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Bachelor’s degree in Computer Science or a related discipline.

Should have 7+ years of overall engineering experience.

Should have minimum 2 years of experince in a leadership role.

Hands-on experience leading web and mobile product development

Strong expertise in web technologies (React, Node.js) and mobile platforms (Flutter / iOS / Android)

Proven experience owning end-to-end product delivery (development, deployment, maintenance)

Experience with agile execution — sprint planning, delivery tracking, release management

Deep understanding of code quality, testing, security, scalability, and best practices

Active involvement in code reviews and design reviews

Strong cross-functional collaboration with Product and Design teams

Excellent communication and stakeholder management skills

NOTE :- 1st Priority Vadodara

About FoundingMinds:

We are one of the preferred product development partners in the software industry. We work with clients across the globe to design and develop products for them. We are also an incubator for many startups. As a contributor, you will get an opportunity to work with different ideas, brainstorm with diverse people, widen your way of thinking, learn different technologies, research what you have to do, contribute your best to the projects and take ownership of what you do to your project. If you are passionate, you will find endless opportunities to build your career at Founding Minds.

Type: Consultant to Hire

We’re looking for an experienced C++ Developer with strong expertise in system-level programming and hands-on experience working on the TSL (Transport Security Layer). If you’re passionate about C++, love solving performance and security challenges, and are curious about robotics, this role could be a perfect fit for you.

Type: Consultant to Hire

We’re looking for an experienced C++ Developer with strong expertise in system-level programming and hands-on experience working on the TSL (Transport Security Layer). If you’re passionate about C++, love solving performance and security challenges, and are curious about robotics, this role could be a perfect fit for you.

Responsibilities

• Design and develop high-performance C++ applications focused on security and scalability.
• Work on the TSL layer, implementing and maintaining secure communication protocols.
• Optimize code for performance, reliability, and maintainability.
• Collaborate with cross-functional teams to deliver robust software solutions.
• Participate in design discussions, code reviews, and technical documentation.

Requirements

• 6+ years of hands-on experience in C++ (C++11 or later).
• Strong understanding of object-oriented programming, multithreading, and memory management.
• Experience with TSL/SSL, encryption, and secure communication protocols.
• Familiarity with networking (TCP/IP, sockets programming).
• Strong debugging and performance optimization skills.
• Experience working in Linux environments with tools like gdb or valgrind.

Nice to Have

• Experience with OpenSSL or similar libraries.
• Interest in robotics or real-time systems — even if you haven’t worked in the field before.

If you’re someone who enjoys deep technical challenges and is open to exploring how your expertise can extend into robotics, we’d love to connect.

Project Overview

We’re building Express AI, a SaaS platform that allows small and medium-sized businesses (SMBs) to easily train and deploy their own dedicated AI agents for customer service, technical support, sales, and more.

Our vision is to give SMBs the power of enterprise-grade AI without complexity. You’ll help build the core platform that powers this – including agent training interfaces, web deployment, dashboards, and integrations.

Key Responsibilities

• Develop scalable full-stack features using modern JavaScript frameworks

• Build and maintain AI agent training modules (upload docs, FAQs, tone settings)

• Integrate OpenAI, Whisper, LangChain, and other LLM APIs

• Implement user-facing dashboards for chat/voices/social/email agent monitoring

• Design multi-tenant systems with admin-level controls

• Ensure reliability and scalability of the platform as we grow

Tech Stack

• Frontend: React.js, Next.js, TypeScript

• Backend: Node.js, Express, MongoDB (or Postgres), Redis

• AI & NLP: OpenAI API (ChatGPT, Whisper), LangChain, Python (optional)

• DevOps: Docker, AWS or GCP (basic familiarity okay)

• Other: WebSockets for real-time chat, REST APIs, Git

Role Type

• Full Stack Developer (preferred)

• Frontend or Backend specialists also considered, but must be willing to collaborate on both sides

Experience Level

• 3 to 6 years of professional experience

• Previous work with SaaS platforms, AI tools, or multi-tenant architecture is a big plus

Must-Have Skills

• Proficiency in JavaScript/TypeScript

• Strong experience with React.js and Node.js

• Experience working with REST APIs and building secure web apps

• Solid understanding of cloud deployment (AWS/GCP/Firebase)

• Ability to work independently, self-manage, and deliver in a fast-paced environment

Nice-to-Have Skills

• Familiarity with LangChain, OpenAI, AI agent frameworks

• Experience with voice/chat integration

• Prior experience building tools for SMBs or customer support systems

Engagement Type

• Full-time (preferred) or part-time with clear weekly availability

• Remote (India-based candidates only)

Why Join Us?

• Work on a cutting-edge AI platform solving real problems for real businesses

• Fast-moving, no-red-tape team environment

• Build something that will impact millions of small businesses globally

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.

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.

Role: Product Manager

Experience: 5-10 years

Location: Hyderabad (Remote due to COVID-19)

Technovert is not a typical IT services firm. We inculcate the product mindset for the talent working with us. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry.

Step ahead, we are looking for a Product Manager who can create best out of excellent engineering minds and build together a product which suffice Insurance Industry needs. This is a pivotal role where you can see yourself working with the Technology, Sales, Marketing and Leadership team. 
Your Responsibilities

• Identify product market opportunities through market research, customer profiling, needs analysis, market sizing and competitive analysis.
• Define the product strategy, and translate product strategy into roadmap and feature definition, in line with business and customer experience objectives.
• Collect and develop ideas, prioritize the ideas, create business cases
• Define, track, and improve key product metrics.
• Drive the product discovery process for large projects and support the product implementation and deployment
• Partner and collaborate with stakeholders from multiple teams like Engineering, UX, Data, etc. across numerous business units across countries and teams
• Liaise with Engineering and Product owners to help them implement and verify the product increments
• Liaise with Sales, Marketing, Services and Support organizations to launch the product evolutions to market
• Works with product marketing department to develop effective communication activities and programs including product positioning, collateral development, whitepapers, and analyst engagement
• Serves as the key contact for product questions and new product ideas which surface from customers, sales, or market research.
• Manages the resolution of escalated customer problems. Escalates problems and issues to other departments when needed.

Ideal Candidate Traits

• Strong understating of the Insurance industry. Preferable Life & Health.
• Must be able and willing to think and act strategically and tactically
• Excellent communication skills, and design thinking skills
• Strong analytical and problem-solving skills. Leveraging data to make informed product decisions.
• Must have sound business judgment as well as the ability to think clearly, analyze quantitatively, problem-solve, scope technical requirements, and prioritize
• Ability to explain the business and technical value of a technical offering to internal and external audience which is a mix of technical and non-technical customer representatives

Minimum Qualifications

• 4+ years of experience in technology product management.
• 3+ years of working in the insurance domain
• Have worked independently or as a lead on GTM and launch of at least 1 product
• Worked closely with developers in an agile development environment
• Prior experience as a developer preferred.

We are looking for passionate, talented and super-smart engineers to join our product development team. If you are someone who innovates, loves solving hard problems, and enjoys end-to-end product development, then this job is for you! You will be working with some of the best developers in the industry in a self-organising, agile environment where talent is valued over job title or years of experience.

Responsibilities:

• You will be involved in end-to-end development of VIMANA technology, adhering to our development practices and expected quality standards.
• You will be building machine/controller specific applications that run on machine tools and stream the machine stats.
• You will be part of a highly collaborative Agile team which passionately follows SAFe Agile practices, including pair-programming, PR reviews, TDD, and Continuous Integration/Delivery (CI/CD).
• You will be part of a DevOps culture where you will get to work with production systems, including operations, deployment, and maintenance.
• You will have an opportunity to continuously grow and build your capabilities, learning new technologies, languages, and platforms.

Requirements:

• Undergraduate degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of product development experience.
• Proficiency in C, C++, Multi-Thread application development, STL, Boost and TCP/IP programming.
• Optionally should have some basic knowledge on C#, Python and Wireshark.
• Deep knowledge in Data Structures and Algorithms, using various debuggers (Local/Remote).

Additional Skills:

• Experience in working with Agile software methodologies (XP, Scrum, Kanban), TDD and Continuous Integration (CI/CD).
• Experience using no-SQL databases like MongoDB or Elasticsearch.
• Prior experience with container orchestrators like Kubernetes is a plus.

• We recognize that our dedicated team members make us successful and we offer competitive salaries.
• We are a workplace that values work-life balance, provides flexible working hours, and full time remote work options.
• You will be part of a team that is highly motivated to learn and work on cutting edge technologies, tools, and development practices.
• Bon Appetit! Enjoy catered breakfasts, lunches and free snacks!

Required Technical Skills: 

• Java (highly capable)
• SQL (highly capable)
• Strong knowledge of software best practices, build processes, IDEs, database tools (e.g. SQL Developer, SQL Management Studio)
• Strong knowledge of source code control systems (GIT)
• Confident with Windows, Linux, Unix operating systems including command line
• Working knowledge of JIRA

Beneficial Technical Skills: 

• .Net
• C 
• Javascript 
• Experience in test management and test execution
• Experience of Agile development methods

Additional Skills and Behaviour Required 

• Experience of full software development lifecycle
• Considers competing solutions and evaluates options to create the best outcome in all aspects of the role.
• Willingness to takes ownership of whole project and engineers assigned.
• Confident to make suggestions and recommendations for improvements.
• Excellent written and verbal communication skills and ability to build good rapport
• Fluency in English, both written and oral
• Collaborates with others to achieve objectives and ensure information flow
• Seeks assistance and feedback as appropriate 

Education 

• Bachelor's degree (or equivalent) in Computer Science or Engineering or other relevant discipline (MCA, MSc in Computer Science etc.)