9723 Tensorflow Jobs - Page 25

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters We are seeking a highly experienced Computer Vision Architect with deep expertise in Python to design and lead the development of cutting-edge vision-based systems. The ideal candidate will architect scalable solutions that leverage advanced image and video processing, deep learning, and real-time inference. You will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms. Key Responsibilities: Architect and design end-to-end computer vision solutions for real-world applications (e.g., object detection, tracking, OCR, facial recognition, scene understanding, etc.) Lead R&D initiatives and prototype development using modern CV frameworks(OpenCV, PyTorch, TensorFlow, etc.) Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems Define architecture standards and best practices for Python-based CV pipelines Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions Stay updated with the latest advancements in computer vision, deep learning, and AI Mentor junior developers and contribute to code reviews, design discussions, and technical documentation Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (PhD is a plus) 8+ years of software development experience, with 5+ years in computer vision and deep learning Proficient in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes) Experience working with video analytics, image annotation tools, and large-scale dataset pipelines Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services(AWS SageMaker, Azure ML, GCP AI) Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. Job Description We are seeking an experienced Staff Software Engineer (AI). In this role, you will be part of the Pathfinding Studio within the Innovation Office. The team is exploring AI/machine learning techniques for various domain-specific problems related to engineering and robotics. Responsibilities This role requires you to research and develop AI/machine learning models. You will train, fine-tune, or perform in-context learning to develop state-of-the-art AI/machine learning-based models. Activities will involve the identification and preparation of data sets, maintenance of data sets, identifying, using, and developing appropriate model architecture, and delivering the model along with model usage documentation and examples. Additionally, you will work on developing AI models targeting robotics utilizing relevant virtual modeling frameworks. Minimum Qualifications Experience with multimodal machine learning model development based on structured and unstructured data targeting robotics. Experience with the end-to-end deep learning development life cycle. Ability to understand, analyze, test model behavior, and summarize model performance. Ability to work with AI/ML flow in CPU, embedded CPU, and GPU-based infrastructure in Windows and Linux environments. Ability to select and use appropriate models from the open-source environment in memory and compute-constrained infrastructure. Experience in training, fine-tuning, and in-context learning with multi-modal models and datasets using Python/C/C++. Knowledge of traditional and state-of-the-art machine learning techniques related to NLP, Video, Audio, Generative AI, Code understanding, and generation. Experience with virtual model development using IsaacSim and MuJoCo for robotics. Qualifications Education: Master’s degree in computer science, Electrical Engineering, Computer Engineering, or a similar field with 5 years of relevant experience in end-to-end machine learning development or a PhD with 3 years of relevant experience. Preferred Qualifications Hands-on expertise in deep learning model development and tuning. Experience with structured and unstructured data manipulation and management for machine learning pipelines. Experience with virtual and physical modeling environments targeting robotics. Experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.). Experience in using open-source model development (e.g., Huggingface, Langchain, etc.). Experience with data processing and UI frameworks (e.g., Pandas, Plotly, SciPy, Flask, Streamlit, or similar). Ability to understand and explain state-of-the-art AI models. Ability to understand and summarize the hardware and software complexity of various AI models. Knowledge of applying AI algorithms in semiconductor design and verification. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘ To Make Our Lives Easier .’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘ To Make Our Lives Easier .’ At Renesas, You Can Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Job Title: Senior / Lead Data Scientist Locations: Hyderabad Notice Period : Immediate to 15 Days Skills : Data Science, Python, Regression, Classification, Google Cloud Platform Domain : CPG Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine Curious about the role? What your typical day would look like? As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems. Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes. Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly. Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment. Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes. Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models. Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement. What do we expect? 6-10 years of total DS and model development experience A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems Encourage collaboration with various stakeholders and take complete ownership of deliverables. Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations Effective mentoring of a team with expertise in industry/domain/functional areas. You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Role Partner with stakeholders to understand data requirements Developing business intelligence solutions using Agile software development methodologies Develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization and leadership Producing and managing the delivery of activity and value analytics to external stakeholders and clients Team members will typically use business intelligence, data visualization, and query, analytic and statistical software to build solutions, perform analysis and interpret data Work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms Primary Responsibilities Management and manipulation of mostly structured data Creating business intelligence solutions using Agile methodologies to support analysis of data and subsequent decision making Conducting analysis, performing normalization operations and assuring data quality Creating specifications to bring data into a common structure Creating product specifications and reporting models Analytical - Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; design workflows and procedures Establish, refine and integrate development and test environment tools and software as needed Identify production and non-production application issues Provide technical support and consultation on database and infrastructure questions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s Degree in MIS, Statistics, Mathematics, Computer Science, Business or a related field 5+ years of experience in data preparation, data management, data visualization and data analysis 5+ years of experience in DWBI domain and solid understanding of DWBI concepts 5+ years of experience in PowerBI 2+ years of experience in Python 2+ years of experience working on machine learning algorithms and frameworks 2+ years of experience in natural language processing 2+ years of experience in applying AI to practical and comprehensive technology solutions Hands-on experience in DWBI domain Hands-on experience in Python Hands-on experience with dealing global customers to gather requirements and translate them into solutions using the necessary skills Extensive on-the job experience working with relational database management system (like Microsoft SQL Server, Oracle) Experience in writing TSQL statements, stored procedures and views using industry best practices for security and efficiency Experience in creating data reports, dashboards, scorecards and Metrics that matter most with extensive use of PowerBI Experience in performing data analysis and interpreting data/business insights Experience developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership Experience in ETL and hands-on experience in using ETL tools like SSIS Experience and understanding on Database Performance Tuning, Database Management, Requirements Analysis, Software Development Fundamentals Familiar with Software Development Life Cycle Proven excellent Problem Solving, Documentation Skills, Written & Verbal Communication skills Proven excellent Data Maintenance and promoting Process Improvement skills Proven well-developed written and verbal communications and presentation skills Proven to be open for Development and Support Proven ability to write user and technical documentation Proven ability to conduct analysis to ensure quality of data at various stages of its evolution Proven ability to solve complex problems and develop innovative solutions Proven ability to complete projects that require data mining, analysis, and presentation Proven ability to create, test and execute SQL language code Proven ability to work independently with minimum support/mentoring Proven ability to learn new technology Preferred Qualifications Experience in the health care industry Hands-on experience on ETL processes using SSIS, Netezza, Teradata etc. Experience with ML, deep learning, TensorFlow, NLP Experience in Snowflake Experience developing and maintaining data preparation and validation routines to support data mining and creating complex data mining algorithms General This is a high visibility role requiring high energy due to the constant interaction with the customers. It’s good to have a candidate who has the below abilities: Self-driven, ability to work independently and facilitate change Ability to work in a fast-paced, technical, cross-functional environment Excellent Visual design sense regarding clear and accurate presentation of data Ability to work on projects from inception to completion Excellent critical thinking and analytical skills Ability to maintain understanding of numerous client processes Possess excellent time management and prioritization skills in order to meet multiple deadlines Comfortable working in a high-paced/high production area Desire and ability to learn new skills, systems and processes Anticipate customer needs and proactively develop solutions to meet them At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Description We are seeking a talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities Invent, implement, and deploy machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, developing abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About The Team MENA tech is a 200+ people tech organization spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world Basic Qualifications Experience building machine learning models or developing algorithms for business application PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. communication and collaboration skills to effectively work with cross-functional teams. Preferred Qualifications Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3046719

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description About the Role We are seeking a AI Engineer to join our team and play a critical role in the design and develop a cognitive data solution. The broader vision is to develop an AI-based platform that will crawl through unstructured data sources and extract meaningful information. The ideal candidate will possess full-stack development skills along with a strong understanding of database structures, SQL queries, ETL tools and Azure data technologies. Core Responsibilities Lead the design, development, and implementation of AI algorithms and models to enhance payment and CX product offerings. Test agent interactions, document behaviors, and help improve reliability and performance. Assist with agent integration, system testing, and deployment. Develop and deploy AI models (including deep learning models) using TensorFlow, PyTorch, and other ML/DL frameworks. Design and maintain the full AI data pipeline, including data crawling, ETL, and building fact tables. Apply statistical and programming expertise (NumPy, Pandas, etc.) for data analysis and modeling. Optimize AI models for on-premise infrastructure with a focus on performance and security compliance. Stay abreast of the latest trends in AI and contribute to continuous improvements. Mentor junior AI/ML engineers and contribute to documentation and process standardization. Contribute to the broader AI agent ecosystem and cross-functional collaboration. Required Experience Strong Python programming skills and experience with full-stack development. Experience with large language models (LLMs) like ChatGPT, Claude, etc. 6 months to 1 year as AI engineer. Solid understanding of AI/ML concepts including NLP, ML algorithms, deep learning, image/speech recognition. Experience with Azure Data Factory, Databricks/Spark, Synapse/SQL DW, and Data Lake Storage. Familiarity with data pipelines, APIs, data exchange mechanisms, and RDBMS/NoSQL databases. Ability to write clear and thorough documentation. Enthusiasm for emerging AI technologies and open-source collaboration. Nice To Have Experience with agent frameworks (LangChain, AutoGPT, CrewAI, etc.) Basic DevOps knowledge and experience in scalable deployments. Experience with API development and RESTful services. Familiarity with vector databases (e.g., FAISS, ChromaDB, Pinecone, Weaviate). Prior contributions to open-source AI projects or communities. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

Job Summary: This is a critical technical architectural role for an experienced leader who will be instrumental in enhancing our product suite by designing and integrating advanced AI and blockchain capabilities into our existing Java Spring Boot microservice-based payment platform. The ideal candidate will possess a deep, hands-on understanding of all major payment rails, a proven track record in architecting and implementing complex, high-performance financial systems, and an expert-level grasp of AI/Machine Learning and blockchain technologies and their practical applications in FinTech. This individual will be a key driver in shaping the future of our products, ensuring we remain competitive, secure, and innovative in the rapidly evolving payments landscape. Key Responsibilities: AI/Machine Learning Design & Implementation: Lead the design, development, and deployment of sophisticated AI/ML models for critical FinTech applications, including: Implementing real-time, adaptive machine learning models for advanced fraud detection and prevention across diverse payment channels. Utilizing AI for intelligent payment orchestration and routing, optimizing for success rates, cost efficiency, and performance. Developing AI-driven predictive analytics for comprehensive risk management and anomaly detection. Exploring and integrating AI solutions for enhanced customer experience and operational efficiency. Blockchain Solution Architecture: Architect, design, and oversee the implementation of secure, scalable, and high-performance blockchain solutions that enhance existing payment functionalities and enable new services (e.g., cross-border payments, digital asset management, secure data sharing, tokenization). Payment Rail Mastery: Serve as the foremost subject matter expert on all major payment rails (e.g., ACH, Fedwire, RTP, SWIFT, SEPA, faster payments, card networks, emerging digital currencies), understanding their technical intricacies and ensuring seamless, optimized integration within our microservices platform. ISO 20022 & Regulatory Alignment: Collaborate closely with the ISO 20022 middleware team to ensure that all AI and blockchain integrations adhere to evolving ISO MTMX SWIFT mandates and other critical regulatory requirements (e.g., AML, KYC, GDPR). Technical Leadership & Mentorship: Provide strong technical leadership, architectural guidance, and mentorship to development teams, fostering a culture of innovation, technical excellence, and continuous learning in AI, blockchain, and payment technologies. System Design & Optimization: Lead the architectural design and detailed technical specifications for new features and product enhancements within our microservices architecture, with a relentless focus on scalability, security, reliability, performance, and the explainability of AI models. Research & Development: Spearhead research and development initiatives, including hands-on proof-of-concept projects, to explore nascent AI and blockchain technologies and assess their practical applicability to our product roadmap. Data Strategy & Governance: Partner with data engineering and analytics teams to ensure robust data quality, availability, and governance, crucial for effective AI model training, deployment, and ongoing performance, leveraging our diverse data stores. Cross-Functional Collaboration: Work collaboratively with product management, business development, and other engineering teams to translate complex business requirements into elegant, high-impact technical solutions. Industry Vigilance: Continuously monitor industry trends, technological advancements, and regulatory changes across payments, AI, and blockchain. Required Skills and Qualifications: 10+ years of progressive experience in software engineering, solution architecture, or technical leadership roles within the FinTech or payments industry. Deep and demonstrable understanding of various payment rails (e.g., ACH, Fedwire, RTP, SWIFT, SEPA, credit/debit card networks, real-time payments, cross-border payments, ISO 20022) and their underlying technical specifications. Expert-level knowledge and extensive hands-on experience with AI/Machine Learning concepts and frameworks, including: Practical application of machine learning algorithms (supervised, unsupervised, reinforcement learning). Proficiency in Deep Learning and Neural Networks. Experience with Natural Language Processing (NLP) for financial message analysis. Strong familiarity with leading AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Demonstrated experience with MLOps principles and deploying AI models into production environments at scale. Expert-level knowledge and hands-on experience with blockchain technologies and Distributed Ledger Technologies (DLT), including: Practical experience with platforms suchs as Hyperledger Fabric, Corda, Ethereum, or similar enterprise-grade DLTs. Proficiency in smart contract development (e.g., Solidity, Go, Java, Rust). Deep understanding of consensus mechanisms, cryptographic principles, and blockchain security best practices. Familiarity with tokenomics, digital assets, and central bank digital currencies (CBDCs). Proven architectural design skills for building highly scalable, resilient, secure, and performant distributed systems, specifically within a microservices paradigm. Proficiency in multiple core programming languages critical for FinTech, AI, and Blockchain development, with a strong emphasis on: Java: Extensive experience with Spring Boot for enterprise-grade, high-throughput financial systems and backend microservices. Python: Essential for AI/ML development, data science, and backend microservices. Go (Golang): Highly desirable for high-performance, concurrent systems, and blockchain infrastructure components. Solidity/Rust: For direct smart contract development on relevant blockchain platforms. Additional desirable: C++ for performance-critical components. Extensive experience with modern architectural patterns: microservices architecture, robust APIs (REST, gRPC), and event-driven architectures. Strong expertise with database technologies, specifically MongoDB and PostgreSQL, including schema design, optimization, and scaling strategies for high-volume financial data. Hands-on experience with major cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Exceptional problem-solving, analytical, and critical thinking skills. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly and persuasively to both technical and non-technical stakeholders. Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or a related quantitative technical field. Preferred Qualifications: Prior experience in a high-growth FinTech startup or a fast-paced, agile development environment. Active contributions to open-source AI or blockchain projects, or participation in relevant FinTech communities. Experience with big data technologies (e.g., Apache Kafka, Spark). Certifications in cloud architecture, AI/ML, or blockchain platforms.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 30th July 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 30th July 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Roboyo is not a typical technology consultancy We have been at the forefront of Business Process Automation since the sector began, less than a decade ago, We started as pioneers Today, we are the worlds largest specialist Intelligent Automation company and remain at the cutting edge Our growth, success, and contribution to the success of our clients are a result of one thing our people, We are united by our purpose, to take whats possible to the next level for our clients, our business, and for each other, At Roboyo, you will experience a fun and innovative work environment with a dynamic and ambitious team passionate about technology and automation, AI Engineer (Generative AI / Agentic AI) Mid-Level Role Overview: The AI Engineer (Gen AI / Agentic AI) will work on building AI solutions using Generative AI models (like LLMs) and agent-based frameworks The role requires strong Python skills, cloud technology experience (Azure, AWS, GCP), and a hands-on approach to building intelligent applications like chatbots and AI agents The position is hybrid, working on client projects and internal prototypes, Key Responsibilities: Develop AI Solutions: Design and test AI-driven applications using Generative AI models ( e-g , GPT-based systems), Cloud Deployment: Leverage cloud services (Azure, AWS, GCP) to deploy models and AI solutions, ensuring scalability, Collaboration: Work with solution architects and data engineers to align AI solutions with client needs Participate in agile development cycles, Internal Innovation: Contribute to Roboyos internal AI prototypes and knowledge sharing, Required Qualifications: 3-6 years in software development with AI/ML experience, Strong Python skills and familiarity with AI libraries ( e-g , TensorFlow, PyTorch), Experience deploying AI solutions on cloud platforms (Azure, AWS, GCP), Hands-on knowledge of Generative AI models (LLMs, GPT), Good data handling and integration skills, Preferred Qualifications: Exposure to automation platforms (UiPath, Power Platform), Familiarity with web development, APIs, or conversational AI (Rasa, Microsoft Bot Framework), AI certifications are a plus, We are an equal opportunity employer and value diversity at our company We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo global/data-privacy/ Show

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members Primary Skill Set: Microservices LLM, Agentic AI Framework, Predictive modelling

We are looking for MLops Engineer@ Gurgaon Location Job Responsibilities: Design and implement CI/CD pipelines for machine learning workflows. Develop and maintain production-grade ML pipelines using tools like MLflow, Kubeflow, or Airflow. Automate model training, testing, deployment, and monitoring processes. Collaborate with Data Scientists to operationalize ML models, ensuring scalability and performance. Monitor deployed models for drift, degradation, and bias, and trigger retraining as needed. Maintain and improve infrastructure for model versioning, artifact tracking, and reproducibility. Integrate ML solutions with microservices/APIs using FastAPI or Flask. Work on containerized environments using Docker and Kubernetes. Implement logging, monitoring, and alerting for ML systems (e.g., Prometheus, Grafana). Champion best practices in code quality, testing, and documentation. Required Skills: 7+ years of experience in Python development and ML/AI-related engineering roles. Strong experience in ML Ops tools like MLflow, Kubeflow, Airflow, or similar. Deep understanding of Docker, Kubernetes, and container orchestration for ML workflows. Hands-on experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform/CDK). Familiarity with model deployment and serving frameworks (e.g., Seldon, TorchServe, TensorFlow Serving). Good understanding of DevOps practices and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). Experience with data versioning tools (e.g., DVC) and model lifecycle management. Exposure to monitoring tools for ML and infrastructure healt Experience:7-12 Yrs Job Location :Gurgaon Interested candidates can share your CV to mangani.paramanandhan@bounteous.com, i will call you shortly. Please share your CV.

Job Description Summary The MR ACAI team is looking to hire a candidate with an advanced degree with a specialization in Deep Learning and proven credentials to develop applications in a domain of their prior experience, GE HealthCare is a leading global medical technology and digital solutions innovator Our purpose is to create a world where healthcare has no limits Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world, Job Description Roles & Responsibilities Would you like to be part of a team that develops innovative applications for diagnostic MRI We are looking for enthusiastic Masters or PhD students who would like to do their internship in our department focused on MRI Advanced Concepts and Applications Innovations (ACAI), In this position, you will learn more about DL-based application development for medical imaging devices and contribute towards developing innovative technology that focus on image quality, speed and/or efficient workflow, You will get insights into different aspects of the application development process, including requirements engineering, design, implementation, testing and documentation, Our products include complex algorithms for image reconstruction, image processing and analysis which run on specialized compute as well as Linux systems, As part of your daily work, you will also support test environments for verification and validation activities execute manual tests, or create automated tests using scripting languages such as Python, analyze test results and collaborate with experts from various fields (including research, physics, biomedical sciences), The goal of the internship is to gain experience in application development and testing, You should expect to take over responsibility early on in the project(s), This includes requirement analysis, design, coding, testing and reporting progress/results to the supervisor, During the internship we will provide you with several opportunities to present your work Of course, you can also take advantage of these opportunities outside of the internship and give talks at universities or other events, Desired Qualifications Pursuing an advanced degree in computer science or electrical engineering with a strong focus in signal processing and mathematics with a working knowledge of C++, Python and/or Matlab programming languages, Demonstrable knowledge of use of Pytorch &/or TensorFlow A keen interest in medical imaging technologies Good communication skills Good English language skills (written and spoken) Inclusion and Diversity GE Healthcare is an Equal Opportunity Employer where inclusion matters Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law, We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership always with unyielding integrity, Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities Our salary and benefits are everything youd expect from an organization with global strength and scale, and youll be surrounded by career opportunities in a culture that fosters care, collaboration and support Additional Information Relocation Assistance Provided: Yes Show

Our Company Changing the world through digital experiences is what Adobes all about We give everyone?from emerging artists to global brands?everything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen, Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Applied Research Team will work at the fore front of applying cutting-edge technologies in practical and user-centric applications Their primary focus will be on implementing and optimizing generative AI solutions for a range of applications in graphics and design This includes the development of sophisticated image processing techniques and the enhancement of human-computer interaction interfaces using machine learning algorithms They will also be deeply involved in programming with languages like C++ and Python to develop robust, production-level software The team will utilize machine learning frameworks such as TensorFlow and PyTorch, not only for model development but also for converting and deploying these models efficiently in production environments Their work will be vital in transforming theoretical AI advancements into accessible, efficient, and impactful applications, constantly iterating and improving upon them to meet evolving user needs and industry standards, Adobe is proud to be an Equal Employment Opportunity employer We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law Learn more about our vision here, Adobe aims to make Adobe accessible to any and all users If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe or call (408) 536-3015, Show

Job Description Some careers shine brighter than others, If youre looking for a career that will help you stand out, join HSBC and fulfil your potential Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further, HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions, We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems, Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams, In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems, Preprocess and analyze large datasets to extract meaningful insights, Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc) for training and deploying ML models, Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems, Monitor and maintain deployed models to ensure performance and accuracy over time, Research and implement state-of-the-art machine learning techniques and tools, Document processes, experiments, and results for reproducibility and knowledge sharing, Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain e-g Perpetual credit montiroing Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 10 years of software development experience 5+ years of relevant experience in ML technologies mentioned below, Excellent problem-solving and communication skills, Strong experience in Python (3 x), Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes, Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets, Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy, Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures, Excellent interpersonal, presentation and analytical skills, Familiarity with MLOps practices for model deployment and monitoring, Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore Youll achieve more when you join HSBC, hsbc /careers HSBC is committed to building a culture where all employees are valued, respected and opinions count We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website, Issued by HSBC Software Development India Show

As our ML Engineer, you will spearhead the development of core machine learning capabilities focused on candidate screening, speech recognition, voice-to-text intelligence, matching, and scoring. You'll also contribute to NLP/LLM models that power the intelligence behind our end-to-end AI hiring platform. Responsibilities AI/NLP Product Development: Extend NLP and LLM models for candidate understanding, voice transcription enrichment, and sentiment/intent analysis. Performance Optimization: Ensure low latency, high accuracy, and scalable deployment of models in production. Cross-functional Collaboration: Partner with engineering, product, and design to embed intelligent voice experiences into our product. Requirements 2+ years of experience in ML/AI engineering. Strong programming skills in Python, with hands-on experience using TensorFlow, PyTorch, and Hugging Face. Solid understanding of both traditional ML and NLP for audio and language. Experience deploying models in real-world, production environments with cloud infrastructure (AWS/GCP/Azure). Comfort working with unstructured audio, large-scale datasets, and real-time or streaming architectures. Hands-on experience with cloud services (AWS, GCP, or Azure) for AI/ML deployment. Nice To Have Experience in speech or voice-related AI applications is a plus. Experience working with LLMs and transformer-based NLP architectures (e. g., BERT, GPT, Whisper). Familiarity with audio augmentation, noise reduction, and multilingual speech processing. Background in building AI products for interviews, hiring, or HR tech. This job was posted by Zenobia Diana Mccoy from Peoplebox.

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 : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Hyderabad office. - A 15 years full time education is required., 15 years full time education

Backend Development The core responsibilities for the job include the following: Design, develop, and maintain scalable backend systems and APIs using modern technologies and best practices. Work closely with front-end developers to integrate user-facing elements with server-side logic. Optimize performance, scalability, and reliability of the backend architecture. Develop and maintain RESTful services and microservices. Machine Learning Integration (if Applicable) Collaborate with data scientists to integrate machine learning models into backend systems. Work with large datasets, optimizing data processing pipelines for machine learning tasks. Implement algorithms and services for predictive models and AI-driven features. Database Management Work with SQL and NoSQL databases (e. g., MySQL, PostgreSQL, MongoDB) to design efficient database schemas and write complex queries. Ensure data integrity, consistency, and security within backend systems. Testing And Debugging Write unit and integration tests to ensure high-quality code and system reliability. Identify and fix performance bottlenecks or bugs, optimizing both backend code and database interactions. Collaboration Work in an agile environment, participating in sprint planning, stand-ups, and code reviews. Collaborate with cross-functional teams, including front-end developers, data scientists, and product managers, to define product features and system architecture. Requirements 1+ years of professional experience as a Backend Developer or similar role. Experience in web development, including building APIs and microservices. Exposure to machine learning concepts and integration into production systems is a plus. Technical Skills Proficient in at least one backend language (Python, Java, Node.js, etc. ). Familiarity with web frameworks (e. g., Django, Flask, Spring Boot, Express.js ). Knowledge of RESTful APIs, microservices architecture, and cloud computing platforms (AWS, Google Cloud, Azure). Experience with version control (Git). Database Experience with relational and non-relational databases. Proficiency in SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, etc. ) Machine Learning (Preferred) Understanding of machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc. ). Familiarity with cloud-based machine learning tools and platforms. Other Skills Good communication skills and the ability to work in a collaborative team environment. Eagerness to learn new technologies and tackle complex problems. This job was posted by Megha Agarwal from Refactor Academy.

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 : NA Minimum 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 collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. 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 in AI and machine learning. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services, particularly in deploying AI solutions. - Familiarity with data preprocessing and feature engineering techniques. - Ability to work with various AI tools and libraries to develop innovative solutions. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Mumbai office. - A 15 years full time education is required.

About Biz-Tech Analytics At Biz-Tech Analytics, we build production-grade computer vision and AI-driven automation solutions. From visual quality control systems to workforce productivity intelligence, we focus on turning complex data into actionable insights through scalable AI infrastructure. We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across diverse operational workflows. You will take ownership of the entire solution lifecycle, from problem scoping, model development, to deployment and performance monitoring, with a team of ML engineers. Lead design and deployment of computer vision models for applications like object detection, tracking, human activity analysis, and visual quality control Build and optimise image and video data pipelines, ensuring robust data flow from sensors, cameras, and other sources. Architect real-time vision systems, focusing on latency, accuracy, and scalability for edge and cloud environments. Mentor and guide junior ML engineers, fostering a culture of high technical standards and collaborative problem-solving. Stay updated with cutting-edge computer vision research, evaluating and integrating new models (e.g., ViTs, SAM, Grounding DINO) into existing workflows. Work directly with clients and internal stakeholders on AI solutioning, PoCs, and consulting projects. Qualifications At least 5+ years of experience in Machine Learning in Computer Vision projects deployed in production, and optimising models for runtime. Proficiency in Python and proven expertise in computer vision applications like object detection, facial recognition, defect detection and tracking using libraries like PyTorch, TensorFlow, OpenCV, etc. Solid understanding of MLOps workflows, data pipelines, and scalable deployment strategies. Previous experience in leading ML teams, mentoring engineers, and managing project deliverables. Comfortable working in an agile, startup-like environment where problem-solving and ownership are key. Excellent communication skills to translate complex technical concepts into actionable project plans. Good to Have Experience with vision-based automation in the manufacturing industry Exposure to Generative AI workflows. Experience with Large Language Models (LLMs) and building multi-modal AI pipelines. Understanding of AI governance, data compliance, and security protocols. Why Biz-Tech Analytics Work on challenging AI problems that demand innovation, not routine solutions. Lead end-to-end AI projects with full ownership. Collaborate with a small, high-performing team where your contributions are visible and impactful. Flexible, entrepreneurial work culture with opportunities for leadership and growth.

We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion. Responsibilities Model Development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. Data Analysis: Perform a comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. Algorithm Optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. Deployment and Monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Requirements Education level: Bachelor's degree (B. E. / B. Tech) in Computer Science or equivalent from a reputed institute. Technical Expertise Strong foundation in Statistics, Probability, and core Machine Learning concepts. Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches. Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark). Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e. g., torch-rec). Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL). Familiarity with the full Data Science lifecycle from data collection and preprocessing to model deployment. This job was posted by Rituza Rani from Oneture Technologies.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities: Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. #NIC External Candidate Application Internal Employee Application

Seeking a highly skilled and analytical Data Scientist / Machine Learning Engineer to join our team. The ideal candidate will have a strong foundation in data science , machine learning , and statistical analysis , with hands-on experience in building scalable models and working with large datasets in cloud-based environments. Key Responsibilities: Design, develop, and deploy machine learning models for real-world applications using Python , scikit-learn , TensorFlow , or PyTorch . Perform data cleaning , wrangling , transformation , and exploratory data analysis (EDA) using pandas and other Python libraries. Apply statistical techniques such as hypothesis testing , regression analysis , ANOVA , and probability theory to derive insights. Implement supervised and unsupervised learning algorithms , conduct feature engineering , model evaluation , and hyperparameter tuning . Develop data visualizations using Matplotlib , Seaborn , or ggplot to communicate findings effectively. Work with big data technologies such as Apache Hadoop , Apache Spark , or distributed databases for large-scale data processing. Write optimized SQL queries and manage relational databases for data extraction and transformation. Contribute to data engineering pipelines , including data integration , warehousing , and architecture design . Utilize cloud platforms like Microsoft Azure , including Azure Machine Learning , for scalable model deployment. Collaborate using version control systems like Git for code management and team coordination. (Optional/Desirable) Experience with YOLO or other deep learning models for object detection. Qualifications: Bachelors or Masters degree in Computer Science , Data Science , Statistics , Engineering , or a related field. 48 years of experience in data science , machine learning , or AI development . Strong programming skills in Python and experience with data science libraries . Solid understanding of statistical methods , machine learning algorithms , and data modeling . Experience with cloud computing , big data tools , and database management . Preferred Skills: Experience with YOLO , OpenCV , or computer vision frameworks. Familiarity with CI/CD pipelines for ML model deployment. Knowledge of MLOps practices and tools. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

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 worke.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 Masters 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.

Role Description: As an AI Engineer at Knowdis.ai, you will be an integral part of our AI development team, working on challenging projects that leverage the latest advancements in Natural Language Processing (NLP) and Reinforcement Learning. You will be responsible for designing, implementing, and optimizing AI models that drive our core products, focusing on product recommendation systems, marketplaces, and translation systems. This role offers the opportunity to work with a team of highly skilled professionals in a dynamic and collaborative environment. Key Responsibilities: Develop and implement state-of-the-art AI models for product recommendation systems, marketplaces, and translation systems. Design and optimize algorithms for Natural Language Processing (NLP) and Reinforcement Learning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct research to stay up-to-date with the latest advancements in AI and integrate relevant findings into ongoing projects. Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy of AI models. Deploy and maintain AI models in production environments, ensuring scalability and reliability. Participate in code reviews, provide constructive feedback, and ensure best practices in AI development are followed. Document technical designs, experiments, and results for internal and external stakeholders. Qualifications and Experience: Bachelor's degree in Computer Science or a related field from a Tier-1 Institute. 2-5 years of hands-on experience in AI/ML development, with a focus on NLP or Reinforcement Learning. Strong proficiency in programming languages such as Python, and experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proven experience in developing and deploying AI models in real-world applications, particularly in product recommendation systems, marketplaces, or translation systems. Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with data pre-processing, feature extraction, and model evaluation techniques. Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders. Strong problem-solving skills, attention to detail, and a passion for innovation in AI technology Preferred Qualifications: Master's degree in Computer Science or a related field. Experience with cloud platforms (e.g., AWS, GCP, Azure) and scalable AI/ML infrastructure. Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya . Only applications received through this posting will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment and Screening interview administered by Jigya Candidates selected after the Jigya screening rounds will be interviewed by KnowDis