
Responsibilities:
- Work with the client from the start of each project to ensure you understand the project scope and vision
- Oversee the beginning of each turn-key project, including details like permit submission and design evaluations
- Create the schedule for each project and match talent to the job
- Process change orders
- Collaborate with the architect and construction crew to ensure feasibility of each project
- Conduct meetings on-site with architect, client and construction crew.
- Prepare and submit project estimates to clients

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Role Overview:
Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).
You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.
Key Responsibilities:
● Design and implement scalable ML systems, from experimentation to deployment.
● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.
● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.
● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.
● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.
● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.
● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.
● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.
● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.
Required Qualifications:
● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.
● Proven experience with classical ML algorithms (e.g., regression, classification,
clustering, ensemble models).
● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)
and their integration into production workflows.
● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,
PyTorch, or equivalent.
● Solid background in statistics and the ability to apply statistical thinking to real-world
problems.
● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,
Pandas, AWS Glue, etc.).
● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,
Kubernetes) is a plus.
● Strong communication and leadership skills, with experience mentoring and guiding
junior team members.
● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.
● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related
field is preferred.
Preferred Qualifications:
● Experience deploying ML systems in microservices or event-driven architectures.
● Hands-on experience with vector databases, embeddings, and retrieval-augmented
generation (RAG) systems.
● Understanding of Responsible AI principles and practices.
Why Join Us?
● Lead the ML charter in a mission-driven company solving real-world challenges.
● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.
● Collaborate with a passionate and technically strong team in a high-impact environment.
● Competitive compensation, flexible working model, and ample growth opportunities.
QUALIFICATION REQUIRED: B. Tech/B.E. in CS or IT or any related degree in computer programming
EXPERIENCE REQUIRED: 4+ years EMPLOYMENT TYPE:
Full-Time ROLES AND RESPONSIBILITIES:
- Implement product features that are secure, scalable, robust and easy to implement and maintain.
- Work independently within self-organizing Agile teams
- Development and Implementation of web applications
- Plan and identify solutions and risks in assigned work.
- Be responsible for implementing features, provide bug fixes, reviewing code quality to ensure they work well at cloud scale.
- Take pride of ownership in code and product features delivered.
Skills:
Must Have Skills
Angular 8+ ,NoSQL, Mongodb and Javascript
Expertise on the Microsoft technology stack .Net, C# and REST APIs (.net framework 4.5+) SQL Server & DB semantics. (Couchbase will be a plus) OAuth standard /Bitbucket and Azure Strong experience in deployment of solution on cloud
Good to Have Skills
Good communication skills.(life science exp is a plus)
Good understanding of project architecture and software development Knowledge of design user friendly interface processes.
Good knowledge of Client-side scripting – JavaScript and JQuery, AngularJS. Ability to deliver software and artifacts independently
Exposure to Big Data and cloud environment
COMPETENCIES:
Communicating with Influence : Strong interpersonal skills, with an ability to do client interactions
Analysis & Problem solving : Capitalizes on opportunities to pursue value. Brings issues out in open so that all concern can address and find solution
Working in Partnerships/ team player : Building professional relationships with members of the client team
Professional Expertise Development : Has an open and learning mindset. Adapts to new learning approaches and methods
Job Description:
An Azure Data Engineer is responsible for designing, implementing, and maintaining pipelines and ETL/ ELT flow solutions on the Azure cloud platform. This role requires a strong understanding of migration database technologies and the ability to deploy and manage database solutions in the Azure cloud environment.
Key Skills:
· Min. 3+ years of Experience with data modeling, data warehousing, and building ETL pipelines.
· Must have a firm knowledge of SQL, NoSQL, SSIS SSRS, and ETL/ELT Concepts.
· Should have hands-on experience in Databricks, ADF (Azure Data Factory), ADLS, Cosmos DB.
· Excel in the design, creation, and management of very large datasets
· Detailed knowledge of cloud-based data warehouses, architecture, infrastructure components, ETL, and reporting analytics tools and environments.
· Skilled with writing, tuning, and troubleshooting SQL queries
· Experience with Big Data technologies such as Data storage, Data mining, Data analytics, and Data visualization.
