Engineering Manager

Job Title : QA Lead (AI/ML Products)

Employment Type : Full Time

Experience : 4 to 8 Years

Location : On-site

Mandatory Skills : Strong hands-on experience in testing AI/ML (LLM, RAG) applications with deep expertise in API testing, SQL/NoSQL database validation, and advanced backend functional testing.

Role Overview :

We are looking for an experienced QA Lead who can own end-to-end quality for AI-influenced products and backend-heavy systems. This role requires strong expertise in advanced functional testing, API validation, database verification, and AI model behavior testing in non-deterministic environments.

Key Responsibilities :

• Define and implement comprehensive test strategies aligned with business and regulatory goals.
• Validate AI/ML and LLM-driven applications, including RAG pipelines, hallucination checks, prompt injection scenarios, and model response validation.
• Perform deep API testing using Postman/cURL and validate JSON/XML payloads.
• Execute complex SQL queries (MySQL/PostgreSQL) and work with MongoDB for backend and data integrity validation.
• Analyze server logs and transactional flows to debug issues and ensure system reliability.
• Conduct risk analysis and report key QA metrics such as defect leakage and release readiness.
• Establish and refine QA processes, templates, standards, and agile testing practices.
• Identify performance bottlenecks and basic security vulnerabilities (e.g., IDOR, data exposure).
• Collaborate closely with developers, product managers, and domain experts to translate business requirements into testable scenarios.
• Own feature quality independently from conception to release.

Required Skills & Experience :

• 4+ years of hands-on experience in software testing and QA.
• Strong understanding of testing AI/ML products, LLM validation, and non-deterministic behavior testing.
• Expertise in API Testing, server log analysis, and backend validation.
• Proficiency in SQL (MySQL/PostgreSQL) and MongoDB.
• Deep knowledge of SDLC and Bug Life Cycle.
• Strong problem-solving ability and structured approach to ambiguous scenarios.
• Awareness of performance testing and basic security testing practices.
• Excellent communication skills to articulate defects and QA strategies.

What We’re Looking For :

A proactive QA professional who can go beyond UI testing, understands backend systems deeply, and can confidently test modern AI-driven applications while driving quality standards across the team.

• Strong AI/ML OR Software Developer Profile
• Mandatory (Experience 1) - Must have 3+ YOE in Core Software Developement (SDLC)
• Mandatory (Experience 2) - Must have 2+ years of experience in AI/ML, preferably in conversational AI domain (spped to text, text to speech, speech emotional recognition) or agentic AI systems.
• Mandatory (Experience 3) - Must have hands-on experience in fine-tuning LLMs/SLM, model optimization (quantization, distillation) and RAG
• Mandatory (Experience 4) - Hands-on Programming experience in Python, TensorFlow, PyTorch and model APIs (Hugging Face, LangChain, OpenAI, etc

Job Responsibilities

• Handle inbound & outbound customer interactions for International and Domestic processes.
• Engage with customers in English, Hindi, Marathi, or Gujarati/Bengali (as per process).
• Drive telesales, renewals, upsell/cross-sell, and customer retention activities.
• Build strong customer relationships and ensure superior service delivery.
• Achieve performance targets (KPI/KRAs) while adhering to compliance and quality standards.
• Provide VIP/priority support for high-value clients in specialized processes.

Eligibility

• Education: Minimum SSC/HSC; Graduates preferred.
• Experience: 6 months – 2 years in International Telesales / Customer Service / Renewals / Collections.
• Age Criteria: 22 – 39 years (role-specific).
• Language Proficiency:
• English + Hindi (mandatory for international process).
• English + Hindi + Marathi / Gujarati / Bengali (for domestic VIP/Lite/HVM processes).
• Male candidates preferred for some VIP processes (per business need).

Compensation & Benefits

• Salary: ₹17,000 – ₹37,000 In-Hand (based on experience & process).
• Incentives: Attractive, performance-based (no cap).
• .Shift Timings:
• International (US): 11 PM – 9 AM (Night shift, 2 rotational offs).
• Domestic (Thane): 10:30 AM – 7:30 PM (1 rotational off per week).

On-Payroll employment | Immediate Joining | 50+ Open Positions.

Walk-in Drive Details

⏰ Time: 11:00 AM – 5:00 PM

We're looking for candidates with experience with IT services sales only for this role. The candidate will be responsible for generating IT (Information Technology) sales and business, developing relationships with new clients, making sales visits and presentations, maintaining advanced knowledge of services, and establishing and meeting sales goals. The official designation would be Customer Success Executive.

Job Responsibilities

• Assist the sales team in lead generation and prospecting by using various online and offline tools and methods like cold calling, emails, events etc.
• Identify potential clients and establish relationships to understand their needs and requirements.
• Schedule appointments and demos for the sales team with qualified prospects.
• Provide excellent customer service by responding promptly to inquiries and concerns.
• Collaborate with other departments, such as marketing and customer service, to ensure customer satisfaction and retention.
• Liaise with technical team and marketing team for product marketing
• Achieve annual and quarterly order and revenue targets
• Suggest upgrades and services that may be of interest to clients.
• Negotiate with clients to secure the most attractive prices.
• Develop sales presentations, proposals, and contracts.
• Review clients' feedback and implement necessary changes.
• Remain in tune with trends in consumption to ensure that our offerings remain relevant.

Mandatory Skills:

• 2 years of Experience in IT Service Sales.
• MBA in marketing, business administration, or similar.
• Strong written and verbal communication skills.
• Excellent customer service and interpersonal skills.
• Ability to work independently and as part of a team.
• Should be good with decision-making and problem-solving skills
• Strong organizational and time-management skills.
• Ability to generate revenue by identifying pain points and suggesting suitable services.
• Great networking skills.

Benefits:

• Fantastic company culture.
• No politics. Just pure work and play!
• Very approachable and helpful seniors and peers.
• Get a chance to shape your career in one of the fastest-growing and dynamic spaces.
• Lots of creative freedom!
• Lots of fun at the workplace.
• Frequent fun activities to make work even more enjoyable :)

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

About Numen (https://numenhealth.com):
Numen Health is a Health-tech company with a goal to reimagine healthcare in India. Through an amalgamation of our healthcare team with the power of AI and the Internet of Things (IoT), we make healthcare easier and accessible through a data-based preemptive approach. Our mission is to facilitate change in the healthcare industry by moving from a reactive approach to a proactive one.
We are a wonderful, young team with experience in scaling up Indian and international businesses from the ground up. We are looking for like-minded and enthusiastic people who are passionate about making a lasting difference and want to help us revolutionize the way healthcare is delivered to a billion Indian!

Our Vision:
To shift the healthcare ecosystem from a ‘Sick-care' approach to a ‘Holistic-healthcare' approach. We aim to do that by enabling doctors and caregivers to move from treating ailments to employing a data-based,
preemptive approach.
About Product:
We offer preventive healthcare programs to individuals to improve their health. These plans are crafted in consultation with their treating doctor and a dedicated care team remotely monitors the progress in real[1]time. For doctors, Numen is a virtual facility to cater to all of their patient’s needs, remotely.
Why Join?
At Numen, you have the opportunity to make tangible changes to the existing healthcare systems in India
making it preventive and affordable. By joining the Numen team, you get to be part of a young, dynamic
team that is passionate about making a change and a fast-paced environment with multiple opportunities to
learn and grow.

Job Overview : 
Software Development Engineers FE will be responsible to participate in all stages of the software product development life cycle. This will include analysing system and user requirements, designing software flowcharts, creating user interfacing applications (Web Or Mobile) , troubleshooting bugs, and running tests to improve system functionality. An ideal
candidate would be someone who has proficiency in React Js, good analytical skills, the ability to anticipate issues and frame remedial actions, and excellent teamwork skills.

Responsibilities:
● Write simple, efficient, and maintainable code.
● Develop, scale and maintain web Applications written in ReactJs.
● Validating the functionality and security of the application.
● Manage individual priorities, deadlines, and deliverables.
● Function well in a fast-paced, rapidly changing environment.
● Ensuring best coding standards and practices to improve and maintain quality.
● Meeting with the engineering and product team to discuss project definitions and goals.

Requrements:
● Bachelor/Master degree in CS or related field from a reputed college.
● 2-6 years of experience in frontend software development.
● Sound knowledge of HTML,CSS, JavaScript and ReactJs.
● Solid grip on the programming basics like DS and algorithms.
● Prior experience in start-ups or health-tech will be a plus.
● Highly effective communication and interpersonal skills
● Strong troubleshooting and debugging skills

Experience

• 15+ years with deep expertise in Telecom domain spanning FTTx/PON, L2/L3 Packet Transport (Ethernet Switching and IP Routing) and Cloud networking from both traditional products and transformational products (disaggregated, virtualized, and based on open-source software).  

Key Responsibilities:

• Architectural (design and implementation) ownership of the Radisys BBA solution
• Architect product in consultation with PLM, pre-sales, and customers
• Contributing to and working on strategic deals, enterprise frameworks and comfortable presenting to senior leadership and Customers.
• Ability to quickly engage in proposals, work in a fast-paced environment and have the ability to multi-task.

Domain Skills Requirement:

• Deep knowledge of Telecom with FTTH solution is a must.. Hands-on experience in developing access solutions based on PON technologies
• Experience with deploying product at scale in a carrier-grade network
• Hands-on experience in developing Microservices in a container, orchestration, CI/CD-based environment.
• SDN and NFV 
• Wireline: ONF’s SEBA and VOLTHA Community and the challenges 
• CUPS (Control and User Plane Separation) 
• Wireline Access: OLTs, BNGs, ONTs, Residential Gateways (RGs) 
• PON Technologies: GPON, XGS-PON, NGPON-2, and Higher speed next gen PON standards (25G, 50G, 100G) 
• Ethernet Switching (L2) & IP Routing (L3); Software Defined Networking (ONOS, ODL) 
• Installing, running, and managing with Kubernetes (k8s) and Containers 
• Management and Orchestration (e.g., ONAP), Network Management, OSS/BSS, and TM Forum standards 
• Practitioner of Agile/SCRUM/SAFe

Qualification:

• Masters / Bachelor in any discipline of Engineering (Computer Science, Electronics preferred)