10XScale.ai

Role: SAP BW4HANA

Experience: 3.8 to 9 Years

Locations : Bangalore

Notice period - Immediate joiner candidates only.

L1-Virtual Interview.

L2(Second round will be conducted F2F - in person mandatorily)

• Multiple years of experience with SAP BW and BW on HANA -Mandatory
• Very Good knowledge on BW ABAP - Mandatory Experience & Good Knowledge in all BW key areas covering architecture, modelling ,extraction, ETL & Reporting –
• Mandatory Experience & Good Knowledge in LSA ++ architecutre
• Experience & Good Knowledge in BW on HANA concepts
• Hybrid Modelling including Native HANA Models ( Calculation Views / CDS Views) -Mandatory ABAP skills from BW Perspecive [Routines, Classes, AMDP, Procedures ABAP CDS etc) .
• Hands On Experience Required Experience & Good Knowledge on SAP BO Reporting Tools (Lumira , AFO, Fiori, SAPUI5)
• End to End Experience in gathering requirement, Functional Analysis, HLD, LLD, Buiil, Testing & Production deployment
• Extensive experience with analysis, design, development, customization and BW analytics Proficiency in analysing and translating business requirements to technical requirements and architecture.
• Extensive experience with complex SAP BW Environment & Architectures Delivering complex projects using Agile Scrum methodology
• Preferred Knowledge with SAP DataServices and any other ETL Tool from SAP , Non SAP landscapes Preferred Functional Knowledge Production Planning, Finance , Month End closing related tasks Should be flexible to support team during MEC period.

Position: Team Lead – Data Engineering

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

• Design and architect scalable, high-performance data solutions.
• Lead and mentor a team of data engineers.
• Build and optimize large-scale data pipelines.
• Drive architectural decisions and technical strategy.
• Ensure data quality, governance, and security best practices.
• Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

• Strong hands-on experience in Java & Python.
• Strong expertise in SQL and Big Data technologies.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience with Apache Airflow for workflow orchestration.
• Strong understanding of distributed systems and data architecture.
• Experience in CI/CD pipelines (mandatory).
• Experience in data warehousing and ETL processes.
• Excellent leadership and stakeholder management skills.

Good to Have:

• Experience with Dataflow (Apache Beam).
• Experience designing enterprise-level data platforms.
• Exposure to DevOps best practices.

Client: Capgemini

Location: Hyderabad

Experience: 8+ Years

Senior Software Engineer

As a Senior Software Engineer, you will design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments.
• Contribute to large-scale planning of strategies across Consumer Technology.
• Design, code, test, debug, and document applications and services, including upgrades and deployments.
• Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
• Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
• Lead projects and act as an escalation point, providing direction to less experienced engineers.
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
• Implement prompt engineering, retrieval-augmented generation, fine-tuning, and agentic design patterns.
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
• Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems.
• Assist and mentor engineers in advanced software development and AI engineering practices.
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

Required Qualifications:

• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
• 2+ years of experience working with Generative AI, large language models, or foundation models.
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
• 2+ years of experience with Python.
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Desired Qualifications:

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
• Experience working in highly regulated industries such as financial services.
• Experience as a technical lead or architect, including mentoring senior engineers.
• Experience integrating or contributing to open-source AI or ML projects.
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams.

Preferred Skills and Experience:

• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
• Experience with agentic frameworks and AI workflow orchestration.
• Experience designing applications that incorporate retrieval-augmented generation, fine-tuning, and structured prompting.
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
• Experience with LLM evaluation, observability, and monitoring, including latency, cost, accuracy, grounding, drift detection, and safety assessments.
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services.
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
• Experience optimizing AI application performance, including prompt efficiency, model selection, caching, batching, and cost management.

We are seeking a Partner Program Manager to join our global team, responsible for implementation and execution of NuoData's partner program initiatives. In this role, you will help manage key elements of our partner ecosystem to support revenue growth, enhance partner profitability, and ensure a positive partner experience with NuoData. You will report to Senior Director, Marketing, Partnerships, and GTM and collaborate with cross-functional teams across our global offices.

