conducting research, managing client relationships, and supporting the pre-sales team. Responsibilities: Conduct in-depth research and analysis on industry trends, market dynamics, and competitor landscapes to support client engagements. Lead development of client deliverables, including presentations, reports, and strategic recommendations. Gather and analyse qualitative and quantitative data to derive meaningful insights and recommendations. Collaborate with cross-functional teams to identify and address client needs and challenges. Project management activities, including managing teams, timeline management, milestone tracking, and client communication. Participate in client meetings, workshops, and presentations, providing valuable inputs and assistance as needed. Contribute to the continuous improvement of internal processes, methodologies, and tools. Manage teams of business analysts and junior consultants. Contribute to the pre-sales process by assisting in development of sales proposals. Requirements: Master s degree in Business Administration, Economics, Management, or a related field. Previous experience in client-facing business, consulting, strategy, or related fields. Previous experience delivering solutions and working with clients in the pharmaceuticals, manufacturing or BFSI industries will be a plus. Previous experience in leading teams to deliver solutions. Strong analytical and problem-solving skills, with the ability to gather, interpret, and analyse complex data sets. Excellent written and verbal communication skills, with the ability to articulate ideas and present findings effectively. Proficiency in Microsoft Office suite (Word, Excel, PowerPoint) and data analysis tools. Ability to work collaboratively in a team environment, as well as independently with minimal supervision. Willingness to travel occasionally for client engagements, as needed. Work Location: The candidate should be based out of Delhi NCR or Bangalore or be willing to relocate. The role will involve working from office at least two days in a week and may involve occasional travel to client location.
About the role Engineering + MBA Graduate with 8+ years of experience as a software business analyst/ COTS functional consultant/ business process consultant for US pharmaceutical industry Should have worked in the role of a business analyst, business process consultant or functional consultant in at least 2 end to end large software implementation (excluding and AMS/support roles) or process consulting exercises for Pharma Clients Experienced in direct customer interactions (with business stakeholders) for project delivery or consulting Experience of working with multiple stake holders within pharma organizations will be preferred Additional experience in high-level use case discovery and other pre-sales activities will be helpful Motivated self-starter with the ability to learn and adapt, expertise and passion for the domain Preferred skills (any of the below) Understanding, questioning & validating client business requirements and coming out with improvement options/alternative solutions Excellent documentation skills with hands-on experience of drafting various client artifacts like BRD, Process flows, FRD, Wireframes, Prototype Doc, Test cases, User stories, Epics etc. Understanding of AI/ML solutions usage in US Pharma industry Understanding of the solution landscape in US Pharma Understanding of pharma business processes (Sales / service / marketing / Mfg / Supply Chain/Procurement etc.) and associated system workflows Excellent verbal & written communication skills Adept at conducting solution demonstrations Well versed with Power Point, Word, Visio Requirement: Projects Delivery Play the BA role in discovery, POC and implementation of AI/ML solutions Produce project definition/project initiation document clearly defining scope and project objective Document detailed client requirements and process flows Define test cases Support user acceptance test Awareness about project risks, issues, assumptions and dependencies & change control processes especially in relation to requirements documentation Effective stakeholder engagement to manage requirements & conflicts Analyze & presenting options and recommendations Support Account Development Create the domain understanding and support in building learning and training documents related to the project domain Develop and maintain relationship with client stakeholders beyond and post the specific needs of the project and identify new opportunities Practice Development Independently own some practice workstreams to deliver the planned services collaterals, frameworks etc. Coach, mentor, train & guide junior resources Support offerings/prospect presentations/proposals including presentation deck, tools/frameworks/templates Demo, POCs, Workshop with prospects, customers and partners Support business case creation Functional scoping of complex RFPs, RFIs & opportunities SoW creation Support new use case discovery and maintain knowledge repository for the Pharma CoE Establishing thought leadership by putting consistent effort to develop innovative AI applications, establishing competitive advantage, active contribution in social media through blogs, webinars, white papers etc. Company Growth Own initiatives beyond practice that are run at a company level Present learnings in company sessions and participate actively in cross-practice sessions for offerings, knowledge sharing etc.
About the role: The ideal candidate should have 6 to 10 years of experience working as a Business Analyst, with more than 3 years of these focused on supply chain function. This role will involve working closely with clients and internal teams to understand business needs, gather requirements for a solution, analyse processes, and supporting testing and implementation of solutions that drive success. Previous experience in the life sciences industry is a plus. Responsibilities: Collaborate with clients and stakeholders to gather and document business requirements. Analyse business processes and workflows to identify areas for improvement. Develop and maintain detailed business requirements documents, process maps, and data models. Work with cross-functional teams, including developers, project managers, and quality assurance, to ensure solutions meet business needs. Assist in the creation of test plans and test cases; participate in user acceptance testing (UAT). Provide ongoing support to clients and internal teams during project implementation and post-launch. Communicate effectively with stakeholders to ensure transparency and alignment on project goals. Monitor project progress and provide regular updates to stakeholders. Requirements: Master s or bachelor s degree in business administration, Engineering, Information Technology, or a related field. 6 to 10 years of experience in a business analyst role, with 3 or more years of these focused on supply chain function. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, with the ability to translate technical concepts into business-friendly language. Proficiency in business analysis tools and software (e.g., Microsoft Visio, Jira, Confluence). Familiarity with Agile methodologies and experience working in an Agile environment is a plus. Familiarity with MS PowerPoint and MS Excel. Previous experience working in the life sciences domain is a plus. Work Location: The candidate will have the flexibility to work remotely with occasional travel to an office location or to a client location, when required. Ideally, the candidate will be based out of a metro city such as Delhi NCR, Bangalore.
