11+ Online machine learning Jobs in Bangalore (Bengaluru) | Online machine learning Job openings in Bangalore (Bengaluru)

Key Responsibilities: -

• Counsel students and parents on academic programs, courses, and career

pathways.

• Understand student requirements and recommend suitable courses or programs.

• Handle inquiries via calls, emails, WhatsApp, and walk-ins.

• Assist students with the admission and enrolment process.

• Maintain accurate records of student interactions in CRM/ERP systems.

• Follow up with prospective students to ensure conversion and enrolment.

• Coordinate with academic and operations teams for smooth onboarding.

• Provide ongoing academic guidance and address student concerns.

• Meet assigned counselling and enrolment targets.

• Participate in seminars, webinars, and career guidance sessions.

Required Skills & Qualifications: -

• Graduate/Postgraduate in any discipline (Education background preferred), MBA,

Psychology, BBA

• Strong communication and interpersonal skills.

• Ability to understand student needs and provide appropriate guidance.

• Basic knowledge of academic programs, career options, and admissions

processes.

• Proficiency in MS Office and CRM tools.

• Target-driven with a student-centric approach.

Position Title: Account Executive - (SaaS – US Market)

Experience Level: 3–8 Years

Industry: B2B SaaS

Sales Segment: Small & Medium Businesses (SMB)

Market: United States

Employment Type: Full-time

Location: Bangalore, work from the office

US Market experience mandatory

Shift timing: 6 PM to 3 AM

In-house desk job

Excellent communication skills

Individual Contributor role

B2B SaaS company experience mandatory

Any graduate

Interview process: 3 rounds (2 Video Calls + Final Face-to-Face)

5 days of working from the office

Key Responsibilities

Own the end-to-end SMB sales cycle (prospecting to close) for U.S.-based customers

Handle inbound and outbound leads, including cold outreach

Conduct product demos, discovery calls, and negotiations

Build and manage a healthy sales pipeline and accurate forecasts

Consistently achieve or exceed monthly and quarterly quotas

Maintain accurate CRM records and sales activity tracking

Required Qualifications

3–8 years of experience as an Account Executive in B2B SaaS

Strong experience selling to SMB customers (not enterprise-only profiles)

Direct exposure to selling in the U.S. market

Proven track record of quota achievement

Excellent communication, negotiation, and closing skills

Hands-on experience with CRM tools such as HubSpot

Strong understanding of U.S. buyer behavior and SMB needs

Preferred Qualifications

Experience in fast-paced SaaS startups or growth-stage companies

Familiarity with high-volume deal environments ($5k–$100k ARR)

Strong consultative selling approach

Strong understanding of U.S. buyer behavior and SMB needs

JOB DETAILS:

- Job Title: Senior Business Analyst

- Industry: Ride-hailing

- Experience: 4-7 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Data Visualization, Data Analysis, Strong in Python and SQL, Cross-Functional Communication & Stakeholder Management

Criteria:

1. Candidate must have 4–7 years of experience in analytics / business analytics roles.

2. Candidate must be currently based in Bangalore only (no relocation allowed).

3. Candidate must have hands-on experience with Python and SQL.

4. Candidate must have experience working with databases/APIs (Mongo, Presto, REST or similar).

5. Candidate must have experience building dashboards/visualizations (Tableau, Metabase or similar).

6. Candidate must be available for face-to-face interviews in Bangalore.

7. Candidate must have experience working closely with business, product, and operations teams.

Description

Job Responsibilities:

● Acquiring data from primary/secondary data sources like mongo/presto/Rest APIs.

● Candidate must have strong hands-on experience in Python and SQL.

● Build visualizations to communicate data to key decision-makers and preferably familiar with building interactive dashboards in Tableau/Metabase

● Establish relationship between output metric and its drivers in order to identify critical drivers and control the critical drivers so as to achieve the desired value of output metric

● Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions, and process improvements to meet business needs

● Collaborating with our business owners + product folks and perform data analysis of experiments and recommend the next best action for the business. Involves being embedded into business decision teams for driving faster decision making

● Collaborating with several functional teams within the organization and use raw data and metrics to back up assumptions, develop hypothesis/business cases and complete root cause analyses; thereby delivering output to business users

Job Requirements:

● Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field.

● Around 4-6 years of experience being embedded in analytics and adjacent business teams working as analyst aiding decision making

● Proficiency in Excel and ability to structure and present data in creative ways to drive insights

● Some basic understanding of (or experience in) evaluating financial parameters like return-on-investment (ROI), cost allocation, optimization, etc. is good to have

👉 ● Candidate must have strong hands-on experience in Python and SQL.

What’s there for you?

