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Create Presentations for various occasions.
Create responses to RFPs/RFIs
Create content for Web
Manage social accounts
Working closely with Sales to ensure successful closure of the sales process
Liaising with Product Managers to provide feedback from clients about product requirements
Keeping abreast of market trends and product & competitor landscapes
Skills
- Leadership and communication skills
- Very skilled at MS office applications like Word, Excel, Powerpoint
- Presentation skills
- Excellent writing skills and flair
- Interest in and understanding of the industry – often a technology-related one
- Ability to research and keep on top of industry developments
- Influencing and negotiation skills
- Aptitude for time management and organisation
- Problem-solving ability.
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.
The Role
This role is anything but conventional- It is an opportunity to define and execute our plans and make an impact on the development of millions of children.
As our tech lead, you will work closely with the founders to crystallize and own the product roadmap and then, to bring the product vision to life through simple, elegant design & code that delights users.
You will be the key architect of the product and will help the engineering team build and maintain the product across mobile and web.
You will own development and delivery of the code- including analysis, optimization and debugging.
Key Skills
3-6 years of experience with backend and frontend web-based application development
2+ years of experience with React / Redux + HTML/CSS
2+ years of experience with Python
Have some experience with databases (SQL, MongoDB)
Have created meaningful APIs and models that are flexible and scalable
About You
You will thrive in this role at KinderPass if you:
- Have a passion for our mission to re-imagine child health and development
- Have the drive to be part of building something new - to learn, to work hard, to be your best self and to adapt to the constant change and evolution of a start-up.
- Enjoy autonomy and flexibility but can work well in a team
- Count Ownership and Reliability as your key strengths
- Can communicate effectively
Data engineers:
Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity
Constructing infrastructure for efficient ETL processes from various sources and storage systems.
Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.
Leading the implementation of algorithms and prototypes to transform raw data into useful information.
Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.
Creating innovative data validation methods and data analysis tools.
Ensuring compliance with data governance and security policies.
Interpreting data trends and patterns to establish operational alerts.
Developing analytical tools, utilities, and reporting mechanisms.
Conducting complex data analysis and presenting results effectively.
Preparing data for prescriptive and predictive modeling.
Continuously exploring opportunities to enhance data quality and reliability.
Applying strong programming and problem-solving skills to develop scalable solutions.
Writes unit/integration tests, contributes towards documentation work
Must have ....
6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.
High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.
Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.
Solid understanding of batch and streaming data processing techniques.
Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.
Expert-level ability to write complex, optimized SQL queries across extensive data volumes.
Experience with RDBMS and OLAP databases like MySQL, Redshift.
Familiarity with Agile methodologies.
Obsession for service observability, instrumentation, monitoring, and alerting.
Knowledge or experience in architectural best practices for building data pipelines.
Good to Have:
Passion for testing strategy, problem-solving, and continuous learning.
Willingness to acquire new skills and knowledge.
Possess a product/engineering mindset to drive impactful data solutions.
Experience working in distributed environments with teams scattered geographically.
As a Assistant Manager - Talent Acquisition , you will be responsible for overseeing the entire recruitment process and ensuring the acquisition of top-quality candidates to meet the organization's talent needs. You will collaborate with hiring managers and executives to understand staffing requirements, develop effective recruitment strategies, and build a strong pipeline of qualified candidates. This role requires exceptional communication and interpersonal skills, a deep understanding of talent acquisition best practices, and the ability to thrive in a fast-paced, dynamic environment.
Responsibilities:
- Collaborate with hiring managers to identify staffing needs, job requirements, and candidate profiles for various positions within the organization.
- Develop and implement effective recruitment strategies to attract and engage a diverse pool of high-quality candidates.
- Utilize various sourcing channels, such as job boards, social media, professional networks, and employee referrals, to identify potential candidates.
- Review resumes, conduct interviews, and assess candidates' qualifications, skills, and cultural fit for the organization.
- Conduct reference checks and background screenings to verify candidates' credentials and employment history.
- Actively participate in job fairs, industry events, and networking activities to promote the organization and build relationships with potential candidates.
- Manage the end-to-end recruitment process, including job postings, interview coordination, offer negotiation, and onboarding.
- Provide guidance and support to hiring managers on interviewing techniques, candidate evaluation, and selection decisions.
- Develop and maintain strong relationships with external recruiting agencies, universities, and other talent sources.
- Stay updated on industry trends, market conditions, and best practices in talent acquisition, and make recommendations for process improvements and innovative recruitment strategies.
Requirements:
- Bachelor's degree in Business Administration, or a related field. A Master's degree is a plus.
- Proven experience as a Talent Acquisition Manager or a similar role, preferably in a fast-paced and dynamic environment.
- Solid understanding of recruitment principles, practices, and strategies.
- Demonstrated experience in full-cycle recruiting, including sourcing, interviewing, and candidate evaluation.
- Proficiency in using applicant tracking systems (ATS), HRIS, and other recruitment software.
- Excellent interpersonal and communication skills, with the ability to build relationships with candidates, hiring managers, and external partners.
- Strong organizational and time management skills, with the ability to manage multiple priorities and meet deadlines.
- Knowledge of employment laws and regulations.
- Ability to adapt to changing business needs and thrive in a high-pressure environment.
- Someone with relevant non-IT hiring experience is preferred.
• Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc)
• should have good hands-on Spark (spark with java/PySpark)
• Hive
• must be good with SQL's(spark SQL/ HiveQL)
• Application design, software development and automated testing
Environment Experience:
• Experience with implementing integrated automated release management using tools/technologies/frameworks like Maven, Git, code/security review tools, Jenkins, Automated testing, and Junit.
• Demonstrated experience with Agile or other rapid application development methods
• Cloud development (AWS/Azure/GCP)
• Unix / Shell scripting
• Web services , open API development, and REST concepts
- Configure assets as per their compliance applications.
- Does Hardware and software related troubleshooting.
- Addressing Application related concerns via a remote tool
- Address escalation and priority concerns (VIP users)
- Trouble shooting on all kind of desktop calls.
- Configuring network services such as LAN. Win proxy & DNS services.
- Installation & Troubleshooting of printer calls.
- Configuration of MS Outlook, Outlook Express & solving related problems on user systems.
- Installing & configuring different Windows based Application Software’s.
- Configuring and troubleshooting for RDP.
- Installing & configuring client system to the domain.
- Installing, Configuring, Monitoring & troubleshooting network printers & solving related problems on user systems.
- User profile management.
- Remote configuring enables the Remote Desktop on the host PC and add/enable Remote Desktop users.
Should have good communication skills
Should be able to handle F2F interviews
1.SV, UVM, USB, DDR, PCIE, Ethernet, Axi, MIPI. Any one of the protocols will
be added advantage.
2.Experience in verification of complex IPs or SoCs.
3. Expertise in SoC Verification using C and SV/UVM.Expertise in AMBA
protocols
4. AXI/AHB/APB and experience in working with ARM Processors.
5. Expertise in Test Plan creation and Verification technologies like Code
Coverage, Functional Coverage and Assertions.
o Strong Python development skills, with 7+ yrs. experience with SQL.
o A bachelor or master’s degree in Computer Science or related areas
o 5+ years of experience in data integration and pipeline development
o Experience in Implementing Databricks Delta lake and data lake
o Expertise designing and implementing data pipelines using modern data engineering approach and tools: SQL, Python, Delta Lake, Databricks, Snowflake Spark
o Experience in working with multiple file formats (Parque, Avro, Delta Lake) & API
o experience with AWS Cloud on data integration with S3.
o Hands on Development experience with Python and/or Scala.
o Experience with SQL and NoSQL databases.
o Experience in using data modeling techniques and tools (focused on Dimensional design)
o Experience with micro-service architecture using Docker and Kubernetes
o Have experience working with one or more of the public cloud providers i.e. AWS, Azure or GCP
o Experience in effectively presenting and summarizing complex data to diverse audiences through visualizations and other means
o Excellent verbal and written communications skills and strong leadership capabilities
Skills:
ML
MOdelling
Python
SQL
Azure Data Lake, dataFactory, Databricks, Delta Lake



