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We are Hiring for Sales Engineer / Sr Sales Manager for a leading construction equipment manufacturing company

Locations : Mumbai / Pune / Delhi / Gurugram

Job Requirement

Good experience in selling Construction / Fire Safety / Elevator / Lift / Escalator manufacturing company

Develop and execute strategies to achieve sales targets for equipment and elevator systems.

Conduct technical presentations and product demonstrations for prospective and existing clients.

Provide detailed technical and application advice to customers on equipment and elevator solutions.

Identify and assess customer needs through site visits, consultations, and discussions.

Prepare and deliver proposals, quotations, and technical documentation.

Maintain and build relationships with key clients, ensuring high levels of customer satisfaction and retention.

Oversee the technical aspects of sales projects from inception to completion, ensuring all specifications and requirements are met.

Collaborate with engineering and installation teams to ensure successful project delivery.

Address and resolve technical issues that arise during the sales process or order finalization.

Monitor and analyse market trends, competitor activities, and customer feedback to identify opportunities and threats. Provide insights and recommendations to enhance product offerings and sales strategies.

Maintain records of sales activities, customer interactions, and project status in the CRM system.

Prepare regular sales reports, forecasts, and performance metrics for management review.

Qualifications :

Bachelor's degree B.E. / Diploma (Mechanical)

Skills

• 2-10 years of proven experience as a sales or in a similar role in Construction / Fire Safety / Elevator / Lift / Escalator manufacturing company
• Strong written and verbal communication skills.
• Strong technical knowledge of equipment and elevator systems.
• Excellent communication and presentation skills.
• Time management and ability to meet deadlines
• Proficiency in CRM software and Microsoft Office Suite (Excel, Word, PowerPoint).
• Ability to work independently and manage time effectively in a field-based role.
• Valid driver’s license and willingness to travel as required.
• Strong problem-solving skills and a customer-focused approach.

Position: Full-Stack Developer – React / C# / Python / SQL

Location: Mumbai / Pune

Experience: 6–8 Years

Employment Type: Full-time

About the Role

We are looking for a versatile Full-Stack Developer who has working experience in React, C# or Python, and SQL. The candidate doesn’t need to be an expert in all these technologies but should be comfortable taking end-to-end ownership of features with the support of modern AI tools.

Key Responsibilities

• Develop, test, and maintain scalable frontend applications using React.
• Build and integrate backend services using C# (.NET) or Python.
• Write and optimize SQL queries, procedures, and data models.
• Work closely with product and design teams to deliver high-quality features.
• Use AI-assisted development tools (like GitHub Copilot / ChatGPT) to speed up coding, debugging, documentation, and solution design.
• Participate in code reviews, troubleshooting, and performance improvements.
• Ensure best practices in code quality, security, and deployment.

Required Skill Set

• Frontend

React.js (Hooks, components, state management, API integration)

• Backend (any one or both)

C# (.NET Core)

Python (FastAPI / Django / Flask)

• Database

SQL (MySQL / PostgreSQL / MSSQL)

Experience writing queries, joins, stored procedures, and handling schemas

Good to Have

• REST API development
• Basic DevOps understanding (CI/CD, version control – Git)
• Familiarity with cloud platforms (AWS/Azure/GCP)
• Ability to learn quickly with AI tools and follow best practices
• Problem-solving and ownership mindset

What We Are Looking For

• Someone who can handle full-stack tasks with confidence
• Not necessary to be an expert in everything
• Curious, adaptable, and open to using AI tools to deliver faster
• Strong communication skills and team collaboration

Position - Senior Business Analyst

Experience Required: 8+ Years

Role Overview

We are looking for an experienced Senior Business Analyst with strong expertise in the Funds domain (Asset Management / Fund Accounting / Private Equity / Hedge Funds). The ideal candidate will have hands-on experience across the investment lifecycle, NAV calculation, and fund operations, and will work closely with stakeholders, product teams, and technology teams to deliver scalable solutions for fund accounting and investment management platforms. This role requires a strong blend of domain knowledge, business analysis skills, and system implementation experience.

Key Responsibilities

• Gather, analyze, and document business and functional requirements related to fund accounting and investment operations
• Collaborate with Front Office, Middle Office, Back Office, and technology teams
• Translate business requirements into BRDs, FSDs, user stories, and data mapping documents
• Perform gap analysis, impact analysis, and support solution design for fund platforms
• Work across the end-to-end investment lifecycle: trade capture → settlement → reconciliation → NAV → reporting
• Participate in UAT planning, execution, defect tracking, and stakeholder sign-offs
• Support system implementations, upgrades, or migrations (e.g., fund accounting platforms)
• Drive process improvements, automation, and control enhancements in fund operations
• Ensure compliance with regulatory and financial reporting requirements
• Communicate effectively with global stakeholders and clients