● Opportunity to understand the overall business & collaborate across all functional departments

● Prospect to disrupt the existing mobility industry business models (ideate, pilot, monitor & scale)

● Deal with the ambiguity of decision making while balancing long-term/strategic business needs and short-term/tactical moves

● Full business ownership working style which translates to freedom to pick problem statements/workflow and self-driven culture

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

• Design, develop, test, deploy, maintain, and improve software and new user-facing features across Novo’s products and services.
• Drive technical decisions on a multi-functional, Agile team alongside product management, product design, and engineering.
• Optimize applications for maximum speed and scalability and analyze feedback from customers and internal teams to identify issues and improvement opportunities. 
• Champion a passion for engineering best practices such as code quality, linting, and testing.
• Ensure our software is reliable, extensible, maintainable, debuggable, secure, well-tested and performs well under load.
• Mentor junior engineers in all aspects of planning, development and testing.
• Stay engaged with latest technologies and evaluate strategies to keep the Novo technology stack up to date.

• 5+ years experience in a highly technical role at a hyper-growth startup or fast-paced company.
• Extensive background designing, developing, testing, deploying, maintaining, and improving software.
• Good understanding of Node.js & Javascript.
• Demonstrated ability to translate business goals and initiatives into technical requirements.
• Strong understanding of SQL database.
• Demonstrable experience architecting scalable and cost effective solutions to ensure and support customer growth.
• Experience mentoring junior engineers in all aspects of planning, development and testing.
• Strong understanding of system design and architecture.
• Interest in engaging with latest technologies and evaluating strategies to keep the Novo technology stack up to date.
• Excellent written and verbal communication skills with the ability to collaborate with both technical and non-technical teams effectively.

• Interacting via various channels, such as live chat, emails, social media and direct calls
• Modifying sales pitches in response to customer demand
• Acquiring and retaining contact information databases
• Put forward suggestions in accordance with the requirements of the consumer
• Ensure a smooth procedure for the consumer by transferring windows of opportunity to the appropriate department for further action
• Must be comfortable with on-site shift

What you will do

• Develop high-quality software based on the technical design provided by team lead
• Adherence with software development processes. Demonstrate problem solving skills, and attention to quality and detail
• Perform code reviews and unit testing, validation, and verification testing of program modules
• Develop well managed, high quality, scalable and reusable code using .NET components, web service API’s, database procedures, JavaScript, etc.
• Build automation pipeline (CI/CD) through appropriate tools and scripting
• Debug code, solve incidents and defects. Document unit test plans.
• Adhere toOWASP security standards while coding and regulatory requirements

Who you are

• Experienced Software Developer with 1 to 3 years of total IT experience.
• At least 2 years of development experience with Microsoft technology stack (.Net)
• Good knowledge of software development, agile methodologies, and the following technologies:

C#, http://asp.net/">ASP.NET Core, Web API, HTML/CSS, MVC, WCF, JavaScript, Oracle/SQL Server,AngularJS/ReactJS, Apache Kafka, Mule ESB, Apache Spark, PowerBI, Azure DevOps

• Experience developing highly responsive web and mobile applications (UI/UX) using HTML5/CSS3, W3.CSS, Bootstrap, JavaScript, XML, Xamarin, etc.
• Familiarity with various operating systems (Linux, Mac OS, Windows)
• Hands-on experience in software development and agile methodologies
• Proficiency in relational databases like SQL Server and Oracle. Knowledge of cloud technologies (AWS, Azure, Google cloud), container and virtualization will be a big plus.
• Familiarity with Continuous integration (Azure DevOps/Jenkins/Hudson) and version control (GitHub, SVN). Knowledge of modern frameworks and design patterns, and test automation tools for Unit and Performance testing.
• Experience creating secure RESTful web services in XML and JSON

1. Hands on Expert in UI/Front End Engineering/Development specifically React,
2. Redux, NodeJs who can code, design and own front end development and code.
3. Experience in React v16, Reach Redux, React Fibre and JavaScript advance (ES6+),
4. Experience in Advance State Management [Example: Redux, Mobx, RxJs, GraphQL etc]
5. Good experience on UI framework like Angular JS/ Vue JS/ Ext JS/jQuery/ React JS or equivalent SPA framework
6. Experience in HTML5, Javascript CSS3, ExpressJs, GraphQL
7. Strong understanding of Rest APIs, Web Sockets, Service Workers, HTTP/S Protocol, Web Security and Cloud Infrastructure, CI/CD, Web Packaging and Optimization, UX and Styling.
8. Expertise in Advance Java-Scripts
9. Knowledge and experience with Data Structure and Design methodologies.
10. Problem solving skill
11. Good experience working in Agile/Scrum teams
12. Good written and verbal communication skills.