228 Torch Jobs

Job Description: You will provide leadership in designing and implementing ground-breaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services. As an architect you are responsible for converting business needs associated with AI-ML algorithms in to a set of product goals covering workload scenarios, end user expectations, compute infrastructure and time of execution; this should lead to a plan for making the algorithms production ready Benchmark and optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs. Optimize algorithms for optimal performance on the GPU tensor cores. Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment. Assign tasks to the team and monitor as well Skills Required MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deployment of complex deep learning architectures . 7+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis, Model compression and Optimization & Computer architecture. Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills. Hands-on expertise with PyTorch, TensorRT, CuDNN Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud. Proficient in Python programming and bash scripting. Proficient in Windows, Ubuntu and Centos operating systems. Excellent communication and collaboration skills. Self-motivated and able to find creative practical solutions to problems. Good to have Hands-on experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF. Familiarity with cloud computing architectures Hands-on experience with Software Defined Networking and HPC cluster networking. Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt. Understanding of fast, distributed storage systems and Linux file systems for HPC workloads. About Company: AIRA Matrix provides artificial intelligence based solutions for Life Sciences applications. Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology and ophthalmology workflows across pharmaceutical and healthcare laboratories. We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. Our solutions provide cost benefits in the pharmaceutical domain, by speeding up pre-clinical drug development timelines, and by enhancing the efficiency of environmental monitoring required in manufacturing. In healthcare applications, our solutions improve treatment outcomes by aiding disease stratification and enabling management protocols tailored to individual patients. Our clients and partners include leading hospitals, pharmaceutical companies, CROs, and research labs around the world. Our deep learning platforms with existing network models and pre-built AI applications provide the foundation for fast customizations and help tackle any unique challenges in your image analysis and study management workflows. Our flexible service model enables the swift deployment of these custom solutions with minimal resource and time commitment from your side. Our Application Development Team plays an important role in developing competent customer facing applications to access our AI solutions and enterprise-level image management systems in life sciences. -- Regards, Surya Prajapati Talent Acquisition Specialist Email : surya.prajapati@airamatrix.com Website : https://www.airamatrix.com Dosti Pinnacle, 801, Rd No. 22, Wagle Industrial Estate , Thane (W) Maharashtra, India - 400604.

I started PayBack Foundation with a vision to create meaningful change. While my professional commitments are currently keeping me from actively leading it, I don’t want the purpose behind it to fade away. That’s why I’m looking for someone truly passionate about the development/non-profit sector — someone who wants to build, lead, and grow an NGO with heart, vision, and a deep sense of responsibility. 🔹 What’s on offer : An opportunity to take full ownership and leadership of an existing foundation — not just a job, but a chance to create real impact. 🔹 Who should apply : Only those who are genuinely driven to work in the social sector and see this as their calling — not just a role. If your heart lies in uplifting communities, designing programs, fundraising, collaborating with stakeholders, and making a difference — this might be for you. If this resonates with you or someone you know, let’s connect. Please message me or drop an email at [your email ID] with a short note on why this work matters to you . Let’s pass on the torch to someone who wants to carry the purpose forward. #NGO #LeadershipOpportunity #SocialSector #PayBackFoundation #Hiring #MakeADifference

We’re looking for a hands-on full stack who is a backend expert who can build cutting-edge AI platforms to the next level: pixel-perfect UIs, production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. Key Responsibilities Build core backend enhancements including APIs, security (OAuth2/JWT, rate-limiting, SecretManager), and observability (structured logging, tracing) Add CI/CD pipelines, implement test automation, configure health checks, and create SLO dashboards Develop awesome UI interfaces using React.js/Next.js, Redux/Context, Tailwind, MUI, Custom-CSS, Shadcn, and Axios Design LLM and agentic services by creating micro/mini-services that host and route to OpenAI, Anthropic, local HF models, embeddings, and RAG pipelines Implement autonomous and recursive agents that orchestrate multi-step chains using tools, memory, and planning Spin up GPU/CPU inference servers behind an API gateway for model-inference infrastructure Optimize throughput with batching, streaming, quantization, and caching using Redis/pgvector Own the NLP stack by leveraging transformers for classification, extraction, and embedding generation Build data pipelines that integrate aggregated business metrics with model telemetry for analytics Mentor juniors to support learning and professional development Tech You’ll Touch Fullstack/Backend, Infra Python(or NodeJs), FastAPI, Starlette, Pydantic Async SQLAlchemy, Postgres, Alembic, pgvector Docker, Kubernetes or ECS/Fargate - AWS (Or) GCP Redis/RabbitMQ/Celery (jobs & caching) Prometheus, Grafana, OpenTelemetry If you are a fullstack, then - react.js/next.js/shadcn/tailwind.css/MUI AI/NLP HuggingFace Transformers, LangChain / Llama-Index, Torch / TensorRT OpenAI, Anthropic, Azure OpenAI, Cohere APIs Vector search (Pinecone, Qdrant, PGVector) Tooling- Pytest, GitHub Actions and Terraform/CDK preferred Why does this role matter? We are growing. We have projects & products that have different challenges This role will expand into learning & contribution in parallel to succeed together If you are an engineer who’s looking for the next leap in challenges to set your career on a rocket trajectory - this is an apt role You will work in the Founder’s office, replicate the founder & grow organically You will close these gaps while leading all future AI service development Hiring Process Short call → assignment → live coding/system design 1.5 hour → team fit: 30 minutes →offer About Company: C4Scale builds innovative products for startups, enterprises, and planet-scale companies, taking systems from zero to MVP and from MVP to scale. Our expertise spans B2B SaaS products, WebApps, AI models, chatbots, AI-driven applications, and LLM-based solutions, developed for multiple global clients. Recognized as one of the “10 Most Promising SaaS Startups – 2023” by CIOTechOutlook magazine, we take pride in driving impactful solutions. Our founder previously led data at a leading ride-hailing super-app serving over 300 million consumers, enhancing mobility experiences across Southeast Asia. With 10+ AI and SaaS projects delivered across the USA, Ireland, Saudi Arabia, Indonesia, and India, C4Scale is building the future of intelligent products- leveraging deep learning, generative AI, cloud SaaS, and product engineering to deliver innovation at speed and scale.

