6193 Tensorflow Jobs - Page 26

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title: AI Solutioning Architect – Healthcare IT Role Summary The AI Solutioning Architect leads the design and implementation of AI-driven solutions across the organization, ensuring alignment with business goals and healthcare IT standards. This role defines the AI/ML architecture, guides technical execution, and fosters innovation using platforms like Google Cloud (GCP). Key Responsibilities Architect scalable AI solutions from data ingestion to deployment. Align AI initiatives with business objectives and regulatory requirements (HIPAA). Collaborate with cross-functional teams to deliver AI projects. Lead POCs, evaluate AI tools/platforms, and promote GCP adoption. Mentor technical teams and ensure best practices in MLOps. Communicate complex concepts to diverse stakeholders. Qualifications Bachelor’s/Master’s in Computer Science or related field. 12+ years in software development/architecture with strong AI/ML focus. Experience in healthcare IT and compliance (HIPAA). Proficient in Python/Java and ML frameworks (TensorFlow, PyTorch). Hands-on with GCP (preferred) or other cloud platforms. Strong leadership, problem-solving, and communication skills. Skills:- Generative AI, Python, TensorFlow, Google Cloud Platform (GCP) and POC

Job Title: Data Scientist Job Description : We are seeking Data Scientist for our team in Bangalore. As a Data Scientist your responsibility will be to build & deploy end-to-end Data Science and AI/ML solutions. Must Have Technical Skills : Data Science & ML Model Development : Design, develop, and deploy Machine Learning , AI and statistical models using Python, PyTorch, R and TensorFlow. AI & Gen AI Use Cases : Working knowledge of Generative AI and Large Language Model (LLM) technologies on public cloud platforms, utilizing RAG patterns Data Exploration & Feature Engineering : Conduct exploratory data analysis and prepare datasets using advanced feature engineering techniques. End-to-End ML Pipeline Implementation : Collaborate with engineering teams to develop scalable ML pipelines and workflows. Cloud & Platform Integration : Used cloud-native services on AWS like TensorFlow, Bedrock etc along with Dataiku/Databricks/Snowflake, will be added advantage. Model Evaluation & Optimization : Evaluate model performance using appropriate metrics and continuously optimize them. Stakeholder Collaboration : Translate business problems into data science use cases and present insights to technical and non-technical stakeholders. Working Knowledge : Good to have an experience of AIML platforms like Dataiku/ Databricks/Snowflake and Cloude services like AWS/Azure/GCP. Responsibilities Responsible for the design, development, and maintenance of applications and systems, as well as managing the technical infrastructure in the production environment. Develop and implement advanced machine learning and deep learning models to automate and transform business processes. Create and apply data science models to generate strategic insights, build predictive models, and deploy solutions that align with current industry standards. Leverage generative AI models to create synthetic financial data, simulate market scenarios, generate investment ideas, automate post-trade processes, and enhance interactions with stakeholders. Work closely with both technical and business teams to solve complex challenges and perform client demos. Experience Level : 3 to 5 years in Data Science, AI/ML project implementation. Educational Background : Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Good To Have: Understanding of CI/CD tools for ML model deployment. Understanding of data governance, data security, and compliance frameworks. Knowledge of visualization tools like Power BI, Tableau, or Plotly.

Primary Skills: Semantic Kernel and Azure AI AgentExp min 9 month of real project experience Semantic Kernel experiencefocuses on building intelligent agents and applications by leveraging the Semantic Kernel SDK, which is an open-source framework from Microsoft that allows for the integration of AI models and services. Secondary Skills: This role involves designing and developing AI solutions, including copilots, and integrating them with enterprise data and systems using tools like Azure OpenAI, Azure AI Search

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role In this role you will play a key role in We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Your Profile Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objective Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills And Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 2+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Skills:- Artificial Intelligence (AI) and Machine Learning (ML)

Nurturebox is on a mission to redefine lead generation for the staffing industry with AI-powered precision and insights. We’re seeking a talented AI Scientist to join us in building a next-gen platform that goes far beyond basic lead gen – we’re building an intelligent system designed to deliver warm, qualified leads and actionable buyer insights on demand. This role is not about plugging into a pre-existing AI stack. You’ll be our first AI hire, bringing your expertise to a ‘plain white canvas’ where you’ll architect and implement our entire AI framework from scratch. Our focus isn’t just on automation but on crafting a solution that actively adapts to industry nuances, incorporating intent data, job listings, and hundreds of signals to zero in on ideal prospects. Our recruitment product has already gained significant traction, and with you on board, we’re ready to level up to Nurturebox 2.0, pushing the boundaries of personalized, data-driven prospecting. You’ll work alongside our founding team in a flat hierarchy, so there’s zero red tape—just an open runway for innovation. If you’re passionate about tackling complex problems and crave a role where you can directly shape the future of recruiting tech, Nurturebox is where you’ll make your mark. This is a chance to build a transformative platform from the ground up, with end-to-end ownership and the freedom to create AI-driven solutions that solve real-world staffing challenges. If you’re ready to redefine what’s possible in lead generation, we’d love to meet you. Why We’re Building This? By 2030, AI agents/teammates will be embedded in every department of every major enterprise. Engineers, PMs, sales reps—all will work alongside AI "colleagues" that do more than assist; they learn, adapt, and execute autonomously. Imagine hiring AI to do the job, not just assist with it. At Nurturebox, we’re building that vision specifically for the staffing industry. We know this space inside and out, and we’re crafting a true AI teammate product, not a glorified chatbot or simple co-pilot. This AI is the product—a powerful, adaptive system built to tackle staffing’s unique challenges. This is a role to architect something truly groundbreaking from scratch: to create an AI teammate that not only integrates seamlessly but transforms how the staffing industry operates. If you're ready to redefine what AI can do in a business-critical environment, let’s talk about how you could lead the charge with us. About Ideas2IT (Parent Company) Ideas2IT is a high-end product development firm growing fast with prestigious logos like Facebook, Bloomberg, Roche, Medtronic, and many exciting SAAS startups. We have a proven track record of successfully launching 5 startups in the last 6 years. All of them are venture-funded by top-tier firms and have great traction. Pipecandy - eCommerce AI. Successfully exited Element5 - Healthcare AI. $50M in funding from Insight venture partners Carefi.in - Healthcare Fintech. Funded by Sequoia IdeaRx - Funded by the second-largest eye care chain in the world NurtureBox - Recruitment AI and automation In This Role, You Will Conduct deep research on the foundations and capabilities of LLMs. Design and implement innovative research projects to explore the application of LLMs for code understanding and generation. Develop and evaluate novel techniques for LLM fine-tuning and adaptation to the specific needs Collaborate with engineers and other scientists to integrate LLM solutions seamlessly into the Nurturebox platform. Stay up-to-date on the latest advancements in LLM research and present findings at conferences and within the company. Build a RAG-based solution and leverage Vector DB, Graph DB, chunking, ranking, indexing, semantic search, etc. You Are The Ideal Candidate If You Have Strong foundation skills in AI/ML systems Hands-on experience of working with LLMs Proven experience conducting deep research on LLMs, with a strong understanding of their architecture, training methods, and capabilities. Expertise in natural language processing (NLP) techniques, including text representation, machine translation, and text summarization. A solid foundation in machine learning fundamentals, including deep learning architectures and optimization algorithms. Excellent programming skills in Python, with experience using popular deep learning libraries (e.g., TensorFlow, PyTorch). Excellent communication and collaboration skills, with the ability to effectively present complex technical concepts to technical and non-technical audiences. A passion for innovation and a desire to push the boundaries of what's possible with LLMs. Knowledge of LLM evaluation methodologies Bonus Points For Experience working with LLM for codebase Experience in building and deploying real-world LLM applications. Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP). A strong publication record in top AI and NLP conferences and journals. At Nurturebox, you'll join a team of passionate individuals working on the cutting edge of AI. We offer a collaborative and stimulating work environment, competitive compensation and benefits, and the opportunity to impact the future of Agentic AI. If you're ready to take your LLM expertise to the next level and help us revolutionize Agentic AI transformation, we encourage you to apply! Skills:- Large Language Models (LLM), Large Language Models (LLM) tuning, Retrieval Augmented Generation (RAG) and Artificial Intelligence (AI)

Company Overview At Codvo, software and people transformations go hand-in-hand. We are a global empathyled technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. Required Skills (Technical) Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera’s, Pytorch. Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Building complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team. Familiarity with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases). Knowledge of REST APIs and Web Services Experience with Python, R, sh/bash Required Skills (Non-Technical) Fluent in English Communication (Spoken and verbal) Should be a team player Should have a learning aptitude Detail-oriented, analytically. Extremely organized with strong time-management skills Problem Solving & Critical Thinking Skills:- Natural Language Processing (NLP), Computer Vision and recommendation algorithm

Job Role: As a Senior Data Scientist, you will be responsible for designing, developing and productionizing of ML-driven solutions to business problems. You will work closely with local and onshore team of data scientists and stakeholders to understand their needs and pain points, and then translate those into actionable data science projects. Your primary focus will be statistical data analyses and helping build high-quality predictive models integrated with our products. The ideal candidate is an experienced data wrangler with a deep understanding of data science principles and a proven track record of delivering ML-driven solutions. S/he will effectively communicate complex technical concepts to technical and non-technical audiences. Key Responsibilities: Plan, productionize, and document scalable Data Science solutions Understand the business problem from stakeholders and convert it to actionable tasks Driven to create in-depth Exploratory Data Analysis and Feature Engineering; experienced with ML Ops Adept at standard and latest ML algorithms and Model explainability. Knowledge about causal inference is a great to-have Help mentor and guide Data Scientists Qualifications - Internal Key Requirements: Experience : At least 8 years of relevant experience Education: Bachelors or masters degree in computer science or mathematics, Statistics or a related field. PhD with lesser experience is welcome. Required Skills: Proficient in ML models across supervised and unsupervised learning, along with knowledge of Deep Learning models using TensorFlow / PyTorch Experienced in Natural Language Processing with focus on Transformer models Experienced in using Generative AI. At least one project implementation is expected Knowledge in MLOps is recommended Extensive coding experience in Python (and R) as well as scripting in SQL Visualization of outputs, using Tableau/ Power BI/ Streamlit, along with crisp communication Strong ability to assess the business problem and suggest applicable data science solutions Great at presenting and explaining model results to any kind of audience Personal Attributes: Ability to adapt and work with a distributed team Ability to manage multiple initiatives Ability to work with ambiguous requirements, seek clarity and manage risks. Ability to communicate complex concepts in a simple yet intelligent way

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing systems and processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Description We are looking f or a Data Scienti st-II to join our Data Science & Analytics (DSA) Team. You will get to work with other data scientists, analysts, data engineers, PMs and business teams on some of the toughest and most interesting problems in our industry. Our work spans across areas of inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. The role will involve understanding business problems, designing relevant ML solutions, building & deploying new models, maintaining & enhancing existing models, and automating performance measurement of the same. We are looking for someone who is excited to work in a fast-growing industry, has a spirit of ownership & collaboration, and loves seeing the impact of what they have built at scale! What our team owns At Rebel, the Data Science & Analytics team builds and maintains all ML models, rule-based intelligence, automated reports and dashboards used by the organization. We are on a mission to drive business impact via ML and Data Science and grow adoption of these areas at Rebel. We also want to enable the organization to better understand and effectively use ML and DS. We interact with teams across every business area such as Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning and many more. We are never short of interesting challenges and we balance delivering continuous impact and great CX, while building strong foundations to drive sustainable ML returns overtime. Specific Qualifications Strong working knowledge of a variety of machine learning techniques (Regression, Classification,Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models etc.) Proficient in Python, SQL, and machine learning libraries (e.g., TensorFlow, scikit-learn). Experience in working with varied data types (structured and unstructured) and databases Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Good-to-have Experience solving NLP-based problems or working with LLMs / prompt engineering Working with non-tech stakeholders and explaining ML performance in simple language A love of food (Yes, we have regular tasting sessions at office!)

Lead AI initiatives by building expert teams, defining standards, and delivering end-to-end solutions—from data pipelines to production ML. Skilled in Python, MLOps, cloud platforms, and real-time systems. Mail:kowsalya.k@srsinfoway.com

3yrs exp in machine learning, AI eng, or related role Strong prog skills in Python,&exp with ML framwks,TensorFlow, PyTorch, or Scikit-learn Data science tool-NumPy, Pandas,& Jupiter Data structure, data modeling. STARTUP company EXP WILL BE +

Designation- Data Science/Machine Learning Instructor BU- Working Professional Location- Mumbai- Andheri (Hybrid) Salary upto- 10LPA- 12LPA Weekoffs - Wednesday & Thursday or Thursday & Friday. Key Responsibilities: Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions. Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services. Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. Requirements: 3+ years of industry or academic experience in DS/ML or AI. Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). Excellent presentation and mentoring skills in live and small-group settings. Prior teaching or edtech experience is a strong plus.

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Hybrid Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC is looking for a talented Java Product Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Contribute to be a member of the Development team responsible for developing and debugging of software products. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Work across product lines with interaction of other BMC products Independently design and implement features that address customer needs with a sense of ownership within given timelines As every BMC employee, you will be given the opportunity to learn, be included in global projects, challenge yourself and be the innovator when it comes to solving everyday problems. To ensure you’re set up for success, you will bring the following skillset & experience: Design and develop platform solution based on best practices and web standards. Participate in all aspects of product development, from requirements analysis to product release. Lead features and participate in architecture and design reviews. Design enterprise platform using agile methodology. This includes creating detailed design using UML, process flows, sequence diagrams, and pseudo-code level details ensuring solution alignment. You have strong diagnostics, debugging, and troubleshooting skills. Ability to work flexible hours and stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations. Provides complete documentation in the form of commented code, problem status information, and design documents. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. To ensure you’re set up for success, you will bring the following skillset & experience : You have 8+ years of experience with application development using Python, Java, RESTful services, high-performance, and multi-threading. Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. You have experience in a Web based environment utilizing React, Angular, server-side rendering, HTML, CSS, JavaScript and TypeScript. You have knowledge and experience with build tools such as Gradle and Maven. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). You are familiar with modern version control system such as Git. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of SQL for data manipulation Great communication skills, ability to explain predictive analytics to non-technical audience. Proficiency in data exploration techniques and tools Skills Whilst these are nice to have, our team can help you develop in the following skills which are good to have : CI/CD (Jenkins) environment with popular DevOps tools Experience with Agile methodology, use of Atlassian products Jira, Confluence ) CA-DNP Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 3,380,000 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply.

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Hybrid Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. To ensure you’re set up for success, you will bring the following skillset & experience: Design and develop platform solution based on best practices and web standards. Participate in all aspects of product development, from requirements analysis to product release. Lead features and participate in architecture and design reviews. Design enterprise platform using agile methodology. This includes creating detailed design using UML, process flows, sequence diagrams, and pseudo-code level details ensuring solution alignment. You have strong diagnostics, debugging, and troubleshooting skills. Ability to work flexible hours and stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations. Provides complete documentation in the form of commented code, problem status information, and design documents. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8+ years of experience with application development using Python, Java, RESTful services, high-performance, and multi-threading. Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. You have experience in a Web based environment utilizing React, Angular, server-side rendering, HTML, CSS, JavaScript and TypeScript. You have knowledge and experience with build tools such as Gradle and Maven. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). You are familiar with modern version control system such as Git. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of SQL for data manipulation Great communication skills, ability to explain predictive analytics to non-technical audience. Proficiency in data exploration techniques and tools Familiarity with observability tools and practices. You have knowledge of design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation and performance at scale. Whilst these are nice to have, our team can help you develop in the following skills: Experience with Agile methodology, use of Atlassian products Jira, Confluence) CI/CD (Jenkins) environment with popular DevOps tools CA-DNP Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 3,380,000 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply.

Experience : 4 + years Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote ,New Delhi,Bengaluru,Mumbai Must have skills required: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Our engineers dont just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges this role is for you. Youll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What Youll Do Build and own AI-backed features end to end, from ideation to production including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations from custom masks and color space conversions to geometric warps and contour ops with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague youll help define what good looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs you own your domain What Youll Need 2-3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1-2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration model loading, GPU/CPU optimization, async inference, caching, and batch processing. A customer-centric approach you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables you write clean, tested code and debug edge cases until theyre truly fixed The ability to frame problems from scratch and work without strict handoffs you build from a goal, not a ticket Who You Are Youve built systems not just prototypes You care about both ML results and the systems behavior in production Youre comfortable taking a rough business goal and shaping the technical path to get there Youre energized by product-focused AI work things that users feel and rely on Youve worked in or want to work in a startup-grade environment: messy, fast, and impactful

Gatisofttech is offering a golden opportunity for postgraduate students specializing in Artificial Intelligence and Machine Learning to gain hands-on industry experience through a well-structured internship program. As an intern, you will collaborate with our core development and innovation team to work on real-world projects involving AI, ML, and data-driven solutions. Key Responsibilities Work on machine learning model development , testing, and evaluation. Assist in data collection, preprocessing , and feature engineering . Apply statistical techniques and machine learning algorithms to solve business problems. Collaborate with software engineers to integrate AI models into web/mobile applications. Support in building automated tools , chatbots, and predictive analytics. Participate in team discussions, RD activities, and documentation of findings. Who Can Apply Postgraduate students (MSc/MTech/MCA/ME) in their final semester, pursuing specialization in AI/ML, Data Science, or Computer Science . Strong understanding of machine learning algorithms , Python , and libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch . Familiarity with data visualization , statistics , and model evaluation metrics . Knowledge of SQL/MySQL and basic web technologies is a plus. Good communication skills and a willingness to learn and explore real-world AI applications. What You'll Gain Opportunity to work on industry-grade projects and AI solutions. Exposure to real-time challenges , datasets, and deployment strategies. Mentorship from experienced developers and project leads. Certificate of completion and possible job offer based on performance. A collaborative and supportive work environment to grow your skills. Why Gatisofttech Work with an innovation-driven team . Friendly work culture and career-building exposure . Festival celebrations, outings , and other activities. Convenient work location in Nanpura, Surat .

University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Masters or Doctoral degree • 5+ of experience in applying AI, machine learning and/or data science in business and/or academia. Strong knowledge of at least one programming language (e.g., Python, JavaScript) and relevant data science or engineering framework (e.g., scikit-learn, TensorFlow, Spark, etc.). Experience in developing high-quality, production-grade software. Ideally, practical experience in finance and banking • Comfortable working with and managing uncertainty and ambiguity • Excellent oral and written Role & responsibilities Candidates who are in Pune currently and willing to work in Pune are most welcome.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred Education Master's Degree Required Technical And Professional Expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred Technical And Professional Experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Expected Notice Period : 15 Days Shift : (GMT+01:00) Europe/London (BST) Opportunity Type : Remote Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - UK's Leading AgriTech Company) What do you need for this opportunity? Must have skills required: AgriTech Industry, Large Language Models, Nvidia Jetson, Raspberry Pi, Blender, Computer Vision, OpenCV, Python, Pytorch/tensorflow, Segmentation, Extraction, Regression UK's Leading AgriTech Company is Looking for: Location: Remote Type: 6 months contract Experience Level : 35 Years Industry: Agritech | Sustainability | AI for Renewables About Us We're an AI-first company transforming the renewable and sustainable agriculture space. Our mission is to harness advanced computer vision and machine learning to enable smart, data-driven decisions in the livestock and agricultural ecosystem. We focus on practical applications such as automated weight estimation of cattle , livestock monitoring, and resource optimization to drive a more sustainable food system. Role Overview We are hiring a Computer Vision Engineer to develop intelligent image-based systems for livestock management, focusing on cattle weight estimation from images and video feeds. You will be responsible for building scalable vision pipelines, working with deep learning models, and bringing AI to production in real-world farm settings . Key Responsibilities Design and develop vision-based models to predict cattle weight from 2D/3D images, video, or depth data. Build image acquisition and preprocessing pipelines using multi-angle camera data. Implement classical and deep learning-based feature extraction techniques (e.g., body measurements, volume estimation). Conduct camera calibration, multi-view geometry analysis, and photogrammetry for size inference. Apply deep learning architectures (e.g., CNNs, ResNet, UNet, Mask R-CNN) for object detection, segmentation, and keypoint localization. Build 3D reconstruction pipelines using stereo imaging, depth sensors, or photogrammetry. Optimize and deploy models for edge devices (e.g., NVIDIA Jetson) or cloud environments. Collaborate with data scientists and product teams to analyze livestock datasets, refine prediction models, and validate outputs. Develop tools for automated annotation, model training pipelines, and continuous performance tracking. Required Qualifications & Skills Computer Vision: Object detection, keypoint estimation, semantic/instance segmentation, stereo imaging, and structure-from-motion. Weight Estimation Techniques: Experience in livestock monitoring, body condition scoring, and volumetric analysis from images/videos. Image Processing: Noise reduction, image normalization, contour extraction, 3D reconstruction, and camera calibration. Data Analysis & Modeling: Statistical modeling, regression techniques, and feature engineering for biological data. Technical Stack Programming Languages: Python (mandatory) Libraries & Frameworks: OpenCV, PyTorch, TensorFlow, Keras, scikit-learn 3D Processing: Open3D, PCL (Point Cloud Library), Blender (optional) Data Handling: NumPy, Pandas, DVC Annotation Tools: LabelImg, CVAT, Roboflow Cloud & DevOps: AWS/GCP, Docker, Git, CI/CD pipelines Deployment Tools: ONNX, TensorRT, FastAPI, Flask (for model serving) Preferred Qualifications Prior experience working in agritech, animal husbandry, or precision livestock farming. Familiarity with Large Language Models (LLMs) and integrating vision + language models for domain-specific insights. Knowledge of edge computing for on-farm device deployment (e.g., NVIDIA Jetson, Raspberry Pi). Contributions to open-source computer vision projects or relevant publications in CVPR, ECCV, or similar conferences. Soft Skills Strong problem-solving and critical thinking skills Clear communication and documentation practices Ability to work independently and collaborate in a remote, cross-functional team Why Join Us? Work at the intersection of AI and sustainability Be part of a dynamic and mission-driven team Opportunity to lead innovation in an emerging field of agritech Flexible remote work environment