Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 2+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on what the AI world will be talking about next year , we want to hear from you. Your Role Design and develop multi-agent LLM systems using LangGraph, AutoGen, or CrewAI. Build and deploy MCP servers , LLM gateways , and design Agent-to-Agent collaboration flows. Fine-tune language models for verticals like healthcare, manufacturing, or finance. Architect retrieval-augmented generation (RAG) systems with vector stores like FAISS, Pinecone, or Weaviate. Integrate tools like LangSmith , GuardrailsAI , and knowledge graphs to ensure trust, safety, and observability. Collaborate cross-functionally with product, data science, and engineering teams. What You Bring 2+ years in software development, with strong Python skills. Proven expertise in one or more: LangGraph , AutoGen , CrewAI . Deep understanding of Agent-based AI , LLM orchestration , and RAG pipelines . Experience fine-tuning LLMs and applying prompt engineering and domain adaptation . Familiarity with tools like LangSmith , PromptGuard , or Guardrails frameworks. Bonus If You Have Cloud experience (AWS, Azure, GCP) Familiarity with Docker, Kubernetes Exposure to multi-modal models (LLaMA, Mistral, Falcon) Frontend tech: React, Angular, or Vue CI/CD, MLOps, or LLMOps knowledge Important We’re currently hiring mid-level, senior, and lead professionals with hands-on experience in AI/ML projects . These openings are not for freshers or professionals with less than 2 years of experience — but we are planning something exciting for early-career AI talent soon! Why Join Covasant Work on real-world agentic AI systems ahead of industry trends Collaborative and innovation-first work culture Competitive pay, benefits & performance incentives Hybrid/flexible work setup A chance to lead and influence the next chapter in AI Let’s Connect If this excites you — whether or not you're actively job hunting — don’t miss the chance to explore this game-changing opportunity. Ranjith Reddy – 9703455109 ranjith.palle@covasant.cm Connect with me on LinkedIn – I’d love to stay in touch, even if this isn’t the right time. Apply now or just start a conversation. The future of AI doesn’t wait — and neither should you.
Java Full stack J2EE MICROSERVICES HIBERNATE JAVASCRIPT
Share updated CV to salveen.shaik@covasant.com Job Title: Azure Data Engineer with Databricks Location: Hyderabad (WFO) Experience: 5 8 years Job Type: Full-time Client Industry: [e.g., Healthcare, BFSI, ] Job Level: Senior Engineer / Lead / Architect Role Overview: We are looking for a skilled Azure Data Engineer with expertise in Databricks to join our high-performing data and AI team for a critical client engagement. The ideal candidate will have strong hands-on experience in building scalable data pipelines , data transformation , and real-time data processing using Azure Data Services and Databricks . You will work closely with cross-functional teams including data scientists, architects, business analysts, and client stakeholders to design and implement end-to-end data solutions in a cloud-native environment. Key Responsibilities: Design, develop, and deploy end-to-end data pipelines using Azure Databricks , Azure Data Factory , and Azure Synapse Analytics . Perform data ingestion , data wrangling , and ETL/ELT processes from various structured and unstructured data sources (e.g., APIs, on-prem databases, flat files). Optimize and tune Spark-based jobs and Databricks notebooks for performance and scalability. Implement best practices for CI/CD , code versioning , and testing in a Databricks environment using DevOps pipelines . Design data lake and data warehouse solutions using Delta Lake and Synapse Analytics . Ensure data security , governance , and compliance using Azure-native tools (e.g., Azure Purview , Key Vault , RBAC ). Collaborate with data scientists to enable feature engineering and model training within Databricks. Write efficient SQL and PySpark code for data transformation and analytics. Monitor and maintain existing data pipelines and troubleshoot issues in a production environment. Document technical solutions, architecture diagrams, and data lineage as part of delivery. Mandatory Skills & Technologies: Azure Cloud Services : Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (Gen2), Azure Key Vault, Azure Functions, Azure Monitor Databricks Platform : Delta Lake, Databricks Notebooks, Job Clusters, MLFlow (optional), Unity Catalog Programming Languages : PySpark, SQL, Python Data Pipelines : ETL/ELT pipeline design and orchestration Version Control & DevOps : Git, Azure DevOps, CI/CD pipelines Data Modeling : Star/Snowflake schema, Dimensional modeling Performance Tuning : Spark job optimization, Data partitioning strategies Data Governance & Security : Azure Purview, RBAC, Data Masking Nice to Have: Experience with Kafka , Event Hub , or other real-time streaming platforms Exposure to Power BI or other visualization tools Knowledge of Terraform or ARM templates for infrastructure as code Experience in MLOps and integration with MLFlow for model lifecycle management Certifications (Good to Have): Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer Associate / Professional DP-203: Data Engineering on Microsoft Azure Soft Skills: Strong communication and client interaction skills Analytical thinking and problem-solving Agile mindset with familiarity in Scrum/Kanban Team player with mentoring ability for junior engineers
The Opportunity: Covsant is seeking a highly accomplished and visionary Senior AI/Data Pre-Sales Solution Architect to join our elite team. This is a critical role for an individual who possesses a unique blend of deep technical expertise in Artificial Intelligence and Data, extensive pre-sales experience, and profound domain knowledge within the Healthcare, Life Sciences, or BFSI (Banking, Financial Services, and Insurance) sectors. You will be instrumental in bridging the gap between complex technical capabilities and client business needs, driving the adoption of Covsant's innovative AI and Data solutions. If you are a strategic thinker, a masterful communicator, and a hands-on technologist with a passion for solving real-world business challenges, we encourage you to apply. Key Responsibilities: Solution Evangelism & Discovery: Act as a trusted advisor to prospective clients, understanding their strategic business objectives, pain points, and technical requirements related to AI and Data. Articulate the value proposition of Covsant's AI and Data offerings, demonstrating how they address specific industry challenges and deliver measurable business outcomes. Conduct in-depth discovery sessions, workshops, and technical presentations tailored to various stakeholder levels (C-suite, business users, IT professionals). Technical Solution Design & Architecture: Collaborate with sales, product, and engineering teams to design and architect bespoke AI and Data solutions that align with client needs and Covsant's capabilities. Develop compelling proof-of-concepts (POCs), demonstrations, and prototypes to showcase the power and applicability of our solutions. Provide expert guidance on data strategy, AI model deployment, integration, scalability, and security within the context of the target industry. Pre-Sales Leadership & Bid Management: Lead the technical aspects of the sales cycle from initial engagement through to successful closure. Develop comprehensive technical proposals, statements of work (SOWs), and responses to RFPs/RFIs. Present complex technical information clearly and concisely to both technical and non-technical audiences. Support the sales team in deal qualification, competitive analysis, and objection handling. Market Insight & Thought Leadership: Stay abreast of the latest trends, technologies, and competitive landscape in AI, Data, and your designated industry domain (Healthcare, Life Sciences, or BFSI). Contribute to thought leadership content (whitepapers, webinars, blog posts) and represent Covsant at industry events and conferences. Provide valuable market feedback to product development teams to inform future solution enhancements. Required Qualifications: Experience: 12+ years of progressive experience in technology, with at least 7+ years in a senior pre-sales, solution architecture, or technical consulting role focused on AI and Data. Mandatory: Proven, exceptional and in-depth domain expertise in Telecom or Manufacturing or Healthcare, Life Sciences, or BFSI , demonstrated through a comprehensive understanding of industry-specific regulations, complex data landscapes, core business processes, and key market dynamics. Ability to translate nuanced domain challenges into tangible AI and Data solution opportunities. Technical Acumen: Deep understanding of Artificial Intelligence/Machine Learning concepts, methodologies, and technologies (e.g., NLP, Computer Vision, Predictive Analytics, Generative AI). Strong proficiency in data platforms, data warehousing, data lakes, ETL/ELT processes, and big data technologies (e.g., Spark, Hadoop, Kafka). Experience with cloud platforms (AWS, Azure, GCP) and their respective AI/ML and Data services. Proven experience collaborating with Hyperscaler teams (e.g., Google Cloud, Microsoft Azure and Databricks) teams to co-sell, co-develop, or integrate solutions. Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field. Master's degree or Ph.D. is a strong plus. Soft Skills: Exceptional communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences. Strong analytical and problem-solving abilities, with a keen eye for detail. Proven ability to work independently and collaboratively in a fast-paced, dynamic environment. Demonstrated ability to influence and build strong relationships with clients and internal stakeholders. Preferred Skills (Nice-to-Have): Experience with specific industry-standard software, data models, or regulatory frameworks (e.g., FHIR, HL7 in Healthcare; GxP in Life Sciences; Basel III, GDPR, CCPA in BFSI). Certification in cloud AI/ML services (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer). Experience working with large enterprise clients and complex sales cycles. Why Join Covsant? Be at the forefront of AI and Data innovation, working on impactful projects. Collaborate with a team of brilliant and passionate professionals. Competitive compensation package, including [mention any specific benefits like stock options, comprehensive health, etc.]. Opportunities for continuous learning, professional development, and career growth.
