Front office staff

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.

We are looking for an exceptionally talented Lead data engineer who has exposure in implementing AWS services to build data pipelines, api integration and designing data warehouse. Candidate with both hands-on and leadership capabilities will be ideal for this position.

Qualification: At least a bachelor’s degree in Science, Engineering, Applied Mathematics. Preferred Masters degree

Job Responsibilities:

• Total 6+ years of experience as a Data Engineer and 2+ years of experience in managing a team

• Have minimum 3 years of AWS Cloud experience.

• Well versed in languages such as Python, PySpark, SQL, NodeJS etc

• Has extensive experience in the real-timeSpark ecosystem and has worked on both real time and batch processing

• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.

• Experience with modern Database systems such as Redshift, Presto, Hive etc.

• Worked on building data lakes in the past on S3 or Apache Hudi

• Solid understanding of Data Warehousing Concepts

• Good to have experience on tools such as Kafka or Kinesis

• Good to have AWS Developer Associate or Solutions Architect Associate Certification

• Have experience in managing a team

A) Skills Required

Essential Skills (Two top

skills)

3 possible combinations.

1. Candidate having expertise in both ElasticSearch and Kafka, preferably.

OR

2. Candidate having expertise in ElasticSearch and willing to learn Kafka.

OR

3. Candidate having expertise in Kafka and willing to learn ElasticSearch.

B) Other Information

Educational Qualifications Graduate

Experience Mid-Level (6+ years)

Minimum Qualifications:

ElasticSearch/OpenSearch

· Software Lifecycle/programing skills

· Linux

· Python

· Ingestion tools (logstash, OpenSearch Ingestion, Fluentd, fluentbit, Harness,

CloudFormation, container, images, ECS, lambda).

· SQL query

· Json

· AWS knowledge

Kafka/MSK

· Linux

· In-depth understanding of Kafka broker configurations, zookeepers, and

connectors

· Understand Kafka topic design and creation.

· Good knowledge in replication and high availability for Kafka system

· Good understanding of producers and consumer group

· Understanding Kafka partitions and scaling up

· Kafka latency/lag and throughput

· Integrating Kafka connect with various data sources can be internal or external.

· Kafka security using SSL/Certs

JD for APPS DBA. – Years of Exp 6-8 

Job Description:

• Should support R12.2, Cloning, Patching, ADOP, Shared appl top, SSL/TLS.
• WebLogic, OAM, OIM, registration
• Experienced with Oracle RAC, supporting multi tenant architecture, CDB, PDB
• Installation and Upgrade of Application and Database
• Performance tuning at Apps, DB level,
• Troubleshooting skills, identifying root cause analysis
• Supporting other oracle and 3rd party technologies, from start, stop and basic maintenance, OBIEE, OBI, SOA services
• Oracle Certification
• Database RMAN backups, restores and recoveries
• OEM monitoring, identifying performance issues.
• Unix, Linux basic support, shell scripting.
• Preferable to have knowledge in OCI.

Job Title

Sales Coordinator

Department : Sales

1.       Job PURPOSE:

Planning, developing, implementing and managing the overall sales strategy. This position reports to the Sales Manager

2.       ROLES & RESPONSIBILITIES:

l  Understand the business and the potential                                      

l Analyzing market and sales information                                            

l Identification of prospective clients.                                                  

l Set up a Brand identification strategy and execution plan                                      

l Research competitive products by identifying and evaluating product characteristics, market share, pricing, and maintaining research databases.           

l Set and track sales targets for team                                       

l Suggest and implement improvements in the sales administration process         

l Coordinate department projects to meet deadlines                                                

l Use customer feedback to generate ideas about new features or products                    

l Research and discover methods to increase customer engagement                                  

l Ensure sales, finance and legal policies and procedures are met                           

l Liaise with Marketing and Product Development departments to ensure brand consistency and increase sales                                                           

3.       EXPERIENCE REQUIRED:

Overall :   4 - 6 yrs

4.  TECHNICAL SKILLS:

l The candidate should have experience in the preparation and execution of a sales strategy.

l In depth Understanding of sales process

l Sales Matrix

l B2B Product Sales experience is mandatory

l Experience in Salesforce and or other CRM tool

l Client Engagement

l Campaign management and active followup experience is must.

l Sales Techniques    

5. ABILTY

l Excellent Communication Skills                                               

l Conceptual Skill                                     

l Analytical Ability                                               

l Solution Oriented                                              

l Ownership of tasks

6. EDUCATIONAL QUALIFICATION:

Preference: MBA –Marketing ( tier 1 or 2 college)

                      BA, B.Com, BBM, Non tech is preferred

Age: between 28 to 32 Years

• Creates marketing and social media campaigns and strategies, including budget planning, content ideation, and implementation schedules
• Understanding of SEO and web traffic metric
• Social Media Strategist using social media for brand awareness and impressions
• Excellent knowledge of Facebook, Twitter, LinkedIn, Pinterest, Instagram, Google+ and other social media best practices
• Critical thinker and problem-solving skills
• Collects customer data and analyses interactions and visits, plus uses this information to create comprehensive reports and improve future marketing strategies and campaigns
• Reports progress to senior marketing management
• Grows and expands company social media presence into new social media platforms, plus increases presence on existing platforms including Facebook, LinkedIn, Twitter, and Instagram
• Researches and monitors activity of company competitors
• Creates and distributes engaging written or graphic content in the form of e-newsletters, web page and blog content, or social media messages
• Provide constructive feedback
• Ability to interact with varied cultures
• Energetic, Confident, and Motivated & Self- driven

• Job Type: Full-time
• Experience: 3+ year
• Working Days: Mon to Sat (Except 1st, 3rd and 5th will be have off)
• Salary: Up to 35K
• Work Location: 801, Anand Mangal 3 opp. core Biotech, Rajnagar club Lane, Nr. Municipal school Ambawadi Ahmedabad Gujarat- 380006

• Product Manager leads multiple inter-dependent work-streams, each with massive business potential and scale, immediately:
• Complete end-to-end product design for web-based Ed-Tech Platform with blockbuster in-market results as we go from MVP to scaled product.
• Lead complexity of creating a platform that should be absolutely delightful for kids 6-14 while delivering perceived academic value to parents.
• Have a global aesthetic—the product will expand globally in 3 months time and aesthetic should transcend cultural boundaries to deliver a true global experience.
• Have strong detail orientation—the product will have inter-dependent flows on both front-end as well as teacher/admin/ops back-end.

• 7-10 years of experience with at least 6 years of experience as a Product Manager
• Scaled consumer product experience
• Building a product from scratch and grown to 2x or 3x.
• Good to have candidates from IIT/NIT/BITS Pilani and Top colleges

• A strong sense of ownership
• Exceptional technical skills
• Ability to understand the problem and craft the right solution
• Strong software architecture skills
• Dedicated to completing projects of the highest standards, on time
• Passionate about the work they undertake

QUALIFICATIONS:

To be considered for this position you must possess the following qualifications:

• A minimum of 3.5 years of industry experience
• Previous experience working with a team on a large, complex project
• Excellent communication skills (verbal and written skills in the English language)

SKILLS:

Please find the below mandatory skills required for Senior .Net resources, kindly source accordingly.

• Strong in C#.Net
• MVC (Min 2 Yrs)
• Web API (Min 1 Yr)
• Good in SQL and DB operations
• Should have used latest features of C#.Net

Database:

• Entity Frameworks (LINQ) (Min 1 Yr)
• ADO.Net (SQL)