Oversee JIRA setup, configuration, and management to optimize sprint workflows. Facilitate AI product management , ensuring alignment with business objectives. Possess a strong understanding of AI components to support development teams. Lead stakeholder management and expectation setting for seamless collaboration. Conduct weekly reporting , including senior stakeholder updates, sprint retrospectives, backlog management, and value-driven work acceleration. Must-Have: AI training certification or background in AI-ML (Deep Learning) within the Pharma domain . ACP-PMI certification (mandatory).

Position: Data Science Trainer Salary : As per company standards Experience : 1yr- 5yrs WORK FROM OFFICE MANDATORY (Full time, permanent) Notice Period : immediate Location :Chinchwad Job Description : Candidates must have the ability to take both theory and practical sessions. Should have excellent knowledge on Python Data Science technologies. Should be able to teach Machine learning, deep learning, artificial Intelligence, SQL, Django Able to resolve students' queries. We expect good communication and presentation skills. Able to explain complex subjects in a clear and interesting way. Dynamic personality. Should be flexible to conduct Weekend Batches as well as Weekday Batches. Responsibilities and Duties - Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda. Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Execute training sessions Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements. Interested candidates can drop their CV on gkhandale@sevenmentor.com OR Contact on 7387385189

As a Principal Software Engineer, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions. Responsibilities: Advanced Software Development: Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage. GenAI Product Development: Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization. Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance. Technical Leadership: Take ownership of architecture and technical decisions for AI/ML projects. Mentor junior engineers, review code for adherence to best practices, and ensure the team follows a high standard of technical excellence. Project Ownership: Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers. Proactively identify and mitigate risks to ensure successful, on-time project completion. Architectural Design: Contribute to the architectural design and planning of new features, ensuring solutions are scalable, reliable, and maintainable. Engage in technical reviews with peers and stakeholders, promoting a product suite mindset. Code Review & Best Practices: Conduct rigorous code reviews to ensure adherence to industry best practices in coding standards, maintainability, and performance optimization. Provide feedback that supports team growth and technical improvement. Testing & Quality Assurance: Design and implement robust test suites to ensure code quality and system reliability. Advocate for test automation and the use of CI/CD pipelines to streamline testing processes and maintain service health. Service Health & Reliability: Monitor and maintain the health of deployed services, utilizing telemetry and performance indicators to proactively address potential issues. Perform root cause analysis for incidents and drive preventive measures for improved system reliability. DevOps Ownership: Take end-to-end responsibility for features and services, working in a DevOps model to deploy and manage software in production. Ensure efficient incident response and maintain a high level of service availability. Documentation & Knowledge Sharing: Create and maintain thorough documentation for code, processes, and technical decisions. Contribute to knowledge sharing within the team, enabling continuous learning and improvement. Minimum Qualifications: Educational Background: Bachelors degree in Computer Science, Engineering, or a related technical field; Masters degree preferred. Experience: 7+ years of professional software development experience, including significant experience with AI/ML or GenAI applications. Demonstrated expertise in building scalable, production-grade software solutions. Technical Expertise: Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks. Deep knowledge of software design patterns, object-oriented programming, and concurrency. Cloud & DevOps Proficiency: Extensive experience with cloud technologies (e.g., GCP, AWS, Azure), containerization (e.g., Docker, Kubernetes), and CI/CD practices. Strong understanding of version control systems (e.g., GitHub) and work tracking tools (e.g., JIRA). AI/GenAI Knowledge: Familiarity with GenAI frameworks (e.g., LangChain, LangGraph), MLOps, and AI lifecycle management. Experience with model deployment and monitoring in cloud environments. Preferred Qualifications: AI & Machine Learning: Hands-on experience with advanced ML algorithms, including generative models, NLP, and transformers. Knowledge of industry-standard AI frameworks (e.g., TensorFlow, PyTorch) and experience with data preprocessing and model evaluation. Data & Analytics Tools: Proficiency with relational and NoSQL databases (e.g., MongoDB, MSSQL, PostgreSQL) and analytics platforms (e.g., BigQuery, Snowflake, Tableau). Experience with messaging systems (e.g., Kafka) is a plus. Testing & Quality: Experience with test automation tools (e.g., PyTest, xUnit) and CI/CD tooling such as Terraform and GitHub Actions. Strong emphasis on building resilient and testable software. Advanced Cloud Knowledge: Proficiency with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow, with a focus on deploying AI models at scale.

Role & responsibilities :- Full-Stack Development: Design, develop and deploy scalable applications leveraging React, Node.js, Python, Java or comparable frameworks. Technology Architecture: Architect secure high-performance, and scalable system infrastructures. Cloud & DevOps: Oversee AWS, Azure, or GCP environments, managing CI/CD pipelines and infrastructure automation. Data & API Management: Manage and integrate SQL & NoSQL databases, microservices architectures and APIs. Security & Compliance: Enforce robust security measures, regulatory compliance, and risk management frameworks. Leadership & Growth Responsibilities Team Building: Responsible for building a high-performance engineering team, fostering a culture of innovation, collaboration, and excellence. Team Leadership: Recruit, mentor and lead a high-caliber engineering team poised for rapid growth engaging them in the continuous development and enhancement of software solutions. Technology Vision: Craft and execute strategic technology roadmap aligned with broader business objectives. Cross-Functional Collaboration: Collaborate actively with product, business, and executive teams to deliver transformative fintech solutions. Future CIO Role: Spearhead initiatives in IT policy formulation, implementation of emerging technologies (AI, ML, automation), and overall digital transformation. Preferred candidate profile 8+ years of robust experience in full-stack software engineering. Expertise in React Node.js, Python, Java, or similar modern development frameworks. Strong proficiency in microservices, API development, and cloud ecosystems (AWS, Azure, GCP). Proven track record in DevOps, CI/CD, and container technologies (Docker, Kubernetes). Hands-on experience with databases such as PostgreSQL, MySQL, MongoDB, DynamoDB, or other NoSQL technologies. Familiarity with cybersecurity, fintech compliance, and regulatory standards (preferred). Experience and strong understanding of Artificial Intelligence (AI) and Machine Learning (ML) is highly desirable. Perks and benefits:- 5 days Working(Monday-Friday)

Job Summary: We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions. Responsibilities: Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers). Handle data preprocessing, augmentation, and synthetic data generation. Work with NLP, text generation, and contextual comprehension tasks. Develop backend services using Python or .NET for LLM-powered applications. Build and deploy AI applications on cloud platforms (Azure, AWS, GCP). Optimize AI pipelines and ensure scalability. Stay updated with advancements in AI and ML. Skills & Requirements: Strong knowledge of machine learning, deep learning, and NLP. Proficiency in Python, TensorFlow, PyTorch, and Keras. Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment. Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG). Ability to work independently and as part of a team. Bachelors degree in Computer Science, Mathematics, Engineering, or a related field. 6+ years of experience in Gen AI, or related roles. Experience with AI/ML model integration into data pipelines. Core Competencies for Generative AI Engineers: 1. Programming & Software Development a. Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.b. LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.c. API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.d. Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing. 2. Vector Database & Cloud AI Solutions a. Pinecone, FAISS, ChromaDB, Neo4jb. Azure Redis/ Cognitive Searchc. Azure OpenAI Serviced. Azure ML Studio Modelse. AWS (Relevant Services) 3. Data Engineering & Processing Handling large-scale structured & unstructured datasets. Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop. Feature engineering and data augmentation techniques. NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA). CV: Image generation using GANs, VAEs, Stable Diffusion. Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers). Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus. Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face. Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner. Model compression (quantization, pruning, distillation). Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP. Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline). API integration with front-end applications. Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks). Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.). Strong problem-solving skills with a passion for data architecture. Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders. Highly collaborative, capable of working with cross-functional teams. Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively. Why Join Us? Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions. Work on impactful projects that make a difference across industries. Opportunities for professional growth and continuous learning. Competitive salary and benefits package. Ready to make an impact? Apply today and become part of the QX impact team!

Role & responsibilities Utilize machine learning and NLP techniques to analyze large datasets and extract actionable insights Develop, train, and evaluate predictive models to solve complex business problems Collaborate with software engineers to deploy and integrate machine learning solutions into production environments Design and implement algorithms for computer vision, image analysis, and text processing Utilize SQL, Python, and other relevant programming languages and tools to manipulate and analyze data Explore and experiment with new data sources and technologies to improve data quality and model performance Communicate findings and insights to both technical and non-technical stakeholders through data visualizations, reports, and presentations Stay current with the latest developments in machine learning, NLP, and computer vision research Whats in it for you? A Happy Workplace! We create an environment where everyone feels welcome and we are more than just coworkers, sharing an informal and fun workplace. Our teams are highly adaptive, and our dynamic culture pushes everyone to create success in all dimensions. Lucrative Packages and Perks At Indium we recognize your talent and offer competitive salaries better than the market standards. In addition to appraisals, rewards, and recognition programs conducted regularly, we have performance bonuses, signoffs, and joining bonuses to value your contributions and success for yourself and Indium. Your Health is Priority for Us! A healthy and happy workforce is important for us; hence we ensure that you and your dependents are covered under our Medical Insurance Policy. From 1:1 counselling session for your mental wellbeing to fun filled fitness initiatives we ensure you stay healthy and happy! Skill Up to Scale Up We believe in continuous learning as part of our core values and hence we provide excellent training initiatives along with access to our mainspring learning platform, Indium Academy to ensure you keep yourself equipped with the necessary technical skills for greater success. Work-Life Balance With Flexi working hours and 5-day work week structure, and lots of fun destressing initiatives we create a positive and relaxed environment to work wit

Job Overview: The candidate will lead the development and management of assurance product across multiple domains in our telecom network. This role will focus on creating solutions that monitor, analyze, and optimize performance across all network domainscore, transport, access, and service layers—ensuring end-to-end service quality, reliability, and customer experience. The successful candidate will collaborate with cross-functional teams to deliver innovative solutions that enhance network performance and minimize service disruptions. Key Responsibilities: 1. Cross-Domain Assurance Product Development: Lead the design and development of assurance products that span across multiple telecom network domains, including core networks, access networks, transport networks, and service layers. Define the product vision, strategy, and roadmap for end-to-end assurance solutions that provide visibility and monitoring across all network domains (e.g., 4G/5G, IP/MPLS, SD-WAN, optical, transport, etc.). Work closely with network operations, NOC operations, other product teams to gather requirements and deliver products that address cross-domain monitoring, fault detection, and performance optimization. 2. Unified Monitoring & Fault Management: Develop assurance solutions that provide a unified view of the network performance across multiple domains, enabling proactive fault management, root cause analysis, and automated remediation. Ensure the product supports multi-domain monitoring (e.g., backhaul, radio access network, core, cloud, and IT systems) to provide end-to-end service health visibility. Implement cross-domain KPIs, SLAs, and metrics that enable comprehensive tracking of service delivery, fault detection, and network performance. Define automated troubleshooting and performance optimization strategies that span across multiple domains to reduce service disruptions and ensure high-quality service delivery. Leverage AI and machine learning to predict and prevent potential network failures by analyzing trends and patterns across cross-domain data. 3. Market & Competitive Analysis: Conduct research on emerging technologies, industry standards, and trends related to cross-domain network assurance, such as 5G, SD-WAN, virtualized networks, and cloud-native solutions. Analyze competitor products and solutions to identify gaps and opportunities for differentiation in the cross-domain assurance market. Keep track of innovations in automation, machine learning, and AI that can be leveraged for multi-domain network performance monitoring and troubleshooting. 4. Product Roadmap & Prioritization: Develop and maintain a comprehensive product roadmap for cross-domain assurance solutions, ensuring alignment with business objectives, customer needs, and evolving network technologies. Lead product iterations, ensuring timely delivery of product updates and enhancements across multiple domains. 5. Product Testing & Validation: Lead testing initiatives, including pilot programs, proof of concepts (PoCs), and beta testing, to validate the product across multiple network domains. Collaborate with network engineers and QA teams to ensure the assurance product meets functional, performance, and scalability requirements for cross-domain visibility. Ensure the product supports seamless integration with existing network management platforms and tools used across different domains. 6. Post-launch Support & Continuous Improvement: Monitor the product's effectiveness and performance post-launch, gathering insights and feedback to inform future enhancements. Lead initiatives for continuous product improvement by analyzing customer usage patterns and market feedback. Ensure that the product evolves in response to new network technologies, regulatory requirements, and customer demands. 7. Documentation & Reporting: Maintain comprehensive product documentation, including user guides, product specifications, release notes, and best practices for cross-domain assurance products. Provide regular updates and performance reports to senior management and other stakeholders, including key metrics, product adoption rates, and roadmap progress. Qualifications: Education: Bachelor’s degree in Telecommunications, Engineering, Computer Science, or a related field. Master’s degree or equivalent is a plus. Experience: Minimum of 5-7 years of experience in telecom product management or multi-domain network assurance. Proven experience in managing assurance products that span multiple network domains (core, access, transport, service layers). In-depth knowledge of telecom network technologies preferably in transport (IP/MPLS, SD-WAN, fiber, optical etc.) and cross-domain service management. Familiarity with emerging telecom technologies, including SD-WAN, network virtualization, and 5G, as they pertain to cross-domain assurance. Proficient in using network management tools, performance monitoring platforms, and analytics platforms.

Your role as a Technical Program Manager is to help our clients across geographies & verticals deliver their strategic priorities.. The ideal candidate will have a strong background in project and product management, exceptional leadership and communication skills, and a proven track record of driving successful outcomes in a fast-paced environment.. Typical work week looks like:-. Achieving excellence in client experience with focus on digital initiatives, CRM, client onboarding and suitability.. Supporting transformational change including business change initiatives, post merger integration PMO.. At client projects your responsibilities can typically include but is not limited to. Strategy, business case and target operating model definition. Business analysis and business process re engineering based on industry best practices and our accelerators. Project management. Risk management. Change management. Organization design and development. Our ideal candidate should have:-. A combination of Btech (computer science, IT, any other related field) + MBA (Business Management, Project Management, Statistics or any other related field). A Techie turned into a Program / Product Manager.. 5+ years of experience managing AI/ML-based B2B products with a background in technical program management or engineering preferably in a fast-paced environment.. 2+ Years of experience in leadership/team management, with the ability to effectively collaborate with cross-functional teams.. Experience within a management consulting company would be a plus.. Proven track record in successfully managing complex projects from initiation to completion.. Exceptional leadership and team management skills, inspiring and guiding cross-functional teams to excel.. Excellent communication skills with structured thinking & clear logical thought processes. Strong Client Management skills which include expectation management, project scoping, and sequencing assistance, and is the internal voice of the client within ORI and vice versa.. Strong problem-solving and decision-making abilities, focused on delivering top-notch results.. The ability to present ideas and cross-sell/upsell offerings to clients in a convincing manner and the ability to present to internal teams the client requirements, expectations, reviews, and next steps.. What you can expect from ORI:-. Passion & happiness in the workplace with great people & open culture with amazing growth opportunities.. An ecosystem where leadership is fostered builds an environment where everyone is free to take necessary actions to learn from real experiences.. Chance to work on the cutting edge of technology.. Freedom to pursue your ideas and innovate with multiple technologies. Join our dynamic team and be part of driving success and leading projects that make a real impact!. Apply your exceptional project management expertise and leadership skills to deliver remarkable. outcomes for our organization..

Prompt Engineer Job Summary: Prompt Engineer, Gen AI, GPT 4, Python, NLP, Azure. Prompt engineers having AI and NLP AI models and Python skills Expertise in Prompt Engineering worked on GPT4 and other variants of GPT model Developing testing and refining AI generated text prompts Collaborating with content product and data teams to align prompts with the user needs Continuously improving prompt quality performance and the overall AI prompt generation process Prompt tuning in context Learning Prompt modification Python GenAI Engineer Job Summary: AI Engineer, Gen AI, NLP, Python, RAG, Azure, ML, Deep Learning AI Engineer, Python and GenAI Developed multiple products features Deep Learning, NLP, Graph analytics, Cognitive search, Image Process Automation, LangGraph and LangSmith Expertise in building services to scale the AI model capabilities Python Azure function SQL DB Cognitive search Evaluation Metrics RAGAS Advance RAG AI/ML+ RAG Engineer Job Summary: Machine Learning & NLP, RAG & Text-to-SQL, Azure Cloud, Model Optimization & Fine-Tuning, Python (LangChain, LlamaIndex),Data Analytics & SQL Develop and optimize AI models for business-specific use cases. Perform data analysis, feature engineering, and model training. Implement and fine-tune NLP and machine learning algorithms. Evaluate model performance and ensure continuous improvements. Work with engineers to deploy models in production environments.

Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment

Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment

Hi, We Have a job Opening For Java Architect - Chennai/Pondicherry Experience: 12+ Years Location: Chennai/Pondicherry Job Description: Bachelor's degree in Computer Science, Engineering, or a related field; a Masters degree is advantageous. Experience in the range of 12 to 16 years. Demonstrable experience as a Software Architect, with a portfolio of designed complex software solutions. Expereince in software development and coding in various languages (Node, Java, etc.). Expertise in AI and machine learning concepts, algorithms, and frameworks. Expertise in software and application design, Architecture, application frameworks and best practices Strong architectural and design skills, with the ability to create scalable and maintainable solutions. Excellent communication and interpersonal skills, with the ability to interact with both technical and non-technical stakeholders. Ability to explain complex technical information for non-technical audiences. Familiarity with cloud technologies (e.g., AWS, Azure) and their integrations Strong grasp of software quality assurance principles. Interested Candidates can send me your updated cv to santhana@trinityconsulting.asia

Total AI Systems, Inc., headquartered in Lansing, Michigan, specializes in developing commercial software solutions that utilize advanced artificial intelligence to improve business efficiency. We are a profitable, product-based company with offices in the United States, India, and Canada. Our team is made up of rockstars who know that delivering a rockstar performance for our customers means going above and beyond. Whether its early mornings, late nights, or continuous practice and refinement, we are dedicated to providing our very best and having a lot of fun along the way. We take care of our employees, and in turn, they take care of us. We're seeking individuals who are ready to go the extra mile and join us on this journey! We are currently seeking AL/ML Engineers to join our dynamic team. The ideal candidate will possess deep technical expertise in machine learning and artificial intelligence, with a proven track record of developing scalable AI solutions. Your role will involve everything from data analysis and model building to integration and deployment, ensuring our AI initiatives drive substantial business impact. The following are some of the responsibilities for this position: Develop end-to-end AI/ML solutions with a strong focus on GenAI, NLP and predictive analytics. Identifying problems in the current product and working in tandem with AI and backend engineers or the implementation of the solutions to these problems and train/optimize/validate models for all the identified ML/AI/NLP/CV/GenAI problems. Experience delivering and maintaining productionized end-to-end Machine Learning solutions, form data preparation, experimentation, model training, model serving and model update. Design, train, and deploy ML models to production environments. Collaborate with developers, designers and product managers to build scalable and effective solutions. Write clean, maintainable and efficient code in Python and Node.js. Work with various databases (SQL, NoSQL, RDB, etc.) and ensure data integrity. Design and develop backend logic to support ML applications. Leverage cloud platforms (preferably AWS) for deploying and managing AI solutions. Use Docker to containerize applications for streamlined deployment. Continuously explore and integrate new ML tools, frameworks and best practices. This is an exciting position with a growing company and offers a lot of upsides. This is a challenging position that requires dedication and determination. Some requirements of the position include: 1-3 years of experience in machine learning engineering or AI, preferably in a SaaS environment. Hands on experience in NLP and generative AI models, with a solid foundation in Python, node js and exposure in model fine-tuning and training. Experience working in a small, product-based company with a hands-on approach. Proven track record of building and delivering software products in a small team environment. Solid understanding of databases (SQL, NoSQL, Relational Database, Low-code, No-code) and data modeling. Experience deploying ML models and services in production environments. Should have experience with NLP, GenAI technologies and cloud platforms (AWS preferred). Working knowledge of Docker for application deployment. Strong software engineering skills with an interest in end-to-end development. Passion for learning and exploring new technologies. Good to have familiarity with PHP.

Urgent hiring for LLM - Application / Cyber Security Engineer Preferred Expertise Application Security, Secure Coding, Machine Learning for Cybersecurity, Software Development & Code Analysis Apply anisha.roy@styleinconsultancy.com or 9123358006

Job description and other details 1. Location & Work Mode The candidate must be based in Bangalore and willing to work in a hybrid mode (partial work-from-office). 2. Required Experience & Expertise Experience: 2 to 5 years in AI/ML development, with a focus on Generative AI & AI-driven system modernization . Candidates must have hands-on experience in Enterprise Systems and AI-related projects (POCs or production-level AI implementations) . Experience with AI-powered tools for SDLC modernization, code migration, and enterprise AI adoption is a plus. 3. Key Technical Skills Candidates should possess the following skills: A. AI/ML Expertise Strong Python programming skills Hands-on experience with GenAI models, LLMs/SLMs (real-world projects preferred) Proficiency in Machine Learning & Deep Learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Understanding of MLOps pipelines and AI model deployment B. System Modernization & Enterprise Tech Stack Basic to intermediate knowledge of : Java, Spring, React, Kotlin, and Groovy PL/SQL (for modernization projects) Experience or willingness to work on AI-driven migration projects (e.g., PL/SQL to Emery, JS to Groovy DSL ) Strong understanding of AI-assisted code refactoring and testing frameworks C. AI Integration in Enterprise Systems Ability to integrate AI models into enterprise workflows & applications Experience with API development & AI model integration Familiarity with Git, CI/CD pipelines, and DevOps tools 4. Preferred Qualifications Minimum of 2 successful AI/ML POCs or production deployments . Prior experience in AI-assisted coding, AI-powered automation, AI-based DevOps. Strong problem-solving skills and ability to work in collaborative environments . Good communication skills , as candidates will be involved in training and supporting internal teams.

Role Overview: We are seeking a dynamic Senior Engineering Manager who will play a pivotal role in leading and growing our engineering teams. This individual will oversee the delivery of high-impact systems and products, from concept to completion, while managing a team of engineers and collaborating with cross-functional teams. The ideal candidate will bring a deep understanding of system design, strong technical expertise in modern technologies, and the ability to inspire, mentor, and lead a diverse engineering team. Experience with Node.js, React.js, TypeScript, Cloud platforms, and AI/ML technologies is highly desirable. Key Responsibilities: Team Leadership and People Management: Lead, mentor, and inspire a team of engineers, fostering a culture of innovation, collaboration, and continuous learning. Manage the career growth, performance, and development of team members. Foster a high-performance, agile, and inclusive environment. Provide guidance on technical and operational challenges to engineers, helping them grow both technically and professionally. Delivery Management: Oversee the end-to-end delivery of engineering projects, ensuring timely and high-quality releases. Collaborate with product, design, and other engineering teams to align on project goals, timelines, and requirements. Ensure that projects are executed in line with agile methodologies, balancing speed with technical excellence. Drive continuous improvement in delivery processes, monitoring key metrics, and mitigating risks. System Design and Architecture: Lead the design and architecture of scalable, reliable, and high-performance systems. Collaborate with other senior technical leaders to establish best practices and ensure that system design meets business needs and technical requirements. Ensure that systems are designed with a focus on maintainability, scalability, and security. Technical Expertise: Provide hands-on technical leadership in areas such as Node.js, React.js, TypeScript, Cloud technologies (AWS, Azure, GCP), and AI/ML. Ensure that the engineering team is aligned with the latest technology trends, tools, and practices. Assist in solving complex technical challenges and drive technical decision-making. Collaboration and Stakeholder Management: Collaborate closely with product managers, designers, and other stakeholders to ensure that engineering efforts align with the companys strategic objectives. Communicate engineering progress, challenges, and risks to senior leadership and stakeholders. Qualifications: Experience: 7+ years of experience in software engineering, with at least 3+ years in an engineering management or leadership role. Proven experience in delivering complex systems and projects in fast-paced, agile environments. Strong experience with system design and architecture for scalable, cloud-based solutions. Technical Skills: Proficiency in Node.js, React.js, TypeScript, and modern JavaScript frameworks. Experience with cloud platforms (AWS, Azure, GCP) and deploying scalable applications. Familiarity with AI/ML technologies and how they integrate with cloud services. Strong understanding of software engineering best practices, including code reviews, testing, CI/CD pipelines, and version control. People Skills: Experience managing and mentoring engineering teams. Strong interpersonal and communication skills with the ability to engage with technical and non-technical stakeholders. Ability to lead by example and motivate teams toward achieving engineering excellence.

About Pro-Manage Pro-Manage is a pioneering tech- and AI-based Marketing-as-a-Service platform developed to serve multi-location enterprise clients increase, manage and measure digital engagement opportunities with prospects and customers, leveraging several valuable business and technology partnerships with global leaders such as Google GMB/Chat, Microsoft Bing, Meta WhatsApp/Instagram, Knowlarity Cloud telephony and others. Pro-Manage is a powerful and sophisticated marketing SaaS platform that has attracted highly regarded brands as its clients: Indian Oil, Shriram Finance, Apollo Pharmacy, Naturals, Sterling Resorts, Muthoot Finance, Aadhaar Housing Finance, Shriram Transport Finance, City Union Bank, O2 Spa, Page 3 Salons, Urban Nomads, CADD Centre and more. ProManage is developed using advanced technologies, design thinking, continuous discovery, agile development and product management methodologies. The cross-functional Pro-Manage team uses integrated customer-centric product-led marketing and growth paradigms designed to attract and retain targeted customers, maximizing life-time value and minimizing customer acquisition efforts and costs. Pro-Manage is developed and offered by Sulekha, one of Indias largest digital business and consumer brands that has transformed local services ecosystem through a AI-based need fulfillment and monetization platform that generates millions of qualified, parameterized service requests to local service SMBs every day in 40 cities. Pro-Manage aspires to be the dominant, industry-leading and technologically the most sophisticated marketing SaaS platform in India with 500+ enterprise customers in the next two years. Pro-Manage and Sulekha have three of the most well-regarded firms as its investors: Norwest Venture Partners (Palo Alto, US), Mitsui (Tokyo), and GIC (sovereign wealth fund of Singapore). Responsibilities: • Design, Architect, and Develop software solutions based on suitable design patterns • Adopt new and emerging technologies to provide solutions • Collaborate with cross-functional teams to understand business requirements and translate them into machine learning problems. • Work alongside data scientists and software engineers to integrate machine learning models into production systems. • Identify technical issues and provide resolution. • Design, develop, and implement machine learning models for various business applications, including predictive analytics, recommendation systems, natural language processing, and computer vision. • Stay up to date with the latest advancements in AI and machine learning techniques. • Ensure that machine learning pipelines and systems are scalable, efficient, and robust • Excellent communication and interpersonal skills. Qualifications BE / Masters in computer science Critical Skills • Proven experience as a Machine Learning Engineer, AI Engineer, or similar role (typically 2+ years) • Experience writing software in Python, Scala, R, or similar. • Familiarity with cloud platforms like AWS, Google Cloud or Microsoft Azure for deploying models at scale. • Solid understanding of machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning, etc.) • Experience with data structures, algorithms, and software design. • Experience in using any LLM models in real-time projects. • Proven ability to work as part of cross-functional delivery teams in an Agile delivery environment. • Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience. • Strong problem-solving skills with the ability to think critically and creatively. • Ability to break down complex business problems into machine learning solutions. Desired skills • Experience with machine learning libraries and frameworks • Expertise in data manipulation and analysis • Experience with big data technologies. • STS (Speech to Text & Text to Speech) #ASR (Automated Speech Recognition) Engine Exposure. • Great OO skills, including strong design patterns knowledge. • Familiarity with relational databases, NoSQL. • Out-of-the-box thinking, and in-depth problem-solving. Personal skills • Result- and outcome-orientation • High degree of enthusiasm, dynamism, and drive to succeed • Capacity for hard work and perseverance • Maturity to collaborate with peers to achieve overall success • Capability to nurture and motivate direct reports to high success

Job Title: Senior Software Engineer Python Experience: 3-5 Years in Django, Flask, VMS, NVR)' About Kadel Labs: At Kadel Labs, we pride ourselves on being at the forefront of technological innovation, delivering cutting-edge solutions across diverse domains. We are looking for a talented and driven Python Developer to join our dynamic team and contribute to our exciting projects in video management systems and AI-driven applications. Responsibilities: Develop and maintain robust web applications using Django, Flask, and custom Python frameworks. Lead the design and implementation of Video Management Systems (VMS) and Network Video Recorder (NVR) web projects. Work extensively with video streaming technologies and protocols such as RTSP, HLS, and WebRTC. Design and integrate AI-based alert and notification systems for live and recorded video feeds. Develop APIs for real-time video processing and management functionalities. Collaborate with cross-functional teams to define, design, and deliver new features. Write clean, scalable, and well-documented code adhering to industry standards. Identify, troubleshoot, and resolve performance bottlenecks and application issues. Requirements: 3-5 years of proven experience in Python development. Strong proficiency in Django and Flask frameworks. Exposure to custom Python frameworks (preferred). Hands-on experience with video streaming protocols and technologies. Knowledge of VMS and NVR systems. Basic understanding of AI frameworks such as YOLO, OpenCV, or TensorFlow. Proficiency in version control tools like Git. Excellent communication and problem-solving skills. Nice-to-Have Skills: Experience working with 360-degree video applications. Familiarity with MediaMTX or similar streaming servers. Working knowledge of Docker, Kubernetes, and CI/CD pipelines. Why Join Kadel Labs? Opportunity to work on innovative projects in cutting-edge technologies. A collaborative and inclusive work environment. Competitive compensation and growth opportunities. Access to learning resources and professional development. If you are passionate about Python development and eager to make an impact, Kadel Labs is the perfect place for you. Join us and be a part of our exciting journey!

About Us: We are an innovative AI startup driving disruptive solutions in the tech landscape. We're looking for a seasoned MEAN Stack Developer who is passionate about building scalable applications and working in a dynamic, fast-paced environment. If you're a self-starter who thrives on challenges and wants to be part of a growing company, this role is for you! Experience required: 5-10 years years Key Details: Roles & Responsibilities: Full-Stack Development: Lead the development of scalable, high-performance web applications using the MEAN stack (MongoDB, Express.js, Angular, and Node.js). Application Architecture: Design and implement robust, maintainable, and scalable back-end and front-end architectures for web applications. Code Optimization: Ensure quality and responsiveness of applications through code optimization, performance tuning, and regular testing. API Development: Create, maintain, and manage RESTful APIs and services to connect applications to backend services and databases. Database Management: Develop and maintain database schemas, query optimization, and data migrations using MongoDB. Version Control: Collaborate using version control tools (e.g., Git) to manage development workflow and maintain code quality. Team Collaboration: Work closely with cross-functional teams (UI/UX, QA, DevOps) to translate requirements into technical solutions, ensuring seamless delivery. Agile Development: Actively participate in Agile/Scrum methodologies, daily stand-ups, and sprint reviews to drive projects forward efficiently. Problem Solving: Diagnose and resolve complex bugs and application issues to maintain stability and performance. Mentoring: Provide guidance and mentorship to junior developers, helping to upskill the team and foster innovation. Continuous Learning: Stay up to date with the latest trends, tools, and practices in MEAN

Only read further if you are ready to become a founder and build your own startup or cobuild a startup with others. This is an invite to join build3 and do exactly that. If this is not you, you can stop reading here. Location : Goa, India (Remote options available) Job Type : Full-time, All the time! (Is there any other way to build a startup :) About build3 : build3 is dedicated to helping entrepreneurs turn their ideas into scaleable startups that not only generate profit but also make a positive impact on the world. Our build3 Impact Accelerator (biA) is designed to support such entrepreneurs in their journey. What's the Role? : Are you an aspiring entrepreneur with a vision to make the world a better place? Do you have an idea that aligns with the United Nations Sustainable Development Goals (UNSDGs)? Build3's Impact Accelerator program could be the perfect opportunity for you. As a Founder in Residence, you will participate in a comprehensive 10-week accelerator program aimed at transforming your idea into a viable startup. Upon successful completion, you will have the opportunity to secure funding of up to INR 25 lakh and gain access to build3's venture builder support. What Can You Expect? : Our Accelerator Program Will Enable You To: Upskill as a founder with structured workshops and keynote sessions. Learn from mentors including successful founders and industry experts. Find a co-founder to complement your skills. Pitch your startup to build3 to unlock INR 25 lakh in funding. Join a curated community that supports you even beyond the program. In summary, we offer Capability, Community, and Capital to help you succeed. Plus, you can participate in the program from the comfort of your home or join us at our beach side villa in Goa. Who We're Looking For : Aspiring founders or those already building an early-stage startup. Entrepreneurs with ideas that contribute to the UNSDGs. Individuals seeking a partner who acts as a guide in their startup journey. Entrepreneurs looking for structured support to create a successful startup. Founders who want to join a community of like-minded individuals. Individuals looking for a co-founder. Who We're NOT Looking For : Individuals seeking ONLY investments. We provide more than just financial support. About Build3's Track Record : build3 has incubated 47 impact startups and invested in 16. We recently launched our third cohort with 50 impact founders from all over India. Cohort 5 starts on May 19th, 2025. Interested? : If you believe you fit the bill and are eager to create or scale your impact startup, we encourage you to apply using the fast track link ahead! https://form.typeform.com/to/euUOBKEP?utm_source=xxxxx&utm_medium=naukri&utm_campaign=xxxxx&utm_term=xxxxx&utm_content=xxxxx&typeform-source=www.build3.org

? Collaborate with cross-functional teams to understand project requirements and objectives. ? Assist in data collection, preprocessing, and cleaning for training ML models. ? Develop, train, and evaluate machine learning models in NLP, speech to text and text to speech. ? Implement and deploy ML models into production systems. ? Process automation and integration into the third-party platforms with focus on financial services platforms. ? Monitor and optimize the performance of deployed models. ? Conduct experiments to fine-tune algorithms and improve model accuracy. ? Stay updated with the latest trends, tools, and technologies in the ML space. Minimum Qualifications and Experience: ? Bachelor?s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field with a minimum of 3-4 years of experience. Required Expertise: ? Strong understanding of fundamental ML concepts, algorithms, and techniques (e.g., supervised, unsupervised learning). ? Proficiency in programming languages such as Python or R. ? Familiarity with ML libraries/frameworks like TensorFlow, PyTorch, or scikit-learn. ? Knowledge of data manipulation and analysis using tools like Pandas and NumPy. ? Familiarity with cloud platforms (e.g., AWS, Google Cloud, or Azure). ? Understanding of database systems (SQL or NoSQL). ? Experience with version control systems like Git. ? Basic knowledge of software engineering principles. ? Problem-solving and critical thinking. ? Strong communication and collaboration skills. ? Eagerness to learn and adapt in a fast-paced environment. Other terms: ? The position is contractual, full time in nature and subject to periodic performance reviews.

Job Title: Product Owner Location: Noida -59 Department: Product Management Reports To: Director Key Responsibilities: Define and communicate the product vision, strategy, and roadmap in collaboration with stakeholders. Manage and prioritize the product backlog, ensuring alignment with business objectives. Work closely with cross-functional teams, including engineering, UX/UI, marketing, and sales, to deliver high-quality SaaS solutions. Translate customer needs and business requirements into detailed user stories, epics, and acceptance criteria. Conduct market research and competitive analysis to inform product decisions. Act as the primary point of contact between stakeholders and development teams. Ensure the Agile development process is followed, participating in sprint planning, stand-ups, and retrospectives. Continuously gather feedback from users and stakeholders to improve the product. Monitor key product metrics to assess performance and drive data-driven improvements. Maintain up-to-date documentation related to product features and processes. Qualifications & Experience: Bachelor's degree in Computer Science, Business, or a related field. MBA is a plus. 5+ years of experience as a Product Owner in a SaaS-based organization. Strong knowledge of Agile methodologies (Scrum, Kanban) and product management frameworks. Experience with product management tools such as Jira, Confluence, or similar. Expertise in stakeholder management and ability to balance competing priorities. Strong understanding of SaaS business models, customer acquisition, and retention strategies. Experience with data-driven decision-making using analytics tools (Google Analytics, Tableau, Power BI, etc.). Knowledge of API integrations, cloud platform and modern software development methodologies . Familiarity with UX/UI best practices and prototyping tools (Figma, Adobe XD, InVision). Strong understanding of SQL, NoSQL databases, and data warehousing concepts. Excellent communication, leadership, and problem-solving skills. Ability to work in a fast-paced, dynamic environment and drive continuous improvement. AI hands-on Experience is must. Tools & Technologies: Product Management: Jira, Confluence, Trello Analytics & Reporting: Google Analytics, Tableau, Power BI Development & Integration: RESTful APIs, Webhooks Cloud Platforms: AWS, Azure Version Control & CI/CD: Git, GitHub, Bitbucket, Jenkins UX/UI & Prototyping: Figma, Adobe XD Database & Data Processing: SQL, NoSQL, MongoDB, PostgreSQL About Co-Founders: Abhishek Jain (Co-Founder & Director) , a postgraduate from the University of Northampton, England spearheads WebBee Global's solutions for scaling eCommerce merchants. With two decades of exposures in the area of application development, integrations and customization, he started WebBee Global in 2005. Himani Jain (Co-Founder & Director) is passionate about building a culture that fosters collaborations, creativity, and growth. She's also the Marketing Head of the company who's committed ensure the security of every individual associated with the organization in order to deliver top-quality software solutions that helps eCommerce businesses scale. Why Join Us? Opportunity to work with a growing SaaS company that is shaping the future of [industry]. A collaborative and innovative work culture. Competitive salary and benefits package. Professional growth opportunities. The biggest Opportunity is working with founders. If you are passionate about building impactful SaaS products and thrive in an Agile environment, wed love to hear from you! Apply today to join our team & Share your CV at Harshit.tripathi@webbeeglobal.com

14+yrs including a min 7yrs in the IT Services industry Should have worked at least 5 years in big IT organization at senior position and driving Digital initiative sales Exposure into Global Markets for Enterprise Accounts in at least 3 of these Required Candidate profile Regions - USA, Europe, APAC, India and Middle-East Must have managed a team of sales professionals Demonstrated ability to build Principal Relationship and bring Growth for the business

Job description and other details 1. Location & Work Mode The candidate must be based in Bangalore and willing to work in a hybrid mode (partial work-from-office). Fully remote (WFH-only) candidates will not be considered . 2. Required Experience & Expertise Experience: 2 to 5 years in AI/ML development, with a focus on Generative AI & AI-driven system modernization . Candidates must have hands-on experience in Enterprise Systems and AI-related projects (POCs or production-level AI implementations) . Experience with AI-powered tools for SDLC modernization, code migration, and enterprise AI adoption is a plus. 3. Key Technical Skills Candidates should possess the following skills: A. AI/ML Expertise Strong Python programming skills Hands-on experience with GenAI models, LLMs/SLMs (real-world projects preferred) Proficiency in Machine Learning & Deep Learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Understanding of MLOps pipelines and AI model deployment B. System Modernization & Enterprise Tech Stack Basic to intermediate knowledge of : Java, Spring, React, Kotlin, and Groovy PL/SQL (for modernization projects) Experience or willingness to work on AI-driven migration projects (e.g., PL/SQL to Emery, JS to Groovy DSL ) Strong understanding of AI-assisted code refactoring and testing frameworks C. AI Integration in Enterprise Systems Ability to integrate AI models into enterprise workflows & applications Experience with API development & AI model integration Familiarity with Git, CI/CD pipelines, and DevOps tools 4. Preferred Qualifications Minimum of 2 successful AI/ML POCs or production deployments . Prior experience in AI-assisted coding, AI-powered automation, AI-based DevOps. Strong problem-solving skills and ability to work in collaborative environments . Good communication skills , as candidates will be involved in training and supporting internal teams. Location: AMR Tech Park 3B, No. 23 & 24, IndiQube Building, 1st Floor, Hongasandra Village, Begur Hobli, Hosur Road. Bengaluru – 560068

Job Title: Artificial Intelligence (AI) Engineer (Python) Location: Mohali, Chandigarh Experience : 5+ Years Job Type: Full Time NP: Immediate to 30 Days JOB SUMMARY: Responsible for the development, creation, and modification of computer application software and/or specialized utility programs. The Software Developer will analyze user needs and develop software solutions, as well as design software or customize software with the aim of optimizing operational efficiency. The Software Developer will work both individually as well as in coordination with the rest of the team. ESSENTIAL JOB FUNCTIONS: Requires a demonstrated ability to work independently with minimal supervision and with a strong and innovative approach to problem-solving and finding solutions. Strong Analytical skills to understand the business requirements and suggest optimal solutions to the customer. Ability to work with the client/teams on technical issue resolutions. Must be able to work on all phases of the modeling process: Data Analysis, Exploratory Data Analysis, Research, Predictive Model design and solution, AI Models' Development & Model Validation. Transforming ML models to APIs Designing & managing the AI development process Knowledge of Neural Networks Collaborate with team members to determine the best practices and client requirements for software applications. Develop intuitive software applications that meet and exceed the needs of the company/customer. Professionally maintain all software and create updates regularly to address customer and company concerns. Ensure software security by developing programs to actively use the standard guidelines defined by the company/industry standards. Involved in Code reviews to ensure code developed meets coding best practices guidelines. Adheres to policies, procedures, and standards as set forth by the company/client. Should have strong verbal and written English communication skills. Self-organized and able to handle stressful situations in the completion of assignments without compromising on quality. Educational Qualifications: Bachelors / Master’s Degree in Computer Science, Software Engineering, or related field is required. Technical Skills – Mandatory: Python TensorFlow working experience. Should have knowledge of NumPy, Pandas, or Keras. Machine Learning, Statistical modeling techniques Databases: MySQL, Postgres, and MongoDB Technical Skills – Good to have: PyTorch Scikit-learn Open CV Django Node JS GIT, Docker, and CICD processes