Product Analyst

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.

Job Title: Assistant Coordinator & CRM Executive

Location: Faridabad

Department: Operations / Customer Relations

Reports To: Director/MD

Job Overview:

We are seeking a dynamic and detail-oriented Assistant Coordinator & CRM Executive to join our team. The ideal candidate will be responsible for supporting day-to-day operational activities, ensuring smooth internal coordination, and managing customer interactions through our CRM system. This role requires strong communication skills, multitasking abilities, and a customer-first mindset.

Key Responsibilities:

Assistant Coordination:

Assist in organizing and coordinating daily operations, meetings, and schedules.

Liaise with different departments to ensure smooth workflow and timely task completion.

Prepare reports, presentations, and other documentation as required.

Follow up on project timelines, task completion, and departmental coordination.

Maintain proper filing, documentation, and tracking of internal communications.

Manage and maintain the company’s CRM database with up-to-date client information.

Handle incoming customer queries, issues, and feedback via calls, emails, and CRM tools.

Track customer interactions and ensure timely follow-up and resolution.

Generate CRM reports and assist in analyzing customer trends and insights.

Support marketing and sales campaigns through CRM-based communications.

Ensure data accuracy and assist in CRM automation processes.

Key Skills Required:

Strong written and verbal communication skills (English & Hindi preferred).

Hands-on experience with CRM platforms (e.g., Zoho, Salesforce, HubSpot) preferred.

Proficient in MS Office (Word, Excel, PowerPoint).

Excellent organizational and coordination skills.

Ability to multitask and prioritize effectively.

Attention to detail and a proactive problem-solving approach.

Educational Qualification:

Bachelor’s degree in Business Administration, Marketing, or a related field.

Experience:

1–3 years of experience in a similar role (Assistant, Coordinator, CRM Executive, or Admin Support).

Work Environment:

6-day working

Office-based role with coordination across departments and client-facing responsibilities.

- Design, Maintain, Support and Troubleshoot LDAP infrastructure spread across geographies and used for Authentication and authorization of critical applications/infrastructure.

- Design, Maintain, Support and Troubleshoot LDAP databases running on MySQL and Berkely DB.

- Design, Maintain, Support and Troubleshoot OpenSSL OR any other crypto suite.

• Should have experience in application architecture and design
• Proficiency with developing APIs in Python
• Proficiency with frontend web development (JavaScript, CSS, HTML)
• Should have 2-4 years’ experience in leading the team
• Experience object oriented programming (OOP) concepts using Python
• Experienced with full software development life-cycle, programming, database design and agile methodologies
• Experience in using Design Patterns such as MVC and frameworks such as Django, Flask
• Ability to successfully multi-task and prioritize work.

• Experience with developing applications with Angular (2+)
• Experience with Docker and Kubernetes
• Experience with SQL databases, especially PostgreSQL

• Good Communication Skills
• Behavioural:
• Good Leader
• Adaptable / Flexible

• Candidate will be a part of Product engineering global delivery team working as a Technical Lead, leading a team highly talented engineers.
• Candidate would be required (but not limited) to: 
• Team management, mentoring, prioritization of work
• Work with Architecture group for defining Product Roadmap
• Requirement gathering with stake holder for Product enhancement
• Designing, Developing, and documenting the solution
• Providing support for any application issue like performance, availability
• Contributing to actual development of user stories and features etc.

• Ensuring conformity to corporate security and compliance objectives.
• Identifying and implementing service improvement opportunities.
• Responsible for informing the ‘business impact’ of security within the team
• Promptly report security weakness or incidents to the Practice Managers/Leads

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs 

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.