Data Process Executive

Job Description:

Interested? Let’s Connect!

Connect on my LinkedIn

https://www.linkedin.com/in/indrani-dutta-a9a65135/?skipRedirect=true

Job Title: Monetization & Fundraising Finance Manager

About Miror

Miror is a fast-growing Femtech platform focused on providing 360° care for women navigating perimenopause and menopause — a phase that impacts nearly half of a woman’s life with 40–50+ symptoms.

We have built strong traction:

● India’s largest WhatsApp community in this space

● Rapidly growing social media presence

● Collaborations with National Health Mission, Govt. of Karnataka, and Indian Menopause Society

Our platform offers access to doctors, labs, nutraceuticals, fitness tracking, and personalized care.

Learn more: https://miror.in

Role: Monetization & Fundraising Lead

1. Objective

● Drive revenue growth and monetization strategy

● Lead and support fundraising efforts

● Work closely with founders on scaling the business

2. Key Responsibilities

● Define and execute monetization strategy (subscriptions, pricing, new revenue streams)

● Support fundraising (financial models, investor decks, data readiness)

● Build revenue projections and business models

● Identify opportunities to improve unit economics and margins

● Work with product and growth teams to drive revenue outcomes

● Support founders in strategic decision-making related to growth

3. Must-Have Experience

● ~10 years of experience in startup / high-growth environment

● Strong experience in monetization and revenue strategy

● Exposure to fundraising / investor interactions

● Strong understanding of business models and scaling strategies

4. Good to Have

● Experience in consumer / D2C / health / digital products

● Exposure to subscription or app-based businesses

5. Profile Type

● Not a traditional finance or compliance role

● Looking for someone who:

● Thinks growth and revenue first

● Is hands-on and execution-focused

● Can work closely with founders

Best Regards,

Indrani Dutta

Senior HR Manager

Soham Renewable Energy India Pvt. Ltd.

Visit: www.miror.in

Visit: https://www.sohamenergy.in/

Job Types: Full-time, Permanent

Benefits:

• Health insurance
• Provident Fund

Work Location: In person

Key Responsibilities 

Develop and deploy scalable AI-powered applications using the Python stack. 

Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices. 

Build and manage robust APIs for integrating AI solutions into applications. 

Research and experiment with emerging technologies to discover new AI-driven use cases. 

Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance. 

Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives. 

Apply MLOps principles to streamline AI model deployment, monitoring, and optimization. 

Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques. 

Contribute to continuous improvement of development processes and practices. 

Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution. 

Requirements 

Educational Background 

Bachelor’s or Master’s degree in Computer Science or related fields with a strong academic track record. Experience 

Technical Skills: 

3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks. 

Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc. 

Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including containerization (Docker) and orchestration (Kubernetes). 

Experience with CI/CD pipelines, version control (Git), and automation frameworks. Strong understanding of algorithms, AI/ML fundamentals, and data preprocessing techniques. 

Soft Skills: 

Passion for exploring, experimenting and implementing emerging AI technologies. Self-starter who can independently and collaboratively in a fast-paced environment. Excellent problem-solving and analytical abilities to tackle complex challenges. 

Effective communication skills to explain AI concepts and strategies to stakeholders. 

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Post - Xamarin Developer

Experience – 0.6 months -2 ys

Education BE or equivalent

Required Skills -                                                               

• 2+ Years of hands-on experience in design, architect, developing and delivering native mobile and cross platform Xamarin.Android, Xamarin.iOS and Xamarin.Forms applications using Xamarin Studio or Microsoft Visual Studio.
• Hands-on experience in design and architect mobile back-end services.
• Strong knowledge in C#.net and SQLite Database with Entity Framework.
• Strong knowledge of MVC Web API’s is an advantage.
• Experience in designing and developing custom controls for Android, Windows and iOS.
• Solid foundation in data structures, algorithms, and object-oriented design.
• Capability to write and execute unit test cases.
• Independent researching, solution finding, analysis and problem-solving skills and capabilities.
• Knowledge on Agile and Scrum approach is a must.
• Should have a strong knowledge of OOPS and intermediate knowledge of front-end GUI design and development.
• Ability to complete all phases of the software development life cycle including analysis, design, functionality, testing and support.
• Must be a team player and self-starter with the ability to communicate clearly.

Custom Memory Design

 SRAM/custom circuit design and standard cell design 

Job description

Rivos Custom Circuits team is seeking highly motivated candidates to develop state of the art custom SRAM memories, Register file memories, memory compilers and standard cells to improve circuit performance, optimize dynamic and static power and support silicon bring up. The role will be at the center of a state-of-the-art circuit design effort, interfacing with all disciplines and have a critical impact on getting products to market quickly.

Responsibilities

• Responsible for designing and delivering custom circuits from scratch.
• Drive design and development of SRAM, register file, custom cells to enable high performance and low power designsWork with microarchitecture team to gather specifications
• Drive optimal implementation Conduct early sizing estimates and PPA analysis. Perform design entry and simulations for optimal design sizingWork closely with mask designers on custom design implementation, DFM and yield enhancement featuresCollaborate with the CPU and SoC Physical design teams on floorplanning, placement, timing and power closure of the custom designInteract with technology team
• Participate in developing design and test plans Collaborate with the CAD team and drive design flow enhancements

Qualification

• Candidates must have 7+ years of experience in transistor level custom circuit design from RTL-GDS for CPU and SoC, circuit simulation, equivalence checking, PPA trade off analysis, low power design techniques, timing, noise and power characterization.
• Prior experience and proven success of successfully designing high performance SRAM memories, Register file memories, SRAM compilers, data path designs and standard cells
• Experience designing transistor-level custom circuits in advanced FinFET technology nodes
• Solid understanding of device physics, process technology and circuit design techniques for high performance, low power
• Experience with advanced process design rules and supervising mask design
• Knowledge developing automation for compilers and standard cells
• Post-Silicon test and debug experience
• Ability to work well in a team and be productive under aggressive schedules.
• Excellent problem solving, written and verbal communication

Education and Experience

• Master's Degree or Bachelor's Degree with 7+ years of experience

Legal Assistant responsibility include:

• Negotiate, review, drafting, vetting of various contracts and agreements 

• Drafting knowledge of notices/reply notice/letters to any govt., & Non-Govt. authorities.

• Drafting of other miscellaneous documents like Power of Attorney, Undertakings required as per the need of business, Memorandum of Understanding, No Objection Certificate (NOC)

• Responsible for supporting Groups Secretarial function, convening of Board shareholders & Committee Meeting

• Attending and handling court cases, case notices and handle all litigation matters with support of external counsel;

• Submission of reports/ MIS/ litigation updates, contract trackers to the Department on monthly & quarterly basis.

• Conduct research on relevant laws, regulations

• Taking care of any matter as and when received from the management and advising them within the legal ambit.

• Maintain knowledge of all new changes in the law, analyze implications and suggest a manner of implementation.

• Responsible for maintaining all legal records & documents within the legal department.

• Organize and maintain documents in a paper or electronic filing systems.
• Maintaining of statutory register and records

• To work with external law firms, other consultants, statutory auditors as and when required.

• Manage the day-to-day affairs of assigned sub-tasks.

• Perform other tasks as assigned to support the department as and when required.

Key Responsibilities & Requirements

You should primarily be a backend developer or full stack developer, very good at code reviews and code optimization. Our products depend on processing large amounts of data and having fast response times is absolutely essential.

You will have the opportunity to

• Take responsibility of building systems for scale
• Manage our backend systems and database optimizations
• Assist in key decisions and design architecture that drives development across products
• Define processes and help with efficient functioning of the team
• Work with cross-functional teams to ensure the products are scalable, maintainable and secure

What we expect from you:

• We work on Ruby on Rails but you can have 2+ years of experience as backend developer in any language
• Have a solid grasp of OOP, databases and automated testing methodologies.
• Know how to manage sprint and ensure tasks are completed within the timeline
• Design and implementation of low-latency, high-availability, and performant applications
• Strong understanding of SQL databases
• Proficient knowledge of various authentication methods like JWT, OAuth etc..
• Perform peer code reviews and Code audit - Analyze existing code and remediate performance issues within existing applications

Having seen over 10x growth in 2021 alone, we are expanding our scope of products to cater to the fast growing creator economy and help creators monetize in ways beyond influencer marketing. We are also looking at tremendous growth in the next few years, standing at the verge of building something huge!

Come join our team of developers if a fast learning environment in a high growth industry excites you.

About Winkl

Please check out our product before applying to this position -
* Website - https://winkl.co
* Team - https://winkl.co/about
* Android App - https://play.google.com/store/apps/details?id=co.winkl.app&;amp;hl=en
* iOS App - https://www.winkl.co/app

Winkl is a technology company that is changing how influencer marketing is done. From a manual process earlier to an automated and data-driven process with Winkl. More on this here.

Leveraging data & technology helps Winkl scale influencer marketing to a level that wasn't possible earlier. This has helped Winkl power influencer campaigns for top brands in India like Flipkart, Amazon etc.

Culture & Expectations

* At Winkl, no one tells you what to do. We don't micromanage. We don't spoon feed. As long as you're willing to learn new things, are proactive, initiate activities on your own, make mistakes and learn from them, take responsibility, stick to your word of getting things done, we think you'd be a great fit at Winkl.
* On a day to day basis, you'll get to be an important part of a high growth startup as it scales.
* You'll receive all possible support from your team at Winkl to help you succeed. 
* Being highly accountable is a non-negotiable requirement