· Should be familiar with programming and should be able to write and debug the code in any of the programming languages like Node, Python, C#, .Net, Java.
Technical Expertise and Familiarity:
- Cloud Technologies: Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)
- Database: CosmosDB, Document DB
- IDEs: Visual Studio, VS Code, MS SQL Server
- Data Modelling,ELT, ETL Methodology
Dropwizard or Springboot like technology
Algorithms and Data structures .
- Order Management Support (Req 3)
Must have skills:
Should have experience as End user in SCM
Expertise in Supply Chain Management (SCM) Oracle preferred
Experience in Order Management
- 3 Point Role Definition
- Data validating and entry
- Return Material Authorization (RMA) processing
- Create internal sales orders, requisitions, ship orders and receipts
- Inventory variance resolution / reconciliation
- Resolve shipping and billing issues
- Systems Access Needed
- Oracle
- SalesForce
- JIRA
Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories and consumers, enabling preventive and predictive healthcare. It helps the care-givers to track the entire patient journey from the initial appointment and maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen doctor-patient relationship and enhance the in-clinic experience.
What you will do:
- Providing actionable overall market and customer insights to address key strategic questions
- Building user cohorts, engagement plans using different communication channels
- Tracking and reporting the key metrics related to engagement and retention for each cohort
- Evaluating customers’ online behavior and providing insights and recommendations for further enhancements to the guest experience
- Analyzing A/B and multivariate tests, communicating results and providing recommendations
- Creating PowerPoint presentations to provide market and consumer insights to other marketing and sales departments
Desired Candidate Profile
What you need to have:- 3+ years of overall experience in marketing (Must have worked either in Ecommerce, Edtech, Healthtech, Fintech or any other B2C app based company)
- 2+ years of experience in engagement & retention domain
- 1+ year experience of working on engagement & retention tools like WebEngage/ MoEngage/ CleverTap is a big plus
- Excellent analytical skills and a high degree of business acumen
- Strong organizational, communication and presentation skills
- Proven ability in handling concurrent projects with attention to detail and accuracy
- Understanding of Google Analytics and AppsFlyer (Mixpanel knowledge is a big plus)
Job Description:
- Have good working knowledge on .Net, Asp.net, C#, MVC, Angular JS, Web (ASP.NET, JQuery, JavaScript), LINQ, HTML, CSS) dot net Core but not mandatory
- Strong MS SQL and ability to write procedure and SQL functions and queries.
- Keen to learn new technologies like Artificial Intelligence, Machine Learning.(Good to have enthu)
- Working exposure to Test, Link, JIRA, GIT, Jenkins, Visual Studio 2015 or later, OOPs concepts, Cloud concepts.
- Should have availability and flexibility to work collaboratively in a team.
- Strong Communication Skills
- Proven Track Record in being able to work independently and in team.
- Should be having experience on NET technologies VB.NET, ASP.NET, C#, ADO.NET, MSSQL, MVC, Web Services, WCF, entity framework WPF, WF and other .NET frameworks, SQL Server
Roles & Responsibilities:
- Expected to spend 80% of the time on hands-on development, design and remaining 20% on guiding on technology and resolving other impediments
- Translate detailed business requirements into optimal databases and solutions.
- Collaborate well with other developers, leads and data implementation specialists to design and create advanced, elegant and efficient products
- Significant knowledge of PL/SQL including tuning, triggers, and stored procedures
- Prepare and package scripts and code across development, test and QA environments
- Participate in change control planning for production deployments (assisting leads)
- Performs requirements gathering and analysis on projects (Participation)
- Addresses any requirements changes, improvements or project deliverable issues
- Web development using PHP & experience in coding on MVC architecture of Laravel
- REST API knowledge is a must with oAuth security
- Understanding of mobile apps with REST API integration, firebase & google analytics is important
- Need to have knowledge of querying MySQL & NoSQL databases like MongoDB
- Experience with Node Js for our notification system
- Understanding of cloud services like Google cloud & AWS ec2 instance is a bonus for the profile
1. Creating the web app using React.js majorly. It includes login, database connectivity with MongoDB, search functionality, session management etc.
2. Thorough knowledge of React.js and frontend web dev.
3. Ability to work very fast and be independent.