Mission Statement: To awaken the world’s love for learning by building the most inspiring education platform of our time—where every lesson is powered by excellence, every game by joy, and every learner by AI. We begin with English, but our mission is vast: to carry the torch of education into every home, every heart, and every nation. From 22 years of unmatched teaching, we now rise as a digital force—reimagining what learning can be for the billions still waiting. Location: Remote (India) Position Type: Contracted Rate: $8 an Hour Applicants must reside in India and be authorized to work as independent contractors working hours of ET. We are seeking a Video/Audio Editor to join our remote team and help create short-form educational videos. This is a contract role ideal for someone early in their editing career who is ready to work on meaningful projects in a supportive and collaborative environment with 1-2 years’ experience. In this role, you’ll be editing videos and audio that are under one minute long, using finalized scripts and clear creative guidelines. You’ll assemble scenes, apply basic color correction, mix audio, and export in multiple formats (16:9 and 9:16). You won’t need to create animations or generate AI content, all necessary assets will be provided. This is a great opportunity for someone looking to grow in a fast-moving creative team and gain experience working with editors, designers, and AI artists on projects that make a real impact. Attention to detail, clear communication, and the ability to follow directions are key. Key Responsibilities Edit short-form (under one minute) educational videos and audio based on finalized scripts and provided guidelines Assemble video timelines using Adobe Premiere Pro or DaVinci Resolve, incorporating approved footage and assets Apply basic color correction and color matching to maintain consistency between shots Perform basic sound design and audio mixing for voice, effects, and music elements Add simple title design and on-screen text where required Export videos in multiple formats including 16:9 (landscape) and 9:16 (vertical) for different platforms Create multiple cut versions of the same content based on team needs Follow collaborative feedback processes using Frame.io and communicate clearly with teammates Work closely with a larger production team that includes editors, motion designers, and AI content creators Maintain clear file organization and meet deadlines for assigned video projects Qualifications Basic proficiency in Adobe Premiere Pro or DaVinci Resolve Understanding of video editing fundamentals, including timeline assembly, audio syncing, and exports Experience with basic color correction, color matching, and audio mixing Comfort adding simple titles and on-screen text using built-in tools or templates Ability to export and format videos for multiple aspect ratios (16:9 and 9:16) Familiarity with Frame.io or other collaborative review tools is a plus Strong attention to detail and ability to follow scripts and editing guidelines Clear communicator who works well in a team and takes feedback constructively Strong communication skills and comfort working in a collaborative, remote team environment Previous experience editing short-form video content (personal projects, school assignments, freelance, etc.) is welcome but not required Physical Requirements This is a remote, computer-based role. The position requires prolonged periods of sitting and working at a desk, as well as regular use of a computer, mouse, and keyboard. Additional Information This is a contracted position. All work is project based and does not constitute an offer of employment Contractors are responsible for providing their own computer, internet access, and working environment. Access to required software will be provided by Our English Group, LLC Compensation and scope of work will be outlined in a separate contractor agreement Compensation will be processed through Rippling, with currency and payment preferences set up based on contractor onboarding details Contractors are responsible for complying with any applicable tax or invoicing requirements All work produced is the property of Our English Group, LLC and may not be used or distributed without written permission Selected applicants may be asked to sign a non-disclosure agreement and/or independent contractor agreement prior to starting work Contractors may be required to complete basic data security training and adhere to Our English Group, LLC confidentiality and content protection standards

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data. 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. We are looking for experienced software developers with: *strong analytical and problem-solving abilities *ability to coordinate with multiple teams and ensure smooth coordination *experience with migrating legacy enterprise apps into microservice architecture along with data migration *ability to prioritize tasks and manage time effectively to meet deadlines *good verbal and written communication skills *ability to work collaboratively in a team setting Responsibilities: We are looking for a talented Microsoft full stack engineer development Specialist with a robust technical foundation to join our team. Experience: 3-7 years working Azure AI Services/ Azure Cognitive Services with a demonstrated track record of working with Azure App Development leveragring the Azure services and managing deployments using Azure Kubernetes Services(AKS). AI Frameworks/Services: Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming: Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise: Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering: Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies: Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory skill sets: Microsoft Azure, Microsoft full stack engineer Preferred skill sets: AI/ML Developer Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Certifications/Credentials Years of experience required: 3-7yrs Education qualification: B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Programming, Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data. 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. We are looking for experienced software developers with: *strong analytical and problem-solving abilities *ability to coordinate with multiple teams and ensure smooth coordination *experience with migrating legacy enterprise apps into microservice architecture along with data migration *ability to prioritize tasks and manage time effectively to meet deadlines *good verbal and written communication skills *ability to work collaboratively in a team setting Responsibilities: We are looking for a talented Microsoft full stack engineer development Specialist with a robust technical foundation to join our team. Experience: 3-7 years working Azure AI Services/ Azure Cognitive Services with a demonstrated track record of working with Azure App Development leveragring the Azure services and managing deployments using Azure Kubernetes Services(AKS). AI Frameworks/Services: Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming: Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise: Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering: Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies: Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory skill sets: Microsoft Azure, Microsoft full stack engineer Preferred skill sets: AI/ML Developer Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Certifications/Credentials Years of experience required: 3-7yrs Education qualification: B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Programming, Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Experience: 5 to 7years Location: Bangalore Work mode: Hybrid Notice Period: Immediate to 30days Mandatory Skills: Python, Gen AI, AWS, Agentic AI, Strong ML fundamentals, Falsk , Fast API, Py Torch Programming Languages: Python Cloud Platforms: Azure, AWS AI Frameworks & Tools: Lang chain, LangGraph, Py Torch, SpaCy, DSPy Web Frameworks: Flask, Fast API Containerization: Docker Search & Indexing: Experience with at least one indexer Additional: MCP, API Development, LLM Evaluation, Agentic AI Preferred Skills: Familiarity with other cloud-based tools and services for AI and ML development Knowledge of best practices for deploying AI models at scale Education Qualification: Engineering or master’s in computer science Roles & Responsibilities: Model Fine-Tuning & Training: Fine-tune Large Language Models (LLMs) to optimize their performance for specific tasks and improve overall model accuracy. Model Deployment: Deploy generative AI models into production environments using cloud platforms (Azure, AWS) and containerization technologies such as Docker. Cloud Integration: Design and implement end-to-end AI solutions using services from Azure or AWS Marketplace, including but not limited to Cognitive Services, Object Storage, API Management (APIM), and App Services. NLP & Search Solutions: Implement NLP-based solutions and develop indexing/search capabilities, with in-depth experience in at least one indexing systems. API Development: Build and maintain RESTful APIs using frameworks like Flask or Fast API to serve AI models and integrate them with external systems. LLM Evaluation & Agentic AI: Evaluate the performance of LLMs for various use cases and explore the potential of agentic AI to improve system efficiency. Continuous Learning & Research: Stay up to date with the latest advancements in Generative AI, NLP, and related fields, and incorporate these advancements into the development process Project Details: We are seeking a highly skilled GenAI Engineer with a strong background in Natural Language Processing (NLP), model fine-tuning, deployment, and evaluation. The ideal candidate will possess hands-on experience with Python and cloud platforms such as Azure and AWS, along with familiarity with various AI frameworks and tools like Lang chain, Py Torch, and SpaCy. Job Types: Full-time, Permanent, Contractual / Temporary Pay: ₹2,200,000.00 - ₹2,800,000.00 per year Ability to commute/relocate: Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Notice period Current CTC Expected CTC Experience: Python: 4 years (Required) Azure, AWS: 4 years (Required) Search & Indexing: 1 year (Required) Total: 5 years (Required) AI: Lang chain, LangGraph, Py Torch, SpaCy, DSPy: 3 years (Required) Flask, Fast API: 4 years (Required) Work Location: In person

