Docusign Developer

IBM Infosphere DataStage Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

 IIAD / SAD / LAD Artificial Intelligence Engineer

F&B Sales Engineer

Manager - Regional Product development

Account Manager

Senior DevOps Engineer

Application Architect

Responsibilities: <ul><li>Design, develop, and maintain integrations with DocuSign CLM+ and eSignature APIs.</li><li>Implement and customize contract lifecycle management workflows.</li><li>Develop robust backend components using Java and C# to support business logic and integrations.</li><li>Work with XML and XSLT for document transformations and data interchange.</li><li>Build and manage stored procedures, packages, and triggers using Oracle PL/SQL.</li><li>Utilize Eclipse for Java development and Visual Studio for C# development.</li><li>Configure and support CI/CD pipelines using Azure DevOps.</li><li>Collaborate closely with business analysts, architects, QA, and infrastructure teams.</li><li>Troubleshoot and resolve integration and application issues across environments.</li><li>Create and maintain technical documentation and contribute to best practices.</li></ul> Requirements: <ul><li>8+ years of experience in enterprise application development.</li><li>Proficiency with DocuSign CLM+ (contract templates, workflow design, API integration).</li><li>Strong experience with DocuSign eSignature API and embedded signing flows.</li><li>Solid programming skills in Java and C#.</li><li>Expertise in XML and XSLT for document parsing and transformation.</li><li>Strong knowledge of Oracle Database and PL/SQL development.</li><li>Experience using Eclipse IDE and Visual Studio for software development.</li><li>Hands-on experience with Azure DevOps for version control, CI/CD pipelines, and environment management.</li><li>Strong analytical, communication, and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement ETL processes using IBM InfoSphere DataStage to extract data from various source systems, transform it according to business rules, and load it into target data warehouses and data marts.&nbsp;&nbsp;</li><li>Develop and maintain DataStage jobs, sequences, and workflows, ensuring optimal performance and scalability.</li><li>Troubleshoot and resolve data integration issues, working closely with data analysts and other stakeholders.</li><li>Write and execute complex SQL queries to analyze data, profile data sources, and validate ETL processes.</li><li>Collaborate with business analysts and data architects to understand data requirements and translate them into technical specifications.&nbsp;&nbsp;</li><li>Participate in the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and documentation.&nbsp;&nbsp;</li><li>Ensure adherence to data governance policies and standards.</li><li>Monitor ETL processes and proactively identify and address potential performance bottlenecks.</li><li>Contribute to the development and maintenance of technical documentation, including design specifications, mapping documents, and operational procedures.</li></ul> Requirements: <ul><li>Minimum of 3 to 5 years of hands-on experience in designing, developing, and implementing ETL solutions using IBM InfoSphere DataStage.</li><li>Strong understanding of ETL concepts, methodologies, and best practices.</li><li>Proficiency in writing complex SQL queries and working with relational databases, preferably Oracle.</li><li>Experience with data modeling concepts (e.g., dimensional modeling, star schema, snowflake schema).</li><li>Familiarity with Linux operating systems and basic Linux commands is a plus.</li><li>Exposure to OBIEE (Oracle Business Intelligence Enterprise Edition) or other business intelligence tools is a plus.</li><li>Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Excellent analytical skills and technical skills, with a strong attention to detail and problem-solving abilities.</li><li>Bachelors degree in Computer Science or equivalent in education and work experience.</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Region coverage South India (Andhra Pradesh / Telangana /Karnataka / Tamil Nadu / Kerala).&nbsp;</li><li>Conduct market research to identify potential customers in the F&amp;B&amp;S Sector in South India.</li><li>Develop and implement targeted marketing strategies to reach potential customers in these sectors.</li><li>Key account management including End Users, OEMs &amp; System Integrators</li><li>Build long-term customer business relations right from the concept phase and ensure product standardization at customer sites.</li><li>Build and maintain relationships with existing customers in these sectors, identifying opportunities for cross-selling and upselling.</li><li>Attend industry events and exhibitions to showcase company products and engage with potential customers.</li><li>Provide technical expertise and assistance to customers, helping them to select the most suitable equipment for their specific applications in these sectors.</li><li>Act as the customers advocate and ensure their technical needs are met.&nbsp;</li><li>Work closely with the company product development team to identify and develop new products that meet the specific needs of the PI - F&amp;B&amp;S in India.</li><li>Produce and maintain detailed documentation on all customer interactions, including project timelines, equipment specifications, and budget constraints.</li><li>Provide ongoing technical support and guidance to other departments within the company as required to ensure that all customers receive the highest level of service and support.</li><li>Provide high-quality technical support to prospects and customers during pre- and post-sales situations.&nbsp;</li><li>Understand and solve challenging application problems by recommending appropriate company solutions.&nbsp;</li><li>Update records in CRM interface for opportunity pipeline, appointments, lead and present business analytical data through CRM&nbsp;</li></ul> Requirements:﻿ <ul><li>Hold relevant Diploma Mechanical / Bachelor of Engineering, Qualifications and a strong business background.</li><li>Preferably have at least 10 -15 years of experience in the Fluid Handling Industry.&nbsp;</li><li>Possess excellent written and spoken English communication skills.</li></ul>

