
Our client is an IoT-enabled startup that helps businesses optimize and digitize their logistics operations. It is effectively streamlining a highly unorganized logistics space with a blend of cost-effective hardware and intelligent software and analytics.
Some of India’s renowned brands like Myntra, Flipkart, Philips, Xiaomi and others have used this innovative SaaS platform to successfully eliminate uncertainties in their supply chain.
Founded by a team of IIT Kharagpur dropouts, this Bengaluru-based location intelligence company has raised funding from angel investors of IP Ventures. It has over 100 customers and has already tracked lakhs of trips.
This platform is disrupting the supply chain & logistics operations of businesses which is heavily reliant on manual methods.
As a Enterprise Account Manager, you will be responsible for building long-term relationships with our enterprise customers.
What you will do:
- Helping customers through email, phone, online presentations, screen-share and in-person meetings
- Ensuring the timely and successful delivery of our solutions according to customer needs and objectives
- Upselling company's new products to the clients and increasing the average revenue per client
- Travelling to the clients' location and understanding their day-to-day logistics problems and designing a solution around the same
- Coordinating with the clients, product team for the constant development of new products
Desired Candidate Profile
What you need to have:- Proven account management or other relevant experience
- Demonstrated ability to communicate, present and influence credibly and effectively at all levels of the organization, including executive and C-level
- Experience in delivering client-focused solutions based on customer needs
- Excellent verbal and written communications skills
- Critical thinking and problem-solving skills
- Ability to prioritize among competing tasks
- Experience in the Logistics Industry would be preferred

Similar jobs
Review Criteria
- Strong Senior Data Scientist (AI/ML/GenAI) Profile
- 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
- Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
- Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows
Preferred
- Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
- Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Job Specific Criteria
- CV Attachment is mandatory
- Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
- Are you okay with 3 Days WFO?
- Virtual Interview requires video to be on, are you okay with it?
Role & Responsibilities
Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.
Responsibilities:
- Own the full ML lifecycle: model design, training, evaluation, deployment
- Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
- Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
- Build agentic workflows for reasoning, planning, and decision-making
- Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
- Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
- Collaborate with product and engineering teams to integrate AI models into business applications
- Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices
Ideal Candidate
- 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
- Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
- Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
- Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
- Strong software engineering background with experience in testing, version control, and APIs
- Proven ability to balance innovation with scalable deployment
- B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
- Bonus: Open-source contributions, GenAI research, or applied systems at scale
Job Title: Senior Data Scientist
Location: Pune
Job Type: Full-Time
About TVARIT
TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc.
With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe.
We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.
About the Role
We are looking for a highly skilled and motivated Senior Data Scientist who is passionate about solving complex data problems and developing cutting-edge solutions. This role requires someone with a strong technical background in data science, with full-stack development exposure from requirement gathering to solution deployment. The ideal candidate will be comfortable working as an individual contributor and as an active team member.
Key Responsibilities
· Translate business challenges into ML solutions by understanding customer needs and the broader context.
· Perform exploratory data analysis (EDA) and feature engineering on large-scale datasets.
· Write clean, efficient, and maintainable Python code for data processing, modeling, and analysis, following MLOps best practices.
· Build, optimize, deploy, and monitor scalable machine learning models and pipelines on cloud platforms (Azure preferred; AWS/GCP is a plus)
· Actively participate in code reviews, technical discussions, and knowledge-sharing sessions to drive innovation and best practices.
· Lead client discussions and present actionable insights and recommendations to stakeholders effectively.
· Mentor junior data scientists, providing guidance on model development, best practices, and technical problem-solving.
Qualifications
· Bachelor’s or master's degree in Metallurgy, mechanical, IT, Computer, or a related field from IIT, NIT, or top university.
· 4+ years of experience in data science and machine learning.
· Experience in the metal industry, manufacturing industry, or similar industry exposure
Technical Skills
· Strong Python programming skills with experience in libraries like Pandas, Scikit-learn, TensorFlow, or PyTorch.
· Strong foundation in ML & AI, covering statistical analysis, time series forecasting, deep learning, and optimization, with expertise in ML techniques like Random Forest, Gradient Boosting, Neural Networks, SVM, Clustering, PCA, Reinforcement Learning and and optimization algorithms.
· Proficiency in cloud platforms such as Azure [Preferred], AWS, or GCP.
· Good to have experience with real-time AI model deployment in industrial environments [On-premises, cloud or edge]
· Familiar with SQL and NoSQL databases.
· Understanding of MLOps, including model versioning, monitoring, and deployment.
· Good to have knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI is plus
· Strong analytical and problem-solving skills with a structured approach to debugging and optimization.
· Effective communicator and team collaborator in agile, fast-paced environments.
· Ability to work in a fast-paced, agile environment and adapt to changing priorities.
Key Responsibilities
Reporting & Analytics Development
• Design, develop, and maintain complex reporting solutions serving mission-critical emergency
response operations
• Build interactive dashboards and data visualizations that transform large datasets into
actionable insights
• Develop advanced analytics features including trend analysis, predictive metrics, and
operational intelligence
• Create self-service reporting capabilities enabling stakeholders to access critical data
independently
• Implement real-time and scheduled reporting systems with appropriate caching and
optimization strategies
SQL & Database Architecture
• Write and optimize complex SQL queries involving multiple joins, subqueries, CTEs, window
functions, and aggregations
• Review existing database architectures and identify performance bottlenecks and optimization
opportunities
• Design and implement database schema enhancements to support evolving reporting
requirements
• Develop and maintain stored procedures, functions, and views optimized for reporting
workloads
• Perform comprehensive query performance analysis and implement tuning strategies across
PostgreSQL and AWS Aurora environments
• Create efficient indexing strategies and data access patterns for large-scale datasets
• Establish data modeling best practices for dimensional and transactional reporting needs
Performance Optimization
• Conduct systematic performance analysis of reporting queries processing millions of records
• Implement query optimization techniques including execution plan analysis, index tuning, and
query refactoring
• Design and implement data aggregation strategies, materialized views, and summary tables for
improved performance
• Monitor and optimize database performance metrics including query response times, resource
utilization, and concurrency
• Develop ETL processes and data pipelines optimized for reporting and analytics workloads
• Implement caching strategies and data archival policies to maintain optimal system
performance
Technical Collaboration
• Partner with Product and stakeholder teams to translate business reporting requirements into
technical solutions
• Conduct code reviews focused on SQL quality, performance, and best practices
• Provide technical guidance to development teams on reporting architecture and database
optimization
• Document database schemas, reporting architectures, and optimization strategies
• Collaborate with DevOps on database infrastructure, monitoring, and scaling initiatives
Required Qualifications
Experience & Background
• 8+ years of software engineering experience with significant focus on reporting, analytics, or
business intelligence
• 5+ years of hands-on experience writing complex SQL in production environments
• 3+ years working with large-scale databases (millions+ records) and optimizing query
performance
• Proven track record developing enterprise reporting solutions and analytics platforms
• Experience conducting database architecture reviews and implementing performance
improvements
Technical Expertise - SQL & Databases
• Expert-level SQL proficiency including complex joins, subqueries, CTEs, window functions, and
advanced aggregations
• Deep PostgreSQL expertise with production experience in query optimization and performance
tuning
• Strong understanding of database internals including execution plans, indexing strategies, and
query optimization
• Experience with AWS Aurora or other cloud-based PostgreSQL solutions
• Proficiency in stored procedures, triggers, functions, and database programming
• Advanced knowledge of database design principles, normalization, and dimensional modeling
• Experience with database performance monitoring and profiling tools
• Strong programming skills in PHP (Yii framework or similar MVC frameworks preferred)
• Solid experience with Vue.js or similar modern JavaScript frameworks for building reporting
interfaces
What You'll Work With
• Databases: PostgreSQL, AWS Aurora, multi-tenant architectures
• Backend: PHP (Yii framework), RESTful APIs
• Frontend: Vue.js (Vue 2/3), modern JavaScript, data visualization libraries
• Infrastructure: AWS (RDS, Aurora, S3, Lambda), Postgres
• Tools: Git/GitHub, JIRA, Agile development workflows
Work Location
Hyderabad, India - On-site position with flexible working arrangements to accommodate both India
and onsite teams
Job Profile: Business Development Manager
Industry Type: IT Software
Job Location: Delhi NCR
Qualification Required: MBA in Sales & Marketing (good to have)
Experience: 2-5 Years
Responsibilities
- Develop new business opportunities for sales & marketing of ERP and other software solutions offered by the organization.
- Experience in selling ERP Software into Pharma/Chemical, Plastic Manufacturing, FMCG and So on verticals of process manufacturing industry
- To be involved in the entire sales process right from identifying the prospect and target market to closing the deal and maintaining relationship with the client and Engage in proactive sales activities to convert suspects into prospects and further convert prospects to proposals
- Responsible for expanding the Client base in market for the ERP & CRM Services
- Present the product demo and elaborately describe the introduction, benefits & features of the same.
- Ensure client satisfaction and retention through regular meetings with key clients
- Meet, cold calls, Send Emails, linked contacts to the shortlisted leads by the company
- Stays current with industry and competitive research and information to enable rich client dialogue; maintains an understanding of client business challenges, industry trends and markets.
Desired Candidate Profile
- Experience of Marketing Management and outbound B2B sales, coupled with MBA (Sales & Marketing) qualification and a track record of success in ERP /Software Solution Sales
- Candidates should be able to build relationship with corporate customers , understand the technical requirement of customer
- Team oriented person, should possess excellent verbal & written communication and presentation skills and an expert in understanding the customer requirement.
- Must be able to achieve overall sales target & servicing clients with the objective of increasing the market share of the company.
- Willing to travel extensively all over India.
- Candidate should have an excellent track record of achieving deadlines on time and ability to meet and exceed revenue targets.
Preferred
- ERP, CRM and Cloud Experience and Internet Promotions and Sales
- Candidate with technical (IT Software) knowledge would be preferable
Job Summary:
We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.
Key Responsibilities:
- Assist in the design, development, and maintenance of scalable and efficient data pipelines.
- Write clean, maintainable, and performance-optimized SQL queries.
- Develop data transformation scripts and automation using Python.
- Support data ingestion processes from various internal and external sources.
- Monitor data pipeline performance and help troubleshoot issues.
- Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
- Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
- Document technical processes and pipeline architecture.
Core Skills Required:
- Proficiency in SQL (data querying, joins, aggregations, performance tuning).
- Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
- Exposure to ETL/ELT pipelines and data workflow orchestration tools (e.g., Airflow, Prefect, Luigi – preferred).
- Understanding of relational databases and data warehouse concepts.
- Familiarity with version control systems like Git.
Preferred Qualifications:
- Experience with cloud data services (AWS S3, Redshift, Azure Data Lake, etc.)
- Familiarity with data modeling and data integration concepts.
- Basic knowledge of CI/CD practices for data pipelines.
- Bachelor’s degree in Computer Science, Engineering, or related field.
Job Title: Senior Backend Developer
Location: Mali mahajan road, somwar peth, Pune.
Experience: 5-7 years
Responsibilities:
Backend Development:
- Design, develop, and maintain scalable and high-performance backend systems.
- Utilize AWS Serverless skills (API Gateway, Lambda, DynamoDB, SQS, Event bridge, CloudWatch, permissions, accounts, multi accounts, streams
Technology Stack:
- Proficiency in JavaScript, Node.js, and Typescript for backend development.
- Leverage AWS services to build serverless applications with a focus on efficiency, security, and reliability.
E-commerce Expertise:
- Bring experience in e-commerce projects, with additional consideration for knowledge of Commerce tools.
Communication Skills:
- Communicate effectively with stakeholders across the US, UK, and Australia.
- Collaborate with cross-functional teams to understand requirements and provide technical insights.
Project Collaboration:
- Work closely with front-end developers, QA engineers, and other team members to deliver end-to-end solutions.
Requirements:
- Bachelor’s degree in Computer Science or a related field.
- 5-7 years of backend development experience.
- Strong proficiency in AWS Serverless technologies.
- Expertise in JavaScript, Node.js, and Typescript.
- Experience with e-commerce projects, particularly Commercetools, is an advantage.
- Excellent communication skills to engage with international stakeholders.
Role
To us, a Technical Interviewer is a go-to person for technical interviews for any technology. This means that your duties will involve conducting technical interview rounds of candidates having a technical background of any kind.
The job of a Technical Interviewer is important to business success. Hiring the right talent is our most critical point and a vital aspect of a complete Technical Interviewer’s job description and specification.
Responsibilities
- Own full technical recruitment process including interviews, feedback, and building talent pipelines
- Identify the right talent for the organization
- Train and mentor new and existing interviewers
- Identify the gaps in the interview process and work on solutions
- Maintain a healthy candidate experience and build the employer brand
- To be up to date with new technologies
- Participate in various coding and technology-related challenges to gain knowledge
- Nurture a positive working environment
- Have a strong sense of ownership for assigned tasks and a willingness to go the extra mile when needed
- Is an effective communicator who can establish rapport with people at all levels
Qualifications
- Bachelor's Degree in BSc/BE/BTech in Computer Science, Engineering, or a related field
- General programming skills in languages like Java, Javascript, Ruby or equivalent.
- Proven working experience in the same profession or as a trainer
- People-oriented and results-driven
- The ability to work as part of a team
- Strong analytical and problem-solving skills
- Excellent administrative and organizational skills
- Effective communication skills
- Proven hands-on Software Development experience
Requirements:
• Installing and configuring software, hardware and networks. •Administrate infrastructure, including firewalls, databases, malware protection software and other processes
•Provide technical support for hardware/software issues and resolve help desk requests
•Monitor the system daily and respond immediately to security or usability concerns.
•Upgrade systems with new releases and models and ensuring security and efficiency of IT infrastructure.
•Constant finetuning of the OS for improving the performance of the system.
•Coordinating with OEM support teams in case of any dockets raised and ensure the issues are resolved.
•Provisioning Operational support and troubleshooting the issues related to system administration.
•Perform in 24 x 7 environment in shift roaster and attend calls whenever assigned
•Must be Red Hat certified professional.
Skills Required:
•Red Hat (Primary)
•Debian
•Ubuntu
•SUSE
• ReactJS, Service Workers, RestAPIs, Web Pack, React Hooks, State Management
• Completely Amazon Web Services (AWS) Cloud Environment (S3, API Gateway, CloudFront, AWS Lambda) with a strong focus towards Serverless
• Experience developing native applications for Android and iOS
• Experience in microservices
• Previous experience as a scrum master
• Experience with Terraform
• Experience in GraphQL
Skills & Qualifications: -
➢ 03 – 08 years of experience / proficiency in JavaScript and Python
➢ Experience in ReactJS and Redux, ES6, React Native
➢ Jest / experience in writing tests and test-driven development (Jest or Enzyme)
➢ Experience with AWS Lambda, DynamoDB and development of serverless applications
➢ Familiarity with Git and CI
➢ Familiar with DevOps processes, tools and processes (Cloud formation, Code Pipeline, Jenkins)
➢ Familiar with release pipeline on Android and iOS.
- Dusting & Cleaning duties
- Handling Printing & Stationery department
- Managing filing system.
- Recording information as needed.
- Greeting clients and visitors as needed.
- Updating paperwork, maintaining documents and word processing.
- Helping organize and maintain office common areas.
- Performing general office clerk duties and errands.
- Banking deposits
- Coordinating events as necessary.
- Maintaining supply inventory.
- Maintaining office equipment as needed.
- Manage house keeping department
- Hospitality ( Serving refreshments )
- pick up & drop of Courier
- Stocking & inventory management










