
5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.
2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.
Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.
Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.
Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.
Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.
Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.
Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.
Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.
Experience or exposure to design and development using Full Stack tools.
Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.
Bachelor's or master's degree in computer science or related field.

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We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.
What will you need to be successful in this role?
Core Technical Skills
• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
• Proven experience deploying production LLM applications with 1M+ tokens processed
• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling
• Production experience with RAG systems including hybrid search and re-ranking
• Deep understanding of embedding models and vector databases at scale
• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)
• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)
• Experience implementing multi-agent systems and orchestration
• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)
Advanced Capabilities
• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)
• Knowledge of knowledge graphs and graph-based RAG implementations
• Understanding of model hosting, inference optimization, and cost management
• Experience with MLOps pipelines, CI/CD for ML, and model versioning
• Ability to architect end-to-end ML solutions from data ingestion to deployment
• Experience with data pipelines and ETL for ML workflows
• Proficiency in containerization and orchestration (Docker, Kubernetes)
Client Engagement & Delivery
• Experience presenting technical solutions to clients and stakeholders
• Ability to translate business requirements into technical ML solutions
• Track record of delivering client POCs and production implementations
• Experience creating technical documentation and implementation guides
Good to have
• Experience hosting private LLMs (7B-13B models on-premises or cloud)
• Knowledge of graph databases (Neo4j) and graph neural networks
• Experience with streaming and real-time ML inference
• Published research papers or contributions to open-source ML projects
• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning
• AWS/Azure ML certifications or working towards them
Competencies
• Excellent verbal and written communication skills
• Strong mentoring ability for junior ML engineers
• Self-driven with ability to work independently on complex problems
• Excellent problem-solving skills with systematic debugging approach
• Proactive ownership of projects from ideation to deployment
• Ability to stay current with rapidly evolving AI/ML landscape
• Excellent academic record – B.E./B.Tech, MCA,
REVIEW CRITERIA:
MANDATORY:
- Strong Manager – Customer Success, Account management Profile
- Must have 6+ years of overall experience with at least 4+ Years in Customer Success role
- Must have 1+ years of experience in AdTech industry
- Must have experience managing clients in the outside India market (Preferably US/America clients)
- Must have cross-functional experience working closely with Sales, Product, and Ad Operations teams for campaign execution, performance optimization, and client delivery.
- Must have strong technical understanding of digital advertising / programmatic platforms/software products
- B2B SaaS (AdTech experience is highly preferred)
PREFERRED:
- B.E/B.Tech (IT/CSE/ECE) with MBA preferred
- Exposure to pre-sales activities, including product demos, onboarding, and performance review presentations.
- Experience in analyzing data-driven advertising performance metrics and building optimization strategies.
ROLE & RESPONSIBILITIES:
As an Associate Manager - Customer Success, you are someone who comes with 6 to 8 years of Account Management/Business Development/ problem solving / hustling experience ina high growth internet startup/ technology company. As a technically savvy and results-driven Customer Success Manager, your primary focus will be driving revenue growth, reducing churn, enhancing product value, and supporting pre-sales activities. The ideal candidate should possess excellent relationship-building skills, a strong technical background, and a drive for achieving results.
- Serve as the primary point of contact and trusted advisor for assigned clients, ensuring exceptional customer service and satisfaction.
- Proactively engage with clients to understand their business objectives, monetization goals, and challenges, and provide strategic recommendations to achieve optimal results.
- Collaborate closely with internal teams, including Sales, Product, and Operations, to coordinate seamless onboarding, implementation, and ongoing support for clients.
- Conduct regular performance reviews and analysis of client monetization stack, identifying areas for improvement and developing optimization strategies.
- Monitor key performance metrics and provide timely reports and insights to clients, highlighting advertising performance, trends, and opportunities for growth.
- Deliver product demos and educate clients on best practices, new features, and industry trends to maximize their utilization and success with our platform solutions.
- Resolve client inquiries, concerns, and issues promptly and effectively, escalating to the appropriate teams when necessary.
- Support pre-sales activities, including conducting product demonstrations, presenting technical information, and addressing client inquiries and concerns.
- Stay up to date with industry trends, competitive landscape, and emerging technologies in the ad tech space to provide valuable insights and recommendations to clients.
IDEAL CANDIDATE:
- 6-8 years of experience in the internet/technology industry (mandatory)
- B.E / B.Tech(IT / CSE / ECE) along with an MBA degree (highly preferred)
- Excellent relationship-building skills with the ability to establish trust, foster positive business relationships and credibility with clients.
- Strong technical background with a solid understanding of software products and the ability to quickly grasp new technologies.
- Accountability and personal organisation are essential
- Experience in managing a diverse group and training each according to company standards
- Strong problem-solving and analytical skills with a focus on results and driving revenue growth.
- Outstanding communication and presentation skills, with the ability to convey complex concepts in a clear and concise manner.
- Self-motivated and proactive mindset with the ability to work independently and as part of a team.
- Experience in the tech industry or a related field is highly desirable.
PERKS, BENEFITS AND WORK CULTURE:
- Flexible work hours and leaves
- Salary advance
- Maternity/Paternity leave benefits & adoption assistance
- Butler & Concierge services
- Team Off-sites & Celebrations
BEYOND WORK:
- Insurance benefits for you and family
- Interest-free loans
- Gift vouchers for special moments
- Fully-equipped Gym
- Education Sponsorship Programs
Primary Skills: Database Systems (SQL), Python Flask/Fast API/Django frameworks specifically
Requirements:
- Highly proficient in fundamentals of Python web development frameworks like Flask, Django and Fast API
- Demonstrated experience in developing APIs using Python frameworks
- Should have deep knowledge in PostgreSQL, MS SQL Server and other SQL based Databases
- Knowledge and proficiency in NoSQL is a bonus
Please let us know how you were able to find the best talent and how it reflected
Responsibilities:
- Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
- Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
- Creating the Architecture Diagrams and documentation for various pieces
- Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response
Requirements:
- 3 - 5 years of professional experience as a DevOps / System Engineer.
- Strong knowledge in Systems Administration & troubleshooting skills with Linux.
- Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
- Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
- Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
- Experience in Infrastructure as code development using Terraform.
- Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
- Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
- Experience with GIT Version Control Software.
- Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
- Strong interpersonal and communication skills; ability to work in a team environment.
- AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
- Setup and management of a Kubernetes cluster, including writing Docker files.
- Experience working in and advocating for agile environments.
- Knowledge in Microservice architecture.
Job Description
Technical Recruiter Responsibilities:
- Communicating with hiring managers to identify future job openings and the technical requirements for those jobs.
- Writing job descriptions and posting to relevant media platforms.
- Screening applicants for competency with the job requirements.
- Arranging telephone, video, or in-person interviews.
- Performing background and reference checks.
- Presenting the resumes of the most suitable candidates to the hiring manager.
- Offering job positions and completing the relevant paperwork.
- Keeping track of all applicants as well as keeping applicants informed on the application process.
- Forecasting recruitment budgets.
Technical Recruiter Requirements:
- A bachelor's of science or human resources degree.
- A good understanding of technology and technical skills.
- Experience in recruitment processes and platforms.
- Good interpersonal and decision-making skills.
- 5+ years of work experience in end-to-end recruitment.
- Experience with a tech start-up would be a plus
- Experience of hiring tech role like from end, backend, full stack and app developers
- Hands-on experience using HR databases and Applicant Tracking Systems (ATS)
- An ability to multitask and deliver under tight deadlines.
- An ability to be Self-driven and maintain a positive attitude
● Basic day to day accounting
● Hands-on experience with accounting software tally software (Experience on Zoho software will
be add on)
● Handle monthly, quarterly and annual closings reports
● Reconcile accounts payable and receivable
● Compute taxes and prepare TDS & GST returns
● Comply with financial policies and regulations
Siply Services hiring Software Engineer – (Mobile Application Developer)
About us:
Siply helps underserved masses inculcate savings behaviour to build a more
productive and financially secure country. Our Vision is to build the Digital Bank
for 40 Crore Underserved Indians.
Role
Mobile Application Developer at Siply will be supporting Mobile Application development using Cross platform technologies. The individual will partner with team members and teams across the business to understand requirements, design and develop applications that engage and provide a great user experience. The individual will have the opportunity for hands-on development in Native and cross platform technologies and will be considered knowledgeable in UI design principles for mobile, design patterns, build/reuse components and follow best practices. The individual will be the go-to person and will manage modules independently along with providing guidance to junior members and contract resources.
Responsibilities:
- Build modules from scratch by dictating the right modular architecture
- Complete ownership of problem-free execution of owned modules and solutions.
- Focus on code optimization, code quality, maintainability etc.
- Leading a team of Flutter engineers
Requirements:
- 3-5 years of experience.
- Good to have experience in building Flutter Web.
- Expertise in state management techniques such as Block Provider, etc.
- Test driven development.
- Experience building, releasing and maintaining a large-scale Android application
- Good understanding of memory management, network interaction, debugging, concurrency and multi- threading in Android.
- Obsessed about performance and writing clean modular code.
- Understanding of complete application development, continuous integration & testing and app distribution infrastructure
Join us to be a part of our Growth Journey!
What are we looking for:
- Strong experience in MySQL and writing advanced queries
- Strong experience in Bash and Python
- Familiarity with ElasticSearch, Redis, Java, NodeJS, ClickHouse, S3
- Exposure to cloud services such as AWS, Azure, or GCP
- 2+ years of experience in the production support
- Strong experience in log management and performance monitoring like ELK, Prometheus + Grafana, logging services on various cloud platforms
- Strong understanding of Linux OSes like Ubuntu, CentOS / Redhat Linux
- Interest in learning new languages / framework as needed
- Good written and oral communications skills
- A growth mindset and passionate about building things from the ground up, and most importantly, you should be fun to work with
As a product solutions engineer, you will:
- Analyze recorded runtime issues, diagnose and do occasional code fixes of low to medium complexity
- Work with developers to find and correct more complex issues
- Address urgent issues quickly, work within and measure against customer SLAs
- Using shell and python scripts, and use scripting to actively automate manual / repetitive activities
- Build anomaly detectors wherever applicable
- Pass articulated feedback from customers to the development and product team
- Maintain ongoing record of the operation of problem analysis and resolution in a on call monitoring system
- Offer technical support needed in development
Job Description- -
Candidates will contribute towards achieving Sales Target of the region & implementing sales promotional strategies of that particular region. -Fix appointments and conduct home demo sessions on a daily basis including follow up sessions. - Generate revenue by counselling prospects and converting them to sales through face to face home demos. - Ability to work under challenging work environment. - Ability to work well in a team. - Fast-learner and self-motivated. - BYOD (Bring your own device) to work (reimbursed as per policy)
Qualification :-
Graduate with minimum 6 months to 4 years of sales experience.
B2C sales experience will be advantage.