Job Title: AI/ML Engineer Experience: 4 to 10 Years Location: Hyderabad(On-site 5 Days) Employment Type: Full-Time Department: Data Science / Artificial Intelligence / Engineering Job Summary: We are seeking a skilled and innovative AI/ML Engineer with 4 to 10 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions. The ideal candidate will have a strong background in statistics, data science, and software engineering, along with hands-on experience in building scalable ML pipelines and models in real-world applications. Key Responsibilities: Design, build, and deploy scalable ML/AI models to solve complex business problems. Collaborate with data scientists, data engineers, and software developers to integrate models into production environments. Apply supervised and unsupervised learning techniques, deep learning, NLP, and computer vision algorithms. Work with large, complex datasets and perform data cleaning, preprocessing, and feature engineering. Evaluate model performance using appropriate metrics and implement model improvement strategies. Maintain and monitor models in production and retrain as necessary. Stay current with the latest research and trends in AI/ML and apply them when appropriate. Document model design, processes, and performance results clearly for stakeholders Required Skills & Qualifications: 4–10 years of experience in Machine Learning, Deep Learning, or AI engineering roles. Strong programming skills in Python (must-have), and familiarity with libraries like scikit-learn, TensorFlow, PyTorch, Keras, OpenCV, etc. Solid understanding of ML algorithms , model evaluation, and statistical methods. Experience with NLP , computer vision , or recommendation systems is a plus. Proficiency in working with data processing tools (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn). Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment. Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) is a strong advantage. Exposure to Docker/Kubernetes for containerized deployments. Experience working with large-scale datasets and SQL/NoSQL databases. Strong problem-solving skills and ability to work in cross-functional teams. Preferred Qualifications: Master’s or Ph.D. in Computer Science, Data Science, AI/ML, or a related field. Publications, contributions to open-source projects, or participation in ML competitions (e.g., Kaggle) are a plus. Soft Skills: Excellent communication and presentation skills. Ability to explain complex ML concepts to non-technical stakeholders. Collaborative mindset with a strong sense of ownership If you are interested, Kindly share your updated cv along with below details to thirumalesh.desineni@covasant.com Required Details: Full Name: Email ID: Contact Number: Overall Experience: Relevant Experience: No of Org worked: Current Company: Designation: Current CTC: Expected CTC: Notice Period Highest Education: Year of Passing: Current Location: Reason for Change: Regards, Thirumalesh Desineni thirumalesh.desineni@covasant.com
Company Description At Covasant, we make the future of business operations a reality with AI-powered solutions. Our AI-led Services as a Software approach deploys scalable, autonomous solutions, orchestrating business processes and delivering actionable insights. With our expertise in personalization, custom model development, and deep industry knowledge, we craft solutions tailored to your needs, driving tangible business outcomes. Join us in transforming operational excellence into the standard. Job Purpose The Cyber Security Analyst works in the Security Operations Center as a member of the Managed Security Services (MSS) team. The employee will be responsible for creation of procedures, implementation of processes and solutions across internal and client environments. Extensive experience with SIEM tools like MS Sentinel or Splunk is necessary. Duties and responsibilities Primarily working on high/critical security incidents. Proactive monitoring of security incidents and fine tune the SIEM current configuration as per the security incidents. Serve as a primary responder for Managed Security customer systems, taking ownership of client configuration issues and tracking through resolution. Act as a point of escalation for other Analysts and provide guidance and mentoring. Advise best practice on SIEM and Enterprise Security products to both technical and relatively non-technical personnel. Develop and maintain content and reporting. Provide escalation support to Tier 1 for Authorized Support Customers, following processes and interacting appropriately with both customers and partners when required. Perform knowledge transfers to clients regarding security and system configuration awareness. Qualifications UG: Any Graduate - Any Specialization PG: Any Postgraduate - Any Specialization 2-5 years professional experience maintaining SIEM or infrastructure systems in the Information Security field Experience working in a Security Operations Center, Managed Security, or client network environment. Experience with various SIEM security products such as MS Sentinel, Crowdstrike NGSIEM, QRadar, Splunk, etc. Vulnerability management tools like Tenable, Rapid7 etc. and infrastructure components such as proxies, firewalls, IDS/IPS, DLP Understanding of network architecture and implementation is a plus; ideal candidate will have worked with network security analysis. Excellent time management, reporting, and communication skills. Superior IT problem-solving skills. Experience with SIEM content and reporting Desired Qualifications General security knowledge (GIAC, CISSP, CCSE, CISA, HBSS, NSA, CEH, Cisco Security, Security +, or other security certifications). Knowledge of Linux and Windows Operating Systems. An understanding of a wide array of server grade applications such as: DBMS, Exchange, DNS, SMTP, IIS, Apache, SharePoint, Active Directory, Identity Management, Patch Management, LDAP, SQL, and others. Professional experience working with networks and network architecture. LinkediIn : www.linkedin.com/in/mohammad-faiz-a9a980109
Role & responsibilities Key Responsibilities Generate qualified leads through cold calling, email campaigns, and social media outreach. Understand customer requirements and present relevant solutions or products. Build and maintain a healthy sales pipeline by identifying new business opportunities. Schedule meetings/demos for the field sales or business development team. Achieve and exceed monthly/quarterly sales targets. Maintain and update CRM/ATS with accurate sales activity details. Nurture long-term customer relationships to drive repeat business. Collaborate with marketing and business development teams to align sales strategies. Key Skills & Qualifications Bachelors degree in Business, Marketing, or related field (preferred). Proven experience in inside sales, tele-sales, or B2B lead generation. Excellent communication and interpersonal skills. Strong negotiation, persuasion, and objection-handling abilities. Familiarity with CRM tools (HubSpot, Salesforce, Zoho, or similar). Ability to work in a target-driven environment with resilience and persistence. Knowledge of international markets (US/UK/MEA) is an added advantage. Preferred candidate profile
Job Title: .NET DeveloperLocation: HyderabadExperience: 4+ YearsEmployment Type: Full-time Job Overview We are seeking a skilled .NET Developer with 4+ years of hands-on experience in designing, developing, and deploying web applications using the Microsoft .NET framework. The ideal candidate should have strong expertise in C#, ASP.NET, .NET Core, Web API, and SQL Server, along with good problem-solving skills and a passion for delivering high-quality software solutions. Key Responsibilities Design, develop, test, and deploy applications using .NET Framework / .NET Core. Build and maintain RESTful APIs and web services. Work with SQL Server (queries, stored procedures, performance tuning). Collaborate with cross-functional teams including UI/UX, QA, and Product Owners. Participate in code reviews, debugging, and troubleshooting of applications. Ensure application performance, security, and scalability. Follow Agile/Scrum development methodologies. Document technical specifications and maintain coding standards. Required Skills & Qualifications Bachelors degree in Computer Science, IT, or a related field. 4+ years of professional experience in .NET development. Strong knowledge of: C#, ASP.NET MVC, .NET Core Entity Framework / LINQ Web API, RESTful services SQL Server (procedures, triggers, performance optimization) JavaScript, jQuery, HTML5, CSS3 Experience with version control tools (Git/TFS). Familiarity with Agile/Scrum methodology. Strong problem-solving, analytical, and communication skills. Good to Have (Optional) Experience with Azure / AWS Cloud services. Knowledge of Microservices architecture. Exposure to front-end frameworks (Angular / React). Unit testing and CI/CD pipeline experience. Role & responsibilities Preferred candidate profile
