9814 Tensorflow Jobs - Page 48

Design and implement NLP solutions for text classification, sentiment analysis, information extraction, entity recognition, summarization, cross-referenced searches etc. Conduct experiments and evaluate model performance. Optimize model performance. Required Candidate profile Strong programming skills in Python. Experience in NLP libraries and frameworks. Experience in deploying models. Experience with MLOps tools for model training, tracking, and deployment

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs. We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Position Overview: We are looking for a highly motivated and curious Python Developer who can work on developing automation frameworks and Gen AI aided tools to enhance productivity of our Engineers. This role will involve working on cutting-edge internal tools and R&D initiatives leveraging modern advancements including Generative AI and Large Language Models (LLMs). Main Duties / Responsibilities: Develop and maintain TAF (Test Automation Framework) which is in Django, Ninja, React-JS Develop, integrate and maintain LLM-based applications and tools using Python. Work on prompt engineering, model fine-tuning, and API-based integrations (e.g., OpenAI, Hugging Face). Contribute to the development of Retrieval Augmented Generation (RAG) systems. Assist in preparing datasets and pipelines for training and inference. Prototype AI-powered features, assistants, or copilots for internal use cases. Collaborate closely with team members in iterative development and research-driven experimentation. Essential Skills & Qualifications: Must have skills Working experience of 1-3 years. Strong programming skills in Python. Experience in Python, Django, Ninja, GenAI-APIs, LLMS, prompt-engineering Good problem-solving skills and an analytical mindset. Curiosity and eagerness to learn emerging technologies and put them into action. Ability to collaborate effectively in a team setting. Nice to have skills Familiarity with libraries/frameworks like LangChain, Hugging Face Transformers, PyTorch, or TensorFlow. Experience with GenAI tools and APIs (e.g., OpenAI, Cohere, Anthropic). Exposure to MCP Personal or academic projects involving LLMs or generative models. Participation in AI/ML hackathons or competitions. Active GitHub portfolio or contributions to open-source AI projects. Exposure to AWS services Why join us? We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way. An inclusive environment to thrive We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day. Be rewarded for your efforts We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration. Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials. We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply .

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Title: – Senior Manager Technology Location: Remote Function/Department: Technology Job Summary: The Senior Manager – Technology will be responsible for overseeing the implementation of contact center solutions, developing and integrating Generative AI (GenAI) technologies, and writing code modules. The ideal candidate will have a strong background in Python and a proven track record in managing technology projects. Our ideal candidates should be familiar with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment. To build high-quality, innovative, and fully performing software that complies with coding standards and technical design Required Skills: Proven experience in implementing contact center solutions. Experience in any one contact center application (Genesys, Five9, Cisco, Avaya, Aws Connect, Twilio etc) Strong troubleshooting skills. Applicant must be able to determine the causes of complex problems Strong proficiency in Python programming. Experience with Generative AI (GenAI) development and integration. Knowledge of TensorFlow, Keras, PyTorch, or Scikit-learn for developing machine learning models. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud Expertise in database design, technical documentation Excellent problem-solving and analytical skills. Strong leadership and team management abilities. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Roles and Responsibilities: Lead the implementation of contact center solutions, ensuring seamless integration and optimal performance. Develop and integrate Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Execute full software development life cycle (SDLC) Troubleshoot and resolve technical issues in a timely manner. Qualifications: Information Technology, or a related field. Minimum of 12+ years of experience in technology management or a similar role. Demonstrated experience in managing technology projects from inception to completion. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Company Overview: Techmindz is a premier IT training institute located in Infopark, Kochi, backed by NDimensionz and recognized for industry‑aligned, hands‑on training programs with strong placement support. Key Responsibilities Conduct structured and interactive training sessions on core AI concepts including Machine Learning, Deep Learning, and Data Science tools. Develop and maintain engaging course content—slide decks, coding notebooks, real-world datasets, projects, and assessments. Guide students through hands-on labs, algorithm implementation, and use-case-based projects. Evaluate student progress via quizzes, assignments, capstone projects, and provide personalized feedback. Stay updated with the latest trends in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Collaborate with the curriculum team to refine learning paths and keep content industry-relevant. Contribute to faculty discussions to ensure quality training delivery and continuous improvement. Requirements Bachelor’s degree in Computer Science, Data Science, or a related field. 1–2 years of experience in AI/ML development or teaching/training in related domains. Strong grasp of supervised/unsupervised learning, neural networks, model evaluation, and data preprocessing. Hands-on experience with Python and key libraries (NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/PyTorch). Familiarity with Jupyter Notebooks, version control (Git), and data visualization tools. Excellent communication and presentation skills with the ability to explain complex topics clearly. Prior teaching/training or mentorship experience is an added advantage. Exposure to real-world datasets, cloud AI tools (Google Colab, AWS SageMaker), or certifications is a bonus. How to Apply Send your resume (highlighting AI/ML projects, teaching exposure, and certifications if any) to: careers@techmindz.com Job Types: Full-time, Freelance Pay: ₹200,000.00 - ₹500,000.00 per year Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Teaching: 1 year (Preferred) Language: English (Preferred) Work Location: In person

We are seeking a skilled and motivated Data Scientist with 3–5 years of hands-on experience in data analytics, machine learning, and business intelligence. The ideal candidate will be responsible for deriving actionable insights from data, building predictive models, and supporting data-driven decision-making across various business units. Key Responsibilities: Analyze structured and unstructured datasets to extract insights and identify trends.Design and implement machine learning models for classification, regression, clustering, and recommendation. Collaborate with business stakeholders to understand objectives and translate them into data solutions. Perform data wrangling, preprocessing, feature engineering, and model validation. Build dashboards and reports using visualization tools like Power BI or Tableau. Present findings and recommendations to technical and non-technical audiences. Contribute to model deployment and monitoring processes. Required Skills & Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 3–5 years of industry experience in a Data Scientist or similar role. Proficient in programming languages such as Python or R . Strong experience with data manipulation tools like pandas , NumPy , and machine learning libraries like scikit-learn , XGBoost , or TensorFlow/PyTorch . Solid knowledge of SQL and database querying. Experience with data visualization tools like Power BI , Tableau , or Matplotlib/Seaborn . Familiarity with version control (e.g., Git) and basic software development practices. Preferred Qualifications: Experience working with cloud platforms (AWS, Azure, or GCP). Exposure to big data tools (Spark, Hadoop) is a plus. Knowledge of NLP, time-series forecasting, or deep learning techniques is desirable. Strong problem-solving and communication skills. What We Offer: A collaborative, innovative work environment. Opportunities to work on real-world data challenges across industries. Access to modern tools, cloud platforms, and machine learning infrastructure. Competitive salary and performance-based incentives. Job Type: Full-time Pay: From ₹30,000.00 per month Benefits: Food provided Schedule: Day shift Work Location: In person

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of ML/DL R&D Engineer For Details Contact: hr-cybersecurity@am.amrita.edu Job Title ML/DL R&D Engineer Location Kollam, Kerala Job description Join our research-driven team to develop tools for robustness and fairness testing in AI models, integrating ML/DL research with practical backend development for scalable deployments at Center for Cybersecurity Systems and Networks Key Responsibilities Research and implement adversarial ML techniques (e.g., FGSM, PGD, DeepFool) to test model robustness. Design and run evaluation pipelines that probe AI models for toxic outputs, bias, or misinformation propagation, using established LLM auditing frameworks or evaluation methods. Build scalable, production-ready APIs and tools for model evaluation using FastAPI and Docker. Integrate with libraries and frameworks like IBM ART, Foolbox, and CleverHans. Automate ML testing pipelines with continuous integration/deployment. Maintain reproducible, well-documented code and experiments in a collaborative Git-based environment. Ensure robustness tools are optimized and compatible with Linux-based systems. Required Skills Machine Learning / Deep Learning Strong grasp of ML/DL fundamentals and hands-on experience with PyTorch and TensorFlow. Familiarity with adversarial ML concepts: evasion, poisoning, extraction, etc. Familiarity with fundamentals of LLMs and LLM safety evaluations and auditing. Backend Engineering Proficient in building and deploying APIs with FastAPI or equivalent. Hands-on experience with Docker, Git, Linux shell environments. Familiarity with relational databases such as PostgreSQL, MySQL, or SQLite, including basic querying and integration with backend systems. Others: Strong analytical and problem-solving skills. Ability to work independently in a research + engineering hybrid environment. Strong written communication for documentation and reporting. Last date to apply July 31, 2025

Job Description: Data Scientist / AI Engineer ( Full-Time) Company: Ubon Dairy Products Location: Remote / Hybrid (Kasaragod preferred) Project Type: Logistics Optimization & AI Routing Engine Start Date: Immediate ✅ Responsibilities Design and build a custom AI engine for dynamic delivery route planning and sales optimization. Integrate external APIs (Google Maps, SAP, mobile app APIs). Implement predictive models for order forecasting, stock planning, and delivery performance. Clean and process delivery, outlet, and route data for training AI models. Collaborate with app developers and SAP integrators to deploy models into production. Track and improve model performance through live metrics and feedback. Must-Have Skills Strong experience in Python (Pandas, Scikit-learn, TensorFlow or PyTorch) Hands-on with logistics optimization (TSP, VRP, clustering) Experience using Google Maps API (Directions, Distance Matrix, Geocoding) Proficient in SQL and working with ERP data Understanding of AI model deployment and performance tuning Bonus Skills Familiarity with SAP (especially sales/inventory modules) Experience building route optimization engines for FMCG or dairy Prior experience with B2B delivery operations or mobile-based field apps How to Apply Send your resume and portfolio of past AI/logistics projects to: Ubon.dairy@Gmail.com 97445 55999 Job Type: Full-time Pay: ₹420,000.00 - ₹600,000.00 per year Work Location: In person

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. We are seeking a highly experienced and dynamic Practice Head – Data Science & AI to lead our data practice in Hyderabad. This role is ideal for a technology leader with a strong foundation in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), along with proven experience in building and scaling data practices. The ideal candidate will also have a strong business acumen with experience in solution selling and pre-sales. Key Responsibilities: Leadership & Strategy: Define and drive the strategic vision for the Data Science and AI practice. Build, lead, and mentor a high-performing team of data scientists, ML engineers, and AI experts. Collaborate with cross-functional teams to integrate data-driven solutions into broader business strategies. Technical Expertise: Lead the design and delivery of advanced AI/ML solutions across various domains. Stay abreast of industry trends, emerging technologies, and best practices in AI, ML, and data science. Provide technical guidance and hands-on support as needed for key initiatives. Practice Development: Establish frameworks, methodologies, and best practices to scale the data science practice. Define and implement reusable components, accelerators, and IPs for efficient solution delivery. Client Engagement & Pre-Sales: Support business development by working closely with sales teams in identifying opportunities, creating proposals, and delivering presentations. Engage in solution selling by understanding client needs and proposing tailored AI/ML-based solutions. Build strong relationships with clients and act as a trusted advisor on their data journey. Required Skills & Experience: 12+ years of overall experience with at least 5+ years in leading data science/AI teams. Proven experience in setting up or leading a data science or AI practice. Strong hands-on technical background in AI, ML, NLP, predictive analytics, and data engineering. Experience with tools and platforms like Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, etc. Strong understanding of data strategy, governance, and architecture. Demonstrated success in solutioning and pre-sales engagements. Excellent communication, leadership, and stakeholder management skills.

Experience- 10+ years JD- Generative AI Architect will play a pivotal role in designing, developing, and implementing advanced generative AI solutions that drive significant business impact for our clients. This role offers the exciting opportunity to work at the forefront of AI innovation, leveraging the power of AI. Role Overview: The Generative AI Architect will be responsible for the end-to-end architecture, design, and deployment of scalable and robust generative AI systems. This includes conceptualizing solutions, selecting appropriate models and frameworks, overseeing development, and ensuring the successful integration of generative AI capabilities into existing and new platforms. You will work closely with business stakeholders to translate complex requirements into high-performance AI solutions. Key Responsibilities: Architect and Design Generative AI Solutions : Lead the architectural design of generative AI systems, including model selection (LLMs), RAG and fine-tuning approaches. Azure AI Expertise : Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Python Development : Write clean, efficient, and maintainable Python code for data processing, automation, and API integrations. Model Optimization and Performance : Optimize generative AI models for performance, scalability, and cost-efficiency. Data Strategy: Design data architectures and pipelines to ingest, process, and prepare data for generative AI model training and inference, utilizing Azure data services. Integration and Deployment: Oversee the integration of generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment. Technical Leadership & Mentorship: Provide technical leadership and guidance to development teams, fostering best practices in AI model development, deployment, and maintenance. Research and Innovation: Stay abreast of the latest advancements in generative AI technologies, research methodologies, and industry trends. Drive proof-of-concepts (PoCs) and pilot implementations for new AI capabilities. Collaboration and Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, software engineers, and business analysts, to ensure AI solutions align with business goals and deliver tangible value. Articulate complex technical concepts to non-technical stakeholders. Required Skills and Qualifications: Minimum of 12-16 years of experience in IT, with at least 3+ years specifically focused on Gen AI architecture and development. Technical Proficiency: Deep expertise in Azure Cloud Platform and its AI services Strong proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex). Solid understanding of large language models (LLMs), transformer architectures, diffusion models, and other generative AI techniques. Hands-on experience with prompt engineering, RAG pipelines, and vector databases (e.g., Pinecone, Weaviate, Chroma). Experience with MLOps, CI/CD, and deployment tools (Azure DevOps, GitHub, Kubernetes). Familiarity with RESTful API design and development. Architectural Principles: Strong understanding of cloud architecture, microservices architecture, and design patterns. Problem-Solving: Excellent analytical and problem-solving skills with the ability to think critically and creatively. Communication: Exceptional communication and interpersonal skills, with the ability to convey complex technical concepts clearly to both technical and non-technical audiences. Team Player: Ability to work collaboratively in a fast-paced, agile environment and lead projects with multiple stakeholders. Desirable: Relevant Azure AI certifications Experience with other cloud platforms (AWS). Experience with fine-tuning LLMs for specific use cases. Contributions to open-source AI projects or publications in AI/ML. Job Type: Full-time Pay: From ₹2,000,000.00 per year Schedule: Fixed shift Application Question(s): How many years of total experience do you currently have? How many years of experience do you have in Azure Cloud Platform and its AI services? How many years of experience do you have in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex)? How many years of experience do you have as a Architect? What is your current CTC? What is your expected CTC? What is your notice period/ LWD? What is your current location? How many years of experience do you have in Gen AI architecture?

Job Title: Python Backend Engineer – AWS | GenAI & ML Experience: 5 Years Employment Type: Full-Time Job Summary: We are seeking an experienced Python Backend Engineer with strong AWS expertise and a background in AI/ML to build and scale intelligent backend systems and GenAI-driven applications. The ideal candidate should have hands-on experience building REST APIs using Django or FastAPI and implementing AI/LLM applications using Langchain. Experience with LangGraph is a strong plus. Key Responsibilities: Design, develop, and maintain Python-based backend systems and AI-powered services. Build and manage RESTful APIs using Django or FastAPI for AI/ML model integration. Develop and deploy machine learning and GenAI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Implement GenAI pipelines using Langchain; LangGraph experience is a plus. Utilize AWS services including EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment. Collaborate with data scientists, DevOps, and architects to integrate models and workflows into production. Build and manage CI/CD pipelines for backend and model deployments. Ensure performance, scalability, and security of applications in cloud environments. Monitor production systems, troubleshoot issues, and optimize model and API performance. Required Skills and Experience: 5 years of hands-on experience in Python backend development. Strong experience building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services: EC2, S3, Lambda, SageMaker, CloudFormation, etc. Solid understanding of ML/AI concepts and model deployment practices. Experience with ML libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Langchain for building GenAI applications. Familiarity with DevOps tools: Docker, Kubernetes, Git, Jenkins, Terraform. Good understanding of microservices architecture and CI/CD workflows. Agile development experience. Nice to Have: Experience with LangGraph for agentic workflows or graph-based orchestration. Knowledge of LLMs, embeddings, and vector databases (e.g., Pinecone, FAISS). Exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Understanding of MLOps tools and practices for model monitoring, versioning, and retraining. Job Types: Full-time, Permanent Pay: ₹1,100,000.00 - ₹1,500,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Morning shift Work Location: In person Speak with the employer +91 9966550640

Gen-AI Tech Lead - Enterprise AI Applications About Us We're a cutting-edge technology company building enterprise-grade AI solutions that transform how businesses operate. Our platform leverages the latest in Generative AI to create intelligent applications for document processing, automated decision-making, and knowledge management across industries. Role Overview We're seeking an exceptional Gen-AI Tech Lead to architect, build, and scale our next-generation AI-powered enterprise applications. You'll lead the technical strategy for implementing Large Language Models, fine-tuning custom models, and deploying production-ready AI systems that serve millions of users. Key Responsibilities - AI/ML Leadership (90% Hands-on) Design and implement enterprise-scale Generative AI applications using custom LLMs or (GPT, Claude, Llama, Gemini) Lead fine-tuning initiatives for domain-specific models and custom use cases Build and optimize model training pipelines for large-scale data processing Develop RAG (Retrieval-Augmented Generation) systems with vector databases and semantic search Implement prompt engineering strategies and automated prompt optimization Create AI evaluation frameworks and model performance monitoring systems Enterprise Application Development Build scalable Python applications integrating multiple AI models and APIs Develop microservices architecture for AI model serving and orchestration Implement real-time AI inference systems with sub-second response times Design fault-tolerant systems with fallback mechanisms and error handling Create APIs and SDKs for enterprise AI integration Build AI model version control and A/B testing frameworks MLOps & Infrastructure Containerize AI applications using Docker and orchestrate with Kubernetes Design and implement CI/CD pipelines for ML model deployment Set up model monitoring, drift detection, and automated retraining systems Optimize inference performance and cost efficiency in cloud environments Implement security and compliance measures for enterprise AI applications Technical Leadership Lead a team of 3-5 AI engineers and data scientists Establish best practices for AI development, testing, and deployment Mentor team members on cutting-edge AI technologies and techniques Collaborate with product and business teams to translate requirements into AI solutions Drive technical decision-making for AI architecture and technology stack Required Skills & Experience Core AI/ML Expertise Python : 5+ years of production Python development with AI/ML libraries LLMs : Hands-on experience with GPT-4, Claude, Llama 2/3, Gemini, or similar models Fine-tuning : Proven experience fine-tuning models using LoRA, QLoRA, or full parameter tuning Model Training : Experience training models from scratch or continued pre-training Frameworks : Expert-level knowledge of PyTorch, TensorFlow, Hugging Face Transformers Vector Databases : Experience with Pinecone, Weaviate, ChromaDB, or Qdrant Technical StackAI/ML Stack Models : OpenAI GPT, Anthropic Claude, Meta Llama, Google Gemini Frameworks : PyTorch, Hugging Face Transformers, LangChain, LlamaIndex Training : Distributed training with DeepSpeed, Accelerate, or Fairscale Serving : vLLM, TensorRT-LLM, or Triton Inference Server Vector Search : Pinecone, Weaviate, FAISS, Elasticsearch Infrastructure & DevOps Containerization : Docker, Kubernetes, Helm charts Cloud : AWS (ECS, EKS, Lambda, SageMaker), GCP Vertex AI Databases : PostgreSQL, MongoDB, Redis, Neo4j Monitoring : Prometheus, Grafana, DataDog, MLflow CI/CD : GitHub Actions, Jenkins, ArgoCD Professional Growth Work directly with founders and C-level executives Opportunity to publish research and speak at AI conferences Access to latest AI models and cutting-edge research Mentorship from industry experts and AI researchers Budget for attending top AI conferences (NeurIPS, ICML, ICLR) Ideal Candidate Profile Passionate about pushing the boundaries of AI technology Strong engineering mindset with focus on production systems Experience shipping AI products used by thousands of users Stays current with latest AI research and implements cutting-edge techniques Excellent problem-solving skills and ability to work under ambiguity Leadership experience in fast-paced, high-growth environments Apply now and help us democratize AI for enterprise customers worldwide. Job Type: Full-time Pay: ₹900,000.00 - ₹1,600,000.00 per year Schedule: Monday to Friday Supplemental Pay: Performance bonus

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers.

Company: Chicmic Studios Job Role: Python Machine Learning & AI Developer Experience Required: 3+ Years We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch , TensorFlow , and scikit-learn . Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving , TorchServe , and AWS SageMaker . Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch , TensorFlow , and scikit-learn . Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab. Job Type: Full-time Application Question(s): What is your Native & Current Location? * What is your Highest Qualification? Experience: AI & ML: 2 years (Required) Work Location: In person

Job Title: AI/ML Engineer Location: Mohali Phase 8b Experience - 2 - 4 Years Job Summary: We are seeking a skilled AI/ML Engineer to develop and implement machine learning models and AI solutions. You will work with large datasets, design intelligent systems, and contribute to building scalable AI products. Key Responsibilities: Design, train, and deploy machine learning models. Collaborate with data scientists, engineers, and product teams. Optimize model performance and ensure scalability. Work with frameworks like TensorFlow, PyTorch, or Scikit-learn. Required Skills: Strong understanding of ML algorithms, data preprocessing, and model evaluation. Proficient in Python, and experience with ML libraries. Experience with cloud platforms (AWS, GCP, or Azure) is a plus. Bachelor's or Master’s in Computer Science, AI, or related field. Nice to Have: Experience with NLP, computer vision, or deep learning. Familiarity with MLOps and model deployment pipelines. Contact us @ HR@base2brand.com /7833075330 Job Types: Full-time, Permanent Work Location: In person Speak with the employer +91 07833075330

Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities - Develop, test, and maintain backend applications using Django, Flask, or FastAPI. Build RESTful APIs and integrate third-party services to enhance platform capabilities. Utilize data handling libraries like Pandas and NumPy for efficient data processing. Write clean, maintainable, and well-documented code that adheres to industry best practices. Participate in code reviews and mentor junior developers. Collaborate in Agile teams using Scrum or Kanban workflows. Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications . 2 to 5 years of experience in backend development with Python. Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. Strong command over at least one Python framework (Django, Flask, or FastAPI). Experience with data libraries like Pandas and NumPy. Understanding of authentication/authorization mechanisms, middleware, and dependency injection. Familiarity with version control systems like Git. Comfortable working in Linux environments. Must-Have Skills Expertise in backend Python development and web frameworks. Strong debugging, problem-solving, and optimization skills. Experience with API development and microservices architecture. Deep understanding of software design principles and security best practices. Good-to-Have Skills Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Knowledge of containerization tools (Docker, Kubernetes). Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). Familiarity with Agile practices and tools like Jira or Trello. Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks Competitive Salary: Earn up to ₹10 –18 LPA based on skills and experience. Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,800,000.00 per year Benefits: Leave encashment Paid sick time Paid time off Application Question(s): How many years of experience do you have working with Python in backend development? How comfortable are you with creating and integrating RESTful APIs? Rate your skills in between- 1 to 10. Do you have experience working with Pandas, NumPy, or any data processing libraries in Python? Your Expected Salary..? Your Current salary..? Experience: Python Developer: 3 years (Preferred) Work Location: In person

Job Title: Python Developer – AI/ML Focus About the Role: We are looking for a passionate and skilled Python Developer with a keen interest in Artificial Intelligence (AI) and Machine Learning (ML) technologies. You will be responsible for developing robust web applications, deploying scalable AI/ML models, and integrating modern data solutions to solve real-world problems. This role is ideal for professionals who are eager to work at the intersection of software development and intelligent systems. Key Responsibilities: Design, develop, and maintain web applications using Python frameworks such as Django , Flask , and FastAPI . Build, train, and deploy machine learning models using TensorFlow , PyTorch , and other AI/ML frameworks. Apply data analysis and visualization techniques using NumPy , Pandas , Matplotlib , and Seaborn . Develop RESTful APIs and microservices to support AI-driven applications. Utilize LangChain , LlamaIndex , Vector DBs (e.g., FAISS, Pinecone) for building LLM-based data applications. Perform web scraping using BeautifulSoup , Scrapy , and manage structured data pipelines. Work with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases to store, retrieve, and manage data securely. Integrate applications with cloud platforms like AWS , Azure , or GCP for seamless deployment and scaling. Collaborate with data scientists, DevOps engineers, and other cross-functional teams to deliver high-impact solutions. Stay up to date with advancements in the Python ecosystem , AI/ML models , and OpenAI technologies . Required Skills & Qualifications: Bachelor’s degree in Computer Science , Engineering , or a related field. 1–3 years of experience in Python programming and backend web development. Proficiency in Django , Flask , and FastAPI . Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch. Familiarity with LLMs , LangChain , LlamaIndex , and vector databases is a strong plus. Practical knowledge of data analysis libraries : NumPy, Pandas, Matplotlib. Understanding of API development , HTTP request handling , and web scraping techniques. Experience with cloud deployment on AWS , Azure , or Google Cloud Platform . Working knowledge of DevOps tools : Docker, Kubernetes, Jenkins (preferred). Proficient in version control systems like Git and GitHub. Basic frontend skills in HTML , CSS , and JavaScript . Strong communication skills and the ability to work in a collaborative team environment. Job Type: Full-time Pay: ₹16,478.20 - ₹50,000.00 per month Benefits: Paid time off Provident Fund Work from home Work Location: In person

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

Location: [Hyderabad/Hybrid 4-1] Department: Technology/Engineering Reports To: CTO & CEO Job Description: We are seeking an experienced and highly skilled Senior System/Application Architect to design, implement, and oversee critical enterprise-level systems and applications. The ideal candidate will have deep experience in modern application deployment practices, cloud platforms, and infrastructure management, with a keen eye towards emerging AI technologies as a distinct advantage. Key Responsibilities: Application Architecture: Lead the design and architecture of scalable, resilient, and maintainable solutions for complex applications, aligning with business needs and technology strategy. Application Deployment: Architect and optimize robust CI/CD pipelines ensuring seamless deployment, version control, and rollback capabilities; promote automation throughout the deployment lifecycle. Cloud Management: Architect and manage cloud-native applications on AWS, Azure, or GCP, leveraging best practices for security, scalability, and cost optimization. Infrastructure Oversight: Design and manage infrastructure using Infrastructure as Code (IaC) frameworks (e.g., Terraform, CloudFormation); guide decisions on containerization, orchestration (Kubernetes, Docker), networking, and storage. System Integration: Develop integration strategies for legacy and modern systems, ensuring data consistency, security, and high performance. AI & Advanced Technologies: (Bonus) Collaborate on AI and ML-driven solutions—incorporate AI tools or frameworks into system design when relevant. Governance & Best Practices: Define and educate on architectural standards, governance, and documentation; conduct architecture reviews and technical mentoring. Performance & Security: Recommend strategies to optimize system performance, scalability, and security in production environments. Required Skills & Experience: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in software engineering/architecture including significant hands-on deployment and infrastructure work. Deep experience with at least one major cloud provider (AWS, Azure); certifications a plus. Extensive experience with application deployment strategies and CI/CD processes (Jenkins, GitLab CI, Github Actions etc.). Strong knowledge of containerization and orchestration (Docker, Kubernetes). Solid background in infrastructure management using Terraform, Ansible, or similar tools. Demonstrated ability architecting mission-critical systems with high security and reliability demands. Familiarity with AI/ML concepts, frameworks or deployment patterns (TensorFlow, PyTorch, model serving) is a strong plus. Excellent communication, presentation, and documentation skills. Preferred Qualifications: Experience with hybrid/multi-cloud and on-premise solutions. Exposure to DevSecOps and automated security practices. Knowledge of microservices, event-driven architectures, and API management. Experience working in Agile environments and mentoring junior engineers

Experience: 2+ years in AI/ML, with hands-on development & leadership Key Responsibilities: ● Architect, develop, and deploy AI/ML solutions across various business domains. ● Research and implement cutting-edge deep learning, NLP, and computer vision models. ● Optimize AI models for performance, scalability, and real-time inference. ● Develop and manage data pipelines, model training, and inference workflows. ● Integrate AI solutions into microservices and APIs using scalable architectures. ● Lead AI-driven automation and decision-making systems. ● Ensure model monitoring, explainability, and continuous improvement in production. ● Collaborate with data engineering, software development, and DevOps teams. ● Stay updated with LLMs, transformers, federated learning, and AI ethics. ● Mentor AI engineers and drive AI research & development initiatives. Technical Requirements: ● Programming: Python (NumPy, Pandas, Scikit-learn). ● Deep Learning Frameworks: TensorFlow, PyTorch, JAX. ● NLP & LLMs: Hugging Face Transformers, BERT, GPT models, RAG, fine-tuning LLMs. ● Computer Vision: OpenCV, YOLO, Faster R-CNN, Vision Transformers (ViTs). ● Data Engineering: Spark, Dask, Apache Kafka, SQL/NoSQL databases. ● Cloud & MLOps: AWS/GCP/Azure, Kubernetes, Docker, CI/CD for ML pipelines. ● Optimization & Scaling: Model quantization, pruning, knowledge distillation. ● Big Data & Distributed Computing: Ray, Dask, TensorRT, ONNX. ● Security & Ethics: Responsible AI, Bias detection, Model explainability (SHAP, LIME). Preferred Qualifications: ● Experience with real-time AI applications, reinforcement learning, or edge AI. ● Contributions to AI research (publications, open-source contributions). ● Experience integrating AI with ERP, CRM, or enterprise solutions. Job Types: Full-time, Permanent Pay: ₹100,000.00 - ₹500,000.00 per year Schedule: Day shift Application Question(s): What is your current CTC? Experience: AI: 2 years (Required) Machine learning: 2 years (Required) Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Director Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a SAP consulting generalist at PwC, you will focus on providing consulting services across various SAP applications to clients, analysing their needs, implementing software solutions, and offering training and support for effective utilisation of SAP applications. Your versatile knowledge will allow you to assist clients in optimising operational efficiency and achieving their strategic objectives. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description: A career within SAP Consulting services, will provide you with the opportunity to help our clients maximize the value of their SAP investment with offerings that address sales, finance, supply chain, engineering, and human capital. We provide comprehensive consulting, system integration and implementation services across multiple SAP applications, products and technologies. Simply put, we focus on delivering business led, technology enabled change for our clients including industry specific enterprise resource planning and the latest in mobile, analytics and cloud solutions Responsibilities: • Design and architect AI solutions integrated with SAP systems to enhance business processes and decision-making capabilities. • Collaborate with business stakeholders and IT teams to identify opportunities for AI-driven improvements and innovations. • Lead the development and deployment of machine learning models and AI algorithms tailored to SAP applications. • Ensure that AI solutions are scalable, efficient, and aligned with best practices in AI and SAP environments. • Provide technical leadership and guidance to development teams, ensuring high-quality deliverables. • Stay up-to-date with the latest advancements in AI, machine learning, and SAP technologies to ensure the organization remains at the forefront of innovation. • Define and implement data strategies and pipelines to support AI initiatives within SAP ecosystems. • Participate in the design of cloud-based architectures for hosting AI applications, ensuring robust and secure integrations. • Conduct workshops and training sessions to promote AI literacy and best practices within the organization. • Evaluate and recommend new tools and technologies that can enhance the organization's AI and SAP capabilities. Mandatory skill sets: • Proven experience as an AI Architect or similar role, with a focus on SAP environments. • Strong expertise in SAP technologies, including SAP S/4HANA, SAP Cloud Platform, and SAP Leonardo. • Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, or similar. • Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in deploying AI solutions. • Strong programming skills in languages such as Python, Java, or R. • Excellent problem-solving skills and the ability to work effectively in a collaborative environment. • Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Preferred skill sets: • Experience with natural language processing (NLP) and computer vision applications within SAP environments. • Familiarity with data visualization tools and techniques. • Experience in agile development methodologies. Years of experience required • 15-25 Yrs experience Education Qualification • BE/BTech/MBA/MCA/CAs Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP Architecture Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Business Case Development, Business Process Improvement, Change Control Processes, Coaching and Feedback, Communication, Costing, Creativity, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Innovation, Intellectual Curiosity, IT Project Lifecycle, Kanban (Project Management), Learning Agility, Optimism, Plan of Action and Milestones (POA&M), Process Mapping {+ 35 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group Customer Experience and work on something highly strategic to Microsoft. The goal of the Customer Experience Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organization’s implementation acts as reference architecture for large companies and helps drive product capabilities. Do you want to lead the design and development of mission-critical platforms at Microsoft? The Marketing Engineering team is building the next generation of marketing and store experiences, leveraging AI to transform content generation, personalization, and delivery. We are looking for a Principal Engineering Manager who will grow talent, foster team culture, and drive software development & service excellence in our organization. As a member of our growing org, you will play an integral part in making that happen, navigating us into the future and impacting the lives of people all around the world. This role offers the chance to work on innovative solutions, influence the technical direction of the team, and mentor other engineers to deliver scalable, secure, and reliable platforms. Join us to make a meaningful impact at Microsoft while working on cutting-edge technology. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Lead, mentor, and manage a team of software engineers to design, develop, and implement robust and scalable software applications that utilize generative AI techniques. Drive the integration of AI and machine learning capabilities to enhance platform functionality. Provide technical leadership, ensuring adherence to best practices, coding standards, and quality benchmarks. Identify opportunities to improve and optimize existing systems using generative AI. Define and drive the technical roadmap, aligning with business goals and organizational priorities. Mentor and coach engineers at all levels to grow their technical skills and foster a high-performing team. Partner with cross-functional teams to define requirements, solve complex technical challenges, and deliver solutions on time. Collaborate with stakeholders to establish metrics for success and continuously improve system performance. Stay informed on industry trends and emerging technologies to bring innovative solutions to the team. Embody our Culture and Values Qualifications Basic Qualifications: Knowledge of machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning) as applied to generative AI. 3+ years of people management experience in software engineering domain. 3+ years of professional experience in technical role developing, training, evaluating and deploying ML solutions at scale for real-world problems 10+ years of professional software development experience, with a proven track record of designing and delivering large-scale, distributed systems. Proficiency in programming languages such as Python, C#, or Java. Deep knowledge of cloud platforms (Azure, AWS, GCP) and modern software development practices (e.g., microservices, CI/CD, DevOps). Demonstrated ability to lead and mentor engineering teams, fostering a collaborative and high-performing culture. Excellent problem-solving skills and ability to handle ambiguity in technical requirements. Excellent cross-group and interpersonal skills, with the ability to articulate solutions. Bachelor's or master's degree with relevant coursework in Computer Science, Data Science, Statistics, Machine Learning, Data Mining, or equivalent work experience. Preferred Qualifications: Experience in designing and implementing MLOps strategies for model deployment, monitoring, and governance. Familiarity in deep learning architectures (Transformers, CNNs, RNNs) and knowledge of Natural Language Processing (NLP) Experience with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and their application to real-world problems. Knowledge of containers (Docker) and orchestration tools like Kubernetes. Strong analytical mind and a confident decision maker Excellent computer science fundamentals in algorithmic design, data structures, and analyzing complexity Ability to balance competing demands and adapt to changing priorities Experience mentoring junior engineers and data scientists, providing technical guidance and code reviews Designing and implementing applications using Low Code/No Code platforms would be a plus – nice to have Be part of an innovative team where you can lead, mentor, and make lasting impact. Join us in shaping the future of marketing experiences at Microsoft! #BICJobs Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

ROLES & RESPONSIBILITIES Qualifications and Skills: •Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. 5+ years of hands-on experience in data science or machine learning roles. Strong proficiency in Python or R, with deep knowledge of libraries like scikit-learn, pandas, NumPy, TensorFlow, or PyTorch. Proficient in SQL and working with relational databases. Solid experience with Azure cloud platforms and data pipeline tools. Strong grasp of statistical methods, machine learning algorithms, and model evaluation techniques. Excellent communication and storytelling skills with the ability to influence stakeholders. Proven track record of delivering impactful data science solutions in a business setting. Preferred Qualifications: Experience working in industries such as [logistics, aerospace, marketing, etc.]. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow). Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly). Responsibilities and Duties Model Development: Design, build, and deploy scalable machine learning models to solve key business challenges (e.g., customer churn, recommendation engines, pricing optimization). Data Analysis: Perform exploratory data analysis (EDA), statistical testing, and feature engineering to uncover trends and actionable insights. Project Leadership: Lead end-to-end data science projects, including problem definition, data acquisition, modeling, and presentation of results to stakeholders. Cross-functional Collaboration: Partner with engineering, product, marketing, and business teams to integrate models into products and processes. Mentorship: Guide and mentor junior data scientists and analysts, helping them grow technically and professionally. Innovation: Stay current with the latest data science techniques, tools, and best practices. Evaluate and incorporate new technologies when appropriate. Communication: Translate complex analyses and findings into clear, compelling narratives for non-technical stakeholders. EXPERIENCE 8-11 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science ABOUT THE COMPANY Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Job Description Role: Artificial intelligence engineer Location: Hyderabad/Bangalore Who are we looking for? Artificial intelligence engineer leverages deep learning, neuro-linguistic programming (NLP), chatbots, knowledge graphs, generative AI, and agentic / robotic platforms to improve business outcomes and drive innovation. The engineer will be part of a multidisciplinary team focused on shaping AI strategy and roadmaps by showcasing the potential for AI through early-stage solutions. This provides an opportunity to take advantage of emerging trends and technologies and make a real-world difference. Objectives of this role: • Manage and direct processes and R&D (research and development) to meet the needs of AI strategy • Understand company and client challenges and how integrating AI capabilities can help lead to solutions • Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit • Analyze and explain AI and machine learning (ML) solutions while setting and maintaining ethical and governance standards Responsibilities: • Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI • Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership • Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation • Manage a team in conducting assessments of the AI and automation market and competitor landscape • Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation Required skills and qualifications: • Two or more years of experience in applying AI to practical and comprehensive technology solutions • Experience with ML, deep learning, TensorFlow, Python, NLP, and Agentic languages (e.g., LangChain / AutoGen) • Experience in program leadership, governance, and change enablement • Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Preferred skills and qualifications: • Bachelor’s or master's degree in computer science or related field • Experience with innovation accelerators • Experience with cloud environments

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · • Design and develop deep learning models for computer vision tasks such as: · • Object detection (e.g., YOLO, Faster R-CNN) · • Image classification (e.g., ResNet, EfficientNet) · • Semantic/instance segmentation (e.g., U-Net, Mask R-CNN) · • Video frame analysis, tracking, or scene understanding · • Use OpenCV for image/video preprocessing and classical vision tasks: · • Filtering, contour detection, edge detection, motion tracking, image transformations · • Prepare and manage large-scale image/video datasets — frame extraction, annotation support, augmentation · • Evaluate models using appropriate metrics (IoU, mAP, F1, precision-recall curves) · • Fine-tune or build from scratch using frameworks like PyTorch or TensorFlow · • Collaborate with cross-functional teams to translate requirements into deployable models · • Write clean, modular, and well-documented Python code for training and experimentation · · Must-Have Skills · • 4–6 years of experience in applied deep learning roles with focus on computer vision · • Proficiency in Python with strong skills in data structures, vectorization, and modular coding · • Hands-on experience with OpenCV for traditional image/video processing tasks · • Strong understanding of CNN architectures and common vision model types · • Deep learning experience with PyTorch or TensorFlow · • Practical experience with vision datasets (e.g., COCO, Pascal VOC, custom video/image data) · • Familiarity with model training, loss functions, optimization techniques, and performance tuning · · Nice-to-Have Skills · • Experience with video analytics or multi-object tracking · • Familiarity with Albumentations, imgaug, or other augmentation libraries · • Exposure to transformer-based vision models (e.g., ViT, Swin) · • Basic understanding of explainability techniques for vision models (e.g., Grad-CAM) · • Experience working with edge devices, embedded systems, or real-time CV (optional) Mandatory skill sets: Python, Open CV, Deep learning, GenAI ,machine learning, data science Preferred skill sets: Data analysis, SQL, MLOPS Years of experience required: 5+ Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Jr. Software Engineer (AI ML) Experience Range : 0 to 2 years What is the work? Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 0-2 years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What skills and experience are we looking for? Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure. Apply (Gmail) Apply (Form)