Responsibilities: <ul><li>Mapping the current universe of regional products.</li><li>Range-planning for regional products: Identifying the gaps in the current universe, based on customer, community understanding as well as competitive indexing.</li><li>Accordingly, planning for product introduction for ensuring that these product gaps are filled.</li><li>Collaborating with the regional vendors to ensure the development of products to fill the product gap happens on a regular &amp; timely basis.</li><li>Wherever required, work closely with the Responsible Sourcing teams for the timely onboarding on relevant and capable vendor partners.</li><li>Review of product performance and decision making on product- continuation.</li><li>Engaging closely with the Retail stores for driving decisions on range expansion/discontinuation.</li><li>To introduce the right regional products by generating an in-depth understanding of cultural, ritualistic and community- specific requirements for jewelry and by undertaking extensive indexing of relevant competition.</li><li>On this basis to work closely with the Cluster management and the regional teams for determining the appropriate sales plan and the supporting assortment plans.</li><li>This role will also be responsible for identifying regionally relevant products or categories that can be imbued with Client signature and promoted as such.</li><li>As a part of the WiMI programme, this role will also work closely with the regional DEC and the Cluster management teams on the development of regionally relevant, marketed collections aligned to regional marketing calendar.&nbsp;</li></ul> Requirements: Relevant Experience: <ul><li>10 -15 years with experience in Sourcing or Product development or Design or Merchandising. functions with National or Regional jewelry brands.</li><li>Prior work in the jewelry sector and a thorough understanding of regional nuances is a must.</li><li>Category management experience.&nbsp;</li><li>Business acumen.&nbsp;</li><li>Analytical ability.</li><li>Vendor management experience.</li></ul>

Responsibilities: <ul><li>Account Manager for identified BFSI accounts.</li><li>Manage all revenue streams from these Accounts by collaborating with cross functional teams and extended teams</li><li>Build strong relationships with the client at all management levels, including CXOs. You should be able to create strong business relations between company and the account partners at all levels</li><li>Develop a long term 1-3 year Account / Business Plan in collaboration with cross functional teams to align with the customers long term growth, innovation plans and transformational business opportunities.</li><li>Drive the execution of a 12 month Account / Business plan to meet set milestones and goals. Identify and close transformational opportunities in the account through strong relationships with key partners and executive decision makers to improve companys wallet share.</li><li>Develop &amp; articulate sales strategies for all major opportunities and understand the buying cycle for the opportunities being pursued.</li><li>Business reporting (monthly forecast, weekly commit, pipeline development, MEDDPICC).</li><li>Ensures the desired position and market share, as set in the objectives, are achieved through the use of consistent messages in every aspect of the Account relationship and development on all appropriate levels</li><li>Work with the customer to develop an innovation strategy to help save costs, deliver value to their business and gain a competitive advantage. Act as primary focal point for the Account.</li><li>Focus on value-based selling and creating business relevance for technology solutions</li></ul> Requirements: <ul><li>Ideally 12+ Years of Sales Experience in the technology space preferably in BFSI.</li><li>Experience in selling to large Enterprise accounts is a must.</li><li>Strong time management, organizational, and negotiation skills.</li><li>Sound business decision making ability.</li><li>Ability to influence and engage senior customer executives (CX level) and business decision makers.</li><li>Awareness of company product, service and solutions, processes etc. an added advantage.</li></ul>