Responsibilities: Lead the design, development, and implementation of complex full-stack solutions Ensuring adherence to best practices, coding standards, and architectural guidelines. Conduct code reviews, provide constructive feedback, and ensure the delivery of high-quality, maintainable code. Develop responsive and user-friendly front-end interfaces Build robust, high-performance, and scalable backend services using Python with FastAPI. Integrate with various databases, APIs, and third-party services. Troubleshoot and debug complex technical issues across the full stack. Mentor and guide junior and mid-level developers. Collaborate effectively with cross-functional teams including product managers, UI/UX designers, QA engineers, and other stakeholders. Serve as a primary technical point of contact for clients and stakeholders, effectively communicating technical concepts, progress, and challenges. Gather and analyse client requirements, translating them into technical specifications and actionable development plans. Ability to understand Gen AI models and access the same from the application Must Have Skills: Technical Leadership: 5+ years of hands-on software development experience with progression to technical leadership roles Proven experience leading development teams (3-8 developers) and mentoring junior/mid-level engineers Strong architectural decision-making capabilities with ability to design scalable, maintainable systems Experience in code review processes, establishing coding standards, and ensuring technical quality Development and Design: Solid understanding of RESTful API design principles, authentication and authorization mechanisms Knowledge of software design patterns (SOLID principles, Factory, Observer, Strategy etc.,) Experience with cloud platforms (AWS, Azure or GCP) and infrastructure as code Hands-on experience with containerization technologies (Docker) Experience in agile development methodologies and project management Knowledge of machine learning concepts and AI/ML integration in web applications Work Location: Bangalore/Noida (Hybrid).
About the role: This role is ideal for someone who enjoys both the design and development aspects of creating exceptional user experiences and is looking for a position where they can blend creativity with technical skills. Responsibilities UX Design: Conduct user research to understand user needs, behaviors, and pain points. Create wireframes, prototypes, user flows, and high-fidelity visual designs. Develop interaction models, personas, and journey maps to inform design decisions. Conduct usability testing and iterate designs based on user feedback. Collaborate with stakeholders to refine requirements and deliverables Development: Write clean, maintainable code using HTML, CSS, and JavaScript. Develop responsive and accessible web pages and interfaces. Collaborate with back-end developers to integrate front-end components with APIs. Troubleshoot, debug, and optimize user interfaces for performance and cross-browser compatibility. Qualifications: 5-6 years of total experience. Proven experience as a UX Designing with Development. Strong portfolio demonstrating design skills and the ability to create engaging user experiences. Proficiency in design tools such as Sketch, Figma, Adobe XD, or similar. Strong front-end development skills with proficiency in HTML, CSS, and JavaScript. Knowledge of responsive design principles and frameworks (e.g., Bootstrap, Foundation). Understanding of UX research methodologies and the ability to apply them to the design process. Experience with version control systems such as Git. Familiarity with Agile or Scrum development methodologies. Strong problem-solving, communication, and collaboration skills. Work Location: Bangalore/Noida (Hybrid). The candidate will have the flexibility to work hybrid with travel to an office location or to a client location, when required.
Responsibilities: Design, develop, and maintain end-to-end application components frontend UI and backend services. Implement new features, optimize performance, and ensure code quality and maintainability. Build and consume RESTful APIs and integrate with third-party systems. Ensure application scalability, performance, and security best practices. Collaborate with cross-functional teams (product, design, QA) throughout the development lifecycle. Participate in code reviews and maintain clear technical documentation. Qualifications: Bachelors degree in computer science, Software Engineering, or a related field (or equivalent experience). Strong back-end development using Java, Python, or Node.js. Good in front-end development: HTML5, CSS3, JavaScript with React, Angular, or Vue.js. Hands-on experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Solid understanding of microservices, RESTful APIs, and web services. Familiarity with Git, CI/CD pipelines, and DevOps tools. Good to have: Exposure to data engineering practices: ETL pipelines, Kafka, batch/stream processing. Familiarity with data lakes and warehouses (Custom-built using Open-source, Snowflake, etc.). Experience integrating analytics dashboards or visualization components. Understanding of real-time data flow, data pipeline architecture, and basic data modelling.