Sales Manager

We are looking for a forward-thinking AI Engineer who thrives on pioneering advancements in AI technology and its practical applications within the insurance sector. This role is ideal for someone deeply engaged with AI research, enjoys exploring new technologies, and is adept at rapidly transitioning innovative concepts into real-world applications. Join our team to lead the integration of next-gen AI solutions that streamline and transform insurance processes.

Who You Are

An ideal candidate is someone deeply embedded in the AI research community, comfortable navigating uncharted tech territories, and skilled in translating complex theoretical ideas into testable and demonstrable prototypes. You are driven by curiosity and the challenge of solving complex problems that might one day reshape the insurance industry.

What We’re Looking For

● Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A PhD in AI or a related discipline is highly desirable.

● Experience:

○ Proven experience in AI research and implementation, with a deep

understanding of both theoretical and practical aspects of AI.

○ Strong proficiency in machine learning (ML), data science, and deep learning techniques.

○ Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.

○ Experience with data preprocessing, feature engineering, and data

visualization.

○ Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI and ML deployment.

○ Strong analytical and problem-solving skills.

○ Ability to translate AI research into practical applications and solutions.

○ Knowledge of AI model evaluation techniques and performance optimization.

○ Strong communication skills for presenting research and technical details to non- technical stakeholders.

○ Ability to work independently and in team environments.

Preferred Qualifications

● Experience working with natural language processing (NLP), computer vision, or reinforcement learning.

What You’ll Be Doing

• Stay at the forefront of AI research to continually bring the latest innovations into our development pipeline. Your role will focus on experimenting with AI Agents and agentic AI, exploring how these technologies can enhance insurance workflows.
• Rapidly prototype and validate your ideas, demonstrating feasibility and potential impact. Work with large, complex datasets to develop models that solve real business challenges. 
• While the core of your role is research-oriented, collaboration with production teams is essential. You will provide them with tested, validated concepts and support the initial stages of production integration.
• Partner with software developers, product managers, and other data scientists to ensure AI solutions are aligned with business needs
• Leverage state-of-the-art AI tools, frameworks, and libraries to accelerate AI development.
• Document AI research outcomes, development processes, and performance metrics. Present findings to stakeholders in an easily understandable manner.

Salary: INR 15 to INR 30 lakhs per annum

Performance Bonus: Up to 10% of the base salary can be added

Location: Bangalore or Pune

Experience: 2-5 years

About AbleCredit:

AbleCredit is on a mission to solve the Credit Gap of emerging economies. In India alone, the Credit Gap is over USD 5T (Trillion!). This is the single largest contributor to poverty, poor genie index and lack of opportunities. Our Vision is to deploy AI reliably, and safely to solve some of the greatest problems of humanity.

Job Description:

This role is ideal for someone with a strong foundation in deep learning and hands-on experience with AI technologies.

• You will be tasked with solving complex, real-world problems using advanced machine learning models in a privacy-sensitive domain, where your contributions will have a direct impact on business-critical processes.
• As a Machine Learning Engineer at AbleCredit, you will collaborate closely with the founding team, who bring decades of industry expertise to the table.
• You’ll work on deploying cutting-edge Generative AI solutions at scale, ensuring they align with strict privacy requirements and optimize business outcomes.

This is an opportunity for experienced engineers to bring creative AI solutions to one of the most challenging and evolving sectors, while making a significant difference to the company’s growth and success.

Requirements:

• Experience: 2-4 years of hands-on experience in applying machine learning and deep learning techniques to solve complex business problems.
• Technical Skills: Proficiency in standard ML tools and languages, including:
• Python: Strong coding ability for building, training, and deploying machine learning models.
• PyTorch (or MLX or Jax): Solid experience in one or more deep learning frameworks for developing and fine-tuning models.
• Shell scripting: Familiarity with Unix/Linux shell scripting for automation and system-level tasks.
• Mathematical Foundation: Good understanding of the mathematical principles behind machine learning and deep learning (linear algebra, calculus, probability, optimization).
• Problem Solving: A passion for solving tough, ambiguous problems using AI, especially in data-sensitive, large-scale environments.
• Privacy & Security: Awareness and understanding of working in privacy-sensitive domains, adhering to best practices in data security and compliance.
• Collaboration: Ability to work closely with cross-functional teams, including engineers, product managers, and business stakeholders, and communicate technical ideas effectively.
• Work Experience: This position is for experienced candidates only.

Additional Information:

• Location: Pune or Bangalore
• Work Environment: Collaborative and entrepreneurial, with close interactions with the founders.
• Growth Opportunities: Exposure to large-scale AI systems, GenAI, and working in a data-driven privacy-sensitive domain.
• Compensation: Competitive salary and ESOPs, based on experience and performance
• Industry Impact: You’ll be at the forefront of applying Generative AI to solve high-impact problems in the finance/credit space, helping shape the future of AI in the business world.

Are you a dynamic, results-driven sales professional who thrives in high-volume outreach? Do you excel at building relationships and booking high-quality demos? If so, we have an exciting opportunity for you!

