4224 Pytorch Jobs - Page 49

Work Experience :0-1 1. Design and write high-quality code. 2. Responsible for robust and efficient implementation. 3. Stay abreast of the latest advancements in AI, machine learning, and related technologies. 4. Test, debug, analyze and fix application problems/issues. 5. Participate in code reviews in accordance with program specifications and coding standards, practices and conventions, new designs, changes and enhancements. 6. Interact with stakeholders (internal and external) to support product releases and/or resolve program problems. 7. Research and remain informed of new technology and development tools. 8. Experiment with new technologies and approaches to enhance project outcomes. 9. Contribute to internal knowledge sharing and best practices development. Skills : â—� Should have good command in the Python language. â—� Candidates must have knowledge of one of Python frameworks such as Django/Flask. â—� Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. â—� Proficiency in object-oriented design, data structures, algorithm design and problem solving. â—� Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. â—� Well-versed with Prompt Engineering. â—� Should have knowledge of Agent Development using any of the tech, e.g.. Langchain, AutoGen, CrewAI, etc. â—� Knowledge of Computer Vision, OCR, etc. â—� Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. â—� Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc â—� Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc â—� Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson, etc â—� Stay updated with the latest developments in AI, machine learning, and related technologies. â—� Basic Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. E xperience : 0-1 year Experience : 0-1 year Skills : Python, Django, HTML, AI/ML, Css, Flask, RESTful APIs, JavaScript, ML tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc., ,

TCS is conducting Virtual drive on Friday dated 11th June, 2025 Position: AI Engineer Location: Pune Years of Experience: 5-9 yrs(Accurate) Notice Period: Immediate Joiners or 0-30 days NP (Note: Candidates sharing details below experience range will not be considered) Responsibilities: Strong understanding of machine learning techniques, including deep learning, reinforcement learning, and predictive modeling. Demonstrable experience in AI, ML, NLP, or related fields, with a robust portfolio showcasing practical application of these technologies. Proficient in Python and familiar with frameworks for AI development, such as TensorFlow, PyTorch, Keras, scikit-learn, NLTK, Lang chain. Experience in utilizing Python libraries such as NumPy, Pandas, Matplotlib, Plotly Proficient in programming languages such as Python Experience with ML, deep learning, TensorFlow, Python, NLP Experience in program leadership, governance, and change enablement Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Familiarity with modern data platforms and cloud services like AWS, Azure for deploying scalable AI solutions. Kindly attach your updated CVs Thanks & Regards Shilpa Silonee Show more Show less

Job Description: Jr. / Sr. Python Developer We are looking for a highly skilled and experienced Jr. / Sr. Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Location : Mohali Exp : 3-8 yrs Key Responsibilities ● Develop and maintain web applications using Django and Flask frameworks. ● Design and implement RESTful APIs using Django Rest Framework (DRF). ● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. ● Build and integrate APIs for AI/ML models into existing systems. ● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. ● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. ● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. ● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. ● Ensure the scalability, performance, and reliability of applications and deployed models. ● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. ● Write clean, maintainable, and efficient code following best practices. ● Conduct code reviews and provide constructive feedback to peers. ● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications ● Bachelor’s degree in Computer Science, Engineering, or a related field. ● 3-8 years of professional experience as a Python Developer. ● Proficient in Python with a strong understanding of its ecosystem. ● Extensive experience with Django and Flask frameworks. ● Hands-on experience with AWS services for application deployment and management. ● Strong knowledge of Django Rest Framework (DRF) for building APIs. ● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. ● Experience with transformer architectures for NLP and advanced AI solutions. ● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). ● Familiarity with MLOps practices for managing the machine learning lifecycle. ● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. ● Excellent problem-solving skills and the ability to work independently and as part of a team. ● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Interested candidate can share their update resume at manpreet.kaur(at)chicmicstudios.in Thanks Job Type: Full-time Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Education: Bachelor's (Preferred) Experience: total: 3 years (Preferred) Django: 2 years (Preferred) Python: 2 years (Preferred) Work Location: In person

Start N/A Duration 10-12 months Summary The Machine Learning Engineer position focuses on developing machine learning models to solve real-world business challenges in a global industrial context. The primary goal is to support the AI team's efforts in creating innovative solutions for various applications across multiple industries. Main Responsibilities As a Machine Learning Engineer, your core duties will include: Develop, train, test, and deploy machine learning models in areas such as computer vision, LLMs, and time series data. Experiment with deep learning technologies, including self-supervised learning and generative AI. Set up MLOps infrastructure for AI products. Work with customer data to establish data pipelines for collection and transformation. Collaborate with cross-functional teams to extend and build new AI products. Analyze and interpret large datasets using advanced AI techniques. Key Requirements Bachelor or Master’s Degree in Data Science, Computational Statistics/Mathematics, Computer Science, or related field. Basic understanding of neural networks and practical experience with deep learning frameworks like PyTorch and TensorFlow. Experience in backend and API development using Python (e.g., FastAPI, Flask). Knowledge of Object Oriented Programming, design patterns, algorithms, and version control systems (e.g., Git). Nice to Have Basic experience with cloud platforms (e.g., Azure), Docker, and Kubernetes. Fluency in English. Other Details Location: Bengaluru, India. Team: Artificial Intelligence team, part of a global division.

Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Machine Learning Engineer Position: Senior Systems Engineer Experience: 3-8 years Category: Software Development/ Engineering Shift: 12:30 AM IST to 9:30 PM IST Main location: Bangalore Position ID: J0525-1644 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description:. Must have skills : Must have experience in Programming Language (Python, R). Machine learning frameworks: scikit-learn, TensorFlow, PyTorch, or Keras. NLP Libraries : NLTK, spaCy, or Stanford CoreNLP. Data analysis and visualization tools: Pandas, NumPy, Matplotlib, or Seaborn. Experience with cloud-based platforms: AWS, Azure, or Google Cloud. Must have 3+ years of relevant experience in machine learning, NLP, or a related field. Experience with automated process development, deployment, and maintenance. Should be familiar with ticketing systems and auditing processes is a plus. Soft Skills : Excellent communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing requirements. Strong problem-solving skills and attention to detail. Good to have skills : 1. Experience with containerization: Docker, Kubernetes, or other containerization tools. 2. Familiarity with DevOps practices: Agile development, continuous integration, and continuous deployment. 3. Knowledge of IT service management: ITIL, COBIT, or other IT service management frameworks. 4. Certifications: Certified Data Scientist, Certified Machine Learning Engineer, or other relevant certifications. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Life at CGI: It is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons Come join our team, one of the largest IT and business consulting services firms in the world Your future duties and responsibilities Required qualifications to be successful in this role Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Qualifications Minimum of 5 years of experience as a tester, developer or other relevant role Ability to create manual and automated tests from user stories, execute tests and record results Experience with automated testing frameworks, tools and services Knowledge of/Familiarity with DevOps and CI/CD concepts Demonstrated application of strong analytical skills in manual testing approaches > Be a problem solver > Find creative solutions for tough problems > Critical thinker Excellent written & verbal communication skills Preference Given To The Following Experience And Skills Understanding of AI/ML Concepts: A solid grasp of fundamental AI and machine learning concepts (e.g., supervised learning, unsupervised learning, deep learning) is necessary. Data Handling and Analysis: Ability to work with large datasets, understand data quality issues, and perform data analysis to evaluate model performance is crucial. AI Model Testing Techniques: Familiarity with testing methods specific to AI models, such as bias detection, robustness testing, and performance evaluation is needed. Knowledge of AI Frameworks and Tools: Experience with AI development frameworks like TensorFlow or PyTorch and relevant testing tools is advantageous. Show more Show less

Transform 800,000 hectares of greenhouses into fully-autonomous unmanned food production sites At Eternal, we're building the future of sustainable food production. Our mission is to convert the world's existing greenhouses into unmanned facilities that can produce fresh food year-round - addressing the critical need to double food production by 2050 while facing severe labor shortages, water scarcity, and climate challenges. About the Role Join our world-class computer vision team as we revolutionize horticulture automation. Whether you're a recent graduate eager to make your mark or an experienced engineer looking for your next challenge, you'll develop cutting-edge perception systems that enable robots to understand and interact with complex greenhouse environments - from identifying ripe produce to detecting plant diseases and optimizing crop health. As a Computer Vision Engineer at Eternal, you'll be part of a high-performance culture that values first-principles thinking and rapid iteration. You'll work at the intersection of classical computer vision and modern deep learning, creating perception systems that operate reliably in challenging agricultural environments with varying lighting, occlusions, and organic variability. You'll collaborate with a distributed team across our Cologne HQ and Bengaluru office, pushing the boundaries of what's possible in agricultural computer vision while delivering practical solutions that work 24/7 in production environments. What You'll Do Design and implement robust computer vision algorithms for crop detection, ripeness assessment, and precise localization in dynamic greenhouse environments Develop deep learning models for multi-class segmentation, object detection, and tracking of plants, fruits, and agricultural structures Create real-time perception pipelines that process 2D/3D sensor data for robotic decision-making with sub-centimeter accuracy Build intelligent systems that adapt to varying environmental conditions, including changes in lighting, plant growth stages, and seasonal variations Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency Implement continuous learning systems that improve model performance through data collected from our deployed robot fleet Collaborate cross-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end-to-end perception solutions Qualifications Core Requirements (All Levels) Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field (or graduating by Summer 2025) Strong programming skills in C++ and/or Python for computer vision applications Understanding of fundamental computer vision concepts: image processing, feature detection, camera calibration, and 3D geometry Experience with deep learning frameworks (PyTorch, TensorFlow) and classical CV libraries (OpenCV) Familiarity with Linux environments and version control systems Passion for solving complex real-world problems with tangible impact Experience Levels New Graduate / Entry Level (0-2 years) Recent graduate or final year student with strong academic performance Hands-on computer vision experience through internships, research projects, or competitions Demonstrated programming skills through coursework or personal projects Understanding of CNNs and basic deep learning architectures Early Career (2-5 years) Solid foundation in both classical and deep learning-based computer vision Experience deploying at least one vision system from research to production Proficiency with modern architectures (YOLO, Mask R-CNN, Vision Transformers) Understanding of model optimization techniques and edge deployment Senior Level (5-8 years) Proven track record of deploying vision systems in production environments Experience with 3D vision, multi-sensor fusion, or SLAM algorithms Knowledge of model optimization for embedded systems (quantization, pruning, distillation) Ability to mentor junior engineers and lead technical initiatives Staff/Principal Level (8+ years) Technical leadership experience with complex perception systems Deep expertise across multiple vision domains (2D/3D, classical/learning-based) Strategic thinking about perception architecture and technology roadmaps Track record of building and scaling high-performance computer vision teams Preferred Qualifications Experience with agricultural or outdoor computer vision applications Knowledge of 3D sensors (stereo cameras, LiDAR, structured light) GPU programming skills (CUDA) for accelerating vision algorithms Experience with vision-language models or foundation models Familiarity with ROS2 for perception system integration Publications at top-tier computer vision conferences (CVPR, ICCV, ECCV) Open source contributions to computer vision projects Why Eternal? Launch Your Career : For new graduates, this is a unique opportunity to join a proven team and learn from engineers who've already built and deployed commercial vision systems. You'll get hands-on experience with cutting-edge technology while making a real-world impact from day one. Impact at Scale : Your perception algorithms will directly enable robots to transform 800,000 hectares of greenhouses worldwide into sustainable, autonomous food production facilities. Technical Excellence : Work with state-of-the-art computer vision technology including modern deep learning architectures, 3D perception, and multi-modal sensor fusion. Rapid Innovation : Our software-first approach means you'll see your models deployed to real robots in hours/days, not months. We've proven we can develop and deploy new perception capabilities over-the-air as crops evolve. Unique Challenges : Tackle perception problems that combine the complexity of outdoor vision (varying lighting, weather) with the precision requirements of industrial automation. Growth Opportunity : Join as we scale from proof-of-concept to global deployment. Be part of the core team shaping the future of agricultural perception. Clear career progression from graduate to senior engineer and beyond. Mentorship & Learning : Work alongside experienced computer vision engineers who've solved complex real-world problems. We invest in your growth through hands-on projects, technical mentorship, and exposure to all aspects of vision system development. Flexible Work Culture : Distributed team with offices in Cologne and Bengaluru, following a "follow-the-sun" support model for our 24/7 operations. Our Tech Stack Vision Libraries : OpenCV, PCL, Open3D Deep Learning : PyTorch, TensorFlow, ONNX Deployment : TensorRT, OpenVINO, ONNX Runtime Sensors : RGB cameras, stereo vision, depth sensors Infrastructure : Cloud-native training pipelines, edge deployment systems Integration : ROS2 for robotic system integration Apply Now Ready to revolutionize how the world grows food through advanced computer vision? Whether you're starting your career or looking to make a bigger impact, join us in building perception systems that will enable sustainable food production for billions. We're committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experience levels who are excited about our mission and show potential to grow with us. Recent graduates - don't let experience requirements hold you back; we value passion, potential, and fresh perspectives. Eternal is building unmanned food production sites that can sustainably produce fresh food year-round. Backed by world-class investors and partnering with leading agricultural companies, we're turning the vision of fully-autonomous unmanned greenhouses into reality.

