
Position: Lead Gen / Telemarketing Executive
Exp: 0.6 - 3 years.
Identifies prospects by generating leads
Calls prospective customers
Influences customers to buy services and products by following a prepared sales talk to give service and product information a
Completes orders by recording names, addresses, and purchases; referring orders for filling.
Secures information by completing database backups.
Maintains a safe and clean working environment by complying with procedures, rules, and regulations.
Maintains operations by following policies and procedures; reporting needed changes.
Contributes to team effort by accomplishing related results as needed.

About Winger IT Solution
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Were looking for a detail-oriented and proactive Legal Associate to join the team at OIP Insurtech. In this role, youll provide essential legal and administrative support, manage key legal documentation, and ensure compliance with relevant regulations globally. This is a great opportunity for someone who enjoys solving complex legal challenges and contributing directly to smooth, confident, and informed decision-making across our international operations.Were looking for a detail-oriented and proactive Legal Associate to join the team at OIP Insurtech. In this role, youll provide essential legal and administrative support, manage key legal documentation, and ensure compliance with relevant regulations globally. This is a great opportunity for someone who enjoys solving complex legal challenges and contributing directly to smooth, confident, and informed decision-making across our international operations.
What You'll Be Doing:
- Draft, review, and negotiate contracts and agreements (NDAs, business cooperation, service agreements, technology services, donations, etc.)
- Prepare and manage key corporate and labor law documents
- Provide daily legal support and guidance to different departments
- Conduct legal research and ensure compliance with local and international regulations (including GDPR)
- Support the setup and operations of international offices
- Manage relationships with banks, authorities, law firms, and other external parties
- Keep the groups legal documentation, database, and archives up to date
What Were Looking For:
- Bachelors degree in Law
- Minimum of 2 years of work experience
- In-depth understanding of the legal system and regulations of the respective country
- Strong English communication skills (spoken and written)
- High commitment to maintaining corporate privacy and ensuring the security of confidential information
- Outstanding analytical and organizational abilities
- Experience with corporate labor law, legal research, and writing is preferable
- Proficiency in the latest versions of Windows, Microsoft Office, and Google Workspace Tools
What We Offer:
Work-Life Balance
- Vacation and Paid Time off
- Weekday Working hours
- Daytime 8 hour-shift
- Extended Maternity Leave (fully paid)
- Paternity Leave: 10 days
- Wedding Time off
- Team Buildings
Financial and Health Benefits
- Private Health Insurance
- Meal Allowance
- Birthday Gifts
- New Year Gifts
Professional Development
- Role Integration program
- Development and Learning Programs
- Continuous education
- Education Day Off
Job Description
Job Purpose
We work in the latest technology, and our foundations are data structures, algorithms, strong logical reasoning, and mathematics. We are looking for very strong engineers who love coding, optimizing, and making sure their code is the most efficient possible.
You will be involved with hardcore development. If you are an assembler of code or packages from different places to build something, you may not find our team to be the right fit.
You must be someone who can build anything from the ground up. Programming language should not be any barrier for you, as you should be able to pick up any programming language or underlying technology within a week.
Key Areas of Responsibility
Core development. Ready to participate in designing, brainstorming, and development process. You must give sleepless nights to meet deadlines whenever required.
Desired Candidate Profile
Essential Skills
- Reliable, Accountable and Trustworthy
- Ability to understand software requirements based on a wireframe/program specification
- Familiarity with GoLang / PHP / Python / Java / C / C++ / Linux Shell and Scripting / HTML / CSS / JS / Node.js is a plus
- Effective communication skills to ensure smooth coordination of tasks with Team Leader
- Knowledge of MongoDB, MySQL, and PL/SQL is a plus
- Familiarity with ML, TensorFlow, and Keras is a plus
- Knowledge of web servers such as Apache, NGNIX, and the HTTP protocol is plus
- Knowledge of multi-process, threads, memory, and filesystem on Linux is desirable
To consider you for current opening, please make sure to understand the following question and solve it. A simple program in any programing language would do. If you are not able to solve this, then please do not apply.
Write a function foo(x) where foo(foo(x)) = -x (assume x to be an integer, and foo(x) has to be always real), any programming language would do. Before submitting the answers, plz verify that the output of foo(foo(10)) should be -10 and foo(foo(-10)) should be 10.
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About Us
Censius is a US-based product company that is enabling AI at scale for enterprises. We are unlocking MLOps scalability by building the world's fastest way to deploy models and are amongst the earliest companies to tackle Model Performance Management. At Censius, you will get to solve difficult problems in a very nascent, but rapidly growing, area.
About the role
In this role, you will design and implement a generic ML platform that helps monitor models across modalities in production. You will collaborate with the research and development teams to build robust ML and big data monitoring platforms.
Responsibilities
* Work on large-scale machine learning challenges that impact millions of people around the globe
* Research and implement cutting-edge algorithms and implement pipelines that work with massive data sets in real-time
* Implementing fast, scalable solutions with optimal performance day in and out
* Machine-learning being the core of our business, this role will be responsible for all phases of the product development lifecycle
* Evaluate and validate the analyses with statistical methods and explain to people unfamiliar with the domain of data science
* Writing specifications for algorithms, reports on data analysis, documentation of algorithms, and collaborating with product teams' skills and attributes for success will want you to have
* Strong programming skills in Python.
* Working experience with a variety of ML techniques (decision trees, clustering, boosting, bagging, neural networks, etc.)
* Working experience with advanced statistical concepts (outliers, distance, regression, distributions, statistical tests, etc.)
* Hands-on experience with one or more machine learning frameworks - PyTorch, Keras, Tensorflow, XGBoost, and libraries - Pandas, NumPY, Scikit-learn
* Familiarity with ML platforms like MLflow, Weights&Biases, Kubeflow, and AWS SageMaker.It'd be nice if you have* Passion for developing data products from scratch and a high level of proactiveness
* Knowledge of Reinforcement learning and Optimisation problems on a large scale is a big plus
* Some experience in project management and mentoring is also a plus.
* Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems (Hadoop, Amazon EC2) is a big plus.
You will excel in this role if
* You are scrappy, take ownership, and follow through to the very end
* You enjoy wearing multiple hats
* A sincere desire to learn and grow - we're quite small, so the desire to learn and grow as the company grows is essential!
Benefits
- Competitive Salary 💸
- Work Remotely 🌎
- Health insurance 🏥
- Unlimited Time Off ⏰
- Support for continual learning (free books and online courses) 📚
- Reimbursement for streaming services (think Netflix) 🎥
- Reimbursement for gym or physical activity of your choice 🏋🏽♀️
- Flex hours 💪
- Leveling Up Opportunities 🌱
What you will do:
- Working with external third parties to assess partnerships and licensing opportunities
- Running beta and pilot programs with early-stage products and samples
- Being an expert with respect to the competition
- Determining customers' needs and desires by specifying the research needed to obtain market information.
- Recommending the nature and scope of present and future product lines by reviewing product specifications and requirements
- Appraising new product ideas and/or product or packaging changes.
- Assessing market competition by comparing the company's product to competitors' products.
- Providing source data for product line communications by defining product marketing communication objectives.
- Obtaining product market share by working with sales director to develop product sales strategies.
- Facilitating inventory turnover and product availability by reviewing and adjusting inventory levels and production schedules.
- Bringing new products to market by analyzing proposed product requirements and product development programs
- Preparing return-on-investment analysis and establishing time schedules with engineering and manufacturing
- Introducing and marketing new products by developing time-integrated plans with sales, advertising, and production.
- Determining product pricing by utilizing market research data and reviewing production and sales costs
- Anticipating volume and special costing and customized orders.
- Completing operational requirements by scheduling and assigning employees and following up on work results.
- Maintaining product management staff by recruiting, selecting, orienting, and training employees.
- Maintaining product management staff job results by counseling and disciplining employees; planning, monitoring, and appraising job results.
- Maintaining professional and technical knowledge by attending educational workshops and reviewing professional publications
- Establishing personal networks and participating in professional societies.
- Contributing to team effort by accomplishing related results as needed.
What you need to have:
- Bachelor’s degree from an accredited educational institution, preferably in a technical discipline (Computer Science, Electrical Engineering)
- Preferable MBA degree
- Should have a minimum 3 to 6 years of product management experience (electronics and accessories)
- Significant experience in a startup environment, and taking products from inception to launch
- Strong understanding of consumer electronics and related industry
- Should have demonstrated history of accountability and performance delivery, including leading teams to meet or exceed objectives
- Deep working knowledge of networking, procuring, logistics and sourcing
- Should have the capacity for self-motivation, independent initiative and creative problem-solving
- Should have the ability to manage time and schedules to meet aggressive deadlines and influence through persuasive written and verbal communication
- Excellent leadership skills & experience collaborating with cross-functional teams
- Having diligent attention to detail and strong technical intuition, as well as the ability to set and manage expectations at the executive level
in a software services organization
• Demonstrable experience designing and implementing successful marketing campaigns
• Solid knowledge of SEO, web analytics, and Google AdWords
• Experience with CRM software and digital marketing tools and techniques
• Strong leadership skills
• Excellent communications skills
• Strong analytical and project management skills
• Strategic mindset, with the ability to make difficult decision
Shyja Shanoj
Manager - Business & Operations
Forte Recruitment Consultants
Kannur, Kerala, India

JD – Attached Sample Profile for Reference
1) WebFOCUS BI Reporting
2) WebFOCUS Adminstration
3) Sybase or Oracle or SQL Server or Snowflake
4) DWH Skills
Nice to have
1) Experience in SAP BO / Crystal report /SSRS/ Power BI
2) Experience in Informix
3) Experience in ETL
Responsibilities
• Technical knowledge regarding best practices of BI development / integration.
• Candidate must understand business processes, be a detailed-oriented person and quickly grasp new concepts.
• Additionally the candidate will have strong presentation, interpersonal, software development and work management skills.
• Strong Advanced SQL programming skills are required
• Proficient in MS Word, Excel, Access, and PowerPoint
• Experience working with one or more BI Reporting tools as Analyst/Developer.
• Knowledge of data mining techniques and procedures and knowing when their use is appropriate
• Ability to present complex information in an understandable and compelling manner.
• Experience converting reports from one reporting tool to another
Should be open to embracing new technologies, keeping up with emerging tech.
Strong troubleshooting and problem-solving skills.
Willing to be part of a high-performance team, build mature products.
Should be able to take ownership and work under minimal supervision.
Strong Linux System Administration background (with minimum 2 years experience), responsible for handling/defining the organization infrastructure(Hybrid).
Working knowledge of MySQL databases, Nginx, and Haproxy Load Balancer.
Experience in CI/CD pipelines, Configuration Management (Ansible/Saltstack) & Cloud Technologies (AWS/Azure/GCP)
Hands-on experience in GitHub, Jenkins, Prometheus, Grafana, Nagios, and Open Sources tools.
Strong Shell & Python scripting would be a plus.
Responsibilities:
- Your primary responsibility as a senior backend engineer will be to architect and develop a scalable and robust micro-services backend with strong Java, Spring(Boot), SQL, AWS/GCP.
- Experience being part of a software development team in an Agile/Lean/Continuous Delivery environment
- Be a key performer in a high-performance product engineering team
Qualifications:
- 2 to 4 years of overall IT experience. Most of this experience in Java (Core Java, Spring boot, Java collections, Java Multithreading)
- Should have experience designing database schemas - SQL and NoSQL.
- Exposure to frameworks like Spring, Hibernate, Play would be a plus
- Experience with microservices architecture would be beneficial.
- Working knowledge of any public cloud (AWS, GCP or Azure)
- Broad understanding and experience of real-time analytics, NoSQL data stores, data modeling and data management, analytical tools, languages, or libraries
- Knowledge of container tech like Docker, Kubernetes would be a plus.
- Bachelor's Degree in Computer Science or Engineering.

- Automate and maintain ML and Data pipelines at scale
- Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules
- Maintain and expand our on-prem deployments with spark clusters
- Design, build and optimize applications containerization and orchestration with Docker and Kubernetes and AWS or Azure
- 5 years of IT experience in data-driven or AI technology products
- Understanding of ML Model Deployment and Lifecycle
- Extensive experience in Apache airflow for MLOps workflow automation
- Experience is building and automating data pipelines
- Experience in working on Spark Cluster architecture
- Extensive experience with Unix/Linux environments
- Experience with standard concepts and technologies used in CI/CD build, deployment pipelines using Jenkins
- Strong experience in Python and PySpark and building required automation (using standard technologies such as Docker, Jenkins, and Ansible).
- Experience with Kubernetes or Docker Swarm
- Working technical knowledge of current systems software, protocols, and standards, including firewalls, Active Directory, etc.
- Basic knowledge of Multi-tier architectures: load balancers, caching, web servers, application servers, and databases.
- Experience with various virtualization technologies and multi-tenant, private and hybrid cloud environments.
- Hands-on software and hardware troubleshooting experience.
- Experience documenting and maintaining configuration and process information.
- Basic Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch








