QA -Automation Engineer

Review Criteria

• Strong AI/ML Test Engineer
• 5+ years of overall experience in Testing/QA
• 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
• Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
• Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
• Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
• Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
• Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
• Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
• Candidate must be based within Delhi NCR (100 km radius)

Preferred

• Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.

Job Specific Criteria

• CV Attachment is mandatory
• Have you worked with large datasets for AI/ML testing?
• Have you automated AI/ML testing using PyTest, Jupyter notebooks, or CI/CD pipelines?
• Please provide details of 2 key AI/ML testing projects you have worked on, including your role, responsibilities, and tools/frameworks used.
• Are you willing to relocate to Delhi and why (if not from Delhi)?
• Are you available for a face-to-face round?

Role & Responsibilities

• 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
• Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
• Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
• Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
• Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
• Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
• Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
• Preferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials

Ideal Candidate

• 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
• Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
• Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
• Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
• Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
• Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
• Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
• Preferred Certifications ISTQB AI Testing TensorFlow Cloud AI certifications or equivalent applied AI credentials

ROLES AND RESPONSIBILITIES:

Looking for a Key Account Manager (B2B) with Excellent Communication Skills and prior experience in selling or managing clients for SaaS products / Tech Sales.

KEY RESPONSIBILITIES:

• Own account P&L outcomes including Revenue Expansion, Retention, Gross Margins, NRR and CSAT scores
• Build multithreaded relationships across CXO, Product, Compliance and Procurement teams
• Drive platform adoption by shaping customer success plans, product usage KPIs and quarterly business reviews (QBRs)
• Identify and execute upsell and cross-sell opportunities across product lines to expand customer footprint
• Lead contract renewals, commercials and negotiations with a solutions-first mindset
• Manage risks proactively (churn risk, adoption gaps, budget constraints, competitive threats) with clear mitigation plans
• Maintain accurate forecast hygiene, account plans and stakeholder mappings in CRM
• Champion account governance and escalation resolution to ensure high-quality delivery and service experience

IDEAL CANDIDATE:

Skills & Competencies:

• Strong enterprise account management and SaaS upsell experience
• Commercial ownership & contract negotiation excellence
• Customer-centric problem solving & strategic account planning
• High stakeholder management maturity (multi-country/global exposure preferred)
• Excellent storytelling & data-driven business impact articulation

Must Have:

• 7-9 years of experience managing existing business in SaaS/HCM/FinTech/Enterprise platforms
• Proven track record of driving NRR (120%+ preferred) within assigned accounts
• Experience leading renewals, upsells and enterprise commercials
• Ability to build deep customer trust and long-term strategic relevance
• Strong fluency in business metrics, product adoption modeling, and value realization frameworks
• Hands-on experience with account management CRMs like Salesforce, Zoho, HubSpot, and similar
• Ability to manage clients independently with minimum supervision

PERKS, BENEFITS AND WORK CULTURE:

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that company offers.

Job Role: Asset Servicing Operations

Job Location: Gurugram (Onsite)

Job Type: Full Time.

Relevant Experience:

• Minimum 6 months experience in asset servicing or corporate actions processing.
• Exposure to dividends, bonuses, rights, mergers, splits, buybacks.
• Experience coordinating with custodians, NSDL/CDSL, brokers.
• Knowledge of entitlement processing and reconciliation

Key Skills:

• Corporate actions lifecycle
• Reconciliation & exception handling
• Excel & MIS reporting
• Documentation & regulatory compliance
• Stakeholder coordination

ROLES AND RESPONSIBILITIES

Essential Functions:

• Handle a portfolio of projects and clients in parallel from Fortune 1000 companies and across geographies.
• Plan for a quarter ahead and develop an execution plan for projects and people in the team. Need to be ahead of both client and internal resources in planning and execution.
• Establish and maintain strong relationships with product delivery, the sales team, client and account managers.
• Make sure that the projects are achieving promised business value/RoI and figure out ways to achieve it if there is a gap.
• Build Rapport with clients and manage those effectively, high end consulting touch would be required
• Manage escalations, variations, complexities in projects effectively.
• Able to effectively use the established frameworks in project execution, client handling, resource utilization, resource mentoring etc.
• Directly supervises functional consultants, solution architects; conducts employee performance reviews/evaluations and career development discussions
• Manage up- Make sure to keep the higher management honest and able to strike a right balance between issues/items that are to be escalated vs that are to be handled.

REQUIREMENTS AND QUALIFICATIONS

Education:

• Bachelor's or Master’s Degree (preferably from a top reputed university) 
• Strong presentation and facilitation skills with small and large groups
• Strong analytical skills with the ability to understand Fortune 1000 client business complexities and handle those

Experience:

• Overall 8+  years of professional services experience with extensive experience in customer facing  roles and involved in requirements gathering, gap analysis, feasibility study etc.
• Minimum 2 years of experience as Project manager or equivalent role demonstrating management and leadership experience, preferably in a fast paced consulting / professional services set-up.
• Minimum 1 year of experience managing large portfolio, leading cross-functional teams and tracking the project progress against the plans
• Experience in leading and mentoring people as part of the project life cycle.
• Experience in following the established processes/standards/templates to achieve successful results.
• Experience with Invoice-to-Cash related business process is desirable

Critical Knowledge, Skills, and Abilities Requirements:

• Excellent communication and presentation skills
• Team management and collaboration skills
• Strong organizational skills and detail oriented
• Ability to negotiate with stakeholders and have challenging discussions
• Proven problem solving, risk mitigation and analytical skills
• Excellent team and interpersonal skills
• Strong ownership to drive the projects from start to finish with maximum client delight

Position: Senior Executive – QA (Capsule / Pharma Manufacturing)

About Company: 

A growing organization engaged in manufacturing high-quality empty gelatin capsules and laboratory-scale pharma machines for global markets. The work environment combines the personal culture of a small unit with the process discipline of an international organization, offering strong career development, supportive leadership, and employee-focused benefits.

Location:

• Tarapur MIDC, Boisar, Dist. Palghar, Maharashtra
• Candidates from nearby areas preferred
• Company Accommodation Provided (for Bachelors / Family)

Qualification:

• B.Pharm OR B.Sc / M.Sc (Chemistry / Microbiology)

Experience:

• Minimum 8+ years in Quality Assurance
• Experience in Pharmaceutical / Food Processing / Cosmetics / Chemical manufacturing industry
• Knowledge of GMP, GLP, QMS activities required

Work Schedule & Timings:

• Friday – Fixed Weekly Off
• Alternate Saturdays Off
• Work Hours: 9:00 AM to 5:30 PM

Notice Period:

• Up to 30 Days acceptable
• Buyout Option is available

Key Responsibilities:

1. Maintain and improve QMS, GMP and GLP compliance across the plant.
2. Handle QMS functions including change control, validations, stability studies, equipment qualifications, APQR, and risk assessments.
3. Manage documentation and coordination of regulatory applications such as AHC to AQCS, EIA, and related compliance.
4. Plan and conduct internal & external audits for standards such as ISO, GMP+, FDA, EIA, Capexil etc., and ensure documentation readiness.
5. Evaluate and approve suppliers for raw materials, packaging materials, testing labs, and service providers.
6. Support in customer complaint investigation and CAPA implementation.
7. Conduct incident, deviation, and OOS investigations and ensure corrective & preventive actions.
8. Review and maintain Batch Manufacturing Records (BMRs) and suggest improvements.
9. Manage label artwork review and control processes.
10. Oversee daily operator allocation and resource availability.

Skills & Competencies:

Technical:

• Strong analytical and problem-solving skills
• Report writing and documentation skills
• Good understanding of GMP, GDP, and regulatory standards
• Good English communication (written & verbal)

Behavioural:

• Quality & service orientation
• Strong planning, prioritization, and time management skills
• Ability to work cross-functionally and collaborate effectively

Reporting Structure:

• Reports to: Plant Head
• Team Handling: 2 QA Assistants