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Associate level Min Experience: 1 years Location: Bengaluru JobType: full-time We’re looking for a motivated and innovative AI Developer with 1 to 3 years of experience to join our expanding AI team. This role is perfect for those eager to apply AI and machine learning techniques to build impactful, scalable solutions that drive real business value. You will collaborate closely with data scientists, developers, and product owners to bring intelligent capabilities into our products and services. What You’ll Be Doing Develop and deploy AI and machine learning models tailored to solve practical, complex challenges across various business domains. Partner with cross-functional teams to understand project goals, translate requirements into technical solutions, and deliver AI-enhanced features. Utilize popular ML frameworks like TensorFlow, PyTorch, and scikit-learn to build models for prediction, classification, recommendation, and more. Design and optimize deep learning architectures, leveraging large and diverse datasets for maximum performance. Build automated model training, validation, and deployment pipelines to ensure reliability and scalability in production environments. Continuously monitor model outputs, analyze performance metrics, and fine-tune algorithms to improve accuracy and efficiency. Keep abreast of emerging AI trends and research, experimenting with new tools and techniques to enhance current workflows. Collaborate on cloud-based AI infrastructure using AWS, Azure, or Google Cloud to deploy and scale models. Write clear, maintainable code with proper documentation and adhere to software engineering best practices. Who You Are A Bachelor’s or Master’s graduate in Computer Science, AI, Data Science, or a related technical field. 1–3 years of practical experience developing machine learning or AI solutions in a professional setting. Skilled in Python programming with hands-on experience in ML libraries such as TensorFlow, PyTorch, Keras, or scikit-learn. Solid grasp of core concepts in algorithms, data structures, and statistics as they apply to AI and ML. Exposure to specialized domains such as natural language processing (NLP), computer vision, or recommendation systems is highly desirable. Experience in data preprocessing, feature engineering, and robust model evaluation methodologies. Familiarity with software development lifecycle including version control (Git), automated testing, and CI/CD pipelines. Experience working with cloud ML platforms such as Amazon SageMaker, Google AI Platform, or Azure Machine Learning is a plus. Strong analytical mindset and problem-solving skills, with meticulous attention to detail. Excellent communication skills, comfortable collaborating across technical and non-technical teams.

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world’s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions. We in the Insights Team are responsible for SMS Categorization, Fraud detection and other Smart SMS features within the Truecaller app. The OTP & bank notifications, bill & travel reminder alerts are some examples of the Smart SMS features. The team has developed a patented offline text parser that powers all these features and the team is also exploring cutting edge technologies like LLM to enhance the Smart SMS features. The team’s mission is to become the World’s most loved and trusted SMS app which is aligned with Truecaller’s vision to make communication safe and efficient. Smart SMS is used by over 90M users every day. As an ML Engineer , you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data with a focus on NLP. In this role, you will be working hands-on to optimize the training and deployment of ML models to be quick and cost-efficient. Also, you will be pivotal in advancing our work with large language models and in-device models across diverse regions. Your expertise will enhance our natural language processing, machine learning, and predictive analytics capabilities. What You Bring In 3+ years in machine learning engineering, with hands-on involvement in feature engineering, model development, and deployment. Experience in Natural Language Processing (NLP), with a deep understanding of text processing, model development, and deployment challenges in the domain. Proven ability to develop, deploy, and maintain machine learning models in production environments, ensuring scalability, reliability, and performance. Strong familiarity with ML frameworks like TensorFlow, PyTorch, and ONNX, and experience in tech stack such as Kubernetes, Docker, APIs, Vertex AI, GCP. Experience deploying models across backend and mobile platforms. Fine-tune and optimize LLMs prompts for domain-specific applications Ability to optimize feature engineering, model training, and deployment strategies for performance and efficiency. Strong SQL and statistical skills. Programming knowledge in at least one language, such as Python or R. Preferably python. Knowledge of machine learning algorithms. Excellent teamwork and communication skills, with the ability to work cross-functionally with product, engineering, and data science teams. Good to have the knowledge in retrieval-based pipelines to enhance LLM performance The Impact You Will Create Collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope. Design, develop, and deploy state-of-the-art NLP models, contributing directly to message classification and fraud detection at scale for millions of users. Leverage cutting-edge NLP techniques to enhance message understanding, spam filtering, and fraud detection, ensuring a safer and more efficient messaging experience. Build and optimize ML models that can efficiently handle large-scale data processing while maintaining accuracy and performance. Work closely with data scientists and data engineers to enable rapid experimentation, development, and productionization of models in a cost-effective manner. Streamline the ML lifecycle, from training to deployment, by implementing automated workflows, CI/CD pipelines, and monitoring tools for model health and performance. Stay ahead of advancements in ML and NLP, proactively identifying opportunities to enhance model performance, reduce latency, and improve user experience. Your work will directly impact millions of users, improving message classification, fraud detection, and the overall security of messaging platforms. It Would Be Great If You Also Have Understanding of Conversational AI Deploying NLP models in production Working knowledge of GCP components Cloud-based LLM inference with Ray, Kubernetes, and serverless architectures. Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore , India. We only accept applications in English. What We Offer A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you. Job info Location Bengaluru, Karnataka, India Category Data Science Team Insights Posted 15 days ago Show more Show less

Omega Healthcare Management Services Private Limited TAMIL NADU Posted On 05 Jun 2025 End Date 19 Jun 2025 Required Experience 5 - 8 Years Basic Section No. Of Openings 1 Grade T2 Designation Technology Specialist - Technology Closing Date 19 Jun 2025 Organisational Country IN State TAMIL NADU City CHENNAI Location Chennai-I Skills Skill SDLC PL/SQL SOLUTION ARCHITECTURE JAVA UNIX .NET SOA MICROSOFT SQL SERVER SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Job Description Role : Data Scientist Educational Qualification : ME/BE / MCA Experience Required : 4+ Years Shifts : Day shift Skills & Responsibilities: Experience: 4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks: Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP: Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALL·E, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics: Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment: Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics: Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment: Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

Key Responsibilities: Develop, fine-tune, and evaluate vision-language models (e.g., CLIP, Flamingo, BLIP, GPT-4V, LLaVA, etc.). Design and build multimodal pipelines that integrate image/video input with natural language understanding or generation. Work with large-scale image-text datasets (e.g., LAION, COCO, Visual Genome) for training and validation. Implement zero-shot/few-shot multimodal inference, retrieval, captioning, VQA (Visual Question Answering), grounding, etc. Collaborate closely with product teams, ML engineers, and data scientists to deliver real-world multimodal applications. Optimize model inference performance and resource utilization in production environments (ONNX, TensorRT, etc.). Conduct error analysis, ablation studies, and propose improvements in visual-language alignment. Contribute to research papers, documentation, or patents if in a research-driven team. Required Skills & Qualifications: Bachelor’s/Master’s/PhD in Computer Science, AI, Machine Learning, or a related field. 2+ years experience in computer vision or NLP, with at least 1+ year in multimodal ML or VLMs. Strong programming skills in Python, with experience in libraries like PyTorch, HuggingFace Transformers, OpenCV, torchvision. Familiarity with VLM architectures: CLIP, BLIP, Flamingo, LLaVA, Kosmos, GPT-4V, etc. Experience with dataset curation, image-caption pair processing, and image-text embedding strategies. Solid understanding of transformers, cross-attention mechanisms, and contrastive learning. Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per year Schedule: Day shift Work Location: In person

Tech Stack Skills: Should have a minimum of 5+ years of experience in - Python, Numpy, Pandas. Expert in Web Frameworks - Flask, Fastapi, Fast API, REST API. Working knowledge in Front end - HTML, CSS Good Understanding of Js Frameworks - Vue js, Angular, Ember, etc.. Good Understanding of Databases - Mysql, Postgresql, Mongo ,ElasticSearch Deep Knowledge of Deployment - Jenkins, Docker, Kubernetes Deep Knowledge of Cloud tools - Azure ml , Azure Databricks Deep Knowledge of Caching & Queue - Redis, RabbitMQ, AzureQueue Knowledge of MLOPS - Tensorflow, pytorch, etc.. Knowledge of Cloud - Azure Job Type: Full-time Pay: ₹2,000,000.00 - ₹3,500,000.00 per year Benefits: Health insurance Paid sick time Paid time off Work from home Location Type: In-person Work Location: In person

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

Required Qualifications:  Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.  +3 years of professional experience in AI/ML data engineering. Technical Skills:  Proficiency in programming languages such as Python and R.  Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).  Experience with conversational AI platforms (preferred: Oracle Digital Assistant).  Experience with data processing tools and platforms (e.g., Apache Spark, Hadoop etc..).  Familiarity with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models.  Experience with natural language processing (NLP) techniques and libraries (e.g., NLTK, SpaCy).  Understanding of deep learning architectures for NLP (e.g., transformers, BERT).  Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).  Knowledge of statistical analysis and data visualization using R-language. Soft Skills:  Strong analytical and problem-solving skills.  Excellent communication and teamwork abilities.  Eagerness to learn new technologies and methodologies. Key Responsibilities: 1. AI/ML Model Development: o Design, develop, and implement machine learning models to address complex business challenges. o Preprocess and analyze large datasets to extract valuable insights for model training. o Optimize model performance through hyperparameter tuning and algorithm selection. o Utilize R in conjunction with Python for a comprehensive data analysis toolkit. 2. Oracle Digital Assistant (ODA) Integration: o Develop and deploy intelligent conversational agents using Oracle Digital Assistant (ODA). o Integrate AI/ML models seamlessly with ODA to enhance the capabilities of chatbots and virtual assistants. o Continuously refine ODA solutions based on user feedback and performance metrics. o Leverage Oracle Cloud Infrastructure (OCI) for deploying and managing ODA solutions, ensuring scalability and reliability. 3. Data Engineering: o Build and maintain robust data pipelines to support AI/ML model training and deployment. o Implement data validation processes to ensure data quality and integrity. o Collaborate closely with data scientists and analysts to define data requirements and deliver actionable insights. 4. Collaboration and Communication: o Work effectively across functional teams, including data scientists, software engineers, and product managers. o Communicate technical concepts clearly to both technical and non-technical stakeholders. o Document development processes, models, and integrations for future reference. 5. Research and Innovation: o Stay abreast of the latest advancements in AI/ML, NLP, and conversational AI technologies. o Experiment with new algorithms and approaches to improve existing solutions. o Contribute to the development of best practices and standards for AI/ML engineering. 6. Documentation o Create and maintain comprehensive project documentation. o Document code and APIs to ensure they are understandable and usable by other developers. Job Type: Full-time Pay: ₹448,780.74 - ₹767,935.03 per year Schedule: Day shift Experience: Data Engineer: 2 years (Preferred) Work Location: In person

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 7th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data 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) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

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: 7th June 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 7th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 7th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data 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) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Job Description: We are seeking an AI Developer with a strong background in computer vision, chatbot development, and camera integration. The ideal candidate will have experience in developing machine learning and deep learning solutions. Key Responsibilities: · Develop and implement AI solutions with a focus on computer vision applications, including working with images, videos, and camera integration. · Design and deploy chatbot solutions using advanced machine learning and natural language processing techniques. · Work with Python and relevant libraries (TensorFlow, YOLO, Keras, PyTorch) to create efficient AI models. · Integrate and optimize machine learning models in real-time video processing and camera-based applications. · Collaborate with front-end teams to build seamless user interfaces using HTML, CSS, and JavaScript. · Manage and process large datasets using tools such as Pandas, Numpy, SciPy and other data analysis frameworks. · Work with both SQL and NoSQL databases for AI application support. · Contribute to software architecture, data modeling, and systems design. · Provide solutions that improve the scalability and performance of computer vision projects. · Collaborate with cross-functional teams for end-to-end AI solution delivery. Show more Show less

POSITION INFORMATION Position Title: Software Engineer – Trainee - India Career Track Position Code: Division/Dept: CDO FLSA: Exempt Date Created/Revised Salary Grade: Summary POSITION SUMMARY AND PRIMARY RESPONSIBILITIES Position Summary : The Software Engineer develops capabilities required to build software systems using various software and cloud technologies. He/She should have strong analytical, problem solving, Software programming, Software Database, ability to create visualization and interaction layer on Web/Windows with good integration with underlying technology framework and computer operating system such as Windows / Unix. F exposure to AI/ML and Data science is an added advantage. Responsibilities Responsibilities : Develop/Build software application / systems based on the design document across Front-end (web/windows), Back-end (.net/java/python) and Database systems Utilize best practices around design, coding, automated unit, regression testing, and deployment of software to production Work effectively in the agile-at-scale framework Clearly communicate status, updates and plan to project leadership Learn, acquire and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data science will be of additional advantage. PEOPLE MANAGEMENT - (Provide approx numbers of direct/indirect reports and indicate exempt/nonexempt employees; the level/degree of supervision provided) Does this position have direct report responsibility? Yes x No If Yes, Number of Exempt and Non-Exempt level employees _____ Exempt _____Non-Exempt Please describe in some detail the level of supervision provided: Report to Project manager or Technical lead or equivalent with general supervision. Required Skills At least one of Java/.Net/Python/NodeJS Good Knowledge of JavaScript At least one of ASP.Net/Angular/ReactJS RDBMS (Oracle/SQL Server/Postgre) and Good Knowledge of SQL Preferable: Knowledge of database management tools like Liquibase / Hibernate Good understanding of Devops (e.g. Azure DevOps) and cloud PaaS. Good understanding of coding standards, ability to debug. Good understanding of Software development lifecycle and processes. Cloud-based (AWS/Azure) deployment of models, performance monitoring and issues troubleshooting Excellent written and oral communication skills Ability to work effectively in a cross-functional team Familiarity with Docker and Git Exposure to AI/ML frameworks in Pythin, Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in Computer Science, Information Technology, Electronics Communication. Other branches of engineering with proven Programming skills demonstrated through projects in Github can also appear. Show more Show less

POSITION INFORMATION Position Title: Software Engineer – Trainee - India Career Track Position Code: Division/Dept: CDO FLSA: Exempt Date Created/Revised Salary Grade: Summary POSITION SUMMARY AND PRIMARY RESPONSIBILITIES Position Summary : The Software Engineer develops capabilities required to build software systems using various software and cloud technologies. He/She should have strong analytical, problem solving, Software programming, Software Database, ability to create visualization and interaction layer on Web/Windows with good integration with underlying technology framework and computer operating system such as Windows / Unix. F exposure to AI/ML and Data science is an added advantage. Responsibilities Responsibilities : Develop/Build software application / systems based on the design document across Front-end (web/windows), Back-end (.net/java/python) and Database systems Utilize best practices around design, coding, automated unit, regression testing, and deployment of software to production Work effectively in the agile-at-scale framework Clearly communicate status, updates and plan to project leadership Learn, acquire and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data science will be of additional advantage. PEOPLE MANAGEMENT - (Provide approx numbers of direct/indirect reports and indicate exempt/nonexempt employees; the level/degree of supervision provided) Does this position have direct report responsibility? Yes x No If Yes, Number of Exempt and Non-Exempt level employees _____ Exempt _____Non-Exempt Please describe in some detail the level of supervision provided: Report to Project manager or Technical lead or equivalent with general supervision. Required Skills At least one of Java/.Net/Python/NodeJS Good Knowledge of JavaScript At least one of ASP.Net/Angular/ReactJS RDBMS (Oracle/SQL Server/Postgre) and Good Knowledge of SQL Preferable: Knowledge of database management tools like Liquibase / Hibernate Good understanding of Devops (e.g. Azure DevOps) and cloud PaaS. Good understanding of coding standards, ability to debug. Good understanding of Software development lifecycle and processes. Cloud-based (AWS/Azure) deployment of models, performance monitoring and issues troubleshooting Excellent written and oral communication skills Ability to work effectively in a cross-functional team Familiarity with Docker and Git Exposure to AI/ML frameworks in Pythin, Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in Computer Science, Information Technology, Electronics Communication. Other branches of engineering with proven Programming skills demonstrated through projects in Github can also appear. Show more Show less

Job Family Data Science & Analysis (India) Travel Required Up to 10% Clearance Required None What You Will Do Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-and other relevant datasets, focusing on accuracy and context relevance. Collaborate with cross-functional teams (Business, engineering, IT) to seamlessly integrate AI/ML technologies into our solution offerings. Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance. Continuously research and evaluate the latest advancements in AI/ML and industry trends to drive innovation. Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures. Provide technical guidance and mentorship to junior AI engineers and team members. Collaborate with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development. Select and curate appropriate datasets for fine-tuning foundational models to address specific use cases. Ensure AI solutions can seamlessly integrate with existing systems and applications. What You Will Need Bachelors or master’s in computer science, Artificial Intelligence, Machine Learning, or a related field. 4 to 6 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.). Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.). Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI) and regulatory compliance (HIPAA, SOC2) is preferred. Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors. Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment. Worked on a minimum of 2 AI/LLM projects from the beginning to the end with proven value for business. What Would Be Nice To Have Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. Show more Show less

Experience-10-16 years Location-Remote PRIMARY SKILLS (MUST HAVE SKILLS): • ML/DL Expertise: Deep proficiency in machine learning frameworks (TensorFlow, PyTorch) and neural network architectures (CNNs, Transformers), with strong Python programming skills. • Algorithms & Foundations: Robust knowledge of core algorithmic principles, mathematics, and statistical methodologies relevant to AI. • Medical Imaging Domain Knowledge: Expert-level understanding of imaging modalities (CT, MRI, Ultrasound, X-ray), their underlying physics, and clinical applications. • Computer Vision & Image Analysis: Extensive practical experience in advanced image analysis techniques, including classification, segmentation, detection, and registration applied to medical imaging. • Generative AI & Synthetic Data: Demonstrated capability in utilizing generative models (GANs, VAEs, diffusion models) for synthetic medical data generation and augmentation. • Validation & Regulatory Awareness: Proven track record in rigorous validation of AI models and familiarity with healthcare-specific regulatory standards (e.g., SaMD, QMS, HIPAA, GDPR). • Cross-Disciplinary Collaboration: Strong interpersonal and communication skills, with the ability to effectively collaborate across technical, clinical, and business teams. • Innovation & Problem-Solving: Established history of innovative problem-solving, supported by significant contributions such as patents, publications, or successful clinical deployments. Show more Show less

