Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 36 hours ago

Senior Analyst - Data Quality

SE3,826 open roles

Where
Mumbai, Maharashtra, India
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Analyst - Data QualitySE · Mumbai, Maharashtra, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on SE's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. SE postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 36 hours ago

SE median: 1 days open

The posting

Job Title: Senior Analyst - Data Quality Function: Digital Innovation & Technology Location: Powai, Mumbai Overview This role demand strong GenAI experience, emerging mastery in Agentic AI Systems, and a good foundation in classical ML. You will design and build intelligent, tool-using agents, multi-agent systems, RAG pipelines, and LLM-based applications leveraging the LangChain , LangGraph ecosystem, LangSmith for evaluation. Key Responsibilities 1. GenAI / LLM Application Development Build GenAI applications using: LangChain and LangGraph Implement RAG architectures with: Retrieval, reranking, chunking, and memory strategies Vector databases such as FAISS, Azure AI Search, OpenSearch, and pgvector Design prompt-engineering strategies: Instruction following ReAct (Reasoning + Acting) Chain-of-thought structuring Self-reflection and planning loops Evaluation strategy: Implement evaluation frameworks for classical ML and GenAI systems, covering statistical validation, reliability, and robustness. Assess LLM outputs, RAG pipelines, and agent workflows for grounding quality, relevance, and retrieval accuracy, such as recall@k and precision@k. Use LangSmith for tracing, automated evaluations, regression testing, and continuous system-level quality monitoring. 2. Agentic System Architecture Build agentic workflows: Tool-calling agents Planner–executor systems Multi-agent communication systems Hierarchical agent architectures Deep agents Integrate memory systems: Episodic memory Semantic memory Vector-based long-term knowledge Implement evaluation frameworks for agentic systems using LangSmith. 3. Model Context Protocol (MCP) & Tooling Implement MCP servers for external tool connectivity. Build tools that allow agents to interact with: APIs Code-execution environments Knowledge bases Company applications 4. Classical ML (Foundational DS Skills) Apply ML models to structured and unstructured data. Conduct feature engineering, model selection, and hyperparameter tuning. Build interpretable models where required. 5. Engineering & Integration Collaborate with backend engineering teams to seamlessly integrate agentic and GenAI systems into production applications. Implement observability, tracing, and monitoring for GenAI workflows using LangSmith to ensure reliability and system-level transparency. 6. Cloud MLOps & Quality Monitor ML modelling performance, data drift, concept drift, and model quality. Apply hands-on experience across AWS, Azure, or Databricks, with flexibility to work on any cloud platform. Adhere to stringent quality assurance and documentation standards using version control and code repositories, such as Git, GitHub, and Markdown. Required Skills & Experience 5–10 years of total experience, including 2–4+ years of hands-on GenAI delivery. Strong Python skills and solid classical ML foundations, including feature engineering, model selection, hyperparameter tuning, tree-based models, and regression. Hands-on expertise in LangChain, LangGraph, LangSmith, RAG patterns, vector databases, MCP tooling, agent tool integration, ReAct, Tree of Thoughts, and multi-agent orchestration. Experience working with LLM APIs and/or open-source LLMs, including building, evaluating, and debugging production-grade GenAI pipelines. Hands-on exposure to AWS, Azure, or Databricks; Git/GitOps; MLOps; observability; and model-drift monitoring. Experience deploying enterprise-grade GenAI solutions in real-world environments. Knowledge of multimodal LLM applications involving vision, speech, or code. Familiarity with structured LLM evaluation, including hallucination, safety, reliability, and robustness assessments. Education and Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related discipline. Relevant GenAI, ML, cloud, Databricks, or MLOps certifications are desirable. Preferred Experience Enterprise deployment of complex multi-agent or multimodal LLM solutions. Knowledge of Responsible AI, model governance, data privacy, security, and auditability. AI or analytics delivery experience in manufacturing, supply chain, sales, service, channel operations, or digital transformation. What's in it for me? High-impact work on innovative AI projects that shape business strategy Collaborative team culture with talented professionals who support your growth Opportunities to expand your expertise and stay at the forefront of AI technology Autonomy to guide technical decisions and set your own priorities Ready to make your mark in AI? We'd love to hear from you! Rewards designed for you Our Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits—it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page. * Country-specific programs and initiatives may be available. Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric – apply today! €40 billion global revenue +9% organic growth 150 000+ employees in 100+ countries You must submit an online application to be considered for any position with us. This position will be posted until filled. Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against SE's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on SE's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    SE's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.