Responsibilities:

• Develop and manage global partner program that drives sales through acquisition and onboarding of solutions, software, services, hyperscalers, technology, system integrators, and vertical industry partners.
• Partner scouting, vetting, and determining product and services that compliments NuoData.
• Establish partner relationships through portal registration and alliance contacts.
• Ensure NuoData receives the optimum benefit from the partner relationship.
• Develop joint go-to-market programs delivering co-branded campaigns, sales enablement, and join sales efforts.
• Design and oversee partner reseller benefits and incentives that motivates top-performing partners.
• Mitigate partner conflict, competition with NuoData and other partner solution overlap, and product offerings.
• Help maintain program structure elements including partner tiering, rules of engagement, qualification processes, and training standards.
• Collaborate with regional teams to track partner performance against established metrics and support partner success initiatives.
• Assist with the implementation of training and certification programs that develop partner capabilities.
• Monitor program effectiveness through data collection and analysis to support continuous improvement efforts.
• Implement process improvements and enhance program scalability.
• Maintain documentation for program policies and processes.
• Setup regular business reviews (QBRs) to track KPIs, partner-sourced revenue, and product integration.
• Contribute to partner community-building initiatives, events and forums.
• Write copy for partner content on web, newsletters, and partner marketing materials.

Required Skills:

• 3-5 years of experience in partner programs, portals, relations, and successes, in similar roles in B2B SaaS companies.
• Has the technical knowledge and understanding of cloud infrastructure, data management and engineering, APIs, and industry technology stack.
• Strong understanding of partner operations, sales strategies, partner business models, and partner lifecycle management.
• Experience supporting partner onboarding, enablement, and development processes.
• Familiarity with partner engagement strategies for account management and growth.
• Solid organizational and project management skills
• Detail-oriented with an analytical approach to problem-solving
• Experience with channel sales motion (co-sell, resell, or distributor)
• Ability to work effectively in a hybrid environment and build relationships remotely
• Balanced approach to implementing immediate solutions while supporting long-term program optimization

Position: Team Lead – Data Engineering

Client: NucleusTeq

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

·     Design and architect scalable, high-performance data solutions.

·     Lead and mentor a team of data engineers.

·     Build and optimize large-scale data pipelines.

·     Drive architectural decisions and technical strategy.

·     Ensure data quality, governance, and security best practices.

·     Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

·     Strong hands-on experience in Java & Python.

·     Strong expertise in SQL and Big Data technologies.

·     Hands-on experience with Google Cloud Platform (GCP).

·     Experience with Apache Airflow for workflow orchestration.

·     Strong understanding of distributed systems and data architecture.

·     Experience in CI/CD pipelines (mandatory).

·     Experience in data warehousing and ETL processes.

·     Excellent leadership and stakeholder management skills.

Good to Have:

·     Experience with Dataflow (Apache Beam).

·     Experience designing enterprise-level data platforms.

·     Exposure to DevOps best practices.

GenAI Developer profile with good experience on Python + Pytorch / Tensorflow + LLMs fine tuning + RAG + Langchain / Hugging face / Langgraph

Required Technical Skills:

• Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras). (Must Have - one of the framework)
• Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA). (Must Have)
• Exposure to RAG systems and basic knowledge of hybrid search techniques. (Must Have)
• Understanding of model deployment and containerization (Docker). (Good to Have)
• Proficiency in Python for AI development, data preprocessing, and scripting. (Must Have - Python should be strong)
• Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus. (Good to Have - at least one of this skill)
• Understanding of version control systems (Git). (Must Have)
• Awareness of AI compliance, data privacy, and responsible AI principles. (Good to Have)

Required Soft Skills:

• Strong teamwork and communication abilities.
• Willingness to learn new AI/ML technologies and frameworks.
• Analytical mindset and attention to detail.
• Openness to feedback and continuous improvement.

Qualifications:

• Bachelor’s degree or Master’s degree in Computer Science, Data Science, AI, or a related field.
• 4+ years of professional experience in AI/ML development, with exposure to Generative AI.
• Experience delivering AI/ML projects in a collaborative setting.
• Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.

Email: naveenkb @ 10xscale.ai

GCP Data Engineer

Experience: 8 – 15 yrs

Grade: C2/D1

Skill: GCP + Python/Pyspark

NP: Immediate joiners

• 8+ years of hands-on experience in Python.
• 8+ years of hands-on experience in Data Engineering.
• 5+ Years of hands-on experience in GCP Big Query.
• Experience in building scalable data pipelines and automation frameworks.
• Experience migrating data and pipelines from SQL Server to GCP Big Query.
• Familiarity with CI/CD tools and Agile methodologies.
• Good understanding on Data Governance, Data Quality, Metadata, Lineage
• Expertise in Data Model design in Big query.
• Expertise in writing optimal Big query SQL and Stored Proc.
• Expertise in GCS Cloud Storage, Pub Sub, Cloud Composer, DAG, Apache Airflow, Data Flow, Data Proc, Data Plex, Cloud Run.
• Expertise in Vertex AI and Feature Store.
• Expertise in Spark and Apache Beam is desirable.

Email resumes to: naveenkb @ 10xscale.ai