Responsibilities: Cloud Infrastructure Design and Deployment: <ul><li>Architect, design, and implement scalable, reliable, and secure solutions on GCP.</li><li>Deploy and manage GCP services in both development and production environments, ensuring seamless integration with existing infrastructure.</li><li>Implement and manage core services such as BigQuery, Datafusion, Cloud Composer (Airflow), Cloud Storage, Data Fusion, Compute Engine, App Engine, Cloud Functions and more.</li></ul> Infrastructure as Code (IaC) and Automation: <ul><li>Develop and maintain infrastructure as code using Terraform or CLI scripts to automate provisioning and configuration of GCP resources.</li><li>Establish and document best practices for IaC to ensure consistent and efficient deployments across environments.</li></ul> DevOps and CI/CD Pipeline Development: <ul><li>Create and manage DevOps pipelines for automated build, test, and release management, integrating with tools such as Jenkins, GitLab CI/CD, or equivalent.</li><li>Work with development and operations teams to optimize deployment workflows, manage application dependencies, and improve delivery speed.</li></ul> Security and IAM Management: <ul><li>Handle user and service account management in Google Cloud IAM.</li><li>Set up and manage Secrets Manager and Cloud Key Management for secure storage of credentials and sensitive information.</li><li>Implement network and data security best practices to ensure compliance and security of cloud resources.</li></ul> Performance Monitoring and Optimization: <ul><li>Monitoring &amp; Security: Set up observability tools like Prometheus, Grafana, and integrate security tools (e.g., SonarQube, Trivy).</li><li>Networking &amp; Storage: Configure DNS, networking, and persistent storage solutions in Kubernetes.</li><li>Set up monitoring and logging (e.g., Cloud Monitoring, Cloud Logging, Error Reporting) to ensure systems perform optimally.</li><li>Troubleshoot and resolve issues related to cloud services and infrastructure as they arise.</li></ul> Workflow Orchestration: <ul><li>Orchestrate complex workflows using Argo Workflow Engine.</li><li>Containerization: Work extensively with Docker for containerization and image management.</li><li>Optimization: Troubleshoot and optimize containerized applications for performance and security.</li></ul> Requirements:﻿ <ul><li>Bachelors or masters degree in computer science, Information Technology, or a similar field</li><li>Must have 10 + years of extensive experience in designing, implementing, and maintaining applications on GCP and OpenShift</li><li>Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring</li><li>Solid understanding of cloud security best practices and experience in implementing security controls in GCP</li><li>Thorough understanding of cloud architecture principles and best practices</li><li>Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles</li><li>Proven leadership skills and the ability to mentor and guide a technical team</li></ul>

Responsibilities: <ul><li>Design systems that and are secure, high-performing, scalable, highly available, and resilient, aligning with business requirements.</li><li>Influences the development and implementation of Information Technology (I.T.) strategy, initiatives, and governing policies.</li><li>Assembles detailed reviews of the enterprise and documents capabilities and conceives approaches to aligning technical solutions with business needs.</li><li>Assists in defining the direction for projects and solution architecture.</li><li>Supports I.T. leadership by planning and championing the execution of broad initiatives aimed at delivering value to internal and external stakeholders.</li><li>Leverages data, technical, and business knowledge to drive the development of capability frameworks at portfolio and enterprise levels.</li><li>Supports project life cycle with emphasis on the initiation, feasibility, and analysis phases.</li><li>Proficient in conveying complex concepts through both spoken and written communication.</li></ul> Requirements:﻿ <ul><li>13+ years of IT experience</li><li>3+ years application architecture experience</li><li>Experience in defining new architectures and ability to drive an independent project from an architectural stand point</li><li>Experience with developing software solutions &amp; web services</li><li>Understanding of Information Security practices, database design principles, cloud base solutions, company systems &amp; business capabilities</li><li>Experience in DevOps and Agile</li><li>Strong negotiation skills</li><li>Strong written and verbal communication skills</li><li>Bachelors Degree or international equivalent in Computer Science or related field - Preferred</li></ul>

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17 chennai Jobs found

Docusign Developer

IBM Infosphere DataStage Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

F&B Sales Engineer

Manager - Regional Product development

Account Manager

Senior DevOps Engineer

Application Architect

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17 chennai Jobs found

Docusign Developer

IBM Infosphere DataStage Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

F&B Sales Engineer

Manager - Regional Product development

Account Manager

Senior DevOps Engineer

Application Architect

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.