Job Title: AI Engineer – Azure AI Key Responsibilities: We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities: Agent Development: Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsoft’s AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment and related technologies. Show more Show less

Role Overview Looking for a Senior Developer/SME having 10+ years of experience proficient on the backend side who will be part of the application development team for a major Insurance client. He/She will work with different stakeholders to identify application development opportunities. Strong with Python and having advanced level knowledge of NumPy, Pandas & OOPS is mandatory. The candidate should have good exposure to System Design, Design Patterns and Best Design practices. Must have experience in building models/App (Actuarial Model and Financial Models). The role will involve activities including design, build and configuration of applications, refactoring to meet business process and application requirements. The person will also be required to participate actively in brainstorming sessions and drive architecture and software improvement opportunities and take it to completion. Must have experience in leading/managing a team, act as an advisor to the project team. Good to have understanding and knowledge of Tensor libraries like PyTorch. Good to have exposure on Cloud Services like AWS, GCP, Azure. Experience in life insurance preferred but not mandatory. Key Responsibilities & Skillsets Common Skillsets: Superior analytical and problem-solving skills. Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision. Good communication skill for client interaction Application development Skillsets: Exposure to Python oriented data analytical libraries such as NumPy, Pandas. Advanced level knowledge of NumPy, Pandas & OOPS is mandatory. Experience in designing, implementation, and testing of Python application with good understanding of object-oriented programming, multi-tier architecture, parallel/ multi-threaded programming. Knowledge of Agile/Waterfall methodology for application development and testing life cycle. Candidate Profile Bachelor’s/master’s degree in economics, mathematics, computer science/engineering or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply. Advanced level knowledge of NumPy, Pandas & OOPS is mandatory. Application development & refactoring experience Team Management. Superior analytical and problem-solving skills. Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges. Is able to understand cross cultural differences and can work with clients across the globe. Show more Show less

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Data Scientist Are you ready to shine? At Sun Life, we empower you to be your most brilliant self. Who we are? Sun Life is a leading financial services company with history of 150+ years that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance. Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products Advice. Financial planning and retirement planning services Asset management. Pooled funds, institutional portfolios, and pension funds Sun Life is a leading financial services company that helps our clients achieve lifetime financial security and live healthier lives, with strong insurance, asset management, investments, and financial advice portfolios. At Sun Life, our asset management business draws on the talent and experience of professionals from around the globe. Sun Life Global Solutions (SLGS) Established in the Philippines in 1991 and in India in 2006, Sun Life Global Solutions, (formerly Asia Service Centers), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. We are constantly expanding our strength in Information technology and are looking for fresh talents who can bring ideas and values aligning with our Digital strategy. Our Client Impact strategy is motivated by the need to create an inclusive culture, empowered by highly engaged people. We are entering a new world that focuses on doing purpose driven work. The kind that fills your day with excitement and determination, because when you love what you do, it never feels like work. We want to create an environment where you feel empowered to act and are surrounded by people who challenge you, support you and inspire you to become the best version of yourself. As an employer, we not only want to attract top talent, but we want you to have the best Sun Life Experience. We strive to Shine Together, Make Life Brighter & Shape the Future! Responsibility/Skillsets (Must) Understand and design analytical solutions to Business problems leveraging Data science. Should be able to understand and gather the requirement from Stakeholders. Propose and execute the solution and present the deliverables to Stakeholders. Manage and optimize the deliverables. Mentor and Train new team members. Develop POCs to enhance team’s capability. Skillsets (Must) Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models. Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Use various statistical techniques and ML methods to perform predictive modeling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business. Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Stronghold on Visualization tool libraries in Python like matplotlib, seaborn. Experience with cloud computing infrastructure like Azure, Cosmos DB, PowerBI. Able to develop, test and deploy models on Cloud/Web. Experience in Designing and Deploying Deep Learning Solutions Excellent knowledge of Deep Learning Architectures/Convolutional Neural Networks Excellent knowledge of Supervised Learning, Adversarial Learning Excellent Python Coding Skills Robust working knowledge with deep learning frameworks (like Tensor flow, Keras, PyTorch) Skillsets (Good To Have) BFSI Domain. Experience on Textual Analytics, Web Crawlers, Recommendation Engines Understanding of MLOps Qualifications BE/B. Tech. /MBA/M.Stat./M.Sc. or equivalent degree in Quant. from reputed institute. 5-10 years of relevant experience. Soft Skills Excellent organizational skills and ability to prioritize wide range of tasks Demonstrated initiative and creativity - ability to influence (add value) Strong interpersonal, communication, motivational, organizational and planning skills Job Category: Advanced Analytics Posting End Date: 10/07/2025 Show more Show less