About the Company

It is a leading company specializing in cutting-edge content management and sales enablement solutions. We are looking for a Sales Development Representative (SDR) to help drive our growth by connecting with prospective clients in the US market.

Key Responsibilities

✅ Outbound Prospecting & Engagement

• Conduct outbound calls to prospective clients on a daily basis.
• Send personalized emails and LinkedIn messages to engage decision-makers.

✅ Lead Qualification & Nurturing

• Identify and qualify prospects based on their needs and fit for our solutions.
• Maintain consistent follow-ups to nurture leads and move them through the pipeline.
• Convert MQLs (Marketing Qualified Leads) into SQLs (Sales Qualified Leads).

✅ Demo Booking & Sales Pitching

• Schedule high-quality demos daily
• Deliver compelling pitches that highlight the value of Paperflite’s solutions.

✅ Pipeline & CRM Management

• Update and track all sales activities, interactions, and progress in the CRM.
• Ensure accurate data entry to improve forecasting and reporting.

✅ Deal Progression & Closing Support

• Work closely with the Sales Manager to refine outreach and closing strategies.
• Address prospect objections and provide additional insights to support conversions.

✅ Sales Strategy & Performance Tracking

• Consistently achieve daily, weekly, and monthly sales goals.
• Analyze outreach performance and suggest optimizations to improve conversion rates.

✅ Market Awareness & Continuous Learning

• Stay updated on product knowledge, industry trends, and competitor activities.
• Adapt strategies based on market feedback to improve overall sales performance.

What We’re Looking For

• Experience: 3+ years in sales, with a proven track record in high-volume outreach.
• Communication Skills: Strong written and verbal communication skills in English.
• Sales & Business Development Skills: Ability to identify prospects, nurture leads, and drive conversions.
• Tech-Savviness: Familiarity with CRM systems, LinkedIn Sales Navigator, and other sales tools.
• Education: Bachelor’s degree in Business Administration, Marketing, or a related field (preferred).
• Work Setup: Must have your own laptop and ability to work independently.

Working Hours

🕗5:30 PM – 2:30 AM IST (Night Shift)

🌍 Fully remote position with the requirement to be available during these hours.

Why Join Us?

• 💰 Competitive Salary – We value your skills and expertise.
• 🏡 Flexibility – Work remotely with a supportive team.
• 🚀 Growth & Collaboration – Be part of a fast-growing company that encourages innovation and continuous learning.

If you’re ready to take on a dynamic role where your skills in lead generation will make a direct impact, we’d love to hear from you! 🚀

Scoutflo is a platform that automates complex infrastructure requirements for Kubernetes Infrastructure.

Job Description:

1. In-depth knowledge of full-stack development principles and best practices.
2. Expertise in building web applications with strong proficiency in languages like
3. Node.js, React, and Go.
4. Experience developing and consuming RESTful & gRPC API Protocols.
5. Familiarity with CI/CD workflows and DevOps processes.
6. Solid understanding of cloud platforms and container orchestration
7. technologies
8. Experience with Kubernetes pipelines and workflows using tools like Argo CD.
9. Experience with designing and building user-friendly interfaces.
10. Excellent understanding of distributed systems, databases, and APIs.
11. A passion for writing clean, maintainable, and well-documented code.
12. Strong problem-solving skills and the ability to work independently as well as
13. collaboratively.
14. Excellent communication and interpersonal skills.
15. Experience with building self-serve platforms or user onboarding experiences.
16. Familiarity with Infrastructure as Code (IaC) tools like Terraform.
17. A strong understanding of security best practices for Kubernetes deployments.
18. Grasp on setting up Network Architecture for distributed systems.

Must have:

1) Experience with managing Infrastructure on AWS/GCP or Azure

2) Managed Infrastructure on Kubernetes

                                               Sr. Data Engineer

Company Profile:

Bigfoot Retail Solutions [Shiprocket] is a logistics platform which connects Indian eCommerce SMBs with logistics players to enable end to end solutions.

Our innovative data backed platform drives logistics efficiency, helps reduce cost, increases sales throughput by reducing RTO and improves post order customer engagement and experience.

Our vision is to power all logistics for the direct commerce market in India

including first mile, linehaul, last mile, warehousing, cross border and O2O.

Position: Sr.Data Engineer

Team : Business Intelligence

Location: New Delhi

Job Description:

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key Responsibilities:

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Position Title: Embedded Software Developer (Linux Driver Development)

Experience: 4 - 10 Years

Mode of Hire: Permanent, Deployed at Client Location.

Work Location: Hyderabad

Notice Period: Max. 20 - 30 Days (Early Joiners will be preferable).

What we are looking for?

Must Have:

• Should have strong proficiency in C, C++ and Embedded Systems (embedded C)
• Should have 4+ years of experience in Linux Driver Development, Application development
• Excellent debugging skills at kernel and user space and exposure to different debugging tools
• High level understanding of ARM & RISC (Instructions) OR MB Processor and Assembly Programming

Good to Have:

• Any Driver development exposure in Multimedia, Exposure to any one of the Linux Kernel Framework (Display, Camera Drivers, HDMI, GPU, MIPI, DRM framework, V4L2, etc.)