
Senior Manager- Data Intelligence|
at Data Intelligence Platform For Decision-Makers
Supporting today’s data driven business world, our client acts as a full-stack data intelligence platform which leverages granular and deep data from various sources, thus helping the decision-makers at the executive level. Their solutions include supply chain optimization, building footprints, track construction hotspots, real estate, and lots more.
Their work embeds geospatial analytics, location intelligence and predictive modelling in the foundations of economic modelling and evaluation theory to build data intelligence layers for their clients which include governments, multilateral institutions, and private organizations.
Headquartered in New Delhi, our client works as a team of economists, data scientists, geo-spatial analysts, etc. Their decision-support system includes Big-Data, predictive modeling, forecasting, socio economic dataset and many more.
As a Senior Manager– Data Intelligence, you will be responsible for contributing to all stages of projects– conceptualizing, preparing work plans, overseeing analytical work, driving teams to meet targets and ensuring quality standards.
What you will do:
- Thoroughly understanding the data processing pipeline and troubleshooting/problem-solving the technical team
- Acting as SPOC for client communications across the portfolio of projects undertaken by the organization
- Contributing to different aspects of organizational growth– team building, process building, strategy and business development
Desired Candidate Profile
What you need to have:- Post-graduate degree in relevant subjects such as Economics/ Engineering/ Quantitative Social Sciences/ Management etc
- At least 5 years of relevant work experience
- Vast experience in managing multiple client projects
- Strong data/quantitative analysis skills are a must
- Prior experience working in data analytics teams
- Credible experience of data platforms & languages in the past

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Experience: 4-6 Years
Location: Andheri, Mumbai
Immediate Joiners Only
Highlights of Requirement
Databases: MongoDB (Expert Level), PostgreSQL
Queue Systems: Kafka
Job Scheduler: Bull
Infrastructure: Docker, Kubernetes (K8s)
Additional Requirements:
Experience working with large datasets
Expertise in logging, tracing, and application monitoring
Requirements:
- You have prior experience developing and working on consumer-facing web/app products.
- Hands-on experience in JavaScript. Exceptions can be made if you’re really good at any other language with experience in building web/app-based tech products.
- Expertise in Node.JS and Experience in at least one of the following frameworks - Express.js, Koa.js, Socket.io.
- Good knowledge of async programming using Callbacks, Promises, and Async/Await.
- Hands-on experience with Frontend codebases using HTML, CSS, and AJAX
- Working knowledge of MongoDB, Redis, MySQL.
- Good understanding of Data Structures, Algorithms, and Operating Systems.
- You've worked with AWS services in the past and have experience with EC2, ELB, AutoScaling, CloudFront, S3.
- Experience with Frontend Stack would be an added advantage (HTML, CSS)
- You might not have experience with all the tools that we use but you can learn those given the guidance and resources.
- Experience in Vue.js would be a plus.
About Unilog
Unilog is the only connected product content and eCommerce provider serving the Wholesale Distribution, Manufacturing, and Specialty Retail industries. Our flagship CX1 Platform is at the center of some of the most successful digital transformations in North America. CX1 Platform’s syndicated product content, integrated eCommerce storefront, and automated PIM tool simplify our customers' path to success in the digital marketplace.
With more than 500 customers, Unilog is uniquely positioned as the leader in eCommerce and product content for Wholesale distribution, manufacturing, and specialty retail.
About the Role
We are looking for a highly motivated Innovation Engineer to join our CTO Office and drive the exploration, prototyping, and adoption of next-generation technologies. This role offers a unique opportunity to work at the forefront of AI/ML, Generative AI (Gen AI), Large Language Models (LLMs), Vertex AI, MCP, Vector Databases, AI Search, Agentic AI, Automation.
As an Innovation Engineer, you will be responsible for identifying emerging technologies, building proof-of-concepts (PoCs), and collaborating with cross-functional teams to define the future of AI-driven solutions. Your work will directly influence the company’s technology strategy and help shape disruptive innovations.
Key Responsibilities
- Research Implementation: Stay ahead of industry trends, evaluate emerging AI/ML technologies, and prototype novel solutions in areas like Gen AI, Vector Search, AI Agents, VertexAI, MCP and Automation.
- Proof-of-Concept Development: Rapidly build, test, and iterate PoCs to validate new technologies for potential business impact.
- AI/ML Engineering: Design and develop AI/ML models, AI Agents, LLMs, intelligent search capabilities leveraging Vector embeddings.
- Vector AI Search: Explore vector databases and optimize retrieval-augmented generation (RAG) workflows.
- Automation AI Agents: Develop autonomous AI agents and automation frameworks to enhance business processes.