Location{{:}} Jajpur, Odisha Department{{:}} SMS Carbon Steel Projects (Electrical & Automation) Experience {{:}} 10+ Years Qualification {{:}} B.tech/Diploma (Electrical Engineering) - Full Time Shift Incharge – Cranes (MHS) Key Responsibilities{{:}} Troubleshoot and service ABB Drives{{:}} ACS 880, ACS 800 Troubleshoot and service Siemens Drives{{:}} SIMOVERT MASTERDRIVES, SINAMICS S120, G120, DC Drives Use and manage software tools{{:}} Siemens Starter, Siemens Drive Monitor, ABB Drive Composer, Simatic Manager Support EOT Crane commissioning and backup development Maintain drive-related documentation and support audits Ensure shift-wise availability and smooth functioning of cranes Key Skills{{:}} Hands-on experience with industrial drives (ABB & Siemens) Familiar with EOT crane logic, drive tuning, interlocking, and fail-safes Proficient in drive software tools and Siemens PLC interface Strong analytical and troubleshooting capability Shift Incharge – Caster Key Responsibilities{{:}} Monitor and maintain slab caster operations and mechanical/electrical equipment Troubleshoot systems{{:}} AMLC, EMS, HMO, BOPS, Online Mould Width, Segment Gap Optimization Troubleshoot and maintain ABB Drives (ACS800, ACS880) and Siemens Drives (S120, G120) Diagnose issues in instruments like control valves, transmitters, encoders Operate and maintain Torch Cutting Machine systems Basic PLC troubleshooting and hardware understanding Use software tools{{:}} Simatic Manager, Siemens Starter, ABB Drive Window, SAP Handle shift activities, manage SOP, SMP, HIRA compliance Key Skills{{:}} Technical knowledge of slab caster processes Hands-on with instrumentation and drive troubleshooting Basic programming knowledge for Siemens PLC Team leadership and shift management Automation Engineer – Level 1 Key Responsibilities{{:}} Troubleshoot Siemens PLCs{{:}} S7-300, 400, 1200, 1500 Work on SCADA systems, WinCC, CFC, and safety logic Use software{{:}} Simatic Manager, TIA Portal, Distributed Safety, CFC Implement and maintain PLC-to-PLC communication, client-server architectures Ensure real-time data exchange, system backups, and documentation Key Skills{{:}} Strong grasp of Siemens PLCs and programming environments SCADA system architecture and user interface customization Understanding of industrial networking protocols Analytical and problem-solving skills Shift Incharge – LRF (Ladle Refining Furnace) Key Responsibilities{{:}} Troubleshoot equipment in EAF & LRF areas, including Furnace Transformers & OLTC Maintain and service Siemens Drives Work with instruments{{:}} flow meters, pressure and temperature transmitters Troubleshoot and operate EOT cranes Utilize software tools{{:}} Siemens Starter, Drive Monitor, ABB Drive Composer, Simatic Manager Key Skills{{:}} In-depth knowledge of LRF & EAF equipment Drive diagnostics and maintenance Experience with instrumentation in furnace environments Shift supervision and safety compliance Shift Incharge – BOF (Basic Oxygen Furnace) Key Responsibilities{{:}} Troubleshoot VFDs, PLCs, and software systems in BOF operations Handle instruments{{:}} flow meters, pressure and temperature transmitters Experience across SMS areas{{:}} BOF, EAF, LRF, AOD, FES, EOT Cranes Familiarity with large electrical assets{{:}} Transformers, VCBs, Motors Key Skills{{:}} Broad technical expertise in SMS operations Strong in electrical troubleshooting and instrumentation Understanding of integrated steel plant systems Leadership in safety and shift operations Section Incharge – 33 kV Substation Key Responsibilities{{:}} Operate and supervise 33kV/6.6kV switchboards, transformers, and relays Maintain 160 MVAR Static VAR Compensator (SVC) for reactive power support Conduct inspections, monitor equipment, and respond to electrical faults Perform preventive/corrective maintenance as per OEM standards Test and calibrate protective relays, CBs, interlocks Ensure LOTO compliance, risk assessment, and safety protocols Maintain detailed logs and generate reports for breakdowns, maintenance, and analysis Key Skills{{:}} In-depth knowledge of high-voltage substations and systems Fault diagnosis and restoration capability Expertise in electrical safety standards (IEC/IEEE) Documentation and reporting skills

We at HCLTech are seeking a highly skilled and experienced Technical Architect to join our team and play a pivotal role in transforming business processes and enhancing operational efficiency. The ideal candidate will possess strong expertise in Artificial Intelligence, a proven track record of success in developing and implementing Machine learning , Python, NLP and a passion for leveraging technology to drive business transformation. Job Description Role: Technical Architect (AI/ML Architect) Experience: 10+ years Location: Noida Working Model: Hybrid Notice Period Required: Any Responsibilities & Qualifications: Must have skills: Research, develop, optimize and productize for artificial intelligence and machine learning applications · In-depth knowledge of machine learning, text extraction and image processing techniques & Natural Language Processing · Experience in developing machine learning, text extraction and image processing algorithms, and optimizing the existing algorithms. · Coding experience in Python. · Experience in products like Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV or similar tools. · Experience working with Cloud Services – AWS, Azure etc. · Takes ownership of self-professional development · The desired candidate should be a quick thinker and should have a track record of high performance product development. Additionally, the candidate should be innovative, dedicated and result oriented. · Research experience is preferred. · Strong background in Math specially in statistics , modelling and matrices. · Only candidates with B.Tech & M.Tech background are considered. Benefits: · Competitive salary and comprehensive benefits package · Opportunity to work on cutting-edge projects. · Collaborative and supportive work environment · Professional development and training opportunities Kindly share across your resume at Prabha.kumari@hcltech.com along with the below requested details: · Total experience: · Relevant experience in NLP , Gen AI , ML Models , Python : · Notice Period: · Education Qualification

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings. Our team is responsible for mission critical functions such as High Availability, Scalability, Storage and Data Integrity for millions of databases. This is a great opportunity to learn and work on the internals of enterprise class relational database engines, solve hard problems, and build a highly scalable and reliable data service. You will be working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of the Azure Hyperscale Database service. Join us to help us advance the state of the art in Database Systems. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Responsibilities As an engineer in the Hyperscale team in Azure SQL Database, you will work on the latest technology in compute and storage, apply innovative algorithms for solving database, computing, and storage problems at scale and with high performance. We need collaborative developers who can think big and find creative ways to meet these challenges As a technical lead, you will get to mentor and lead a group of engineers and drive the team effort to success. You will get to work with technical experts across the globe, acquire and pass on the knowledge to other engineers in the team You will demonstrate strong customer empathy and participate in live site rotations to mitigate and resolve the challenges faced by customers Embody our culture and values Qualifications Required/Minimum Qualifications Bachelor’s degree in computer science, engineering or mathematics 7+ years of experience working in the System design and development space Proficient in C/C++ Hands on experience in troubleshooting, debugging complex problems Self-driven, results oriented, ability to work collaboratively and provide technical leadership/guidance to junior engineers Preferred/Additional Qualifications Experience with relational database internals and storage systems Experience with large scale distributed systems, multithreading and concurrency management Strong problem-solving, interpersonal, and communication skills Proven experience in improving product quality and reliability Good knowledge in the software release process and automation Torch bearer for good engineering practices such as specs, code reviews, root cause analysis process etc. 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.

