9276 Pytorch Jobs - Page 13

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. Apply here: https://docs.google.com/forms/d/e/1FAIpQLSdJvrhDK5Cat22ARGs0IpBxpxJTBkRrNMtT8anILlMuBzxYGg/viewform?usp=dialog We will only be looking at responses on the Google form. 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. Apply here: https://docs.google.com/forms/d/e/1FAIpQLSdJvrhDK5Cat22ARGs0IpBxpxJTBkRrNMtT8anILlMuBzxYGg/viewform?usp=dialog 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 a skilled and versatile Full Stack Developer with hands-on experience in Python (focused on AI/ML) , Node.js , and React.js . This role offers an exciting opportunity to work on innovative products that leverage machine learning and modern web technologies to deliver cutting-edge solutions. Key Responsibilities Design and develop scalable, high-performance web applications using Node.js and React.js Build and integrate machine learning models and pipelines using Python Collaborate with data scientists, frontend/backend engineers, and product managers Optimize application performance and maintain code quality through reviews and testing Work with RESTful APIs and/or GraphQL for efficient data exchange Participate in the entire software development lifecycle — from requirement gathering to deployment and monitoring Stay up to date with emerging technologies and suggest relevant improvements RequirementsTechnical Skills: Strong proficiency in Python , particularly for AI/ML applications Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Solid knowledge of Node.js for backend development (REST APIs, authentication, databases) Proficiency with React.js and modern JavaScript (ES6+), including Redux or similar state management libraries Familiarity with databases (SQL/NoSQL) such as PostgreSQL, MongoDB, or Firebase Experience with Git , CI/CD tools, and modern DevOps practices Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person

Job Description We are seeking a skilled and innovative AI Specialist to join our growing electric vehicle manufacturing team. You will play a key role in integrating artificial intelligence and machine learning technologies into various EV production, quality control, and performance optimization processes. Key Responsibilities Design and implement AI models for predictive maintenance, battery performance analysis, and production automation. Analyze data from EV components (battery, controller, motor) to improve system efficiency and safety. Work on intelligent automation tools for factory operations (robotics, vision systems, etc.). Use AI to forecast demand, optimize supply chain, and improve vehicle diagnostics. Collaborate with R&D, engineering, and production teams to identify opportunities for AI application. Evaluate and deploy computer vision models for defect detection in assembly lines. Continuously monitor and fine-tune AI models for performance improvements. Required Skills & Qualifications Bachelor’s/Master’s in AI, Machine Learning, Computer Science, Data Science, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, or OpenCV. Knowledge of embedded systems and IoT applications in automotive/EV industry is a plus. Experience working with industrial datasets and real-time sensor data. Familiarity with AI-powered automation and robotic systems. Strong problem-solving, analytical, and communication skills. Preferred Experience 2–5 years of experience in AI/ML roles, preferably in manufacturing, automotive, or EV sector. Hands-on experience with machine learning model deployment in a production environment. **Salary: As per candidate’s experience and knowledge Apply now by sending your resume to hr@anantev.com & 8585007706 Job Types: Full-time, Permanent Pay: ₹9,901.27 - ₹50,442.79 per month Benefits: Health insurance Provident Fund Ability to commute/relocate: Park Street, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Required) Language: English (Required) Hindi (Required) Bengali (Required) Location: Park Street, Kolkata, West Bengal (Required) Work Location: In person

🌟 Position Overview We are hiring an experienced Python Developer with deep expertise in AI automation , workflow orchestration , and custom model development to build next-generation healthcare applications. This role is ideal for developers who love training, modifying, and deploying production-grade AI systems while navigating the challenges of compliance, data governance, and real-time performance in healthcare environments. 🧠 Key Responsibilities🤖 AI Workflow Automation & