9198 Pytorch Jobs - Page 8

As an AI/ML Engineer, you will be responsible for designing and implementing end-to-end machine learning solutions in areas such as predictive analytics, anomaly detection, computer vision, and natural language processing. Your role will involve employing advanced methodologies like Deep Learning, Reinforcement Learning, and Generative Models to optimize model performance through techniques such as hyperparameter tuning. You will need to balance model accuracy with real-time inference requirements for production readiness. In addition, you will be involved in developing scalable ETL pipelines using tools like Pandas, NumPy, and PySpark to process large-scale and streaming data from various sources. Data preprocessing tasks such as cleansing, transformation, and feature engineering will also be part of your responsibilities to ensure model-ready datasets. Staying updated with the latest ML techniques and experimenting with algorithms like Transfer Learning and AutoML will be crucial for your role. You will also be expected to rapidly prototype and test proof-of-concept models to validate innovative approaches. Deployment of ML models using Docker and Kubernetes in cloud environments, setting up CI/CD pipelines for streamlined model updates, and implementing monitoring and alerting systems for performance tracking will be essential tasks. Collaborating closely with cross-functional teams, mentoring junior members, and enforcing coding standards will also be part of your responsibilities. Your tech stack will include Python, PyTorch, Hugging Face Transformers, scikit-learn, Apache Kafka, Spark, PostgreSQL, Docker, Kubernetes, GitLab CI/CD, Prometheus, Grafana, OpenCV, FFmpeg, and Tesseract OCR, among others. You should have at least 5 years of experience in ML/AI, strong Python skills, proficiency with ML frameworks, experience with NLP, data engineering expertise, deployment experience, cloud platform knowledge, and a research-oriented mindset. Soft skills such as analytical thinking, problem-solving, communication, and the ability to work in agile, cross-functional teams will be essential. A Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field is required for this position.,

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Be able to integrate generative models into production environments and optimize their performance Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Engineering degree or equivalent experience 3+ years of experience working with Python, Pandas, Numpy, Airflow, scikit-learn, TensorFlow/PyTorch, and web frameworks like Flask 3+ years of experience using frameworks such as TensorFlow, PyTorch, and Keras for building and training generative models 2+ years of experience with front-end technologies like Angular and React Good knowledge of front-end tools such as HTML, CSS, JavaScript, and Angular Expertise in applying generative AI for various applications, including image synthesis, text generation, and style transfer Well versed in Data Structures & Algorithms Solid coding skills in Python, Pandas, Numpy, Airflow, scikit-learn, TensorFlow/PyTorch, and web frameworks like Flask Skilled in creating synthetic data and enhancing data quality using generative techniques Proficient in using frameworks such as TensorFlow, PyTorch, and Keras for building and training generative models Proven solid individual contributor with expertise in NLP, AI, and ML Preferred Qualification Familiarity with Java, cloud technologies, and DevOps tools such as Jenkins, Kubernetes, and GitHub Actions At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Job Description This is a remote position. Job Summary We are looking for an experienced and highly skilled Penetration Tester with over 4 years of experience to join our cybersecurity team. The ideal candidate will have a deep understanding of network and application security, a strong background in ethical hacking, and the ability to identify and mitigate security vulnerabilities. This role is crucial to ensuring the security and integrity of our systems and applications. Responsibilities Conduct Penetration Tests: Perform comprehensive penetration testing on AI models, APIs, cloud infrastructures, and associated systems to uncover security weaknesses. AI-Specific Threat Analysis: Identify and assess vulnerabilities unique to AI systems, including model inversion, data poisoning, and adversarial attacks. Tool Development: Create and maintain custom scripts and tools to automate testing processes and improve efficiency. Reporting: Document findings in detailed reports, providing actionable recommendations to mitigate identified risks. Collaboration: Work closely with development, data science, and DevOps teams to integrate security best practices throughout the AI product lifecycle. Stay Updated: Keep abreast of the latest cybersecurity threats, penetration testing techniques, and AI security research. Requirements Essential Skills Job Penetration Testing Tools: Proficiency with tools like Kali Linux, Burp Suite, Metasploit, Nmap, and Wireshark. Programming and Scripting: Strong skills in Python, Bash, or PowerShell for automating tasks and developing custom testing tools. Networking and Protocols: In-depth understanding of TCP/IP, DNS, HTTP/HTTPS, and other networking protocols. Operating Systems: Experience with Windows, Linux, and macOS environments. Cloud Security: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their security configurations. AI and Machine Learning: Basic understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and AI model architectures. Personal Demonstrated ability to assess complex systems and identify potential vulnerabilities. Creative approach to overcoming obstacles and finding effective solutions. Strong verbal and written communication skills to convey findings to technical and non-technical stakeholders. Commitment to ethical hacking practices and adherence to legal standards. Willingness to learn and adapt to evolving cybersecurity landscapes. Preferred Skills Job Advanced Threat Analysis: Experience in identifying and mitigating sophisticated cyber threats. Social Engineering: Knowledge of social engineering tactics and their application in penetration testing. Security Frameworks: Familiarity with OWASP, NIST, and ISO/IEC 27001 standards. Secure Coding Practices: Understanding of secure coding standards and the ability to perform code reviews. Personal Experience in leading security projects or mentoring junior team members. Ability to work effectively in multidisciplinary teams. Proactive in acquiring new knowledge and staying updated with industry trends. Other Relevant Information Master’s or Bachelor’s in Engineering with specialization in Computer Science or Artificial Intelligence or Information Technology or a related field. Demonstrated expertise with a minimum of four years in relevant roles. Benefits This role offers the flexibility of working remotely in India. LeewayHertz is an equal opportunity employer and does not discriminate based on race, color, religion, sex, age, disability, national origin, sexual orientation, gender identity, or any other protected status. We encourage a diverse range of applicants. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

AI Engineer – Voice, NLP, and GenAI Systems Location : Sector 62, Gurgaon – 100% In-Office Working Days : Monday to Friday, with 1st and 3rd Saturdays off Working Hours : 10:30 AM to 8:00 PM Experience : 2–6 years in AI/ML, NLP, or applied machine learning engineering Apply at : careers@darwix.ai Subject Line : Application – AI Engineer – [Your Name] About Darwix AI Darwix AI is India’s fastest-growing GenAI SaaS platform transforming how enterprise sales, field, and support teams engage with customers. Our suite— Transform+ , Sherpa.ai , and Store Intel —powers real-time multilingual voice analytics, AI nudges, coaching systems, and computer vision analytics for major enterprises across India, MENA, and Southeast Asia. We work with some of the largest names such as Aditya Birla Capital, Sobha, GIVA, and Bank Dofar. Our systems process thousands of daily conversations, live call transcripts, and omnichannel data to deliver actionable revenue insights and in-the-moment enablement. Role Overview As an AI Engineer , you will play a key role in designing, developing, and scaling AI and NLP systems that power our core products. You will work at the intersection of voice AI, natural language processing (NLP), large language models (LLMs), and speech-to-text pipelines. You will collaborate with product, backend, and frontend teams to integrate ML models into production workflows, optimize inference pipelines, and improve the accuracy and performance of real-time analytics used by enterprise sales and field teams. Key ResponsibilitiesAI & NLP System Development Design, train, fine-tune, and deploy NLP models for conversation analysis, scoring, sentiment detection, and call summarization. Work on integrating and customizing speech-to-text (STT) pipelines (e.g., WhisperX, Deepgram) for multilingual audio data. Develop and maintain classification, extraction, and sequence-to-sequence models to handle real-world sales and service conversations. LLM & Prompt Engineering Experiment with and integrate large language models (OpenAI, Cohere, open-source LLMs) for live coaching and knowledge retrieval use cases. Optimize prompts and design retrieval-augmented generation (RAG) workflows to support real-time use in product modules. Develop internal tools for model evaluation and prompt performance tracking. Productionization & Integration Build robust model APIs and microservices in collaboration with backend engineers (primarily Python, FastAPI). Optimize inference time and resource utilization for real-time and batch processing needs. Implement monitoring and logging for production ML systems to track drift and failure cases. Data & Evaluation Work on audio-text alignment datasets, conversation logs, and labeled scoring data to improve model performance. Build evaluation pipelines and create automated testing scripts for accuracy and consistency checks. Define and track key performance metrics such as WER (word error rate), intent accuracy, and scoring consistency. Collaboration & Research Work closely with product managers to translate business problems into model design requirements. Explore and propose new approaches leveraging the latest research in voice, NLP, and generative AI. Document research experiments, architecture decisions, and feature impact clearly for internal stakeholders. Required Skills & Qualifications 2–6 years of experience in AI/ML engineering, preferably with real-world NLP or voice AI applications. Strong programming skills in Python , including libraries like PyTorch, TensorFlow, Hugging Face Transformers. Experience with speech processing , audio feature extraction, or STT pipelines. Solid understanding of NLP tasks: tokenization, embedding, NER, summarization, intent detection, sentiment analysis. Familiarity with deploying models as APIs and integrating them with production backend systems. Good understanding of data pipelines, preprocessing techniques, and scalable model architectures. Preferred Qualifications Prior experience with multilingual NLP systems or models tuned for Indian languages. Exposure to RAG pipelines , embeddings search (e.g., FAISS, Pinecone), and vector databases. Experience working with voice analytics, diarization, or conversational scoring frameworks. Understanding of DevOps basics for ML (MLflow, Docker, GitHub Actions for model deployment). Experience in SaaS product environments serving enterprise clients. Success in This Role Means Accurate, robust, and scalable AI models powering production workflows with minimal manual intervention. Inference pipelines optimized for enterprise-scale deployments with high availability. New features and improvements delivered quickly to drive direct business impact. AI-driven insights and automations that enhance user experience and boost revenue outcomes for clients. You Will Excel in This Role If You Love building AI systems that create measurable value in the real world, not just in research labs. Enjoy solving messy, real-world data problems and working on multilingual and noisy data. Are passionate about voice and NLP, and constantly follow advancements in GenAI. Thrive in a fast-paced, high-ownership environment where ideas quickly become live features. How to Apply Email your updated CV to careers@darwix.ai Subject Line: Application – AI Engineer – [Your Name] (Optional): Share links to your GitHub, open-source contributions, or a short note about a model or system you designed and deployed in production. This is an opportunity to build foundational AI systems at one of India’s fastest-scaling GenAI startups and to impact how large enterprises engage millions of customers every day. If you are ready to transform how AI meets revenue teams—Darwix AI wants to hear from you.

Job Requirement 3-5 Years of experience in Data Science Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools. Bachelors/ Masters in Data Science, Statistics, Computer Science, Business Intelligence, Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn Ability to think strategically and translate data insights into actionable business recommendations. Excellent problem-solving and analytical skills Adaptability and openness towards changing environment and nature of work This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business. Job Roles & Responsibilities Conduct in-depth analysis of large-scale datasets to uncover insights and trends. Build and deploy predictive and prescriptive machine learning models for various applications. Design and execute A/B tests to evaluate the effectiveness of different strategies. Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making. Stay up-to-date with the latest advancements in data science and machine learning. Skills:- Python, PowerBI, SQL, Machine Learning (ML), Predictive modelling and Generative AI

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and deliver trusted experience to customers and partners worldwide and we are looking for passionate, high-energy engineers to help achieve that mission. Firmware/Software CoE is looking for a Senior Software Engineer to be a part of the fast-paced and exciting business of Azure. This is your chance to be part of the most exciting end-to-end teams within Microsoft. We are looking for a highly motivated Senior Software Engineer with a track record in Cloud Service development to come help us develop and light up innovative hardware solutions that powers Azure and make our world-class cloud infrastructure even better. To be successful in this role, you must have a great track record of delivering quality results to customers, an engineering mindset, an innate aptitude for agility, and technical excellence in software engineering. Responsibilities Conduct A/B analysis, create and validate metrics, develop ML pipeline and modeling algorithm in Information Retrieval and Machine Learning. Determines the technique needed and develops analytic models to understand complex business issues and provide data-driven insights by integrating statistical inference, Machine Learning modeling, AI and/or other advanced analytical methods to manage, classify and analyze complex data from a variety of sources. Perform data analysis using a variety of analytical tools (Python, KQL, MLStudio, Synapse, Power BI, Fabric etc), and interpret results with actionable recommendations. Define & measure the success/impact of requested analytics & reporting features via quantitative measures. Lead the development of cutting-edge models based on Hardware Telemetry. Leverage and advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems. Take an active role and partner with internal peer teams and external partners to ensure highly available, fully secure, accurate and actionable results based on hardware health signals, policies, and predictive analytics. Partner with stakeholders across the team to identify opportunities to build new AI-based solutions to improve engineering efficiency across development, validation, monitoring, and live support. Qualifications Bachelor’s in computer science, Computer Engineering or related. 6+ years of industry experience with common ML engineering programming languages and platforms, such as Python, ML Stack. Experience in setting up web applications, web services that leverage AI\ML ecosystem for business insights, automated jobs. Solid data engineering and ML experience with large language models (LLM). Proven track record of building, deploying, and optimizing large-scale AI/ML models in real-world applications. Preferred Qualifications Experience working with large language models / multi-billion parameter models, focusing on their efficient training and online inference. Familiar with e2e machine learning development cycle, from model measurements / training/ evaluation to optimization/deployment, etc. Experience in one of these training frameworks: Pytorch, Tensorflow, etc., and LLM is a plus. Understanding of hardware and devices, or familiarity with OS and Firmware health and error reporting would be added plus. #GTA #SCHIEINDIA 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.

Job Title: Senior CV Engineer Location: Gurugram Experience: 6–10 Years Industry: AI Product Overview: We are hiring for our esteemed client, a Series-A funded deep-tech company building a first-of-its-kind app-based operating system for Computer Vision. The team specializes in real-time video/image inference, distributed processing, and high-throughput data handling using advanced technologies and frameworks. Key Responsibilities: Lead design and implementation of complex CV pipelines (object detection, instance segmentation, industrial anomaly detection). Own major modules from concept to deployment ensuring low latency and high reliability. Transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer. Collaborate with cross-functional teams to refine technical strategies and roadmaps. Drive long-term data and model strategies (synthetic data generation, validation frameworks). Mentor engineers and maintain high engineering standards. Required Skills & Qualifications: 6–10 years of experience in architecting and deploying CV systems. Expertise in multi-object tracking, object detection, semi/unsupervised learning. Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA. Experience with real-time, low-latency model deployment on edge devices. Strong systems-level design thinking across ML lifecycles. Familiarity with MLOps (CI/CD for models, versioning, experiment tracking). Bachelor’s/Master’s degree in CS, EE, or related fields with strong ML and algorithmic foundations. (Preferred) Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions.

Position AI ML Engineer Job Description 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others). Demonstrated experience in completing data science projects with or without minimal supervision. Must possess conceptual understanding of various modelling techniques, pros and cons of each technique. Added Advantage Proven record of migrating Al/ML/DL models/algorithms to low level platforms. Familiar with optimizing code for minimal usage of CPU and memory. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type Full time Job Category Engineering Services

Java Developer With AI/ML Location – Hyderabad Contract Role • Hybrid work model – 12 days from Hyderabad Infosys office every month and rest of the day’s work from home • Immediate Joiners only • Long term opportunity if performance is good • Mode of Interview – In person in Infosys Hyderabad Office. Job Description: • Java + AI/ML role required with at least 5+ years of industry experience on Java, Spring Boot, Spring Data & at least 2 years of AI/ML project / professional experience. • Strong experience in building and consuming REST APIs and asynchronous messaging (Kafka/RabbitMQ). • Working experience in integrating AI/ML models into Java services or calling external ML endpoints (REST/gRPC). • Understanding of ML lifecycle: training, validation, inference, monitoring, and retraining. • Familiarity with tools like TensorFlow, PyTorch, Scikit-Learn, or ONNX. • Prior experience in domain-specific ML implementations (e.g., fraud detection, recommendation systems, NLP chatbots) • Experience working with data formats like JSON, Parquet, Avro, and CSV. • Solid understanding of database systems – both SQL (PostgreSQL, MySQL) and NoSQL (Redis). • Integrate machine learning models (batch and real-time) into backend systems and APIs. • Optimize and automate AI/ML workflows using MLOps best practices. • Monitor and manage model performance, versioning, and rollbacks. • Collaborate with cross-functional teams (DevOps, SRE, Product Engineering) to ensure seamless deployment. • Exposure to MLOps tools like MLflow, Kubeflow, or Seldon. • Experience with any 1 of the cloud platforms, preferably AWS & Knowledge of observability tools & its metrics, events, logs, and traces (for e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics, etc..). About Ampstek Ampstek is a global IT solutions partner serving clients across North America, Europe, APAC, LATAM, and MEA. We specialize in delivering talent and technology solutions for enterprise-level digital transformation, trading systems, data services, and regulatory compliance. Contact: Snehil Mishra 📧 snehil@ampstek.com 📞 Desk: 609-360-2673 Ext. 125 🔗 LinkedIn 🌐 www.ampstek.com

Job Description YOUR IMPACT Are you passionate about leveraging cutting-edge AI/ML techniques, including Large Language Models, to solve complex, mission-critical problems in a dynamic environment? Do you want to contribute to safeguarding a leading global financial institution? OUR IMPACT We are Compliance Engineering, a global team of engineers and scientists dedicated to preventing, detecting, and mitigating regulatory and reputational risks across Goldman Sachs. We build and operate a suite of platforms and applications that protect the firm and its clients. We Offer Access to petabyte scaleof structured and unstructured data to fuel your AI/ML models, including textual data suitable for LLM applications. The opportunity to work with state-of-the-art LLM models and agentic framework. A collaborative environment where you can learn from and contribute to a team of experienced engineers and scientists. The chance to make a tangible impact on the firm's ability to manage risk and maintain its reputation. Within Compliance Engineering, we are seeking an experienced AI/ML Engineer to join our Engineering team. This role will focus on solving highly complex business problems using AI/ML techniques, incorporating latest emerging trends om building out vertical AI agents to run on data at massive scale. How You Will Fulfill Your Potential As a member of our team, you will: Design and architect scalable and reliable end-to-end AI/ML solutions specifically tailored for compliance applications, ensuring adherence to relevant regulatory requirements. This encompasses the development and implementation of GenAI-driven solutions, including agentic frameworks for automating compliance processes, RAG pipelines, and the creation and utilization of embeddings for compliance knowledge bases. Explore diverse AI/ML problems, such as model fine-tuning, prompt engineering, and experimentation with different algorithmic approaches to address novel business challenges. Develop, test, and maintain high-quality, production-ready code. Lead technical projects from inception to completion, providing guidance and mentorship to junior engineers. Collaborate effectively with compliance officers, legal counsel, and other stakeholders to understand business requirements and translate them into technical solutions. Participate in code reviews to ensure code quality, maintainability, and adherence to coding standards. Promote best practices for AI/ML development, including version control, testing, and documentation. Stay current with the latest advancements in AI/ML platforms, tools, and techniques to solve business problems. Qualifications A successful candidate will possess the following attributes: A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field of study. Preferably 7+ years AI/ML industry experience for Bachelor’s/Masters, 4+ years for PhD with a focus on Language Models. Strong foundation in machine learning algorithms, including deep learning architectures (e.g., transformers, RNNs, CNNs) Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn. Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), model fine-tuning, prompt engineering, AI agents, and evaluation techniques. Experience working with embedding models and vector databases. Experience with MLOps practices, including model deployment, containerization (Docker, kubernetes), CI/CD, and model monitoring. Strong verbal and written communication skills. Curiosity, ownership and willingness to work in a collaborative environment. Proven ability to mentor and guide junior engineers. Experience in some of the following is desired and can set you apart from other candidates: Experience with Agentic Frameworks (e.g., Langchain, AutoGen) and their application to real-world problems. Understanding of scalability and performance optimization techniques for real-time inference such as quantization, pruning, and knowledge distillation. Experience with model interpretability techniques. Prior experience in code reviews/ architecture design for distributed systems. Experience with data governance and data quality principles. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Unlock Your Future with Nexaminds! At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth. Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong. Summary/objective The skilled and innovative Data Scientist will leverage data analytics, machine learning, and statistical techniques to extract insights, build predictive models, and drive data-driven decision-making. The Data Scientist will collaborate closely with software engineers, product managers, and stakeholders to enhance our products and services. Experience Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent experience. Bachelor's degree in computer science, Statistics, Mathematics, or a related field. Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). Experience in Agile development environments. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of big data technologies (e.g., Hadoop, Spark). ROLE DEPENDENT Proficient with Azure, Microservice Architecture, C#, SQL, Unit Testing, .NET Proficient with PHP, MySQL, Unit Testing, Vue, Javascript, HTML Experience with Linux operating systems required, with Ubuntu experience preferred. AWS OOP and/or MVC. Knockout, Angular, Azure CosmosDB or other NoSQL database Pub/Sub and asynchronous messaging Docker MVVM What you can expect from us Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness. Stock options 📈 Remote work options 🏠 Flexible working hours 🕜 Benefits above the law But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros. You'll have access to mentorship and tons of opportunities to learn and level up. Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!

About The Opportunity A leading technology consulting firm driving AI-powered transformation across finance, healthcare, retail, and manufacturing sectors. We deliver scalable machine-learning solutions—ranging from predictive analytics to recommendation engines and computer vision applications—for global enterprise clients. Our Machine Learning team is expanding to architect, build, and deploy end-to-end ML pipelines on-site in India. If you thrive on hands-on model development, scalable deployments, and continuous optimization, join us to accelerate data-driven strategies. Role & Responsibilities Translate business requirements into scalable ML models and end-to-end pipelines. Develop, train, and validate supervised and unsupervised models using Python and ML frameworks (TensorFlow, PyTorch, scikit-learn). Design and implement data preprocessing and feature engineering workflows to ensure high data quality. Deploy models as RESTful services using Docker, Kubernetes, and cloud-native technologies (AWS/GCP/Azure). Monitor model performance in production, implement A/B testing, retraining pipelines, and performance tuning. Collaborate cross-functionally with Data Engineers, DevOps, and Product teams to integrate ML components into applications. Skills & Qualifications Must-Have Bachelor’s or Master’s in Computer Science, Engineering, or related field. Proficient in Python and core ML libraries: TensorFlow, PyTorch, scikit-learn. Hands-on experience designing, training, and evaluating ML models (classification, regression, clustering). Strong expertise in data preprocessing, feature engineering, and pipeline development. Experience deploying models using Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). Solid understanding of software engineering best practices: Git, CI/CD, and unit testing. Preferred Experience with MLOps frameworks: Kubeflow, MLflow, or SageMaker. Familiarity with NLP, computer vision, or time-series forecasting. Knowledge of big data technologies: Spark, Hadoop, or Airflow. Experience automating monitoring and retraining pipelines. Exposure to API design and microservices architecture. Certifications in cloud ML services (AWS Certified ML Specialty, Azure AI Engineer). Benefits & Culture Highlights Competitive salary, comprehensive health insurance, and performance-based bonuses. Collaborative on-site environment with continuous learning, mentorship, and knowledge-sharing. Access to cutting-edge AI tools, industry conferences, and certification support. Skills: python,tensorflow,pytorch,scikit-learn,machine learning,ml,data science

Role & Responsibilities Lead end-to-end delivery of workforce analytics projects: problem framing, data preparation, modeling, deployment, and visualization. Manage and mentor a cross-functional team of data scientists and engineers, fostering skill development and best practices. Collaborate with HR leaders and stakeholders to define analytics roadmaps, KPIs, and success metrics aligned with business goals. Develop and implement robust machine learning pipelines and MLOps workflows for continuous model training, validation, and monitoring. Ensure data quality, governance, and compliance standards are met across all analytical processes. Drive innovation by evaluating new tools, frameworks, and methodologies to scale analytics capabilities. Skills & Qualifications Must-Have 5+ years of experience in data science, analytics, or related field, with at least 2 years in a managerial role. Proficiency in Python or R for statistical modeling, machine learning (scikit-learn, TensorFlow, PyTorch), and data manipulation. Strong SQL skills and experience with relational and NoSQL databases. Proven track record delivering end-to-end ML solutions in cloud environments (AWS, Azure, or GCP). Preferred Experience with data visualization tools such as Tableau, Power BI, or Looker. Familiarity with MLOps platforms (MLflow, Kubeflow, SageMaker) and CI/CD pipelines. Benefits & Culture Highlights Hybrid work model with flexibility across our India offices and remote days. Continuous learning culture: certifications, conferences, and internal workshops. Collaborative environment emphasizing innovation, diversity, and work–life balance. Skills: data manipulation,relational databases,r,data visualization,nosql databases,ci/cd,machine learning,llm,statistical modeling,cloud environments,mlops,sql,gen ai,python

Senior AI Engineer – Growify (Full-Time) About Growify Growify is a leading e-commerce growth agency specializing in the luxury and fashion sectors. The company delivers comprehensive end-to-end services to help brands scale online, offering expertise in web development, advertising, performance marketing, social media management, and sales optimization. Growify partners with brands to increase their online presence, effectively manage digital campaigns, and boost overall revenue through data-driven strategies and advanced marketing analytics[1][2][3]. The company is committed to using the latest technology—including AI-powered dashboards—to provide real-time insights, omnichannel attribution, and tailored growth solutions for its clients. About The Role Growify is establishing a dedicated AI department to build the next generation of intelligent, AI-driven products that will transform e-commerce for global brands. As a Senior AI Engineer, you will shape the integration of AI across Growify’s platform, leading projects while also mentoring and guiding the junior AI team. You will be at the forefront of AI innovation, working with both traditional machine learning and cutting-edge LLM-based and agentic AI architectures, maintaining a strong technical focus while influencing Growify’s AI culture and strategy. What You’ll Do Most Of The Time - Design, build, and deploy production-grade AI systems—from classical ML (using TensorFlow, PyTorch, or scikit-learn) to modern LLM-powered and agentic AI features. - Lead projects from ideation to execution, handling architecture, modeling, evaluation, and deployment. - Work with unstructured data, embeddings, vector databases, and tackle complex real-world data challenges. - Evaluate and integrate LLM frameworks such as OpenAI, HuggingFace, LangChain, or Ollama where relevant. - Deliver impactful AI capabilities in collaboration with product and engineering teams, focusing on user and business outcomes. - Mentor junior engineers, fostering rapid learning, clean coding practices, and strong problem-solving skills. - Guide and upskill the junior AI team by sharing best practices, reviewing their work, and encouraging responsibility. - Stay updated on advancements in AI/ML and agentic AI, helping shape Growify’s technical and strategic direction. What You’ll Need To Qualify - 4+ year's hands-on experience in software or AI/ML development, including at least 3 years in deep learning or machine learning (TensorFlow, PyTorch, or scikit-learn). - 1+ years of industry experience with large language models (LLMs) and familiarity with their deployment in production. - Practical exposure to agentic AI architectures (LLM agents or autonomous workflows). - Strong background in statistics and probability as applied to real-world AI/ML problems. - Excellent communication and critical thinking skills—you are as comfortable explaining your decisions as making them. - Experience building and deploying ML or LLM systems, including end-to-end ML workflows, data pipelines, APIs, and vector search. - Prior experience with project ownership or mentoring/leading team members. Preferred Skills You don't need them all—enthusiasm to learn is highly valued: - Hands-on with OpenAI, HuggingFace, LangChain, or similar frameworks - Familiarity with FastAPI, Docker, or MLOps tools (MLflow, Airflow) - Experience with vector databases (FAISS, Pinecone, Qdrant) - Background in prompt engineering, retrieval-augmented generation (RAG), and generative output evaluation - Ability to evaluate and optimize deployments, balancing performance, cost, and complexity What You’ll Get - The chance to lead and contribute as part of an AI-first team working on high-impact challenges in e-commerce. - Opportunity to grow into a leadership role while maintaining technical hands-on work. - Industry-best salary with strong growth prospects. - Mentorship, autonomy, and project ownership from your first day. - Five-day work week. - PF (Provident Fund). Growify seeks a visionary AI expert dedicated to building world-class standards, mentoring junior engineers, and leading by example as the company continues to shape the digital future of luxury and fashion brands. Hlo Chandika ma'am(@⁨Chandika BM Growify⁩) we have created the job description for the senior AI expert, check the jd once and then I will tag rishab sir

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Microsoft Copilot Studio Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Copilot Studio. - Strong understanding of cloud AI services and their application in real-world scenarios. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with data processing and image processing techniques. - Ability to develop and deploy chatbots using AI technologies. Additional Information: - The candidate should have minimum 3 years of experience in Microsoft Copilot Studio. - This position is based at our Kolkata office. - A 15 years full time education is required., 15 years full time education

Role & Responsibilities Lead end-to-end delivery of workforce analytics projects: problem framing, data preparation, modeling, deployment, and visualization. Manage and mentor a cross-functional team of data scientists and engineers, fostering skill development and best practices. Collaborate with HR leaders and stakeholders to define analytics roadmaps, KPIs, and success metrics aligned with business goals. Develop and implement robust machine learning pipelines and MLOps workflows for continuous model training, validation, and monitoring. Ensure data quality, governance, and compliance standards are met across all analytical processes. Drive innovation by evaluating new tools, frameworks, and methodologies to scale analytics capabilities. Skills & Qualifications Must-Have 5+ years of experience in data science, analytics, or related field, with at least 2 years in a managerial role. Proficiency in Python or R for statistical modeling, machine learning (scikit-learn, TensorFlow, PyTorch), and data manipulation. Strong SQL skills and experience with relational and NoSQL databases. Proven track record delivering end-to-end ML solutions in cloud environments (AWS, Azure, or GCP). Preferred Experience with data visualization tools such as Tableau, Power BI, or Looker. Familiarity with MLOps platforms (MLflow, Kubeflow, SageMaker) and CI/CD pipelines. Benefits & Culture Highlights Hybrid work model with flexibility across our India offices and remote days. Continuous learning culture: certifications, conferences, and internal workshops. Collaborative environment emphasizing innovation, diversity, and work–life balance. Skills: data manipulation,relational databases,r,data visualization,nosql databases,ci/cd,machine learning,llm,statistical modeling,cloud environments,mlops,sql,gen ai,python

Role & Responsibilities Lead end-to-end delivery of workforce analytics projects: problem framing, data preparation, modeling, deployment, and visualization. Manage and mentor a cross-functional team of data scientists and engineers, fostering skill development and best practices. Collaborate with HR leaders and stakeholders to define analytics roadmaps, KPIs, and success metrics aligned with business goals. Develop and implement robust machine learning pipelines and MLOps workflows for continuous model training, validation, and monitoring. Ensure data quality, governance, and compliance standards are met across all analytical processes. Drive innovation by evaluating new tools, frameworks, and methodologies to scale analytics capabilities. Skills & Qualifications Must-Have 5+ years of experience in data science, analytics, or related field, with at least 2 years in a managerial role. Proficiency in Python or R for statistical modeling, machine learning (scikit-learn, TensorFlow, PyTorch), and data manipulation. Strong SQL skills and experience with relational and NoSQL databases. Proven track record delivering end-to-end ML solutions in cloud environments (AWS, Azure, or GCP). Preferred Experience with data visualization tools such as Tableau, Power BI, or Looker. Familiarity with MLOps platforms (MLflow, Kubeflow, SageMaker) and CI/CD pipelines. Benefits & Culture Highlights Hybrid work model with flexibility across our India offices and remote days. Continuous learning culture: certifications, conferences, and internal workshops. Collaborative environment emphasizing innovation, diversity, and work–life balance. Skills: data manipulation,relational databases,r,data visualization,nosql databases,ci/cd,machine learning,llm,statistical modeling,cloud environments,mlops,sql,gen ai,python

Role & Responsibilities Lead end-to-end delivery of workforce analytics projects: problem framing, data preparation, modeling, deployment, and visualization. Manage and mentor a cross-functional team of data scientists and engineers, fostering skill development and best practices. Collaborate with HR leaders and stakeholders to define analytics roadmaps, KPIs, and success metrics aligned with business goals. Develop and implement robust machine learning pipelines and MLOps workflows for continuous model training, validation, and monitoring. Ensure data quality, governance, and compliance standards are met across all analytical processes. Drive innovation by evaluating new tools, frameworks, and methodologies to scale analytics capabilities. Skills & Qualifications Must-Have 5+ years of experience in data science, analytics, or related field, with at least 2 years in a managerial role. Proficiency in Python or R for statistical modeling, machine learning (scikit-learn, TensorFlow, PyTorch), and data manipulation. Strong SQL skills and experience with relational and NoSQL databases. Proven track record delivering end-to-end ML solutions in cloud environments (AWS, Azure, or GCP). Preferred Experience with data visualization tools such as Tableau, Power BI, or Looker. Familiarity with MLOps platforms (MLflow, Kubeflow, SageMaker) and CI/CD pipelines. Benefits & Culture Highlights Hybrid work model with flexibility across our India offices and remote days. Continuous learning culture: certifications, conferences, and internal workshops. Collaborative environment emphasizing innovation, diversity, and work–life balance. Skills: data manipulation,relational databases,r,data visualization,nosql databases,ci/cd,machine learning,llm,statistical modeling,cloud environments,mlops,sql,gen ai,python

Experience: 10-15 years Location: Thane, Maharashtra (Work From Office), flexible timing Skills: Image Processing, Deep Learning, Computer Vision, Pytorch, Medical Imaging(best fit), Budget: upto 85 LPA including 10% variable Have experience in Object Detection, Segmentation, Classification etc Have experience in training models like Yolo, CNN, ResNet, DensNet, UNet, GAN etc Job Type: Full-time Pay: ₹5,000,000.00 - ₹8,500,000.00 per year

Key ResponsibilitiesAI Development & Integration Develop and implement AI-powered features using Python and LLM technologies Integrate various LLMs into existing software systems Build new applications with AI capabilities Create APIs using FastAPI and Django for AI service delivery Develop prototypes to demonstrate AI solutions LLM Implementation Work with both enterprise LLMs (like OpenAI, Anthropic, Google) and open-source alternatives (like LLaMA, Mistral) Implement effective prompting strategies Design systems that leverage LLM capabilities Monitor and improve LLM performance and response quality Technical Infrastructure Deploy containerized AI applications using Docker Assist in setting up LLM hosting environments Implement basic monitoring and logging for AI systems Help ensure AI services run smoothly Collaboration Work with different teams including product and engineering Document your work and share knowledge with the team Participate in code reviews Contribute to technical discussions about AI integration Required Qualifications Required Qualifications Experience Minimum 1 year of professional experience in AI/ML engineering or related field Minimum 2 years of hands-on Python programming experience in professional environments Demonstrated experience developing and deploying machine learning models in production systems Proven track record of working with large datasets and complex AI/ML projects Technical Skills Programming: Advanced proficiency in Python, including experience with NumPy, Pandas, Matplotlib, and Scikit-learn Machine Learning: Strong understanding of supervised and unsupervised learning algorithms, deep learning concepts, and neural network architectures Frameworks: Hands-on experience with TensorFlow, PyTorch, or Keras for model development and training Data Technologies: Proficiency in SQL, database management, and data preprocessing techniques Development Tools: Experience with Git version control, Docker containerization, and cloud platforms (AWS, Google Cloud, or Azure) APIs: Experience developing RESTful APIs using Flask, FastAPI, or Django Job Types: Full-time, Permanent Pay: From ₹300,000.00 per year Benefits: Commuter assistance Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Provident Fund Ability to commute/relocate: Manjeri, Kerala: Reliably commute or planning to relocate before starting work (Required) Shift availability: Day Shift (Required) Overnight Shift (Required) Work Location: In person

DifferentByte Technologies Pvt Ltd , a GEN-AI start-up based in Cochin, Kerala, is seeking a highly skilled Gen AI Developer. Join our innovative team to work on cutting-edge AI solutions and contribute to the development of advanced AI applications. This role offers a unique opportunity to build a promising career in a technology-driven environment. **Please carefully read the job description before applying** Responsibilities ● Design and develop AI models and algorithms for various applications ● Implement and optimize machine learning models and deep learning frameworks ● Quantize models and deploy them for efficient inference ● Conduct research and experiments ● Analyze and pre-process data for model training and evaluation ● Continuously improve AI models through iteration and experimentation ● Stay up-to-date with the latest advancements in AI and machine learning Requirements ● Knowledge on machine learning, deep learning, natural language processing (NLP) ● Proficiency in programming languages such as Python. ● Knowledge in LangChain and RAG is a plus. ● Basic understanding of backend development and database integration ● Understanding of libraries like Pandas, TensorFlow, PyTorch ● Knowledge in data structures and algorithms and software engineering principles. ● Knowledge of data pre-processing, data augmentation, and data visualization techniques ● Familiarity with generative models (GANs, VAEs) and their applications ● Experience in deploying models using Hugging Face inference endpoints ● Understanding of cloud platforms like AWS, GCP, or Azure is a plus ● Strong problem-solving skills and ability to think creatively ● Excellent communication and teamwork skills Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per month Benefits: Paid sick time Paid time off Ability to commute/relocate: Kochi, Kerala: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Can you share some details on the best project you have done so far? In how many projects have you used LLM? Do you have experience working with any of the following: Lang smith, Lang chain, Lamaindex, RAG, LLM), Agents Education: Bachelor's (Required) Language: English (Preferred) Location: Kochi, Kerala (Required) Work Location: In person

Job Title: AI Expert Location: Punjab ( Fazilka, Malekotla, Amritsar, Sangrur, Patiala, Tarn Taran, Sahibzada Ajit Singh Nagar (Mohali), Fatehgarh Sahib, Mansa, Rupnagar(Ropar), Bhatinda, Sri Muktsar Sahib, Faridkot, Hoshiarpur, Kapurthala, Shahib Bhagat Singh Nagar(Nawanshahr), Pathankot, Moga, Ludhiana, Barnala, Gurdaspur, Jalandhar, Firozpur) Company: JITM SKILLS PVT.LTD. Job Type: Full-time Job Description: We are looking for a knowledgeable and innovative AI Expert to design, develop, and deploy AI-powered solutions that drive business efficiency and innovation. The ideal candidate will have strong experience in machine learning, data science, and AI model development. Key Responsibilities: Design and develop AI/ML models for classification, prediction, and automation tasks. Analyze large datasets to extract meaningful insights and improve model performance. Collaborate with cross-functional teams to integrate AI solutions into products or workflows. Continuously research and implement the latest AI technologies and tools. Optimize existing AI systems for performance, accuracy, and scalability. Document processes, models, and development cycles for future reference. Requirements: Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field. Proficiency in Python, TensorFlow, PyTorch, or other AI/ML frameworks. Experience with natural language processing (NLP), computer vision, or predictive analytics. Strong problem-solving and analytical skills. Good communication and teamwork abilities. Contact-7827336407 OR jitm.recruitment25@gmail.com Job Type: Full-time Pay: ₹250,000.00 - ₹450,000.00 per year Schedule: Day shift Work Location: In person

We are looking for an experienced AI/ML cum Python Developer with 1 to 2 years of hands-on work in machine learning, Python development, and API integration. The ideal candidate should also have experience building AI agents —smart systems that can plan tasks, make decisions, and work independently using tools like LangChain, AutoGPT, or similar frameworks. You’ll be part of a collaborative team, working on real-world AI projects and helping us build intelligent, scalable solutions. Key Responsibilities: Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop AI agents capable of decision-making and multi-step task execution Write efficient and maintainable Python code for data processing, automation, and backend services. Design and implement REST APIs or backend services for model integration. Handle preprocessing, cleaning, and transformation of large datasets. Evaluate model accuracy and performance, and make necessary optimizations. Collaborate with cross-functional teams including UI/UX, QA, and product managers. Stay updated with the latest trends and advancements in AI/ML. Key Performance Areas (KPAs): Development of AI/ML algorithms and backend services AI agent development and performance Model evaluation, testing, and optimization Seamless deployment and integration of models in production Technical documentation and project support Research and implementation of emerging AI technologies Key Performance Indicators (KPIs): Accuracy and efficiency of AI models delivered Clean, reusable, and well-documented Python code Timely delivery of assigned tasks and milestones Issue resolution and minimal bugs in production Contribution to innovation and internal R&D efforts Requirements: Bachelor’s or Master’s degree in Computer Science, IT, or related field Minimum 1 years of experience in Python and machine learning Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc. Strong foundation in algorithms, data structures, and mathematics Experience with Flask, FastAPI, or Django for API development Good understanding of model evaluation and optimization techniques Familiarity with version control tools like Git Strong communication and team collaboration skills Company Perks 05 Days Working Familiar Environment Flexible Timings Global Clients & Amazing Projects Leave Encashment Health Insurance Employee Engagement Activities Picnic Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Ability to commute/relocate: Varachha, Surat, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Job Title: Assistant Professor – Artificial Intelligence / Machine Learning Location: Bahra University, Shimla, Himachal Pradesh Employment Type: Full-Time About Bahra University: Bahra University is a premier institution committed to academic excellence, research, and innovation. Situated amidst the serene hills of Shimla, we provide a dynamic environment for learning and professional growth. Position Overview: We are seeking a passionate and qualified Assistant Professor in AI/ML to join our faculty. The ideal candidate will bring expertise in Artificial Intelligence, Machine Learning, and related domains, and inspire students through innovative teaching and research. Key Responsibilities: Teach undergraduate and postgraduate courses in AI, ML, Data Science, and related areas. Develop curriculum and teaching materials aligned with industry trends. Guide student projects, research, and thesis work. Engage in research, publications, and collaborations with industry. Contribute to departmental activities and academic events. Qualifications & Experience: Master’s Degree (M.Tech/M.E.) or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field (Ph.D. preferred). Minimum 2 years of teaching/research/industry experience in AI/ML. Strong academic background with published research in reputed journals/conferences. Proficiency in Python, R, TensorFlow, PyTorch, or similar frameworks. Skills Required: In-depth knowledge of AI/ML algorithms, deep learning, and data analytics. Excellent communication and presentation skills. Passion for mentoring and fostering an innovative learning environment. Why Join Us: Opportunity to work in a growing academic environment with state-of-the-art facilities. Exposure to research collaborations and funded projects. Supportive campus culture amidst a scenic location. Job Type: Full-time Pay: ₹19,551.48 - ₹47,701.91 per month Schedule: Day shift Experience: AI / ML: 2 years (Required) Work Location: In person

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 Pay: ₹16,472.07 - ₹68,456.84 per month Application Question(s): What is your Native & Current Location? * What is your Highest Qualification? Experience: AI & ML: 2 years (Required) Work Location: In person