146 Torch Jobs - Page 2

As the AVP-AI/ML Lead, your primary responsibility will be to develop innovative AI/ML solutions that cater to the specific business requirements and challenges faced by our clients. This will involve successfully managing project delivery, including data pre-processing, model training and evaluation, and parameter tuning, while ensuring stakeholder and customer expectations are met. You will be responsible for project blue printing, project documentation, and creating detailed project plans. It will also be crucial for you to stay updated on the latest advancements in AI/ML, particularly in the areas of NLP/NLU applications across various industries such as CPG and Finance. In this role, you will need to conceptualize, design, build, and implement solution algorithms within specified timelines. You will collaborate with clients to gather and analyze requirements, as well as develop effective analytics and text mining strategies. Working closely with digital development teams, you will integrate and optimize algorithms to create production-ready applications. Additionally, conducting applied research on diverse text analytics and machine learning projects, filing patents, and publishing papers will be part of your responsibilities. Preferred qualifications and skills for this role include expert knowledge in NLP, NLU, and various machine learning and deep learning methods. Proficiency in tools such as OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and NoSQL is essential. Experience in UI development for text mining insights visualization using platforms like Adobe Flex Builder, HTML5, and CSS3 is advantageous. Furthermore, familiarity with operating systems like Linux and Windows, GPU experience, and proficiency in distributed computing tools like Spark and Scala are desired. Knowledge of deep learning frameworks such as TensorFlow, Keras, Torch, and Theano will be beneficial in executing your responsibilities effectively.,

About Us WHY Linedata? Linedata is an award-winning software solutions company. We believe finance matters to our society as much as energy to life and fueling financial transformation is vital for development and leadership. We Humanize Technology We are passionate experts who provide investment management and credit communities with innovative, user-friendly products which help their businesses grow in over 50 countries Our environment is international, ego-free and relaxed. We believe in building confidence through giving clear responsibilities to our team members and managing to given goals and targets. We celebrate success and we enjoy each other’s company We employ more than 1100 employees representing 40 nationalities spread throughout our offices in 14 countries. We believe in mobility, diversity & teamwork. Our mission is to continue to find new ways to create and build flexible, mission-critical software and services and to stay on the cutting edge of the financial software space. JOIN THE MOVEMENT We provide the investment management and credit communities with an innovative, user-friendly suite of products that, through detailed market and client insights, help their business to grow in over 50 countries. We are transforming the financial services community which is in constant evolution. With our agility, we make technology simple & accessible for our users. Let’s work together to achieve the best solutions for our clients. Commitment to Diversity We recognize, celebrate, and seek to increase diversity across our organization. Diversity is an asset to organizations and is linked to better performance. It is an integral part of how we do business and imperative to our success. As an international Group, we also believe that our people need to reflect our clients and local communities. Linedata is an Equal Opportunity Employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation based on an individual's race, color, religion, religious creed, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information, marital status, sex, gender, age, sexual orientation, veteran and/or military status, protected medical leaves, domestic violence victim status, political affiliation, or any other status protected by federal, state, or local laws. Role Job Description Use ML and Generative AI tools to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their models Architect and create scalable ML and Generative AI solutions for business problems Work closely with account team to drive the business Requirements 7+ years of related industry experience in the machine learning domain 3+ years of design, implementation, or consulting in applications and infrastructures experience Experience in Torch, RNN, reinforcement learning Expertise in Python with the ability to write performant production-quality code Familiarity with SQL Experience building and scaling machine learning models in business applications using large amounts of data Experience building NLP related applications using LLM Job Requirement Academic Requirements Bacehlors and above degree in a quantitative subject (Statistics, Mathematics, Computer Science,)

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description Sprinklr is the unified platform for all customer-facing functions. We call it unified customer experience management (Unified-CXM). We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Headquartered in New York City with over 2,400 employees globally, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung, and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Role: In your role as a Product Engineer with us, you will be tasked with creating and delivering novel machine learning solutions for next generation of digital customer experience applications. What will you do : Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with product management and design to define project scope, priorities and timelines Work closely with machine learning leadership team to define and implement the technology and architectural strategy Take partial ownership of project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs, delivery Deliver and maintain high-quality scalable systems in a timely and cost-effective manner Recognizing potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team's workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 5 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers Experience with large language models (GPT-3, Pathways, Google Bert, Transformer) and deep learning tools (TensorFlow, Torch). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs Nice to Have: Experience in directly managing a team of high calibre machine learning engineers and data scientists Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology A real passion for AI! Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Designation: Production Supervisor (Sheet Metal Fabrication – Cutting & Press Shop) Key Responsibilities: 1. Daily Production Supervision: Monitor daily production targets and ensure timely execution as per plan. Allocate manpower and resources effectively across machines (shearing, laser, plasma, press). Coordinate with production planning and control (PPC) for schedule adherence. 2. Machine-wise Oversight: Shearing Machine: Ensure blade clearance and alignment settings. Supervise precision cutting, sheet squareness, and quality checks. Schedule and coordinate maintenance and sharpening of blades. Plasma Cutting Machine: Oversee CNC program loading and sheet nesting optimization. Check cut quality (kerf, dross level) and troubleshoot torch/gas issues. Monitor consumables usage and replacement schedule. Laser Cutting Machine: Validate laser settings based on material thickness. Ensure burr-free cutting, edge quality, and dimensional accuracy. Maintain optical components cleanliness and safety compliance. Press Shop (63 Ton – 500 Ton, Hydraulic & Power Press): Check die setting, stroke length, and press parameters. Supervise forming, blanking, piercing operations as per tool design. Inspect parts for burrs, cracks, and dimensional tolerances. Handle quick tool changeovers and ensure press safety protocols. 3. Quality & Inspection: Conduct in-process inspections and coordinate with QA team. Ensure zero-defect output through operator training and awareness. Implement first-piece inspection and approval system. 4. Maintenance & Downtime Management: Report equipment faults and ensure timely resolution via maintenance team. Maintain logbooks for machine downtime, breakdowns, and corrective action taken. 5. Safety & Compliance: Enforce proper PPE usage and machine safety interlocks. Conduct daily safety checks and ensure compliance with ISO/OSHA standards. Lead 5S and housekeeping in the work area. 6. Manpower Handling: Supervise and guide machine operators and helpers. Ensure proper shift handover and attendance tracking. Train new workers on operational SOPs and safety. 7. Documentation & Reporting: Maintain daily production reports (DPR), rejection data, and tool consumption. Track material usage, scrap generation, and yield. Support audits with machine records, production logs, and training registers. Skills Required: Strong knowledge of fabrication and press operations. Familiarity with CNC programming basics (for laser/plasma). Ability to read engineering drawings and use measuring tools. Leadership, discipline, and problem-solving attitude. Mail Id: personnel@knitvelneedles.com Phone No: 99429 76468 Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Food provided Health insurance Life insurance Provident Fund Education: Bachelor's (Required) Experience: Production management: 5 years (Required) Location: Hosur, Tamil Nadu (Required) Work Location: In person

We are transforming the financial services community which is in constant evolution. Like professional dancers we are experts in our field and are defining new pathways for financial services to serve the world. With our agility we make technology simple & accessible for our users. We all work together to achieve the best solutions for our clients. Tell us what your ambitions are, we will choreograph your career and take it to the next level! Job Role: • Use ML and Generative AI tools to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their models • Architect and create scalable ML and Generative AI solutions for business problems • Work closely with account team to drive the business Requirements: 7+ years of related industry experience in the machine learning domain 3+ years of design, implementation, or consulting in applications and infrastructures experience Experience in Torch, RNN, reinforcement learning Expertise in Python with the ability to write performant production-quality code Familiarity with SQL Experience building and scaling machine learning models in business applications using large amounts of data Experience building NLP related applications using LLM Academic Requirements Bachelors and above degree in a quantitative subject (Statistics, Mathematics, Computer Science,)

Job description: Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Mandatory Skills: Generative AI . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Role & responsibilities 5+ in Machine Learning Engineering Strong programming skills in Python with experience in libraries such as scikit-learn, torch, pandas, scipy, click, and flask and/or FastAPI. Experience with the AWS ecosystem ( AWS SageMaker ) Strong understanding of ML algorithms, techniques, and best practices. Strong programming skills in python and Data analytical expertise

About the Role: As a Machine Learning Operation Engineer at Onclusive, your primary responsibility will be to deploy, scale, and optimize backend algorithms, robust data ingestion pipelines, machine learning services, and data platforms to handle vast amounts of text and analytics data. You will leverage your technical expertise and Big Data analytics skills to address complex marketing challenges using Onclusive's extensive online content data. The role of an ML Ops Engineer is crucial to the success of Onclusive. Your responsibilities include designing and constructing scalable machine learning services and data platforms, utilizing benchmarks and metrics to enhance services, overseeing a system processing tens of millions of jobs daily, researching and implementing cutting-edge algorithms for data analysis, collaborating with data scientists and ML engineers on implementing ML, AI, and NLP techniques, and managing inference services on autoscaling fleets with GPUs and specialized hardware. Who you are: You hold a degree (BS, MS, or Ph.D.) in Computer Science or a related field, supported by practical experience. You should have a minimum of 2 years of experience with Kubernetes and/or Terraform, proficiency in Python with a solid grasp of Object-Oriented Programming principles, knowledge of containerization (preferably Docker), experience in Infrastructure as Code (IAC) for AWS (preferably Terraform), familiarity with Version Control Systems (particularly Git and GitHub) and CI/CD (preferably GitHub Actions), understanding of release management with a focus on testing and quality assurance, good grasp of ML principles, and desirable experience in Data Engineering tools like airflow, dbt, and meltano. Exposure to deep learning tech-stacks such as Torch, Tensorflow, and Transformers is a plus. What we can offer: Joining a rapidly growing global company, you will have the opportunity to enhance your skills and advance your career. In return for your contributions, we provide a competitive salary and benefits, a hybrid working environment within a team passionate about their work and supporting each other's development, and a company culture that prioritizes wellbeing and work-life balance through initiatives like flexible working arrangements and mental health support.,

MOBILE PCB REPAIR TECHNICIAN (PCB रिपेयर टेक्नीशियन) Microscope se flex PCB repair karne wale technician chahiye – Gurugram lab mein. Salary: ₹12,000 – 16,000 per month (start) + overtime, skill‑bonus review after 3 months COMPANY Yanti Innovative Electromotive Solutions Pvt Ltd – Sector 22, Gurugram. We revive logic‑boards for smartphones, wearables and EV battery packs used by leading fleets (Tata EV cars, Mahindra Last‑Mile, etc.) WHY JOIN US Modern A/C Lab – microscopes (120×), hot‑air stations, UV lamps, pre‑heaters, full ESD setup. Career Path – Technician → Senior Tech → Lab Lead (R&D prototypes/team handling). Skill Growth – Free training on reballing, UV solder‑masking, under‑fill epoxy, thermal cameras. Perks – On‑time salary, attendance bonus, paid leaves, Diwali bonus, evening snacks, knowledge‑sharing Fridays, annual health check. WHAT YOU'LL DO Diagnose boards with bench power supply & multimeter; locate shorts/open lines. Repair Tracks on flex PCBs under microscope; jumper hair‑thin copper lines. Swap Components (MOSFET, charging IC, sensors, etc.) with hot‑air or fine‑tip iron. Protect Fix – apply green UV solder‑mask (30 s cure) & under‑fill epoxy where needed. Clean & Seal – IPA wash + conformal coating for moisture protection. Test & Log – re‑power, verify readings, record job in simple Excel/ERP (English/Hindi). Meet Targets – follow daily TAT & 5S lab discipline; pass ESD safety quiz on day‑1. TOOLS YOU’LL USE: Bench PSU • Digital multimeter • Stereo microscope • Pre‑heater plate • Hot‑air gun • Precision iron • UV torch & solder‑mask • IPA & ESD brush. MUST‑HAVE SKILLS2–5 yrs micro‑soldering on mobile or similar PCBs. Can read simple board‑view / wiring diagrams. Steady hands, 6/6 vision (corrected OK). Min. Class 12 pass; ITI/Diploma Electronics preferred. Team player, punctual, willing to follow SOPs. BONUS POINTS: Repaired EV battery flex cables / BMS boards. Used an oscilloscope or a thermal camera for fault‑finding. IPC / ETA soldering certificate. Basic spoken English for customer updates. LOCATION Gurugram residents (easy commute to Sector 22). Delhi‑NCR (Noida / Faridabad / Ghaziabad) – relocation help available. HOW TO APPLY Fastest: WhatsApp +91 73554 12857 Hi Yanti team, I’m . Applying for Mobile PCB Repair Technician. City: Experience: microsoldering Expected salary: ₹_____ Attach (a) résumé PDF/photo and (b) optional 60‑sec video of any fine‑track repair (or bring a sample board to interview). Alternate: • Email CV: romesh@yanti.co.in • Call/SMS: +91 94130 04778 • LinkedIn DM: https://www.linkedin.com/in/romeshg/ Hiring closes: 31 July 2025. Offers issued within 7 days of the bench test. FOOTER Yanti Innovative Electromotive Solutions Pvt Ltd is an equal‑opportunity employer. Applicant videos/files are stored securely and deleted within 30 days if you are not selected. Lab Address: 2 Mollahera, Sector 22, Near RPS School, Gurugram, Haryana 122015 Website: www.yanti.co.in No long forms – just show us your soldering skill and grow with a fast‑rising EV electronics team!

Work Model: Hybrid (One in a week to office) Locations: Chennai, Bengaluru, Gurgaon, Pune Job Purpose: Analyzing, designing, developing, and managing the infrastructure to release scalable Data Science models. The ML Engineer is expected to deploy, monitor and operate production grade AI systems in a scalable, automated, and repeatable way. Job Responsibilities Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to the user requests in near real time. Design and implement the pipelines for training and deployment of ML models. Design dashboards to monitor a system. Collect metrics and create alerts based on them. Design and execute performance tests. Perform feasibility studies/analysis with a critical point of view. Support and maintain (troubleshoot issues with data and applications). Develop technical documentation for applications, including diagrams and manuals. Working on many different software challenges always ensuring a combination of simplicity and maintainability within the code. Contribute to architectural designs of large complexity and size, potentially involving several distinct software components. Mentoring other engineers fostering good engineering practices across the department. Working closely with data scientists and a variety of end-users (across diverse cultures) to ensure technical compatibility and user satisfaction. Work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Role Requirements E=essential, P=preferred P - Bachelor's degree in Computer Science or related field P - Masters degree in data engineering or related E - Demonstrated experience and knowledge in Linux and Docker containers E - Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS) P - Demonstrated experience and knowledge in distributed systems E - Proficient in programming languages: Python E Experience with ML/Ops technologies like Azure ML E Self driving and good communication skills P Experience with AI/ML frameworks: Torch, Onnx, Tensorflow E - Experience designing and implementing CICD pipelines for automation. P - Experience designing monitoring dashboards (Grafana or similar) P - Experience with container orchestrators (Kubernetes, Docker Swarm. E - Experience in using collaborative developing tools such as Git, Confluence, Jira, etc.

You are seeking a hands-on backend expert to elevate your FastAPI-based platform to the next level by developing production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. In this role, you will be responsible for various key areas: 1. Core Backend Enhancements: - Building APIs - Strengthening security with OAuth2/JWT, rate-limiting, SecretManager, and enhancing observability through structured logging and tracing - Adding CI/CD, test automation, health checks, and SLO dashboards 2. Awesome UI Interfaces: - Developing UI interfaces using React.js/Next.js, Redact/Context, and various CSS frameworks like Tailwind, MUI, Custom-CSS, and Shadcn 3. LLM & Agentic Services: - Designing micro/mini-services to host and route to platforms such as OpenAI, Anthropic, local HF models, embeddings & RAG pipelines - Implementing autonomous/recursive agents that orchestrate multi-step chains for Tools, Memory, and Planning 4. Model-Inference Infrastructure: - Setting up GPU/CPU inference servers behind an API gateway - Optimizing throughput with techniques like batching, streaming, quantization, and caching using tools like Redis and pgvector 5. NLP & Data Services: - Managing the NLP stack with Transformers for classification, extraction, and embedding generation - Building data pipelines to combine aggregated business metrics with model telemetry for analytics You will be working with a tech stack that includes Python, FastAPI, Starlette, Pydantic, Async SQLAlchemy, Postgres, Docker, Kubernetes, AWS/GCP, Redis, RabbitMQ, Celery, Prometheus, Grafana, OpenTelemetry, and more. Experience in building production Python REST APIs, SQL schema design in Postgres, async patterns & concurrency, UI application development, RAG, LLM/embedding workflows, cloud container orchestration, and CI/CD pipelines is essential for this role. Additionally, experience with streaming protocols, NGINX Ingress, SaaS security hardening, data privacy, event-sourced data models, and other related technologies would be advantageous. This role offers the opportunity to work on evolving products, tackle real challenges, and lead the scaling of AI services while working closely with the founder to shape the future of the platform. If you are looking for meaningful ownership and the chance to solve forward-looking problems, this role could be the right fit for you.,

As a Machine Learning Operation Engineer at Onclusive, your primary focus will be on deploying, scaling, and optimizing backend algorithms, data ingestion pipelines, machine learning services, and data platforms. You will be working with vast amounts of text and analytics data to solve challenging marketing problems using your technical knowledge and Big Data analytics skills. Your role is crucial to the success of Onclusive. Your responsibilities will include designing and building scalable machine learning services and data platforms, utilizing benchmarks and metrics to measure and improve services, managing systems processing tens of millions of jobs per day, researching and implementing cutting-edge algorithms, and collaborating with data scientists and machine learning engineers to implement ML, AI, and NLP techniques for article analysis and attribution. You will also be responsible for deploying, managing, and optimizing inference services on autoscaling fleets with GPUs and specialized inference hardware. To excel in this role, you should have a degree in Computer Science or a related field, along with hands-on experience. A minimum of 2 years of experience in Kubernetes and/or Terraform is required. Proficiency in Python with a solid understanding of Object-Oriented Programming (OOP) principles is essential. You should also have knowledge of containerization (preferably Docker), Infrastructure as Code (IAC) for AWS (preferably Terraform), Version Control Systems (particularly Git and GitHub), and CI/CD practices (preferably GitHub Actions). An understanding of release management, ML principles, and Data Engineering experience (e.g., airflow, dbt, meltano) is highly desired. Exposure to deep learning tech-stacks like Torch/Tensorflow and Transformers will be beneficial. At Onclusive, we offer a competitive salary and benefits along with opportunities for skill development and career growth. We support a hybrid working environment and prioritize employee wellbeing and work-life balance with initiatives such as flexible working arrangements and mental health support. Join our passionate team dedicated to delivering exceptional work and supporting each other's development.,

As a Developer for our team based in Pune, you will be responsible for advancing the capabilities of our AI solutions through the application of predictive models. You should possess a strong background in AI and machine learning, with expertise in software development, mathematics, analytics, and effective communication. The ideal candidate will have a minimum of 2 to 6 years of experience in the field, with a certification in Machine Learning being a desirable asset. Your responsibilities will include algorithm development, computer vision, image segmentation, image processing, 3D modeling, object detection, and the application of various machine learning techniques. To excel in this role, you must have a deep understanding of statistics and proven experience with machine learning algorithms. Proficiency in programming languages such as Python is essential, as well as familiarity with DL frameworks like Tensorflow and Torch. Your scientific expertise and practical knowledge of deep learning will be invaluable assets to our team. Previous experience in deploying machine learning models in a production environment, specifically on AWS or Azure cloud platforms, is highly preferred. Familiarity with the Anaconda Enterprise platform, Kubernetes, and GPU-accelerated deep learning models will be advantageous. If you are passionate about tackling complex analytical challenges and have a keen interest in leveraging AI technologies to solve real-world problems, we invite you to apply for this exciting opportunity.,

Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelors or Master s degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community

We’re looking for a hands-on backend expert who can take our FastAPI-based platform to the next level: production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. WHAT YOU'LL BUILD 1. Core Backend Enhancements Build APIs Harden security (OAuth2/JWT, rate-limiting, SecretManager) and observability (structured logging, tracing) Add CI/CD, test automation, ,health checks and SLO dashboards 2. Awesome UI Interfaces React.js/Next.js, Redact/Context, Tailwind / MUI / Custom-CSS / Shadcn / Axios 3. LLM & Agentic Services Design micro/mini-services that host and route to OpenAI, Anthropic, local HF models, embeddings & RAG pipelines Implement autonomous/recursive agents that orchestrate multi-step chains (Tools, Memory, Planning) 4. Model-Inference Infrastructure Spin up GPU / CPU inference servers behind an API gateway Optimize throughput with batching, streaming, quantization & caching (Redis / pgvector) 5. NLP & Data Services Own the NLP stack: Transformers for classification, extraction, and embedding generation. Build data pipelines that join aggregated business metrics with model telemetry for analytics TECH STACK YOU'LL WORK WITH 1.Fullstack/Backend Infrastructure • Python, 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 full-stack person, then - react.js / next.js / shadcn / tailwind.css / MUI 2.AI / NLP • HuggingFace Transformers, LangChain / Llama-Index, Torch / TensorRT • OpenAI, Anthropic, Azure OpenAI, Cohere APIs • Vector search (Pinecone, Qdrant, PGVector) 3. Tooling • Pytest, GitHub Actions • Terraform / CDK preferred MUST HAVE EXPERIENCE • 3+ yrs building production Python REST APIs (FastAPI, Flask, or Django-REST) • SQL schema design & query optimization in Postgres (CTEs, JSONB) • Deep knowledge of async patterns & concurrency (asyncio, AnyIO, celery) • Crafted awesome UI Applications that integrate with the backend API • Hands-on with RAG, LLM/embedding workflows, prompt-engineering & at least one of “agent-ops” frameworks (LangGraph, CrewAI, AutoGen) • Cloud container orchestration (Any of K8s, ECS, GKE, AKS, etc.) • CI/CD pipelines and infra-as-code NICE-TO-HAVE EXPERIENCE • Streaming protocols (Server-Sent Events, WebSockets, gRPC) • NGINX Ingress / AWS API Gateway • RBAC / multi-tenant SaaS security hardening • Data privacy, PII redaction, secure key vault integrations • Bitemporal or event-sourced data models WHY DOES THIS ROLE MATTER? We’re growing fast. Products are live, but evolving. Challenges are real, and the opportunity to own systems end-to-end is massive. You’ll lead how we scale AI services, work directly with the founder, and shape what the next wave of our platform looks like. If you’re looking for meaningful ownership and a chance to work on hard, forward-looking problems, this role is for you.

Job Description Summary As part of the GE India Multi-modal Loco team, the Jr. Engineer, is responsible for production of high voltage Motor and Alternator. You shall also be responsible for Safety, Quality, Process tryouts and Developments, continual improvement projects, Kaizen, 5S, LEAN principles. You shall be responsible to perform the job per set standards and procedures and to implement the QMS procedures, policies. Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Our Multi-modal Manufacturing Facility (MMF) in Pune plays a crucial role in manufacturing key aerospace components, supporting not only India’s defense and commercial sectors but also global aviation supply chains. Our relationships with Indian suppliers, combined with our world-class local facilities and global reach, continue to shape India’s aerospace ecosystem. Roles & Responsibilities Knowledge of industry safety practices. Ability to read blueprints and recognize drawing and specifications. Ability to use variety of tools and equipment. Responsible for Self-inspection as per the drawing/standard requirements. Responsible for production as per production plan. Ability to learn and work on various digital tools. Ability to use heavy machinery, such as Maini, cranes etc. Must comply to all EHS requirements & actively support EHS programs in the plant. Experience in Coil insertion, electrical connections per winding diagrams, motor assembly and alternator assembly. Braze either by torch, carbon or induction. Responsible for maintaining the quality standards. Handle, measure and mix chemicals in accordance with prescribed methods and operating requirements. Maintaining healthy working atmosphere by 5S tools. Ideal Candidate Experience in Coil insertion, electrical connections per winding diagrams, motor assembly and alternator assembly. Should have experience in Coil manufacturing using automotive machines. Required Qualifications First Class Diploma in Mechanical/Electrical. 2 to 3 Years of Experience in Engineering/Manufacturing industry. Preferred Qualifications Knowledge of 5S, Lean and Six Sigma Methodology. Ability to analyze problems, identify root causes and provide efficient solutions. Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward. Additional Information Relocation Assistance Provided: No

Responsible for fitting and joining, fabricating, and repairing metal and other wieldable material by applying appropriate welding techniques in accordance with specifications and schedules. Weld steel components with welding equipment as specified by layouts, engineering drawings, work orders, or verbal instructions. Sets-up, laying out work using jigs/fixtures or hand layouts to fabricate parts and/or rework installations and sub-assemblies; works with mechanics to assist in the fabrication or welding of multi-component parts; Inspect and correct welds as necessary to meet specifications Carries out tasks/ works assigned by Welding Foreman/ Shift Incharge and complete within the time allotted. Adheres work place safety standards including DGMS, OSHAS, PCB and ISO 14001 guidelines. Cutting Torch Different types welding equipment Drills Grinders Hand and Power Tools Manual/Electrical Hoists Safety Gears [PPE] •Completion of tasks assigned by Welding Foreman/ Shift Incharge [P&M]. •Cleaning and Housekeeping Standards followed. •Safety practice at work ensured, including wearing of PPE. •Work discipline and alertness.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, 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 and on , , , and . Inviting applications for the role of Senior Principal Consultant, Data Scientist In this role, we are looking for candidates who have relevant years of experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. 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. 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&rsquos 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%27 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 Collaborate with service line teams to design, implement and manage Gen-AI solution Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI Works closely with service line teams to design, implement, and manage Generative AI solutions 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 Familiarity with Generative AI technologies, Design and Implement GenAI Solutions 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 GenAI Tools Certifications in AI/ML or GenAI Methodology Solutioning & Consulting experience in verticals such as BFSI, CPG, with experience in 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&rsquos 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 GenAI AI/ML Tools Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Certifications in AI/ML or GenAI 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 Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 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 tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Title: Senior developer - Artificial Intelligence & Machine Learning Location: Chennai / Bangalore / Pune (Hybrid model - 2 days working from office) Role Summary We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutionsincluding fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecyclefrom prototyping to deploymentwhile contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Key Responsibilities Model Development & Optimization Fine-tune foundation models (e.g., GPT-4, Llama 3). Implement prompt engineering and basic parameter-efficient tuning (e.g., LoRA). Conduct model evaluation for quality, bias, and hallucination; analyze results and suggest improvements. RAG & Agentic Systems (Exposure, Not Ownership) Assist in building RAG pipelines: Participate in integrating and embedding generation, vector stores (e.g., FAISS, pgvector), and retrieval/ranking components. Work with multi-agent frameworks (e.g., LangChain, Crew AI) Production Engineering / MLOps Contribute to CI/CD pipelines for model training and deployment (e.g., GitHub Actions, SageMaker Pipelines). Help automate monitoring for latency, drift, and cost; assist in lineage tracking (e.g., MLflow). Containerize services with Docker and assist in orchestration (e.g., Kubernetes/EKS/GKE) Data & Feature Engineering Build and maintain data pipelines for collection, cleansing, and feature generation (e.g., Airflow, Spark). Implement basic data versioning and assist with synthetic data generation as needed Code Quality & Collaboration Participate in design and code reviews. Contribute to testing (unit, integration, guardrail/hallucination tests) and documentation. Share knowledge through sample notebooks and internal sessions Security, Compliance, Performance Follow secure coding and Responsible AI guidelines. Assist in optimizing inference throughput and cost (e.g., quantization, batching) under guidance. Ensure SLAs are met and contribute to system auditability Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) MLOps Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails Qualifications: 1012 years of experience in software engineering/data science, with 4+ years leading AI/ML projects end-to-end. Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field. Certifications preferred: AWS Certified Machine Learning / Google Professional Machine Learning Engineer / Azure AI Engineer Associate and Kubernetes CKA/CKAD. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Soft Skills & Leadership Attributes Influential communication: Translate complex ML concepts for non-technical stakeholders; strong presentation & storytelling. Mentorship mindset: Coach, upskill, and inspire cross-functional teams; foster psychological safety. Ownership & bias for action: Deliver POCs, iterate based on feedback, drive solutions to production. Critical thinking & experimentation: Data-driven decision making, hypothesis testing, A/B experimentation. Adaptability: Stay current with rapid advances in GenAI, tooling, and research; evaluate emerging models/services.

Responsibilities specifically for: Shearing Machine Plasma Cutting Machine Laser Cutting Machine Press Shop (63 Ton to 500 Ton – Hydraulic & Power Press) Overall Responsibilities 1. Production Planning & Scheduling Plan daily/weekly/monthly production targets for all machines. Allocate manpower and machines based on priority and capacity. Ensure on-time production and delivery to meet customer requirements. 2. Machine Operations Oversight Supervise operation and performance of shearing, plasma, laser, and press machines. Ensure proper machine settings, tooling, and operation sequences are followed. Minimize machine idle time and improve utilization. 3. Quality Control Ensure production meets dimensional and quality standards. Coordinate with the Quality Department for in-process and final inspections. Implement corrective actions in case of rework or rejection. 4. Manpower Management Manage operators, setters, and helpers. Conduct skill assessments and ensure proper training. Monitor discipline, attendance, and shift handovers. 5. Maintenance Coordination Identify machine breakdowns or abnormalities. Coordinate with maintenance team for preventive and breakdown maintenance. Ensure machine availability and readiness. 6. Process Improvement & Efficiency Implement lean manufacturing, 5S, and Kaizen principles. Reduce scrap, rework, cycle time, and power consumption. Improve throughput and efficiency across all machines. 7. Tooling & Die Management Ensure availability of tools, dies, and consumables. Monitor tool life and coordinate tool regrinding/replacement. Proper storage, labeling, and handling of press tools and cutting nozzles. 8. Production Reporting Maintain production records – output, downtime, rejections, material usage. Submit daily shift reports and production logs to senior management. Use ERP/MIS software for data entry and tracking. Machine-Wise Specific Responsibilities Shearing Machine Ensure correct blade clearance and material alignment. Monitor straightness and edge quality of sheared material. Minimize burrs and wastage. Plasma Cutting Machine Supervise CNC program loading and nesting for optimal sheet usage. Monitor cut quality, dross level, and torch consumables. Maintain gas flow, pressure, and arc consistency. Laser Cutting Machine Oversee laser parameter settings (power, speed, focus). Ensure burr-free, high-precision cutting. Prevent lens/nozzle damage and keep optics clean. Press Shop (63–500 Ton Hydraulic & Power Press) Supervise tool setup, alignment, and safety locking. Monitor stroke speed, tonnage, and press operation. Ensure die protection sensors are functional. Schedule tool trials and first-piece approvals. Compliance & Safety Enforce PPE usage and safe work practices. Conduct regular safety audits and training. Ensure EHS (Environment, Health & Safety) compliance. Mail Id: personnel@knitvelneedles.com Phone No: 99429 76468 Job Type: Full-time Pay: ₹60,000.00 - ₹70,000.00 per month Benefits: Food provided Health insurance Life insurance Paid sick time Provident Fund Ability to commute/relocate: Hosur, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Education: Bachelor's (Required) Experience: Production management: 10 years (Required) Location: Hosur, Tamil Nadu (Required) Work Location: In person

Responsibilities specifically for: Shearing Machine Plasma Cutting Machine Laser Cutting Machine Press Shop (63 Ton to 500 Ton – Hydraulic & Power Press) Overall Responsibilities 1. Production Planning & Scheduling Plan daily/weekly/monthly production targets for all machines. Allocate manpower and machines based on priority and capacity. Ensure on-time production and delivery to meet customer requirements. 2. Machine Operations Oversight Supervise operation and performance of shearing, plasma, laser, and press machines. Ensure proper machine settings, tooling, and operation sequences are followed. Minimize machine idle time and improve utilization. 3. Quality Control Ensure production meets dimensional and quality standards. Coordinate with the Quality Department for in-process and final inspections. Implement corrective actions in case of rework or rejection. 4. Manpower Management Manage operators, setters, and helpers. Conduct skill assessments and ensure proper training. Monitor discipline, attendance, and shift handovers. 5. Maintenance Coordination Identify machine breakdowns or abnormalities. Coordinate with maintenance team for preventive and breakdown maintenance. Ensure machine availability and readiness. 6. Process Improvement & Efficiency Implement lean manufacturing, 5S, and Kaizen principles. Reduce scrap, rework, cycle time, and power consumption. Improve throughput and efficiency across all machines. 7. Tooling & Die Management Ensure availability of tools, dies, and consumables. Monitor tool life and coordinate tool regrinding/replacement. Proper storage, labeling, and handling of press tools and cutting nozzles. 8. Production Reporting Maintain production records – output, downtime, rejections, material usage. Submit daily shift reports and production logs to senior management. Use ERP/MIS software for data entry and tracking. Machine-Wise Specific Responsibilities Shearing Machine Ensure correct blade clearance and material alignment. Monitor straightness and edge quality of sheared material. Minimize burrs and wastage. Plasma Cutting Machine Supervise CNC program loading and nesting for optimal sheet usage. Monitor cut quality, dross level, and torch consumables. Maintain gas flow, pressure, and arc consistency. Laser Cutting Machine Oversee laser parameter settings (power, speed, focus). Ensure burr-free, high-precision cutting. Prevent lens/nozzle damage and keep optics clean. Press Shop (63–500 Ton Hydraulic & Power Press) Supervise tool setup, alignment, and safety locking. Monitor stroke speed, tonnage, and press operation. Ensure die protection sensors are functional. Schedule tool trials and first-piece approvals. Compliance & Safety Enforce PPE usage and safe work practices. Conduct regular safety audits and training. Ensure EHS (Environment, Health & Safety) compliance. Mail Id: personnel@knitvelneedles.com Phone No: 99429 76468 Job Type: Full-time Pay: ₹60,000.00 - ₹70,000.00 per month Benefits: Food provided Health insurance Life insurance Paid sick time Provident Fund Ability to commute/relocate: Hosur, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Education: Bachelor's (Required) Experience: Production management: 10 years (Required) Location: Hosur, Tamil Nadu (Required) Work Location: In person

*Responsible for designing, cutting, and permanently joining metal parts together through the application of appropriate welding techniques. *Entails fusing metal materials together using high heat equipment and welding processes such as MIG, TIG, and electric arc welding. *Work with a range of materials and equipment in fitting and assembling metal components to form structures. *Operate hand-welding and flame-cutting equipment such as oxyacetylene torch, electric arc machine, and robotic welding cells. *Also handle metal materials such as steel, iron and titanium, as well as composite materials such as plastics. *In performing their duties, welders read blueprints and drawings to identify welding measurements and position. *Their role also involves conducting assessments to determine appropriate welding methods and equipment.

Job Title: Senior developer - Artificial Intelligence & Machine Learning Location: Chennai / Bangalore / Pune (Hybrid model - 2 days working from office) Role Summary We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutionsincluding fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecycle—from prototyping to deployment—while contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Key Responsibilities Model Development & Optimization Fine-tune foundation models (e.g., GPT-4, Llama 3). Implement prompt engineering and basic parameter-efficient tuning (e.g., LoRA). Conduct model evaluation for quality, bias, and hallucination; analyze results and suggest improvements. RAG & Agentic Systems (Exposure, Not Ownership) Assist in building RAG pipelines: Participate in integrating and embedding generation, vector stores (e.g., FAISS, pgvector), and retrieval/ranking components. Work with multi-agent frameworks (e.g., LangChain, Crew AI) Production Engineering / MLOps Contribute to CI/CD pipelines for model training and deployment (e.g., GitHub Actions, SageMaker Pipelines). Help automate monitoring for latency, drift, and cost; assist in lineage tracking (e.g., MLflow). Containerize services with Docker and assist in orchestration (e.g., Kubernetes/EKS/GKE) Data & Feature Engineering Build and maintain data pipelines for collection, cleansing, and feature generation (e.g., Airflow, Spark). Implement basic data versioning and assist with synthetic data generation as needed Code Quality & Collaboration Participate in design and code reviews. Contribute to testing (unit, integration, guardrail/hallucination tests) and documentation. Share knowledge through sample notebooks and internal sessions Security, Compliance, Performance Follow secure coding and Responsible AI guidelines. Assist in optimizing inference throughput and cost (e.g., quantization, batching) under guidance. Ensure SLAs are met and contribute to system auditability Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) MLOps Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails Qualifications 7–10years total software/ML engineering experience, including 3+years delivering ML models or GenAI systems to production. Proven track record building and optimising RAG or LLMpowered applications at scale Proficiency in Python and ML frameworks (PyTorch, TensorFlow) and in cloudnative deployment (AWS/GCP/Azure). Handson experience with vector databases, embeddings, and prompt engineering. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Experience with multiagent frameworks (CrewAI, AutoGen, LangGraph). Certifications such as AWS CertifiedMachineLearning Specialty / AzureAIEngineer / GoogleProfessionalMachineLearningEngineer. Bachelor’s degree in Computer Science, Data Science, Engineering or related discipline (Master’s preferred). Soft Skills & Leadership Attributes Ownership mindset: drives features from design through deployment and monitoring. Clear communicator: explains technical tradeoffs to stakeholders, writes concise docs, and updates project artefacts. Collaboration & mentorship: pairs with junior ngineers, shares knowledge in brownbag sessions, gives constructive PR feedback. Continuous learning: tracks latest GenAI research, evaluates new tooling, and proposes incremental improvements.

Position Summary... What you'll do... Our Team International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart’s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. Your Opportunity As an Senior Data Scientist for Walmart Global Tech, you’ll have the opportunity to Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Communicate recommendations to business partners and influencing future plans based on insights What You Will Do Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from petabytes of data Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead small teams and participate in data science project teams by serving as the technical lead for project Partner with senior team members to assess customer needs and define business questions Clearly articulate and present recommendations to business partners, and influence future plans based on insights Partner and engage with associates in other regions for delivering best services to the customers around the globe Work with customer centric mindset to deliver high quality business driven analytic solution Mentor peers and analysts across the division in analytical best practices Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Our Ideal Candidate You are a technically strong and high performing individual with excellent communication skills, proven analytical skill set and strong customer focus. You stay updated with latest research and technology ideas, and have a passion to utilize innovative ways to solve problems. You are a good story-teller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders. You have industry knowledge of the retail space, with keen interest in keeping up to date on the latest happenings in this space. What You Will Bring Bachelor's with > 7 years of relevant experience OR Masters with > 5 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 3 years of relevant experience Experience in Analyzing the Complex Problems and translate it into data science algorithms Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Lead role mentoring multiple Jr. Analysts on approach and results. Strong Experience in Python, PySpark Google Cloud platform ,Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala) Additional Preferred Qualifications: Domain Knowledge of one or more divisions in Retail Published papers or given talks in leading academic and research journals Published papers or given talks in Data Science Forums Hold data science related patents Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark Experience in deep learning and worked in TensorFlow and Torch Experience with GPU/CUDA for computational efficiency About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2218103

We're Hiring: Agentic AI Developer Location: Kolkata, India Type: Full-time | Experience: 2–5 years | Immediate Joiners Preferred Join our mission-driven team to build cutting-edge Agentic AI systems that power intelligent automation. If you're passionate about AI agents, auto workflows, and real-world deployment—this is for you. What You'll Work On: Design and develop agentic AI systems using LangChain, CrewAI, and similar frameworks Build ML/NLP pipelines with PyTorch, TensorFlow, Hugging Face Transformers Integrate AI agents with tools and APIs to enable autonomous workflows (e.g., n8n, Make, ComfyUI) Architect and manage data layers using MongoDB, PostgreSQL, and Vector DBs like Pinecone or Weaviate Implement Retrieval-Augmented Generation (RAG) systems and apply advanced techniques like PEFT, LoRA/qLoRA Optimize AI performance and deploy models on MCP servers, Azure Foundry, or custom GPU setups Must-Have Skills: Strong programming in Python (NumPy, Torch, Scikit-learn, Transformers) Experience with 4–5 real AI/ML projects in production or near-production stage Hands-on with LangChain, CrewAI, or similar agentic AI stacks Understanding of prompt engineering and tool orchestration Experience integrating APIs, custom tools, and automation layers Familiarity with RAG pipelines, Vector Stores, and embedding techniques Bonus Points: Experience with Auto Workflow engines (n8n, Make, ComfyUI) Knowledge of PEFT, LoRA, qLoRA, Hugging Face Spaces, and Model Optimization Experience with containerized AI apps (Docker, FastAPI) Comfortable working with multi-agent workflows and memory-driven systems Why Work With Us: Build real-world AI agents with global utility and high-impact use cases Work with a passionate, fast-paced team at the frontier of AI automation Exposure to bleeding-edge tools, infra, and deployment strategies Flexible work culture with ownership, recognition, and growth Apply now with your resume, GitHub/portfolio, and sample agent projects (if any). Let’s build the next generation of AI together.