Data Engineer

Strong Lead Product Designer/ Sr product designer/ Product design manager Profile

Mandatory (Experience 1): Must have a minimum 6+ years of hands-on Product Design experience with product companies

Mandatory (Experience 2): Must have experience leading a team or mentoring junior designers (not a pure people manager)

Mandatory (Design Craft): Strong design craft with deep expertise in UX, interaction design, design systems, prototyping, problem-solving, and user-centered workflows. Should be able to individually assess and elevate design quality.

Mandatory (Collaboration): Proven ability to collaborate closely with Product, Engineering, Research, and cross-functional teams. Must have driven design-led projects, influenced product roadmap, and balanced short-term and long-term design priorities.

Mandatory (Portfolio): Portfolio or team-led work showing shipped, real-world product impact, improved user journeys, solved UX breakage, and scaled design quality across multiple products/features.

Mandatory (Company) - Well funded / Top Product Companies

Mandatory (Note): CTC is not flexible, ESOP can be based on candidate current compensation structure

Mandatory (Role): This is mix role (Team management + Hands-on)\

Position: Lead Software Engineer 

Job Overview:

Lead ETL Engineer with SSIS (SQL Server Integration Services) knowledge is primarily responsible for designing, developing, and maintaining ETL (Extract, Transform, Load) workflows and data integration processes to support enterprise data solutions. 

Key Responsibilities and Duties  

Lead the software development team: 

• Lead a team of software engineers in designing, developing, and maintaining ETL Framework. 
• Set and communicate clear expectations for the clients regarding project timelines, quality standards, and deliverables. 
• Experience with Microsoft SQL Server Database, 
• Hands-on experience in writing, optimizing and maintaining complex SQL queries, stored procedures and functions. 
• Design and develop robust, scalable, and efficient database structures based on the organization's requirements. 

SSIS: 

• Design, develop, test, deploy, and maintain SSIS packages for data migration, ETL processes, reporting and to integrate data between various systems. 
• Develop complex SQL queries to extract data from various sources such as Oracle or SQL databases. 
• Troubleshoot issues related to package execution failures and optimize performance of existing packages. 
• Collaborate with stakeholders to understand business requirements and design solutions using SQL Server Integration Services (SSIS). 
• Work closely with the team to ensure timely delivery of projects. 
• Optimize existing integrations for improved performance and scalability. 
• Design and implement complex SSIS packages for extracting, transforming, and loading data from various sources such as relational databases (SQL Server, Oracle, DB2), flat files, and XML files. 
• Develop ETL best practices, including error handling, logging, checkpoints, and data quality assurance. 
• Write efficient SQL queries, stored procedures, functions, and triggers to support ETL processes. 
• Optimize SSIS packages and SQL queries for maximum performance using techniques such as parallelization, lookup caching, and bulk loading. 
• Create and maintain design documentation such as data models, mapping documents, data flow diagrams, and architecture diagrams. 
• Collaborate with business analysts, BI teams, and other stakeholders to understand requirements and deliver data solutions for reporting and analytics. 
• Schedule and monitor SSIS workflows using SQL Server Agent or other scheduling tools, ensuring timely and error-free data loads. 
• Troubleshoot, debug, and test SSIS packages and backend database processes to ensure data accuracy and system reliability. 
• Participate in resource planning, task estimation, and code review processes. 

Collaborate with cross-functional teams: 

• Work with other teams such as product management, quality assurance, and user experience to ensure that software applications meet business requirements and user needs. 
• Communicate effectively with team members and stakeholders. 

Stay up to date with emerging trends and technologies: 

• Keep up to date with emerging trends and technologies in the software development industry. 
• Make recommendations for improvements to existing software applications and processes. 

Mandatory skills 

SSIS, understanding of ETL Framework, able to design and implement SSIS 

Qualifications 

• Bachelor’s degree in computer science or related field. 
• 6-9 years of experience in software development. 
• Proven leadership experience in leading ETL teams. 
• Knowledge of software development methodologies such as Agile or Scrum. 
• Ability to mentor and train junior team members. 

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

Job Summary:

We are seeking an experienced and highly motivated Senior Python Developer to join our dynamic and growing engineering team. This role is ideal for a seasoned Python expert who thrives in a fast-paced, collaborative environment and has deep experience building scalable applications, working with cloud platforms, and automating infrastructure.

Key Responsibilities:

Develop and maintain scalable backend services and APIs using Python, with a strong emphasis on clean architecture and maintainable code.

Design and implement RESTful APIs using frameworks such as Flask or FastAPI, and integrate with relational databases using ORM tools like SQLAlchemy.

Work with major cloud platforms (AWS, GCP, or Oracle Cloud Infrastructure) using Python SDKs to build and deploy cloud-native applications.

Automate system and infrastructure tasks using tools like Ansible, Chef, or other configuration management solutions.

Implement and support Infrastructure as Code (IaC) using Terraform or cloud-native templating tools to manage resources effectively.

Work across both Linux and Windows environments, ensuring compatibility and stability across platforms.

Required Qualifications:

5+ years of professional experience in Python development, with a strong portfolio of backend/API projects.

Strong expertise in Flask, SQLAlchemy, and other Python-based frameworks and libraries.

Proficient in asynchronous programming and event-driven architecture using tools such as asyncio, Celery, or similar.

Solid understanding and hands-on experience with cloud platforms – AWS, Google Cloud Platform, or Oracle Cloud Infrastructure.

Experience using Python SDKs for cloud services to automate provisioning, deployment, or data workflows.

Practical knowledge of Linux and Windows environments, including system-level scripting and debugging.

Automation experience using tools such as Ansible, Chef, or equivalent configuration management systems.

Experience implementing and maintaining CI/CD pipelines with industry-standard tools.

Familiarity with Docker and container orchestration concepts (e.g., Kubernetes is a plus).

Hands-on experience with Terraform or equivalent infrastructure-as-code tools for managing cloud environments.

Excellent problem-solving skills, attention to detail, and a proactive mindset.

Strong communication skills and the ability to collaborate with diverse technical teams.

Preferred Qualifications (Nice to Have):

Experience with other Python frameworks (FastAPI, Django)

Knowledge of container orchestration tools like Kubernetes

Familiarity with monitoring tools like Prometheus, Grafana, or Datadog

Prior experience working in an Agile/Scrum environment

Contributions to open-source projects or technical blogs

We are seeking an experienced and innovative Product Manager to lead and expand our 

suite of digital manufacturing products. As a Product Manager, you will be responsible for 

managing and extending our product offerings, identifying new opportunities, and developing 

creative solutions to solve the unique challenges faced by Indian manufacturing SMEs and 

MSMEs. You will be expected to gain a deep understanding of factory floor processes and 

pain points to design effective solutions that modernize the manufacturing sector and cater 

to the needs of our diverse stakeholders.

• Exp - 7 -12 years
• Industry background (nice to have ) - manufacturing, supply chain or industrial automation
• Entrepreneurship, innovation

JOB DESCRIPTION

Job Title

Digital Marketing Executive

Department

Marketing

1.  Job PURPOSE:

Planning, developing, implementing and managing the overall digital marketing strategy. In addition, they are responsible for managing, guiding and training digital marketers and other marketing positions in the team.

2.  ROLES & RESPONSIBILITIES:

l Responsible for formulation and execution of the company’s Digital Marketing Strategy

l Creation and management of website

l Independently managing all digital marketing activities

l Set up and management of Linked in and twitter accounts

l Writing blogs and content on digital forum to ensure visibility

l Responsible to develop and implement the Online Marketing and Brand Positioning strategies

l Create key reporting and performance indicators based on business requirements

l Brand management on the digital forum

3.  EXPERIENCE REQUIRED:

     Overall :   3 - 5 yrs           

4.  TECHNICAL SKILLS:

Primary Skills

l  3+ years experience as a Digital Marketing Professional

l Understanding the importance of the Website

l Experience in Email marketing and carry it to the digital forum

l Social media marketing - visibility

l Experience in branding

l Must understand page optimization and off page optimization,

l Understand the value of Search engine optimization but as a complementary skill.

l Blog writing and Content generation

Secondary Skills

l Knowledge on Google certification and Google analytics, Google AdWords

l  Setting up tracking systems for marketing campaigns and online activities

l Experience in Website maintenance and press releases

l Latest marketing techniques

Desired Skills

l Experience in IT product based company

l Advanced web ranking

l Knowledge on Google webmaster, Keyword planner, Google trends

l Online Reputation Management

5. ABILTY

l Excellent Communication Skills

l Good conceptualization skills

l Excellent computer and web related skills

l Quick grasping skills

l Initiation

l Time management

l Dedication and ownership

6 .EDUCATIONAL QUALIFICATION :

Preference: MBA ( Marketing ), BBA

Age between 26 Year to 30 Years

What you need to have: