11+ Applied mathematics Jobs in Pune | Applied mathematics Job openings in Pune

Looking for an experienced Product Manager to work in abroad countries who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy.

Key Responsibilities:

Product Strategy and Vision:

• Develop and communicate a product vision and strategy aligned with the company's overall business objectives.
• Conduct market research, gather customer feedback, and analyze trends to inform the product roadmap.
• Define product goals and key performance indicators (KPIs) to track success.

Product Roadmap:

• Create and maintain a detailed product roadmap, setting priorities based on customer needs, business goals, and resource constraints.
• Balance short-term needs with long-term vision and strategic goals.

Cross-functional Collaboration:

• Work closely with engineering, design, and marketing teams to ensure successful product development and launch.
• Facilitate communication between stakeholders, ensuring everyone is aligned on product requirements, timelines, and goals.

Product Development:

• Write clear and actionable product requirements (PRDs) and user stories.
• Define features, prioritize enhancements, and manage the product backlog.
• Ensure the product development process is efficient and follows Agile or other relevant methodologies.

Customer Focus:

• Conduct user research, surveys, and interviews to understand customer pain points and gather feedback.
• Analyze data and product usage to identify opportunities for improvement or new features.
• Develop customer personas and use cases to guide product decisions.

Go-to-Market Strategy:

• Work with the marketing and sales teams to create product launch strategies, including pricing, messaging, and promotional campaigns.
• Train internal teams on product features and benefits to support successful product adoption.

Lifecycle Management:

• Oversee the product's life cycle, from ideation and design through to release, iteration, and eventual retirement.
• Monitor product performance, gather user feedback, and drive continuous improvement.

Stakeholder Management:

• Serve as the primary point of contact for product-related queries across the organization.
• Present product updates, progress, and results to senior leadership and stakeholders.

Technical Skills – Must have  

 Lead the design and development of AI-driven test automation frameworks and solutions.

 Collaborate with stakeholders (e.g., product managers, developers, data scientists) to understand testing requirements and identify areas where AI automation can be effectively implemented.

 Develop and implement test automation strategies for AI-based systems, encompassing various aspects like data generation, model testing, and performance evaluation.

 Evaluate and select appropriate tools and technologies for AI test automation, including AI frameworks, testing tools, and automation platforms.

 Define and implement best practices for AI test automation, covering areas like code standards, test case design, test data management, and ethical considerations.

 Lead and mentor a team of test automation engineers in designing, developing, and executing AI test automation solutions.

 Collaborate with development teams to ensure the testability of AI models and systems, providing guidance and feedback throughout the development lifecycle.

 Analyze test results and identify areas for improvement in the AI automation process, continuously optimizing testing effectiveness and efficiency.

 Stay up-to-date with the latest advancements and trends in AI and automation technologies, actively adapting and implementing new knowledge to enhance testing capabilities.

 Knowledge in Generative AI and Conversational AI for implementation in test automation strategies is highly desirable.

 Proficiency in programming languages commonly used in AI, such as Python, Java, or R.

 Knowledge on AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.

 Familiarity with testing methodologies and practices, including Agile and DevOps.

 Working experience on Python/Java and Selenium also knowledge in prompt engineering.

Job Description: Senior Full Stack Java Developer

Timings: 2 p.m – 11 p.m

Employment: Full-time (Hybrid)

Overview: We are hiring two exceptional India-based Lead Developers to work as core members of U.S. based Agile teams. These individuals will own the technical implementation of critical features across customer-facing and associate-facing applications. This is a hands-on technical role, with at least 50% of time spent actively writing code or performing engineering tasks, while also guiding the rest of the team in execution.

Key Responsibilities:

• Serve as the senior technical contributor in a cross-border team focused on Loyalty, Mobile App, CRM, and Customer Pickup.

• Own software design, development, testing, and delivery for cloud-native microservices and web components.

• Lead and guide code reviews, enforce coding standards, and ensure best practices across development.

• Work closely with American product, architecture, and Development Manager teams to break down epics, refine stories, and estimate work. • Mentor India-based junior developers and enforce engineering best practices in a collaborative, remote-first culture.

• Proactively communicate blockers, design decisions, and progress across global teams.

• Write clean, testable, scalable code with strong observability and resilience patterns.

• Integrate with Salesforce, internal APIs, SQL/NoSQL systems, and customer data platforms.

Required Experience & Skills:

• 8-10 years of hands-on development experience.

• Deep expertise in Java, Spring Boot, RESTful API development, SQL (PostgreSQL, SQL Server), and front-end frameworks (React/Angular). • Experience working within an Agile environment alongside U.S.-based product managers, development managers, and designers.

• Strong debugging, troubleshooting, and unit/integration testing skills.

• Familiar with CI/CD pipelines, source control (Git), containerization (Docker), and modern deployment patterns.

• Excellent communication and proactive problem-solving in a remote-first environment.

• Prior experience working in an offshore/onshore model is highly preferred. 

Job Overview: We are looking for a highly skilled and experienced Node.js Developer to join our team. The ideal candidate will have over 5 years of experience in developing scalable, high-performance backend applications using Node.js and related technologies. You will work closely with cross-functional teams to design, develop, and deploy robust solutions.

Key Responsibilities:

· Develop, maintain, and optimize server-side applications using VueJs, Node.js and Express.js.

· Design and implement scalable RESTful APIs and GraphQL APIs.

· Work with databases such as MongoDB, PostgreSQL, or MySQL.

· Ensure the security, performance, and responsiveness of applications.

· Collaborate with front-end developers, UX designers, and product managers.

· Implement automated testing and continuous integration.

· Debug and optimize existing code for performance improvements.

·  Stay updated with the latest trends and best practices in Node.js development.

Required Skills & Qualifications:

· 5+ years of experience in backend development using Node.js.

· Proficiency in JavaScript & TypeScript.

· Strong knowledge of Express.js, Nest.js, or similar frameworks.

· Experience with microservices architecture and cloud platforms (AWS, Azure, GCP).

· Expertise in database technologies such as MongoDB, PostgreSQL, or MySQL.

· Familiarity with Docker, Kubernetes, and CI/CD pipelines.

· Experience with authentication and security best practices (JWT, OAuth, etc.).

· Strong debugging and performance optimization skills.

·  Ability to work in an agile environment and collaborate with cross-functional teams.

Preferred Qualifications:

· Experience with message queues (RabbitMQ, Kafka, etc.).

· Knowledge of DevOps practices and infrastructure as code (Terraform, Ansible).

· Familiarity with front-end technologies such as VueJs or React.

· Contributions to open-source projects or a strong GitHub portfolio.

📢WE ARE #HIRING!📢

👉ROLE : Engineer / Senior Software Engineer, .NET Core with Angular9+ to 14.

👉Position: #hybrid

👉 Location: #pune

👉Job Responsibilities:

● Develop full-stack features and rapid prototypes

● Develop enhancements to existing software products

● Develop API integrations to external solutions

● Work in a team and communicate successes and challenges quickly and objectively

● Create relevant documentation for deliverables in Jira and SharePoint

👉Experience Required:

➡️ Excellent analytical and troubleshooting skills

➡️ 3+ years of software engineering experience

➡️ 3+ years of back-end experience with C#, .NET Core (C API preferred), ASP.NET Core, SQL, RESTful, web services and microsevices

➡️ 1+ years of front-end experience with Angular9+ to14 , RxJS, TypeScript,HTML5, CSS3 ,SCSS

➡️ 3+ years of experience with Web Workers and WebSockets

➡️ 3+ years of experience with SQL and any NoSQL database with eventual consistency

👉Apply Link : https://lnkd.in/diNDDP8h

#hiring #onsite #Angular #dotnetcore #softwareengineer #sql #nosql #frontend #backend

ASP.NET | Open-source web framework for .NET

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning