11+ Survival analysis Jobs in Bangalore (Bengaluru) | Survival analysis Job openings in Bangalore (Bengaluru)

Hi,

PFB the Job Description for Data Science with ML

Type of hire                  : PWD and Non PWD

Employment Type    : Full Time

Notice Period            : Immediate Joiner

Work Days                    : Mon - Fri

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

About the Role

We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.

Key Responsibilities

• Analyze large, structured and unstructured datasets to derive actionable insights.
• Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
• Apply statistical analysis, feature engineering, and model evaluation techniques.
• Work closely with business stakeholders to understand requirements and convert them into data science solutions.
• Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
• Monitor model performance and retrain models as required.
• Document assumptions, methodologies, and results clearly.
• Collaborate with data engineers and software teams to integrate models into production systems.
• Stay updated with the latest advancements in data science and machine learning.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
• 5+ years of hands-on experience in Data Science and Machine Learning.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Experience with ML algorithms:
• Regression, Classification, Clustering
• Decision Trees, Random Forest, Gradient Boosting
• SVM, KNN, Naïve Bayes
• Solid understanding of statistics, probability, and linear algebra.
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
• Experience working with SQL and relational databases.
• Knowledge of model evaluation metrics and optimization techniques.

Preferred / Good to Have

• Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
• Exposure to NLP, Computer Vision, or Time Series forecasting.
• Experience with big data technologies (Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with MLOps, CI/CD pipelines, and model deployment.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder interaction skills.
• Ability to work independently and in cross-functional teams.
• Curiosity and willingness to learn new tools and techniques.

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

.

About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its

clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL,

Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a

company.

Job Role: Senior Social Media Account Manager

Experience Level: 3+ years in Agency set-up

Location: Bangalore, On-site

Job Description:

● Create campaign strategies and monitor the execution to achieve the brand objectives.

● Manage social handles of the brand, like Instagram, Facebook, LinkedIn, X etc.

● Develop, implement and manage a brand's social media strategy on a monthly basis.

● In-depth knowledge of social media marketing, market trends, integration of online with

offline marketing and reporting.

● Measure the success of every social media campaign, as per required metrics.

● Work with copywriters and designers to ensure content is well-suited and appealing to the

defined target group for respective brands.

● Communicate with industry professionals and 3rd party vendors if and when required.

● Provide constructive feedback to the team(copy & design) to achieve desired results.

Requirements:

1. Bachelor's degree in Marketing, Communications, or a related field (Master's degree preferred).

2. 3+ years of proven experience in social media management within a client-based agency or related environment.

3. Demonstrated success in devising and executing impactful social media strategies for a variety of clients.

4. Excellent written and verbal communication skills, conveying ideas clearly to internal teams and clients.

5. Profound understanding of social media platforms, algorithms, content formats, and best practices.

6. Proven track record of generating exceptional results via integrated marketing strategies(online+offline).

🚀 Hiring: Manual Tester

⭐ Experience: 5+ Years

📍 Location: Pan India

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Must-Have Skills:

✅5+ years of experience in Manual Testing

✅Solid experience in ETL, Database, and Report Testing

✅Strong expertise in SQL queries, RDBMS concepts, and DML/DDL operations

✅Working knowledge of BI tools such as Power BI

✅Ability to write effective Test Cases and Test Scenarios

A BIT ABOUT US

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Appknox has helped secure mobile apps at Fortune 500 companies with major brands spread across regions like India, South-East Asia, Middle-East, US, and expanding rapidly. We have secured 300+ Enterprises globally.

We are a 60+ incredibly passionate team working to make an impact and helping some of the biggest companies globally. We work in a highly collaborative, very fast-paced work environment. If you have what it takes to be part of the team, we are excited and let’s speak further.

The Opportunity

Appknox AI is building next-generation AI-powered security analysis tools for mobile applications. We use multi-agent systems and large language models to automate complex security workflows that traditionally require manual expert analysis.

We're looking for an AI/ML Engineer who will focus on improving our AI system quality, optimizing prompts, and building evaluation frameworks. You'll work with our engineering team to make our AI systems more accurate, efficient, and reliable.

This is NOT a data scientist role. We need someone who builds production AI systems with LLMs and agent frameworks.

Key Focus:

Primary Focus: AI System Quality 

• Prompt Engineering: Design and optimize prompts for complex reasoning tasks
• Quality Improvement: Reduce false positives and improve accuracy of AI-generated outputs
• Evaluation Frameworks: Build systems to measure and monitor AI quality metrics
• Tool Development: Create utilities and tools that enhance AI capabilities

  Secondary Focus: Performance & Optimization 

• Cost Optimization: Implement strategies to reduce LLM API costs (caching, batching, model  selection)
•  Metrics & Monitoring: Track system performance, latency, accuracy, and cost
•  Research & Experimentation: Evaluate new models and approaches
•  Documentation: Create best practices and guidelines for the team

Experience

• 2–3 years of professional experience building AI-powered systems
• Previous hands-on work with agentic systems, autonomous workflows, or LLM-centric applications (not focused on model training)

Requirements:

• Design, build, and deploy autonomous AI agents using modern LLM frameworks
• Integrate agents with APIs, databases, and backend workflows
• Implement prompt strategies, tool/function calling, memory, and context management
• Strong understanding of vector databases and retrieval techniques (RAG use cases)
• Build production-ready systems with testing, monitoring, and scalable deployment practices
• Collaborate with cross-functional teams to ship reliable production features
• Strong Python and backend engineering skills
• Hands-on experience with agent frameworks such as LangChain, AutoGen, LlamaIndex
• Familiarity with observability and debugging tools (e.g., Arize, LangSmith, Langfuse dashboards)

Good to Have skill-set:

• Experience with multi-agent orchestration or planning frameworks
• Experience with online and offline evaluation of AI agents
• Exposure to cloud deployment and containerization (AWS/GCP/Azure, Docker)

 What We're NOT Looking For:

•   Only academic/tutorial LLM experience (we need production systems)
•   Pure ML research focus (we're not training foundation models)
•   Data analyst/BI background without engineering depth
•   No experience with LLM APIs or agent frameworks

  Our Tech Stack:

  AI/ML Infrastructure:

•   Agent Frameworks: LangChain, LangGraph
•   LLMs: Google Gemini (primary), with multi-model support
•   Observability: Langfuse, DeepEval
•   Vector Search: LanceDB, Tantivy
•   Embeddings: Hybrid approach (local + cloud APIs)

  Platform & Infrastructure:

•   Orchestration: Prefect 3.x, Docker, Kubernetes
•   Storage: S3-compatible object storage, PostgreSQL
•   Languages: Python 3.11+
•   Testing: pytest with parallel execution support

Work Expectations & Success Metrics:

Within 1 Month (Onboarding)

- Understand AI system architecture and workflows

- Review existing prompts and evaluation methods 

- Run analyses and identify improvement areas 

- Collaborate on initial optimizations

Within 3 Months (Initial Contributions)

- Own prompt engineering for specific components 

- Build evaluation datasets and quality metrics 

- Implement tools that extend AI capabilities 

- Contribute to performance optimization experiments

Within 6 Months (Independent Ownership)

- Lead quality metrics implementation and monitoring 

- Drive prompt optimization initiatives 

- Improve evaluation frameworks

- Research and prototype new capabilities

Within 1 Year (Expanded Scope)

- Mentor team members on best practices 

- Lead optimization projects (caching, batching, cost reduction)

- Influence architectural decisions 

- Build reusable libraries and internal frameworks

 Interview Process:

• Round 0 Interview - Profile Evaluation (15 min)
• Round 1 Interview - Take Home Assignment
• Round 2 Interview - Technical Deep-Dive (90 min)
• Round 3 Interview- Team Fit (45 min)
• Round 4 Interview- HR Round ( 30 min)

Why Join Appknox AI?

Impact & Growth

Work on cutting-edge AI agent systems that power real-world enterprise security. You’ll collaborate with experienced engineers across AI, security, and infrastructure while gaining deep expertise in LangGraph, agent systems, and prompt engineering. As we scale, you’ll have clear opportunities to grow into senior and staff-level roles.

Team & Culture

Join a small, focused product-engineering team that values code quality, collaboration, and knowledge sharing. We’re in a hybrid set-up - based out of Banaglore, flexible, and committed to a sustainable pace - no crunch, no chaos.

Technology

Built with a modern Python stack (3.11+, async, type hints, Pydantic) and the latest AI/ML tools including LangChain, LangGraph, DeepEval, and Langfuse. Ship production-grade features that make a real impact for customers.

Compensation & Benefits:

Competitive Package

We offer strong compensation designed to reward impact.

Flexibility & Lifestyle

Hybrid work setup and enjoy generous time off. You’ll get top-tier hardware and the tools you need to do your best work.

Learning & Development

Access a substantial learning budget, attend major AI/ML conferences, explore new approaches during dedicated research time, and share your knowledge with the team.

Health & Wellness

Comprehensive health coverage, fitness subscription, and family-friendly policies.

Early-Stage Advantages

Help shape the culture, influence product direction, and work directly with founders. Move fast, ship quickly, and see your impact immediately.

Responsibilities:

· Prepare periodic reports, such as summaries and dashboards, for the senior management, that provide Revenue and Resource Utilization pipeline, and present current status on various dimensions such as project management, execution, quality of delivery, process compliance and project profitability.

· Executing various revenue and non-revenue related contracts, and renewing those well in time. Tracking actual v/s the targets on weekly basis, and preparing specific Project wise Profitability Reports.

· Provide inputs on revenue comparison and arriving at a benchmark.

· Report revenue leakage by tracking non-billed hours put in by the resources in each project.

· Reviewing the rates and renewing them based on the inputs received from the manager.

· Collaborate closely with auditors, internal engineering and functional teams to keep the organization ready for audits through proper planning, internal audits and keeping evidences ready, and finally getting the organization audited from external agencies.

· Drive status meeting with the relevant stakeholders, leaders and mangers to check the status of various goals and initiate action through right channel wherever it is needed.

· Participate in Project Retrospective Meetings and record action items, and ensure that they get closed in timely manner.

· Maintain up-to-date documents related to the tasks managed by self.

Essential Skills (Technical):

· Excellent written and oral communication skills.

· Hands on experience in creating procedural documents and reports.

· Sound knowledge of business operations such as revenue, profitability, utilization of resources.

· Exposure to working with Senior Management team, and understanding their vision as well as way of working.

· Hands on experience in tools, such as MS Excel, Power-point, MS Word, Google Sheets, Docs, and One Drive to create various reports, documents and presentations.

· Exposure to document management systems.

Essential Skills (Leadership):

· Self-motivated, and have ability to manage and motivate the teams.

· Ability to drive the function and achieve the goal.

· Sense of ownership.

· Flair for data collection, maintenance and ability to draw conclusions from a maze of data points, and present it in a right way.

· Drive the communication in a positive and result oriented way.

· Getting the support from people not directly reporting and resolving the conflicting goals in a professional way, and work as a mediator wherever required. Great interpersonal skills.

· An eagle’s eye for detail.

· Focus on organization, rather than on any individual, from goals and work perspective.

We are actively seeking a self-motivated Data Engineer with expertise in Azure cloud and Databricks, with a thorough understanding of Delta Lake and Lake-house Architecture. The ideal candidate should excel in developing scalable data solutions, crafting platform tools, and integrating systems, while demonstrating proficiency in cloud-native database solutions and distributed data processing.

Key Responsibilities:

• Contribute to the development and upkeep of a scalable data platform, incorporating tools and frameworks that leverage Azure and Databricks capabilities.
• Exhibit proficiency in various RDBMS databases such as MySQL and SQL-Server, emphasizing their integration in applications and pipeline development.
• Design and maintain high-caliber code, including data pipelines and applications, utilizing Python, Scala, and PHP.
• Implement effective data processing solutions via Apache Spark, optimizing Spark applications for large-scale data handling.
• Optimize data storage using formats like Parquet and Delta Lake to ensure efficient data accessibility and reliable performance.
• Demonstrate understanding of Hive Metastore, Unity Catalog Metastore, and the operational dynamics of external tables.
• Collaborate with diverse teams to convert business requirements into precise technical specifications.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.
• Demonstrated hands-on experience with Azure cloud services and Databricks.
• Proficient programming skills in Python, Scala, and PHP.
• In-depth knowledge of SQL, NoSQL databases, and data warehousing principles.
• Familiarity with distributed data processing and external table management.
• Insight into enterprise data solutions for PIM, CDP, MDM, and ERP applications.
• Exceptional problem-solving acumen and meticulous attention to detail.

Additional Qualifications :

• Acquaintance with data security and privacy standards.
• Experience in CI/CD pipelines and version control systems, notably Git.
• Familiarity with Agile methodologies and DevOps practices.
• Competence in technical writing for comprehensive documentation.

1. Connecting with minimum 80 to 100 working professionals (prospective students) each day from the leads/database present on leadsquared CRM
2. Generating a pool of prospects by identifying the need of upskilling depending on the student’s area of interest
3. Helping prospective students with the detailed information about the programs offered through phone or video counselling & create a strong pipeline
4. Ensure to meet daily deliverables & achieve weekly/monthly enrolment target

• Read and understand the scope of work, and deliverables for the assigned project.
• Get confirmation on the same from TL/Manager.
• Ensure completeness/adequacy of data for a specified project. Coordinate with the site team.
• Have a good understanding of the relevant standards, and testing procedures.
• Prepare the reports as per the standard formats. Ensure customization is done if required from the client end.
• Keep track of completed, ongoing and upcoming jobs.
• Participate in the report discussions.
• Actively involve in training

• Full-stack developer with extensive knowledge of software development and agile methodologies, building native applications using JavaScript, and a portfolio of apps already published in-app store or self-hosted.
• Minimum 2-3 years experience working on Flutter projects/products.
• Good to have Healthcare domain experience.
• Ability to clearly understand requirements and translate them to software.
• Review business requirements, identify gaps, and assist in authoring functional design documents.
• Analytical mind with problem-solving aptitude.
• Proactive and self-starter requiring minimal supervision, who can collaborate with multiple stakeholders in the company.
• Good to have or awareness of Artificial Intelligence and Machine Learning algorithms and Python framework.
• 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 (Jenkins/Hudson), automated testing, and version control (GitHub, SVN).
• Knowledge of 3 rd party libraries and APIs, modern frameworks and design patterns, and test automation tools for Unit and Performance testing.
• Awareness of secure coding practices and standards. Page 2 of 3 Above all, you should love to build and ship products that real people use every day!

Roles and responsibilities:

• An ideal candidate will exhibit the following traits:
• Adapt and work on distributed technology stacks.
• Work with BAs to define or elaborate business software requirements.
• Design and build responsive and usable interface (UI/UX) for mobile applications through appealing, visual design.
• Take ownership of product features and work closely with stakeholders to ideate and rapidly release minimum viable product or mobile app solutions across healthcare products.
• Extensive experience with SDLC phases including Agile methodologies.
• Assist in designing client-side and server-side architecture.
• Perform code reviews, validation, and verification testing.
• Knows the use of version control software (GIT).
• Document technical design and unit test plans.
• Must have experience in working with multiple & small teams.
• Evaluate security and regulatory requirements.
• Proactively communicate in providing status reports and report blockers.
• Debug code, solve incidents and defects.
• Develop well-managed, high-quality, scalable, and reusable code.
• Should have excellent English (both verbal and written) skills.
• Should have excellent interaction and client communication skills.
• Solve technical challenges and take pride in their solutions and code.

Advantageous

• Java/Swift experience
• Understanding of Android Keyboard API
• Experience with optimizing applications for better performance and response

The Data Entry/Loan Support Specialist is responsible for reviewing Mortgage loan documents to analyze and correct any discrepancies/errors and enter the data into the system. This position requires the LSS to possess high attention to detail as this position involves responsibility for the accuracy of documentation critical to the loan Originations process.

Responsibilities

• Accurately and efficiently process data by reviewing mortgage loan documents and entering data into the system / Indexing of mortgage documents into appropriate document categories / Follow directions, procedures

Requirements (Qualifications and Skills):

• High school diploma required. Bachelor's degree preferred
• 2 - 3 years of reviewing and analyzing US Residential Mortgage documents
• Knowledge of mortgage industry documents
• Ability to work in a fast-paced, team-oriented work environment
• Ability to multi-task
• Strong technical and computer skills
• Acute attention to detail
• Excellent organizational and time management skills

Salary and Benefits

• Medical insurance
• Transportation provided