Required Skills & Qualifications

• 8+ years of experience as a Business Analyst in Asset Management / Fund Accounting / Capital Markets domain
• Strong understanding of:
• Fund Accounting & NAV calculation
• Hedge Funds / Mutual Funds / Private Equity structures
• Trade lifecycle and investment operations
• Hands-on experience in:
• Requirement gathering, BRD / FSD documentation
• UAT coordination and stakeholder management
• Agile/Scrum methodologies (JIRA, Confluence, Azure DevOps)
• Strong analytical, problem-solving, and communication skills
• Experience working with global clients / stakeholders

Good to Have

• Experience with fund accounting platforms such as:
• Investran, Multifonds, Eagle, SimCorp, Aladdin, Geneva, Neoxam
• Knowledge of:
• Private Equity concepts (Waterfall, Capital Calls, Carried Interest, LPA)
• Financial instruments (Equities, Fixed Income, Derivatives)
• Reconciliation, corporate actions, pricing
• Exposure to data analysis tools (SQL, Power BI, Tableau)
• Experience in system implementations, data migration, or transformation programs

Key Competencies

• Strong domain expertise in funds and investment management
• Ability to translate complex financial requirements into clear functional solutions
• Excellent stakeholder management and communication skills
• High attention to detail and ownership mindset
• Ability to manage multiple priorities in a fast-paced environment

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.

Position: Sr executive

Dept: Pre sales

Salary Bracket: 40 - 50k

Key Responsibilities:

• Act as the first point of contact for incoming customer leads and inquiries.
• Conduct product presentations, site walkthroughs, and client meetings.
• Understand customer needs and tailor solutions accordingly.
• Coordinate with the sales and marketing teams to ensure seamless lead handovers.
• Maintain updated records of client interactions and follow-ups in CRM.
• Represent the brand professionally and uphold service excellence at all times.
• Participate in events, exhibitions, and site activations when required.

Key Responsibilities

• Identify and develop new business opportunities across target industries and

customer segments.

• Promote and sell lubrication system solutions including:

o Grease systems: Dual Line, Progressive, Multiline, Spray

o Oil systems: Pre-Jacking, HP-LP Systems, Circulating Systems

• Achieve or exceed monthly and annual sales targets across assigned territories.

• Develop and maintain strong relationships with OEMs, end-users, EPCs, and

government entities.

• Manage channel sales network by appointing, training, and supporting dealers and

sub-dealers across India.

• Participate in government tendering processes, including GeM portal-based

opportunities.

• Collaborate with internal teams (engineering, service, logistics) to ensure seamless

customer experience.

• Conduct product presentations, site visits, and customer meetings to demonstrate

value and drive engagement.

• Provide regular sales forecasts, market intelligence, and competitor analysis.

• Ensure timely collection of payments from direct customers and channel partners.

• Represent the company at industry events, expos, and exhibitions as required.

Devops Engineer(Permanent)

Experience: 8 to 12 yrs

Location: Remote for 2-3 months (Any Mastek Location- Chennai/Mumbai/Pune/Noida/Gurgaon/Ahmedabad/Bangalore)

Max Salary = 28 LPA (including 10% variable)

Notice Period: Immediate/ max 10days

Mandatory Skills: Either Splunk/Datadog, Gitlab, Retail Domain

· Bachelor’s degree in Computer Science/Information Technology, or in a related technical field or equivalent technology experience.

· 10+ years’ experience in software development

· 8+ years of experience in DevOps

· Mandatory Skills: Either Splunk/Datadog,Gitalb,EKS,Retail domain experience

· Experience with the following Cloud Native tools: Git, Jenkins, Grafana, Prometheus, Ansible, Artifactory, Vault, Splunk, Consul, Terraform, Kubernetes

· Working knowledge of Containers, i.e., Docker Kubernetes, ideally with experience transitioning an organization through its adoption

· Demonstrable experience with configuration, orchestration, and automation tools such as Jenkins, Puppet, Ansible, Maven, and Ant to provide full stack integration

· Strong working knowledge of enterprise platforms, tools and principles including Web Services, Load Balancers, Shell Scripting, Authentication, IT Security, and Performance Tuning

· Demonstrated understanding of system resiliency, redundancy, failovers, and disaster recovery

· Experience working with a variety of vendor APIs including cloud, physical and logical infrastructure devices

· Strong working knowledge of Cloud offerings & Cloud DevOps Services (EC2, ECS, IAM, Lambda, Cloud services, AWS CodeBuild, CodeDeploy, Code Pipeline etc or Azure DevOps, API management, PaaS)

· Experience managing and deploying Infrastructure as Code, using tools like Terraform Helm charts etc.

· Manage and maintain standards for Devops tools used by the team

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

• You write high quality, maintainable, and robust code, often in Java or C++/C/Python/ROR/C#
• You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.