Job Title: AI/ML Engineer Experience: 4 to 10 Years Location: Hyderabad(On-site 5 Days) Employment Type: Full-Time Department: Data Science / Artificial Intelligence / Engineering Job Summary: We are seeking a skilled and innovative AI/ML Engineer with 4 to 10 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions. The ideal candidate will have a strong background in statistics, data science, and software engineering, along with hands-on experience in building scalable ML pipelines and models in real-world applications. Key Responsibilities: Design, build, and deploy scalable ML/AI models to solve complex business problems. Collaborate with data scientists, data engineers, and software developers to integrate models into production environments. Apply supervised and unsupervised learning techniques, deep learning, NLP, and computer vision algorithms. Work with large, complex datasets and perform data cleaning, preprocessing, and feature engineering. Evaluate model performance using appropriate metrics and implement model improvement strategies. Maintain and monitor models in production and retrain as necessary. Stay current with the latest research and trends in AI/ML and apply them when appropriate. Document model design, processes, and performance results clearly for stakeholders Required Skills & Qualifications: 4–10 years of experience in Machine Learning, Deep Learning, or AI engineering roles. Strong programming skills in Python (must-have), and familiarity with libraries like scikit-learn, TensorFlow, PyTorch, Keras, OpenCV, etc. Solid understanding of ML algorithms , model evaluation, and statistical methods. Experience with NLP , computer vision , or recommendation systems is a plus. Proficiency in working with data processing tools (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn). Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment. Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) is a strong advantage. Exposure to Docker/Kubernetes for containerized deployments. Experience working with large-scale datasets and SQL/NoSQL databases. Strong problem-solving skills and ability to work in cross-functional teams. Preferred Qualifications: Master’s or Ph.D. in Computer Science, Data Science, AI/ML, or a related field. Publications, contributions to open-source projects, or participation in ML competitions (e.g., Kaggle) are a plus. Soft Skills: Excellent communication and presentation skills. Ability to explain complex ML concepts to non-technical stakeholders. Collaborative mindset with a strong sense of ownership If you are interested, Kindly share your updated cv along with below details to thirumalesh.desineni@covasant.com Required Details: Full Name: Email ID: Contact Number: Overall Experience: Relevant Experience: No of Org worked: Current Company: Designation: Current CTC: Expected CTC: Notice Period Highest Education: Year of Passing: Current Location: Reason for Change: Regards, Thirumalesh Desineni thirumalesh.desineni@covasant.com
Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 4+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on what the AI world will be talking about next year , we want to hear from you. Your Role Design and develop multi-agent LLM systems using LangGraph, AutoGen, or CrewAI. Build and deploy MCP servers , LLM gateways , and design Agent-to-Agent collaboration flows. Fine-tune language models for verticals like healthcare, manufacturing, or finance. Architect retrieval-augmented generation (RAG) systems with vector stores like FAISS, Pinecone, or Weaviate. Integrate tools like LangSmith , GuardrailsAI , and knowledge graphs to ensure trust, safety, and observability. Collaborate cross-functionally with product, data science, and engineering teams. What You Bring 2+ years in software development, with strong Python skills. Proven expertise in one or more: LangGraph , AutoGen , CrewAI . Deep understanding of Agent-based AI , LLM orchestration , and RAG pipelines . Experience fine-tuning LLMs and applying prompt engineering and domain adaptation . Familiarity with tools like LangSmith , PromptGuard , or Guardrails frameworks. Bonus If You Have Cloud experience (AWS, Azure, GCP) Familiarity with Docker, Kubernetes Exposure to multi-modal models (LLaMA, Mistral, Falcon) Frontend tech: React, Angular, or Vue CI/CD, MLOps, or LLMOps knowledge Important Were currently hiring mid-level, senior, and lead professionals with hands-on experience in AI/ML projects . These openings are not for freshers or professionals with less than 2 years of experience but we are planning something exciting for early-career AI talent soon! Why Join Covasant Work on real-world agentic AI systems ahead of industry trends Collaborative and innovation-first work culture Competitive pay, benefits & performance incentives Hybrid/flexible work setup A chance to lead and influence the next chapter in AI Let’s Connect If this excites you — whether or not you're actively job hunting — don’t miss the chance to explore this game-changing opportunity. Ranjith Reddy – 9703455109 ranjith.palle@covasant.cm Connect with me on LinkedIn – I’d love to stay in touch, even if this isn’t the right time. Apply now or just start a conversation. The future of AI doesn’t wait — and neither should you.