- Collaboration Thought Leadership: Work closely with software developers and product teams to integrate innovations into production-ready solutions.
- Innovation Strategy: Contribute to the technology roadmap, patents, and research papers to establish leadership in emerging domains.
Required Qualifications
- 4–10 years of experience in AI/ML, software engineering, or a related field.
- Strong hands-on expertise in Python, TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, Claude, Gemini, VertexAI, MCP.
- Experience with LLMs, embeddings, AI search, vector databases (e.g., Pinecone, FAISS, Weaviate, PGVector), MCP and agentic AI (Vertex, Autogen, ADK)
- Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML infrastructure.
- Strong problem-solving skills and a passion for innovation.
- Ability to communicate complex ideas effectively and work in a fast-paced, experimental environment.
Preferred Qualifications
- Experience with multi-modal AI (text, vision, audio), reinforcement learning, or AI security.
- Knowledge of data pipelines, MLOps, and AI governance.
- Contributions to open-source AI/ML projects or published research papers.
Why Join Us?
- Work on cutting-edge AI/ML innovations with the CTO Office.
- Influence the company’s future AI strategy and shape emerging technologies.
- Competitive compensation, growth opportunities, and a culture of continuous learning.
About Our Benefits
Unilog offers a competitive total rewards package including competitive salary, multiple medical, dental, and vision plans to meet all our employees’ needs, career development, advancement opportunities, annual merit, a generous time-off policy, and a flexible work environment.
Unilog is committed to building the best team and we are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your race, color, religion, creed, ancestry, sex, national origin, age, disability, familial status, marital status, military status, veteran status, sexual orientation, gender identity, or expression, or any other protected class.
TensorIoT:
- AWS Advanced Consulting Partner (for ML and GenAI solutions)
- Pioneers in IoT and Generative AI products.
- Committed to diversity and inclusion in our teams.
TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.
The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life.
TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job Description
At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews.
What are the kinds of tasks Data Scientists do at TensorIoT?
As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client.
Preferred Requirements:
- PhD in the domain of Data Science / Machine Learning
- M.Sc | M.Tech in the domain of Computer Science / Machine Learning
- Hands-on experience in MLOps (model deployment, maintenance).
- Some experience working with Generative AI (LLM).
- Some experience in creating cloud-native technologies, and microservices design.
- Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
- Hands-on experience with Docker.
Minimum Requirements:
- Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience.
- Clear concepts of the following:
- - Supervised Learning, Unsupervised Learning, Reinforcement Learning
- - Statistical Modelling, Deep Learning
- - Interpretable Machine Learning
- - Linear Algebra
- Scientific & Analytical mindset, proactive learning, adaptability to changes.
- Strong interpersonal and language skills in English, to communicate within the team and with the clients.
CV Tips:
Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following:
- Focus:
- More focus on technical skills relevant to the job description.
- Less or no focus on your roles and responsibilities as a manager, team lead, etc.
- Less or no focus on the design aspect of the document.
- Regarding the projects you completed in your previous companies,
- Mention the problem statement very briefly.
- Your role and responsibilities in that project.
- Technologies & tools used in the project.
- Always good to mention (if relevant):
- Scientific papers published, Master Thesis, Bachelor Thesis.
- Github link, relevant blog articles.
- Link to LinkedIn profile.
- Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.
We appreciate your interest in the company and look forward to your application.
Responsibilities
- Writing clean, high-quality, high-performance, maintainable code
- Develop and support software including applications, database integration, interfaces, and new functionality enhancements
- Responsible for the product development and maintenance
- Analyze and resolve performance bottlenecks
Requirements
- 3+ Years of experience in Web Application Development
- Should excel in working with large-scale applications and frameworks
- Expert in Programming using Angular 8/10/11, Web API
- Should have knowledge in Relational and Non-Relational databases (NO SQL).
- Strong knowledge of SDLC methodologies – Agile/Scrum
- Very good development skills in front end technologies/javascript.
- Good understanding of Object-Oriented Programming, Design Concepts & Unit Testing
- Good understanding of Web Security Concepts
What You Will Do
● Create beautiful software experiences for our clients using design thinking, and lean and agile methodology.
● Work on world-class software products using the latest cutting-edge technologies and platforms.
● Work in a dynamic, collaborative, transparent, non-hierarchical culture.
● Work in collaborative, fast-paced, and value-driven teams to build innovative customer experiences for our clients.
● Help to grow the next generation of developers and positively impact the industry.
Basic Qualifications
● Experience: 5+ years
● Hands-on development experience in backend, Java, SpringBoot, Hibernate, SQL, MongoDB, Jenkins, Microservices, etc.
● Server-side development experience mainly in JAVA.
● Passion for software engineering and following the best coding concepts.
● Good to great problem-solving and communication skills.
● Experience in working with cross-border, distributed teams is a must. Nice to have Qualifications ● Product and customer-centric mindset
● Great OO skills, including design patterns.
● Experience with large-scale enterprise systems Get to know us better: https://www.zemosolabs.com.
A highly motivated and passionate individual who has experience in executing end to end web based application projects and bringing them to production quickly and with high quality. Passionate about building flexible and scalable solutions with an eye for detail and can weigh pros and cons to find best possible solutions.
Responsibilities:
- Collaborate with Product Manager and Engineering Manager to plan, implement and deliver tasks and modules on a timely basis with best practices and adherence to SOPs.
- Understand the product specification and be able to ask questions and gather information and feedback to build a well rounded solution.
- Deliver end to end applications starting from front end web development, back end development, middleware integration and persisting data in no SQL or RDBMS databases.
- Should be able to use existing front-end components to build web based UI interfaces.
- Strong technical design approach to problem solving for backend services.
- Should be able to communicate and defend the tech design choices taken for long term scalability and maintainability.
- Play the role of an unblocker in a tight scrum environment.
- Should be able to help other developers with challenges and help achieve milestones as per plan.
- Prioritise to manage ad-hoc requests in parallel with ongoing projects.
- Document API specification, technical design and other key information for all projects/modules/services owned
Requirements:
- A highly talented developer with 4-7 years of hands-on experience in building secure and scalable web-based applications using Java in backend and JS-based frontend frameworks
- Strong knowledge of Java 8+, databases (SQL and NoSQL), MySql, Mongo
- Experience working with Cassandra, Spring Boot, Apache Spark, Kafka, RabbitMQ is highly desirable
- Working knowledge of any one or more of AngularJS/ReactJS/VueJS and CSS3, HTML5
- Strong experience in data modeling for data storage tools in SQL; experience with noSQL is highly desirable.
- Experience building scalable solutions for 2x, 5x and 10x growth with high quality and flexibility.
- Practitioner of test-driven development practices.
- Experience in creating and adhering to best practices for development
- Experience working with container technologies like Docker and knowledge of CI/CD processes for automated integration and deployment.
- Basic knowledge of AWS preferred
- Strong experience in Microservices (SRP) paradigm
- Willing to learn new technologies (Golang)
- Qualification B.Tech/M.Tech/MCA(IT/Computer Science)
- Years of Exp 4 - 7 years
Title: Salesforce Developer/ Architect
Location: Hyderabad/Vizag
Experience: 4+ years
Required Skills:
4+ years of enterprise consulting experience in spanning large organizations and enterprise platforms of Salesforce.
4+ years of experience as a Senior Architect and/or technology leader in a mid-to-large sized organization.
min 1 or 2 projects in Non-Profit Or Architect with Salesforce community implementation with more than 10K users.
Involved in minimum 4 end-to-end implementation Involved in minimum 1 end-to-end community cloud implementation
Experience with key areas of enterprise architecture including Cloud, Integration Technologies, Master Data Management.
Hands-on experience with Agile Implementation Frameworks.
Proven ability to analyze, design, and optimize business processes via out-of-the-box product, technology and integration.
Success in guiding customers and colleagues in rationalizing and deploying emerging technologies that drive increased business value.
Excellent communication skills, both written and verbal. Able to effectively develop materials that are appropriate for the audience.
Able to multitask in a fast paced environment and exercise a high degree of initiative in resolving issues and developing process enhancement recommendations.
Excellent team player able to work with virtual and global cross functional teams and lead through influence.
Salesforce Certified Nonprofit Cloud Consultant Lead a team of 5-8 developers
Prepare Technical Design based on business requirements for SALES,Service Cloud Perform Build and Unit test of Salesforce modules based on technical designs, following best practices, ensuring expected code quality
Conduct peer review, guide team members Status reporting of the tasks complete by team as per agreed schedule
Must be proficient with Salesforce Apex, lightning,LWC and batch classes.
1) Core PHP: Yes/No(Mandatory)
2) JavaScript and JQuery: Yes/No(Mandatory)
3) Ajax: Yes/No
4) Curl: Yes/No
Github will be an added advantage
MYSQL:
Stored Procedures: Yes/No
Indexes: Added advantage
Triggers: Added advantage
As technical lead, you will be responsible for complete product development including
- Identification of technology
- Shaping engineering practices
- Hiring engineering team
- Shaping up the product