Vadodara(Gujarat) 10k- 15k ( As per expertise) About The Position We are looking for a committed Instructor/trainer to lead the implementation of Introduction to Basic Technology project, focusing on engineering skills and working with machines and materials for students from class 6th to 10th. The role emphasizes hands-on engineering education, basic construction, electronics, and programming fundamentals. Responsibilities Teach basic engineering skills, toy making using simple machines, work with PVC pipes, school furniture repair Conduct woodworking basics, bamboo crafting, bicycle maintenance, solar cooker construction/PV module projects Demonstrate construction basics, material usage, mortar/plaster preparation, curing techniques, building maintenance including painting and repairs Cover electrical and electronics basics, simple circuit creation, torch/lighting/earthing projects, simple electronics projects, Arduino-based projects Introduce Scratch programming, flowchart creation, Tinkercad and design software basics, advanced software applications for drawing/video editing/documentation Additional Responsibilities Calendarize training sessions for classes 6-10 Build and maintain relationships with schools, local authorities, and community leaders Prepare detailed session plans and conduct regular workshops Ensure proper laboratory setup with tools and materials, coordinate with Manager Monitor program progress, collect data, and report on outcomes Conduct regular practical assessments and project evaluations Mandatory Qualification And Experience Diploma in Electronics/Mechanical/Electrical Engineering ITI certification with relevant trade experience Basic knowledge of programming (Scratch, Arduino), CAD software, and electronics 0-2 years of experience in technical training or workshop management Strong communication skills in Hindi and local languages (Gujarati preferred) Proficiency in MS Office, basic design software, and reporting tools Willingness to work with tools, machinery, and conduct practical workshops Safety consciousness for workshop environments How to apply Please Send Your CV Along With a Cover Letter To Hiring@bharatcares.org With The Subject Line “Trainer- Machine And Material - Vadodara”. Please Mention The Following Details In The Email Body Current Location Preferred Location Notice Period Current Salary Expected Salary Why do you think yourself a good fit for this role (at least 50 words, max 200 words) Note: Only short-listed candidates will be contacted. This role is for the candidates with relevant experience as per the details mentioned above Job Summary Salary: 10k- 15k ( As per expertise) Location: Vadodara(Gujarat) Deadline: 30 Sep, 2025 About Bharatcares BharatCares (SMEC Trust), the social impact arm of the CSRBOX Group stands tall amongst the Top 50 Social Impact Organizations in India. Specifically established and curated for program delivery, BharatCares' commitment revolves around the principles of innovation, technology, and scalability, aiming to address societal challenges comprehensively. Functioning as a social solution bridge, BharatCares facilitates collaboration among communities, innovators, funders and government to implement the best impact solution for the last mile. Our flagship initiatives focus on improving education, employability, rural and healthcare infrastructure, entrepreneurship, environmental sustainability and road safety. For more information, visit: www.bharatcares.org Curious about what Life @ CSRBOX /BharatCares looks like? Explore: https://csrbox.org/Life-at-CSRBOX/

Note: Looking for Immediate Joiner. Job Title: Machine Learning Engineer (AI ML) Job Summary: Primary Skills • Master degree from Computer science, Mathematics, Statistics and other relative disciplines • Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. • Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… • Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … • Excellent written and verbal communication skills for coordinating across teams. • Experience in code management using Git Secondary Skills • Experience in Ecommerce or Advertising verticals is a plus • Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … • Experience on parallel computing and GPU acceleration is a plus • Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies.  Assess the effectiveness and accuracy of new data sources and data gathering techniques.  Transforming data science prototypes and applying appropriate algorithms and tools.  Develop custom ML and non-ML models and algorithms to apply to data sets.  Define the evaluation approach of models  Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.  Coordinate with different functional teams to implement models and monitor outcomes.  Keeping abreast of developments in corresponding domains Note: Looking for Immediate Joiner only.

Vadodara(Gujarat) | About CSRBOX BharatCares (SMEC Trust), the social impact arm of the CSRBOX Group stands tall amongst the Top 50 Social Impact Organizations in India. Specifically established and curated for program delivery, BharatCares' commitment revolves around the principles of innovation, technology, and scalability, aiming to address societal challenges comprehensively. Functioning as a social solution bridge, BharatCares facilitates collaboration among communities, innovators, funders and government to implement the best impact solution for the last mile. Our flagship initiatives focus on improving education, employability, rural and healthcare infrastructure, entrepreneurship, environmental sustainability and road safety. For more information, visit: www.bharatcares.org Curious about what Life @ CSRBOX /BharatCares looks like? Explore: https://csrbox.org/Life-at-CSRBOX/ About the Position We are looking for a committed Instructor/trainer to lead the implementation of Introduction to Basic Technology project, focusing on engineering skills and working with machines and materials for students from class 6th to 10th. The role emphasizes hands-on engineering education, basic construction, electronics, and programming fundamentals. Responsibilities Teach basic engineering skills, toy making using simple machines, work with PVC pipes, school furniture repair Conduct woodworking basics, bamboo crafting, bicycle maintenance, solar cooker construction/PV module projects Demonstrate construction basics, material usage, mortar/plaster preparation, curing techniques, building maintenance including painting and repairs Cover electrical and electronics basics, simple circuit creation, torch/lighting/earthing projects, simple electronics projects, Arduino-based projects Introduce Scratch programming, flowchart creation, Tinkercad and design software basics, advanced software applications for drawing/video editing/documentation Additional Responsibilities: Calendarize training sessions for classes 6-10 Build and maintain relationships with schools, local authorities, and community leaders Prepare detailed session plans and conduct regular workshops Ensure proper laboratory setup with tools and materials, coordinate with Manager Monitor program progress, collect data, and report on outcomes Conduct regular practical assessments and project evaluations Mandatory Qualification and Experience: Diploma in Electronics/Mechanical/Electrical Engineering ITI certification with relevant trade experience Basic knowledge of programming (Scratch, Arduino), CAD software, and electronics 0-2 years of experience in technical training or workshop management Strong communication skills in Hindi and local languages (Gujarati preferred) Proficiency in MS Office, basic design software, and reporting tools Willingness to work with tools, machinery, and conduct practical workshops Safety consciousness for workshop environments Desirable How to apply Please send your CV along with a cover letter to hiring @bharatcares.org with the subject line “Trainer- Machine and Material - Vadodara”. Please mention the following details in the email body: 1. Current Location 2. Preferred Location 3. Notice Period 4. Current Salary 5. Expected Salary 6. Why do you think yourself a good fit for this role (at least 50 words, max 200 words) Note: Only short-listed candidates will be contacted. This role is for the candidates with relevant experience as per the details mentioned above

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. How will you make an impact in this role? We are seeking an experienced Site Reliability Engineer to join our Generative AI infrastructure team. This role focuses on ensuring the reliability, scalability, and performance of our RAG (Retrieval-Augmented Generation) systems and agentic AI architectures. The ideal candidate will have 5+ years of SRE experience with specialized expertise in AI/ML infrastructure, particularly in production deployment and operation of large language models, vector databases, and autonomous agent systems. Key Responsibilities AI Infrastructure Management & Reliability Design, deploy, and maintain highly available RAG pipelines including vector databases, embedding services, and LLM inference infrastructure Ensure reliable operation of agentic AI systems including multi-agent orchestration platforms, tool integration frameworks, and decision-making workflows Implement comprehensive monitoring and observability for AI model performance, token usage, latency, and accuracy metrics Lead incident response for AI system outages, including model degradation, vector search failures, and agent execution issues RAG System Operations Optimize and maintain vector database infrastructure (Pinecone, Weaviate, Chroma, or similar) for high-performance similarity search at scale Manage embedding model deployments and ensure consistent document ingestion pipelines with proper chunking and preprocessing Implement retrieval quality monitoring, including relevance scoring and context window optimization Design and maintain hybrid search systems combining vector and traditional search methodologies Agentic Architecture Reliability Build and maintain infrastructure for autonomous agent systems including planning, reasoning, and tool execution frameworks Implement robust error handling and fallback mechanisms for agent decision chains and multi-step workflows Monitor and optimize agent performance metrics including success rates, execution time, and resource utilization Ensure secure and reliable integration between agents and external APIs, databases, and services MLOps & Platform Engineering Develop Infrastructure as Code solutions for AI/ML workloads including GPU clusters, model serving infrastructure, and data pipelines Build automated deployment pipelines for LLM fine-tuning, RAG system updates, and agent workflow modifications Implement A/B testing frameworks for AI system improvements and model version management Design capacity planning and auto-scaling solutions for variable AI workloads and inference demands Required Skills & Experience Generative AI & ML Infrastructure 5+ years of SRE/DevOps experience with 2+ years specifically focused on AI/ML production systems Deep hands-on experience with RAG architecture implementation including vector databases, embedding models, and retrieval systems Proven experience with agentic AI frameworks (LangChain, LlamaIndex, AutoGPT, CrewAI, or similar) and multi-agent orchestration Strong understanding of LLM deployment and optimization including model serving frameworks (vLLM, TensorRT-LLM, Triton) and GPU infrastructure management Vector & Search Technologies Proficiency with vector database technologies (PgVector, Pinecone, Weaviate, Qdrant, Chroma, Milvus) and their operational requirements Experience with embedding models (OpenAI, Sentence Transformers, Cohere) and semantic search optimization Knowledge of hybrid search implementations combining vector, keyword, and graph-based retrieval methods Understanding of chunking strategies, document preprocessing, and knowledge graph integration AI System Monitoring & Observability Experience implementing AI-specific monitoring including model drift detection, hallucination tracking, and response quality metrics Proficiency with MLOps tools (MLflow, Weights & Biases, Neptune) and experiment tracking systems Knowledge of AI system debugging including prompt tracing, agent execution visualization, and performance bottleneck identification Understanding of AI safety monitoring including content filtering, bias detection, and usage pattern analysis Infrastructure & Cloud Platforms Proficiency with cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML) and their operational aspects Advanced Kubernetes experience including GPU scheduling, resource quotas, and AI workload optimization Experience with container technologies optimized for ML workloads and model serving Programming & Automation Proficient in Python with deep understanding of AI/ML libraries (transformers, langchain, llamaindex, torch, numpy) Experience with Infrastructure as Code tools (Terraform, Helm) specifically for AI infrastructure provisioning Strong API design and integration skills for AI service orchestration and tool integration Knowledge of streaming and async processing for real-time AI applications Specialized Experience RAG Systems Production experience with document ingestion pipelines, chunking strategies, and metadata management Understanding of retrieval quality optimization including re-ranking, query expansion, and context selection Experience with multi-modal RAG systems incorporating text, images, and structured data Knowledge of RAG evaluation frameworks and automated quality assessment Agentic Architecture Hands-on experience with agent planning algorithms, tool selection mechanisms, and execution engines Understanding of multi-agent coordination, communication protocols, and distributed agent systems Experience with agent memory systems, state management, and long-running workflow orchestration Knowledge of agent safety mechanisms including execution sandboxing and output validation Preferred Qualifications Experience with fine-tuning and RLHF (Reinforcement Learning from Human Feedback) infrastructure Knowledge of edge AI deployment and model optimization techniques Familiarity with AI governance, compliance frameworks, and ethical AI implementation Experience with conversational AI platforms and dialogue management systems Understanding of knowledge graphs and symbolic reasoning integration with neural systems Benefits We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Summary We’re seeking a hands-on GenAI & Computer Vision Engineer with 3–5 years of experience delivering production-grade AI solutions. You must be fluent in the core libraries, tools, and cloud services listed below, and able to own end-to-end model development—from research and fine-tuning through deployment, monitoring, and iteration. In this role, you’ll tackle domain-specific challenges like LLM hallucinations, vector search scalability, real-time inference constraints, and concept drift in vision models. Key Responsibilities Generative AI & LLM Engineering Fine-tune and evaluate LLMs (Hugging Face Transformers, Ollama, LLaMA) for specialized tasks Deploy high-throughput inference pipelines using vLLM or Triton Inference Server Design agent-based workflows with LangChain or LangGraph, integrating vector databases (Pinecone, Weaviate) for retrieval-augmented generation Build scalable inference APIs with FastAPI or Flask, managing batching, concurrency, and rate-limiting Computer Vision Development Develop and optimize CV models (YOLOv8, Mask R-CNN, ResNet, EfficientNet, ByteTrack) for detection, segmentation, classification, and tracking Implement real-time pipelines using NVIDIA DeepStream or OpenCV (cv2); optimize with TensorRT or ONNX Runtime for edge and cloud deployments Handle data challenges—augmentation, domain adaptation, semi-supervised learning—and mitigate model drift in production MLOps & Deployment Containerize models and services with Docker; orchestrate with Kubernetes (KServe) or AWS SageMaker Pipelines Implement CI/CD for model/version management (MLflow, DVC), automated testing, and performance monitoring (Prometheus + Grafana) Manage scalability and cost by leveraging cloud autoscaling on AWS (EC2/EKS), GCP (Vertex AI), or Azure ML (AKS) Cross-Functional Collaboration Define SLAs for latency, accuracy, and throughput alongside product and DevOps teams Evangelize best practices in prompt engineering, model governance, data privacy, and interpretability Mentor junior engineers on reproducible research, code reviews, and end-to-end AI delivery Required Qualifications You must be proficient in at least one tool from each category below: LLM Frameworks & Tooling: Hugging Face Transformers, Ollama, vLLM, or LLaMA Agent & Retrieval Tools: LangChain or LangGraph; RAG with Pinecone, Weaviate, or Milvus Inference Serving: Triton Inference Server; FastAPI or Flask Computer Vision Frameworks & Libraries: PyTorch or TensorFlow; OpenCV (cv2) or NVIDIA DeepStream Model Optimization: TensorRT; ONNX Runtime; Torch-TensorRT MLOps & Versioning: Docker and Kubernetes (KServe, SageMaker); MLflow or DVC Monitoring & Observability: Prometheus; Grafana Cloud Platforms: AWS (SageMaker, EC2/EKS) or GCP (Vertex AI, AI Platform) or Azure ML (AKS, ML Studio) Programming Languages: Python (required); C++ or Go (preferred) Additionally Bachelor’s or Master’s in Computer Science, Electrical Engineering, AI/ML, or a related field 3–5 years of professional experience shipping both generative and vision-based AI models in production Strong problem-solving mindset; ability to debug issues like LLM drift, vector index staleness, and model degradation Excellent verbal and written communication skills Typical Domain Challenges You’ll Solve LLM Hallucination & Safety: Implement grounding, filtering, and classifier layers to reduce false or unsafe outputs Vector DB Scaling: Maintain low-latency, high-throughput similarity search as embeddings grow to millions Inference Latency: Balance batch sizing and concurrency to meet real-time SLAs on cloud and edge hardware Concept & Data Drift: Automate drift detection and retraining triggers in vision and language pipelines Multi-Modal Coordination: Seamlessly orchestrate data flow between vision models and LLM agents in complex workflows About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In Our Website - https://aurigait.com/

Position: Associate Product Manager – AI Experience: 3 Years Location: Gurugram About OutSpark OutSpark (backed by Times Internet) is an AI-powered career support platform that helps job seekers enhance their resumes, LinkedIn profiles, and interview readiness. Combining expert writers with smart AI tools, it offers tailored resume makeovers, profile optimization, and post suggestions for LinkedIn growth. With services spanning 150+ roles, OutSpark ensures ATS compatibility and recruiter appeal. Trusted by over 100K users, it supports professionals at all career stages. The platform's mission is to make job hunting smarter, faster, and more effective for everyone. We are now looking for a Sr. HR Business Partner to join our high-growth journey and enable our sales-driven teams through impactful people and operations strategies. What You’ll Do Be the torchbearer for AI innovation inside OutSpark. Track, experiment, and implement the latest AI tools, APIs, and models. Build POCs and products that push the boundaries of applied AI in career tech. Partner with PMs, engineers, and designers to convert AI ideas into real features. Be the go-to person for all things AI, from research to integration. Be the torch bearer for AI news, tools, services, models, and everything else AI for the entire OutSpark tech & product teams Who You Are Up to 3.5 years of product/tech experience, with at least 1.5 years hands-on in AI/Applied AI products. You literally live and breathe AI — reading, tinkering, testing every new tool. Bonus: you’ve built projects/POCs (even hobby ones) using AI or no-code/vibe coding tools. Fast learner, comfortable experimenting and failing forward. Know the various concepts of AI usage – RAG/ GenAI/ Agentic systems…. Understand how to evaluate AI models : Self hosted/ cloud hosted/ open source/ proprietary/ cost/ latency/ output quality Why Join Us This is your chance to define the AI roadmap of a fast-scaling career tech company. If you’ve ever wanted a platform where your AI obsession becomes a real product shaping thousands of careers — this is it.

Position: Associate Product Manager – AI Experience: 3 Years Location: Gurugram About OutSpark: OutSpark (backed by Times Internet) is an AI-powered career support platform that helps job seekers enhance their resumes, LinkedIn profiles, and interview readiness. Combining expert writers with smart AI tools, it offers tailored resume makeovers, profile optimization, and post suggestions for LinkedIn growth. With services spanning 150+ roles, OutSpark ensures ATS compatibility and recruiter appeal. Trusted by over 100K users, it supports professionals at all career stages. The platform's mission is to make job hunting smarter, faster, and more effective for everyone. We are now looking for a Sr. HR Business Partner to join our high-growth journey and enable our sales-driven teams through impactful people and operations strategies. What You’ll Do Be the torchbearer for AI innovation inside OutSpark. Track, experiment, and implement the latest AI tools, APIs, and models. Build POCs and products that push the boundaries of applied AI in career tech. Partner with PMs, engineers, and designers to convert AI ideas into real features. Be the go-to person for all things AI, from research to integration. Be the torch bearer for AI news, tools, services, models, and everything else AI for the entire OutSpark tech & product teams Who You Are Up to 3.5 years of product/tech experience, with at least 1.5 years hands-on in AI/Applied AI products. You literally live and breathe AI — reading, tinkering, testing every new tool. Bonus: you’ve built projects/POCs (even hobby ones) using AI or no-code/vibe coding tools. Fast learner, comfortable experimenting and failing forward. Know the various concepts of AI usage – RAG/ GenAI/ Agentic systems…. Understand how to evaluate AI models : Self hosted/ cloud hosted/ open source/ proprietary/ cost/ latency/ output quality Why Join Us This is your chance to define the AI roadmap of a fast-scaling career tech company. If you’ve ever wanted a platform where your AI obsession becomes a real product shaping thousands of careers — this is it.

Job Summary We’re seeking a hands-on GenAI & Computer Vision Engineer with 3–5 years of experience delivering production-grade AI solutions. You must be fluent in the core libraries, tools, and cloud services listed below, and able to own end-to-end model development—from research and fine-tuning through deployment, monitoring, and iteration. In this role, you’ll tackle domain-specific challenges like LLM hallucinations, vector search scalability, real-time inference constraints, and concept drift in vision models. Key Responsibilities Generative AI & LLM Engineering Fine-tune and evaluate LLMs (Hugging Face Transformers, Ollama, LLaMA) for specialized tasks Deploy high-throughput inference pipelines using vLLM or Triton Inference Server Design agent-based workflows with LangChain or LangGraph, integrating vector databases (Pinecone, Weaviate) for retrieval-augmented generation Build scalable inference APIs with FastAPI or Flask, managing batching, concurrency, and rate-limiting Computer Vision Development Develop and optimize CV models (YOLOv8, Mask R-CNN, ResNet, EfficientNet, ByteTrack) for detection, segmentation, classification, and tracking Implement real-time pipelines using NVIDIA DeepStream or OpenCV (cv2); optimize with TensorRT or ONNX Runtime for edge and cloud deployments Handle data challenges—augmentation, domain adaptation, semi-supervised learning—and mitigate model drift in production MLOps & Deployment Containerize models and services with Docker; orchestrate with Kubernetes (KServe) or AWS SageMaker Pipelines Implement CI/CD for model/version management (MLflow, DVC), automated testing, and performance monitoring (Prometheus + Grafana) Manage scalability and cost by leveraging cloud autoscaling on AWS (EC2/EKS), GCP (Vertex AI), or Azure ML (AKS) Cross-Functional Collaboration Define SLAs for latency, accuracy, and throughput alongside product and DevOps teams Evangelize best practices in prompt engineering, model governance, data privacy, and interpretability Mentor junior engineers on reproducible research, code reviews, and end-to-end AI delivery Required Qualifications You must be proficient in at least one tool from each category below: LLM Frameworks & Tooling: Hugging Face Transformers, Ollama, vLLM, or LLaMA Agent & Retrieval Tools: LangChain or LangGraph; RAG with Pinecone, Weaviate, or Milvus Inference Serving: Triton Inference Server; FastAPI or Flask Computer Vision Frameworks & Libraries: PyTorch or TensorFlow; OpenCV (cv2) or NVIDIA DeepStream Model Optimization: TensorRT; ONNX Runtime; Torch-TensorRT MLOps & Versioning: Docker and Kubernetes (KServe, SageMaker); MLflow or DVC Monitoring & Observability: Prometheus; Grafana Cloud Platforms: AWS (SageMaker, EC2/EKS) or GCP (Vertex AI, AI Platform) or Azure ML (AKS, ML Studio) Programming Languages: Python (required); C++ or Go (preferred) Additionally: Bachelor’s or Master’s in Computer Science, Electrical Engineering, AI/ML, or a related field 3–5 years of professional experience shipping both generative and vision-based AI models in production Strong problem-solving mindset; ability to debug issues like LLM drift, vector index staleness, and model degradation Excellent verbal and written communication skills Typical Domain Challenges You’ll Solve LLM Hallucination & Safety: Implement grounding, filtering, and classifier layers to reduce false or unsafe outputs Vector DB Scaling: Maintain low-latency, high-throughput similarity search as embeddings grow to millions Inference Latency: Balance batch sizing and concurrency to meet real-time SLAs on cloud and edge hardware Concept & Data Drift: Automate drift detection and retraining triggers in vision and language pipelines Multi-Modal Coordination: Seamlessly orchestrate data flow between vision models and LLM agents in complex workflows About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In Our Website - https://aurigait.com/

The ideal candidate for the AI/ML position in Bangalore should have a minimum of 6 to 12 years of experience and possess the following must-have skills: - A thorough understanding of AI/ML concepts, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI. - Prior experience in working with DL models, specifically in Computer Vision with frameworks like ResNet, YOLO v3, v4, v5, Efficient Det, etc. - Proficiency in developing Computer Vision applications using DL Frameworks such as TensorFlow, Caffe, Torch, and Toolkits like OpenVINO and TensorRT in both C++ and Python. - Conducting Functional, Performance Tests, and Accuracy Tests on DL Models. - Familiarity with Open Source libraries related to Computer Vision, DL Frameworks, and Toolkits including OpenVINO and TensorRT. - Strong programming skills in C++, with knowledge of the latest standards (C++17) and a background in Object-Oriented Programming. - Experience in performance optimization, developing mathematical routines/kernels with strict performance constraints. Additionally, the following skills are considered good to have: - Exposure to Version Control, Software integration, Continuous Integration, DevOps, Build Tools such as cmake, gcc toolchain, MSVC, etc. - Demonstrated ability to troubleshoot and debug problems in complex systems involving multiple proprietary and open-source components. - Experience in programming on Nvidia GPUs and a solid understanding of the usage of cuDNN and CUDA Libraries. If you possess the required expertise and are enthusiastic about working with cutting-edge technology, we encourage you to apply for this position or reach out to us for more information.,

To achieve the business objectives and targets for the assigned partners/locations through proactive relationship & sales management. To be seen as the torch bearer of the differentiated partner management approach of ManipalCigna. To ensure that Health Insurance becomes a primary contributor to the partner portfolio while achieving the assigned sales targets. Responsible for ensuring target achievement through the assigned partner/geographies.  To spearhead the cause of Health Insurance penetration amongst the partner employees bouquet of Third Party products.  To provide a One-stop Sales & Service support to partner employees and their hierarchy.  To enable partner sales staff to promote and secure sales of ManipalCigna products to their customers by providing real-time product, marketing and technical support before, after or during the sales  To maintain relations with the partner’s team and coach them to sell Cigna’s products. Resolve queries product and sales related queries  Create the excitement for Health Insurance within the partner organization through various engagement and R&R initiatives  Knowledge center for bank sales team  To be the core source of Market Intelligence to Cigna.  To identify the execution gaps in selling Health Insurance through the partner teams and work with the Cigna sales hierarchy to ensure filling of the gaps for a more efficient & effective sales execution

Vice President – Engineering Location : Gurgaon (In-Office) Working Days : Monday to Saturday (2nd and 4th Saturdays are working) Working Hours : 10:30 AM – 8:00 PM Experience : 10–15 years in full-stack engineering, with at least 4+ years in a senior leadership role in SaaS/AI platforms Apply at : careers@darwix.ai Subject Line : Application – VP Engineering – [Your Name] About Darwix AI Darwix AI is one of India’s fastest-growing GenAI SaaS platforms, transforming enterprise revenue teams with real-time conversational intelligence and AI-powered sales enablement tools. Our core product suite powers: Multilingual speech-to-text Real-time agent coaching & nudges Automated scoring of sales calls CRM/LOS integrations Analytics dashboards and more Our clients include leading brands in BFSI, real estate, retail, and healthcare , such as IndiaMart, Wakefit, Bank Dofar, Sobha, and GIVA . We operate across India, MENA, and Southeast Asia, and are backed by marquee investors, industry CXOs, and IIT/IIM/BITS alumni. As we scale to become the backbone of revenue intelligence globally, engineering excellence is the cornerstone of our journey. Role Overview We are looking for a visionary and hands-on Vice President – Engineering who will take end-to-end ownership of our technology stack, engineering roadmap, and team. You will be responsible for architecting scalable GenAI-first systems , driving high-velocity product shipping, ensuring enterprise-grade reliability, and building a high-performing engineering culture. This role requires strategic thinking, hands-on execution, deep experience with AI/ML or data-intensive platforms, and the ability to attract and retain top-tier engineering talent. You will work closely with the CEO, Head of AI/ML, Product, and Founder's Office to deliver robust, secure, and intelligent experiences across web and real-time systems. Key Responsibilities 1. Technology Leadership Define and drive the technology vision, architecture, and roadmap across AI, platform, data, and frontend systems Lead system architecture design for speech processing, real-time audio streaming, LLM-based agents, and multilingual interfaces Ensure engineering best practices: microservices design, scalability, uptime SLAs, and test automation 2. Team Building & People Leadership Build, mentor, and scale a high-performance engineering team including backend, frontend, AI, DevOps, QA, and integrations Instill a culture of ownership, fast iteration, performance reviews, and deep collaboration across teams Define career paths, recruit top-tier talent, and drive technical onboarding and coaching 3. Product Execution & Delivery Work with Product, Founders, and Sales Engineering to translate business needs into scalable technical implementations Own timelines, sprint planning, delivery schedules, and development velocity metrics Ensure security, latency, fault tolerance, and compliance across all releases 4. Platform & Infra Ownership Oversee cloud infrastructure on AWS (or GCP), containerization, CI/CD pipelines, observability, and cost optimization Own DevOps, uptime, disaster recovery, and horizontal scaling for high concurrency needs Manage data engineering and database architecture across PostgreSQL, MongoDB, S3, Redis, and vector DBs 5. AI/ML & GenAI Integration Work closely with Head of AI/ML on integrating Whisper, LangChain, custom RAG pipelines, and multilingual inference stacks into production systems Translate AI/ML research into performant APIs, stream pipelines, and real-time inference microservices Ensure optimized GPU/CPU utilization, caching, and latency control on real-time AI modules 6. Client-Facing & Sales Support Support enterprise pre-sales and post-sales engineering for large deals (in BFSI, real estate, etc.) Handle security reviews, solution architecture walkthroughs, and platform deep dives with client CTO teams Create system documentation, architecture diagrams, and technical solution notes Qualifications & Skills Must-Have 10–15 years of total experience in software engineering, with at least 4–5 years in senior leadership Proven experience scaling a B2B SaaS platform across geographies Deep backend expertise in Python, Node.js, PostgreSQL, MongoDB , microservices Strong understanding of cloud-native development (AWS/GCP), DevOps, CI/CD , and real-time systems Experience managing large-scale, concurrent user bases and low-latency applications Strong understanding of security protocols, enterprise authentication (SAML/OAuth), and compliance Good to Have Exposure to speech-to-text , audio processing, NLP, or GenAI-based inference systems Experience working with AI frameworks (Torch, HuggingFace, LangChain) and GPU inference optimization Familiarity with Flutter , Angular/React , or mobile deployment is a plus Hands-on experience with vector databases, Redis, WebSockets , and scalable caching mechanisms Who You Are You’ve built high-growth engineering teams from scratch or scaled them through 10x growth phases You’ve architected and shipped world-class SaaS systems, preferably with real-time or AI components You balance technical depth with strategic business alignment You lead by influence, feedback, and deep respect—not just authority You’re obsessed with metrics, uptime, shipping velocity, and end-user outcomes You’re energized by fast-paced environments, ambiguous challenges, and clear impact What Success Looks Like in 12 Months A rock-solid engineering team shipping weekly with full CI/CD and 99.99% uptime Near real-time AI inference systems powering multilingual speech and coaching Engineering velocity has doubled, without sacrificing stability Architecture is mature, modular, secure, and scalable across geographies You’ve built strong tech documentation and institutional knowledge systems Product features are built fast, secure, and adopted well by enterprise clients Engineering culture is resilient, hungry, and ready for global scale How to Apply Send your resume to careers@darwix.ai Subject: Application – VP Engineering – [Your Name] (Optional): Include a brief note outlining a high-impact engineering initiative you’ve led and the measurable impact it created. This is not just an engineering leadership role. It’s a rare opportunity to build a generational AI company from the ground up —as the tech backbone for sales teams globally. If you’ve built systems that scale, teams that thrive, and products that change behavior— we’d love to speak with you.

A TIG Welder job involves using Tungsten Inert Gas (TIG) welding to create precise, high-quality welds on materials like steel, stainless steel, and aluminum by following blueprints, preparing metal surfaces, operating welding equipment, and inspecting the final product for quality and compliance. Key responsibilities include material preparation, equipment setup and maintenance, adherence to safety protocols, and performing detailed welding tasks with high concentration and attention to detail. Key Responsibilities Blueprint Interpretation: Read and interpret blueprints, drawings, and specifications to understand welding requirements, dimensions, and sequences. Material Preparation: Cut, grind, and clean metal surfaces to prepare them for the TIG welding process. Welding: Perform precise TIG welding operations on various metals, maintaining a consistent weld bead and incorporating filler metal as needed. Equipment Operation & Maintenance: Set up, operate, and perform routine maintenance on TIG welding equipment, including torches, gas tanks, and regulators. Quality Control: Inspect finished welds for accuracy, quality, and compliance with customer or company specifications, ensuring there are no defects like cracks or porosity. Safety: Strictly adhere to safety protocols, wear appropriate personal protective equipment (PPE), and maintain a clean and organized workspace. Collaboration: Work effectively with other team members to complete projects efficiently and on schedule. Troubleshooting: Identify and resolve any malfunctions with the welding equipment. Essential Skills & Qualifications TIG Welding Expertise: Proven experience and high skill in TIG welding techniques on a variety of metals. Technical Drawing Skills: Ability to read and accurately interpret engineering drawings, blueprints, and other technical documents. Precision & Detail-Oriented: Possess a keen eye for detail and the ability to perform delicate, intricate welding tasks with high concentration. Physical Fitness: Stamina to stand for extended periods and hold the welding torch in a precise position. Problem-Solving: Ability to troubleshoot equipment issues and find solutions. Communication Skills: Strong communication skills to effectively collaborate with team members.

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President, AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras, Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts. The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing. Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements. Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business. Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary Research focus on problem solving through NLP(Natural Language Processing) is critical. Clear application on performance testing and validation framework of machine learning models Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount Minimum Qualifications Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc. Ability to work in cross functional teams Excellent data wrangling and visualization skills Hands on knowledge of SQL is expected A research mindset with a zeal to experiment new algorithms is expected Preferred Qualifications: Master’s in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute. A set of high impact research papers on applied NLP/ Deep Learning/ GenAI Prior experience working with Transformers/LSTMs/CNNs preferred Working knowledge of finetuning Large Language Models(LLMs) is a plus Deep knowledge of Statistics and Mathematics and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred and any of Tensorflow/Torch is preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

About us: Suhora is a cutting-edge technology firm that leverages satellite imagery, big data, and AI to solve problems surrounding Earth. We specialize in offering integrative all-weather, day-and-night solutions by combining Synthetic Aperture Radar (SAR), Optical, and Thermal data. Our mission is to utilize technology and our expertise in geospatial intelligence to make this world a better and more sustainable place. At Suhora, we are committed to delivering innovative solutions that help our clients make data-driven decisions, whether its for environmental monitoring, agriculture, disaster response, or infrastructure development. We believe that our expertise can make a tangible difference in addressing global challenges, and we're looking for individuals who are passionate about technology and sustainability to join our team. For more detailed information, visit our website: www.suhora.com Job Summary: We are seeking a Machine Learning Engineer with a focus on Large Language Models (LLMs), Natural Language Processing (NLP), and advanced techniques such as LLAMA and Retrieval-Augmented Generation (RAG). The ideal candidate will have hands-on experience in leveraging cutting-edge LLMs, including Meta's LLAMA models, and applying RAG to develop powerful AI systems. You will work on projects that combine NLP techniques with geospatial data, building systems that can process, analyze, and generate insights from geospatial intelligence applications. Responsibilities: - Develop LLMs & NLP Models: - Design, develop, and fine-tune LLAMA models, RAG architectures, and other LLM techniques (e.g., GPT, BERT) to process and generate text-based insights from geospatial data, reports, and metadata. - Build and integrate NLP models capable of performing information retrieval, extraction, and classification tasks from geospatial data reports and documents. - Implement Retrieval-Augmented Generation (RAG): - Design and implement RAG systems that enhance the performance of LLMs by integrating external knowledge sources for generating context-aware, accurate, and useful results. - Fine-tune LLAMA or other LLMs with RAG architectures to provide responses based on external retrieval of relevant information from large, unstructured datasets. - Text Analytics & Information Extraction: - Implement advanced NLP techniques for extracting key insights from unstructured geospatial text, such as location-based data, satellite data descriptions, and environmental reports. - Integrate LLMs with structured geospatial data, such as GeoTIFFs, shapefiles, or GIS data formats, to provide actionable insights. - Model Training and Optimization: - Train large-scale LLAMA models and RAG systems to handle diverse text datasets and optimize them for performance in real-time applications. - Ensure that models are efficient, scalable, and capable of processing massive volumes of geospatial-related text data. - Cross-Functional Collaboration: - Work closely with data scientists, software engineers, and domain experts to integrate NLP and LLM models into production pipelines. - Continuously contribute to R&D efforts, exploring and implementing new advancements in LLAMA, RAG, and NLP technologies. Required Skills & Qualifications: Experience: - 3-5 years of experience in machine learning, NLP, and LLMs, with specific hands-on experience working with LLAMA models or similar LLM technologies (e.g., GPT, BERT). - Experience in implementing Retrieval-Augmented Generation (RAG) techniques for improving model performance. Technical Expertise: - Strong proficiency in Python, and experience with NLP libraries and frameworks such as Hugging Face Transformers, spaCy, PyTorch, TensorFlow, or Torch. - Hands-on experience with LLAMA (Meta AI) or similar transformer-based models. - Proficiency in text processing techniques, including tokenization, named entity recognition (NER), sentiment analysis, and semantic search. Problem Solving & Collaboration: - Ability to analyze complex NLP tasks and translate them into scalable and efficient model solutions. - Strong collaboration skills to work with engineers and domain experts in delivering end-to-end NLP solutions. Preferred Skills: - Experience with geospatial data or knowledge of geospatial intelligence. - Familiarity with cloud platforms for model deployment (AWS, Google Cloud, Azure). - Knowledge of data augmentation, model fine-tuning, and reinforcement learning techniques. - Experience with Docker and Kubernetes for deploying machine learning models. Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields.,