Job Description: Python Developer / Data Engineer Talend to Python Migration About the Role We are seeking experienced Python Developers/Data Engineers to join our team for a strategic migration project, moving enterprise ETL workloads from Talend to a modern Python-based ingestion framework on Google Cloud Platform (GCP). You will work closely with architects, platform engineers, and automation teams to design, build, and optimize scalable data pipelines, leveraging Airflow, Cloud Run, Dataproc, and BigQuery. Key Responsibilities 3+ years of experience in Python development, with a focus on data engineering and ETL pipeline design. ETL Migration & Development Analyze existing Talend jobs/modules and design equivalent Python-based ETL workflows. Develop, test, and deploy Python scripts/functions for ingestion, preprocessing, file management, and data loading (SFTP to GCS, file unzip, preprocessing, raw/harmonized table loads, DQ checks, view creation). Implement orchestration using Airflow DAGs and Cloud Run jobs, ensuring modular, maintainable, and scalable solutions. Integrate with automation tools (Automic) for job triggering, monitoring, and error handling. Platform Configuration & Optimization Configure and tune serverless workloads (Cloud Run, Dataproc, BigQuery) for performance, stability, and cost efficiency (e.g., retry strategies, timeout settings, CPU/memory sizing, autoscaling). Apply best practices for resource allocation, parallelism, and batch processing in Python and PySpark jobs. Data Quality & Observability Implement data quality checks, logging, and monitoring for traceability and operational excellence. Ensure robust error handling, retry logic, and alerting for ETL pipelines. Security & Compliance Work with IAM, service accounts, and Secret Manager for secure credential management and access control. Adhere to data governance, privacy, and compliance requirements. Collaboration & Documentation Collaborate with cross-functional teams (platform, DevOps, data governance) to align on requirements and deliverables. Document migration processes, configuration parameters, and operational procedures. Required Skills & Experience Hands-on experience with GCP services: Cloud Run, Dataproc, BigQuery, Cloud Composer (Airflow), Cloud Storage. Strong understanding of Talend ETL concepts and experience migrating Talend jobs to Python is highly desirable. Experience with orchestration tools (Airflow, Automic) and automation of data workflows. Proficiency in containerization (Docker), CI/CD, and artifact management. Familiarity with data quality frameworks, logging, and monitoring tools. Solid grasp of IAM, service accounts, and cloud security best practices. Excellent problem-solving, communication, and documentation skills. Preferred Qualifications Experience with PySpark, serverless Spark jobs, and advanced resource tuning. Exposure to enterprise data platforms, large-scale migrations, and cloud-native architectures. Knowledge of GCP networking, firewall rules, and hybrid connectivity
Job Title: SAP Data Integration Specialist Connectors, Interfaces & Module Expertise Location: Hyderabad Employment Type: Contractual Role(C2H) Tenure: 3 Months Key Responsibilities: Lead the design and validation of data connector architectures across SAP modules, enabling real-time and batch ingestion pipelines. Document and interpret underlying data models and schemas of SAP modules: FI (Financial Accounting), CO (Controlling), SD (Sales & Distribution), Ariba, Concur , and S/4HANA . Work closely with engineering teams to build schema-aware connector frameworks and metadata-driven ingestion . Deep dive into SAP OData APIs, SAP REST APIs , and SAP Event Mesh / Streaming APIs to enable connector development. Map out entity-relationship models (tables, columns, data types, primary keys, join paths) across SAPs relational and service-based interfaces. Collaborate with Data Architects, Engineers, and Product Managers to build robust, reusable, and testable connector modules. Guide the error handling, retries, token refresh, pagination , and security patterns for SAP APIs and data access. Contribute to documentation, knowledge base articles, and best practices on SAP-to-Cloud data integration . Key Qualifications: 8+ years of experience working with SAP ecosystems , especially in data engineering, interfaces, or integration roles . Proven experience with SAP data stores and schemas for: FI/CO : General Ledger, Cost Centers, Profit Centers, Vendor/Customer Ledgers OR SD : Orders, Deliveries, Invoices or Ariba & Concur : Procurement, Expenses, Supplier Master or S/4HANA : CDS Views, Views or SAP BTP : CAP, Event Mesh, Integration Suite Deep knowledge of SAP API interfaces : SAP OData v2/v4 APIs SAP REST APIs (API Hub) SAP Event Mesh / Queue/Event Topics SAP Gateway & SAP NetWeaver for API Exposure Familiarity with SAP HANA as a backend datastore (tables, SQL views, modeling artifacts). Experience working with SAP Integration Suite, Cloud Connector, or PI/PO is a plus. Understanding of OAuth2, SAML, Basic Auth and token management for secure API access. Nice to Have: Exposure to open-source or cloud-native connector development (Python, FastAPI, Airbyte, dbt, etc.) Familiarity with GCP / Azure / AWS for cloud integration of SAP data. Experience with data modeling , reverse engineering , or UDM design based on SAP data. Knowledge of SAP Analytics Cloud (SAC) or DataSphere . Key Attributes: Strong analytical and problem-solving skills. Excellent documentation and communication skills. Ability to work independently and collaboratively with cross-functional teams. Passion for building reusable frameworks and accelerators.
Domain Architect Data Engineering Experience : Minimum of 13+ years of experience as a Data Architect in complex, large-scale data environments. SSIS, Databricks Expertise : Strong hands-on experience working with SSIS, Databricks, including using Apache Spark for data processing and optimization. ETL Tools : Proficient with various ETL tools and frameworks such as Informatica, Talend, or SSIS or DataBricks Big Data Technologies: In-depth knowledge of big data processing frameworks like Spark, Flink, Hadoop, Kafka, etc. NoSQL/MongoDB: Expertise in working with NoSQL databases, especially MongoDB, for large-scale data storage, retrieval, and optimization. Programming Skills: Proficient in SQL, Python or Java, Power shell for building data pipelines. SQL and NoSQL Proficiency: Strong knowledge of SQL and experience working with both relational databases and NoSQL databases like MongoDB. Data Modeling: Expertise in designing and implementing data models, including OLAP, OLTP, dimensional, and document-based models (NoSQL Data Reporting: Experience in integrating with Reporting platforms like Tableau, Qlik, etc Data warehousing: Data warehousing is a key part of ETL process, as it stores data from multiple sources in an organized manner and will be needed to build a repeatable ETL workflow to support many different data sources. Experience in building Datawarehouse, Datalakes in Snowflake. Redesign and refactor legacy custom ETL processes to reusable ETL workflows that can ingest diverse data sources to normalize data to standard JSON / XML output. Data Governance: Knowledge of data governance, security standards, and best practices for managing sensitive data. Version Control: Experience with Git or other version control systems for code management. Certification: Databricks certification, MongoDB certification, Snowflake SnowPro certification, or other relevant certifications in data engineering, cloud platforms (AWS, Azure or GCP or TKGI), or big data technologies. Soft Skills: Strong problem-solving skills, excellent communication, and the ability to work in a collaborative team environment. Analytical Mindset: Ability to translate business requirements into scalable, efficient, and reliable ETL solutions. Knowledge on AI/ML/GEN AI is desirable
Note: Preference will be given to immediate joiners and candidates currently serving a notice period of up to 20 days. Virtual interviews will be conducted for out-of-state applicants from 6th to 8th October 2025. Interested candidates are requested to share their updated CVs and availability details via email. Job Summary: We are seeking an experienced AI/ML Software Developer with strong hands-on expertise in building agentic AI systems using frameworks like LangGraph, AutoGen, or CrewAI. The ideal candidate will have a deep understanding of Agent-to-Agent collaboration, MCP servers, and Agent/LLM gateway architectures, along with practical experience in fine-tuning language models for domain-specific use cases. A solid grasp of retrieval-augmented generation (RAG), vector databases, knowledge graphs, LangSmith, and AI guardrails is essential. Key Responsibilities: Design, develop, and deploy AI/ML applications with a focus on agent-based architectures. Implement and optimize multi-agent collaboration flows using LangGraph, AutoGen, or CrewAI. Develop and integrate MCP servers and agent/LLM gateways to enable scalable and robust AI interactions. Fine-tune large language models for domain-specific use cases (e.g., healthcare, finance, manufacturing). Build and manage RAG pipelines leveraging vector stores (e.g., FAISS, Pinecone, Weaviate) and knowledge graphs. Integrate tools like LangSmith for observability and guardrails for responsible AI behavior. Work closely with cross-functional teams including product managers, data scientists, and frontend developers to deliver end-to-end solutions. Maintain best practices in Python development, testing, and documentation. Required Qualifications: 3+ years of professional software development experience. Proficiency in Python, with strong coding and debugging skills. Hands-on experience with at least one of the following frameworks: LangGraph, AutoGen, CrewAI. In-depth understanding of Agent-based architectures, Agent-to-Agent communication, and LLM orchestration. Experience with LLM fine-tuning, prompt engineering, and domain adaptation techniques. Knowledge of RAG, vector search engines, knowledge graphs, and relevant open-source tools. Familiarity with LangSmith, guardrails frameworks (e.g., GuardrailsAI, PromptGuard), and AI system monitoring tools. Preferred Qualifications: Experience working with cloud-native environments (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Proficiency with frontend technologies such as React, Angular, or Vue.js is a plus. Understanding of MLOps pipelines, CI/CD for AI applications, and LLMOps tools. Exposure to multi-modal LLMs and open-source models (e.g., LLaMA, Mistral, Falcon).