11+ Long short-term memory (LSTM) Jobs in Mumbai | Long short-term memory (LSTM) Job openings in Mumbai

What You’ll Do

● Partner with Product to spot high-leverage ML opportunities tied to business

metrics.

● Wrangle large structured and unstructured datasets; build reliable features and

data contracts.

● Build and ship models to:

○ Enhance customer experiences and personalization

○ Boost revenue via pricing/discount optimization

○ Power user-to-user discovery and ranking (matchmaking at scale)

○ Detect and block fraud/risk in real time

○ Score conversion/churn/acceptance propensity for targeted actions

● Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.

● Design and run A/B tests with guardrails.

● Build monitoring for model/data drift and business KPIs

What We’re Looking For

● 2–4 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.

● Proven, hands-on success in at least two (preferably 3–4) of the following:

○ Recommender systems (retrieval + ranking, NDCG/Recall, online lift;

bandits a plus)

○ Fraud/risk detection (severe class imbalance, PR-AUC)

○ Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs,

guardrails/simulation)

○ Propensity models (payment/churn)

● Programming: strong Python and SQL; solid git, Docker, CI/CD.

● Cloud and data: experience with AWS or GCP; familiarity with

warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).

● ML breadth: recommender systems, NLP or user profiling, anomaly detection.

● Communication: clear storytelling with data; can align stakeholders and drive decisions.

Job Description: -

Conduct meetings and give product demonstration to the CXO level/ key decision makers of the prospective clients -

Cold call as appropriate within your market or geographic area to ensure a robust pipeline of opportunities

- Prospect for potential new clients and turn this into increased business

- Research and build relationships with new clients - Plan approaches and pitches

- Develop and manage an efficient distribution network to improve sales performance

- Conduct market research to understand competitors and market trends

- Provide innovative ideas and suggestions to improve the market presence

- Develop creative promotional strategies to attract more customers

- Handle objections by clarifying, emphasizing agreements and working through differences to a positive conclusion.

- Use a variety of styles to persuade or negotiate appropriately - Maintains relationship with clients & channel partner

- Willing to travel anywhere in India, if required

- To prepare sales proposals for prospective clients

. - Timely Reporting of daily, weekly, sales trackers and monthly reports. - Carry a comfortable back pack of demo kit for demonstration weighng upto 3 kgs.

Requiements/ Qualification:

- Strong Interpersonal and Presentation skills.

- Confident speaker and aility to engage key decision makers (CXO level) is be the key quality 2 sought in candidates.

- Candidates with proven work experience in Channel sales for products like CCTV, Video Door Phone, Access Door Control, etc (preferred)

- MBA (sales and Marketing would be preferred) with 1-2 years experience

- Must have 2 wheeler. Industry: IT-Hardware & Networking/ access control/ automation

Required Skills

·      Experienced developer with hands-on expertise in Java Spring Boot: Spring Boot Data, Spring Boot Integration, Spring Boot Messaging, Spring Boot Web, Spring Boot Security, and Spring Boot AOP., MySQL, REST API, SOAP APIs, JavaScript, Angular, Tomcat, Drools, Docker, Kubernetes.

·      Strong understanding of MicroServices architecture, design patterns and best practices.

·      Designing and Developing web applications using Microservices on Java Spring Boot, testing using jUnit & jMeter, deploying using Maven, Jenkins, Docker & Kubernetes, monitoring using ELK and associated technologies.

·      Excellent problem-solving skills and ability to troubleshoot technical issues effectively. Troubleshoot and resolve technical issues, ensuring the stability and performance of applications.

Responsibilities

·      Implement low-level designs and coding for complex software systems.

·      Collaborate with cross-functional teams and Business Analysts to understand business requirements and translate them into technical solutions.

·      Implement best practices for software development, code reviews, and quality assurance.

About the Company:

A well-funded AI startup is building enterprise-grade Agentic AI infrastructure that enables autonomous systems to safely execute complex workflows across enterprise environments.

The company is building its founding engineering team and offers the opportunity to work directly with experienced founders on cutting-edge AI products.

Role Overview:

We're looking for an experienced engineer who has built production-grade AI Agents or Agentic AI systems.

You'll design and build the core infrastructure that powers autonomous AI agents, including reasoning, planning, tool execution, memory, orchestration, evaluation, and reliability.

Key Responsibilities:

• Design and build production-ready AI agent infrastructure.
• Develop agent orchestration, planning, routing, and memory systems.
• Build guardrails, validation, retries, rollback, and failure recovery mechanisms.
• Develop evaluation, tracing, and observability frameworks for AI agents.
• Integrate AI agents with enterprise platforms and APIs.
• Own AI platform architecture from design through production deployment.

Required Skills:

• 6–10 years of software engineering experience.
• Hands-on experience building production AI Agents.
• Strong understanding of LLMs, Agentic AI, and AI orchestration.
• Experience with LangGraph, Semantic Kernel, or similar agent frameworks.
• Strong backend engineering and distributed systems experience.
• Experience with Python, Node.js, or TypeScript.
• Knowledge of RAG, multi-agent systems, planning agents, and tool calling.
• Experience with PostgreSQL, Redis, AWS, and Docker.
• Strong engineering ownership and problem-solving ability.

Good to Have:

• LLM evaluation frameworks.
• AI observability and tracing.
• Workflow engines and state machines.
• Terraform.
• Microsoft Graph / Microsoft 365 integrations. 

Criteria

Mandatory

• Strong Product / Business Analytics profile, with a focus on B2C digital products
• Mandatory (Experience 1): Must have 4+ YOE in Consumer analytics for Product / Marketing / Business / Consumer behaviour Insights for B2C Products (Don't want logistics, operations or supply-chain focused analytics profiles, they should have worked on consumer-side analytics)
• Mandatory (Experience 2): Must have hands-on experience with data analysis tools (SQL, Excel, Python, R)
• Mandatory (Experience 3): Must have hands-on experience with KPI dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels
• Mandatory (Experience 4): Proven ability to translate and communicate complex analytical concepts into clear, actionable insights for non-technical stakeholders
• Mandatory (Company): B2C product companies offering digital / Tech products (such as Fintech, EdTech, AdTech, TravelTech)
• Mandatory (Exclusion): Avoid all e-commerce companies like Meesho, Amazon, Flipkart, Swiggy, as their scope of work is limited and irrelevant to their requirement.
• Note: Candidates must be from B2C tech product companies where the core user experience is driven by the technology itself—not from companies like Ola, Swiggy, Zepto, Zomato, Uber, where the user experience is shaped by a tangible service (e.g., food delivery or cab rides).
• Mandatory (Stability): Minimum 2 years per role required. One short stint is acceptable if there’s a long tenure (eg: 5+ years) in a prior role. Frequent job changes are straight rejects.
• Note: Total years of experience must not exceed 6 years.

Preferred Companies

Scaler, Unacademy, upGrad, BYJU’S, Vedantu, Khan Academy, Toppr, Practo, QISpine, Paytm, Paytm Money, Freo Money, Groww, Zerodha, CRED, Navi, PhonePe, Jupiter, Kuku FM, Hike Messenger, Pocket FM, Dailyhunt, Gaana, JioSaavn, MX Player, Hotstar, Gameskraft, Dream11, MPL, Nazara Technologies, WinZO

Job Summary:

We are looking for a skilled and motivated Python AWS Engineer to join our team. The ideal candidate will have strong experience in backend development using Python, cloud infrastructure on AWS, and building serverless or microservices-based architectures. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable and secure applications in the cloud.

Key Responsibilities:

• Develop and maintain backend applications using Python and frameworks like Django or Flask
• Design and implement serverless solutions using AWS Lambda, API Gateway, and other AWS services
• Develop data processing pipelines using services such as AWS Glue, Step Functions, S3, DynamoDB, and RDS
• Write clean, efficient, and testable code following best practices
• Implement CI/CD pipelines using tools like CodePipeline, GitHub Actions, or Jenkins
• Monitor and optimize system performance and troubleshoot production issues
• Collaborate with DevOps and front-end teams to integrate APIs and cloud-native services
• Maintain and improve application security and compliance with industry standards

Required Skills:

• Strong programming skills in Python
• Solid understanding of AWS cloud services (Lambda, S3, EC2, DynamoDB, RDS, IAM, API Gateway, CloudWatch, etc.)
• Experience with infrastructure as code (e.g., CloudFormation, Terraform, or AWS CDK)
• Good understanding of RESTful API design and microservices architecture
• Hands-on experience with CI/CD, Git, and version control systems
• Familiarity with containerization (Docker, ECS, or EKS) is a plus
• Strong problem-solving and communication skills

Preferred Qualifications:

• Experience with PySpark, Pandas, or data engineering tools
• Working knowledge of Django, Flask, or other Python frameworks
• AWS Certification (e.g., AWS Certified Developer – Associate) is a plus

Educational Qualification:

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field

About Whitehat Jr

WhiteHat Jr was created to solve the #1 gap in our school system today. Today, in the computer age, less than 1% of schools teach algorithmic thinking despite research indicating early years as the turning point for deep coding skills. WhiteHat Jr prepares kids 5-12 for this new world. Kids learn both the fundamentals of coding--logic, sequence, structure, algorithmic thinking - and experience the joy of creative expression in building animations, games and apps using code.

About the role

We’re seeking a qualified Sales Manager to sell Whitehat Jr’s product that our customers have grown to rely on. The Sales Manager will utilise their skills to generate high quality leads, build a strong relationship with customers and close deals. The ideal candidate will be a quick learner with strong negotiating skills, and demonstrate the ability to showcase our offerings in a compelling way.

Role details (please read)

Scope: Exceed targets for New Sales, Referrals or Renewals, in an individual contributor role

Work Location: Remote online work until offices reopen, candidate may be based anywhere in India

Working days: 6 working days with 1 day-off which may be during week

Shifts (subject to change): shift start hour will be after 6 AM and shift end hour before 12 midnight

Mandatory Language Fluency: English, Hindi

Laptop/Wi-fi: candidates to use their own laptops, wi-fi will be reimbursed

Additional Compensation: If applicable, this will be decided basis your allocated shift after you join

Qualifications

• Proven B2C Sales track record of exceeding targets, >2 years of Sales experience

• Fluency in English and Hindi, ability and willingness to deliver in a high pressure environment

• Excellent communication, interpersonal, problem-solving, presentation, and organisational skills.

• Ability to counsel a parent for the child's future

• Comfortable with changing shift timings so that we may serve our customers better

• Graduation is not mandatory for candidates with minimum 6mnths of experience
• Graduation & MBA fresher can apply

• Working knowledge of Salesforce, spreadsheets (Excel, Google Sheets ) and powerpoint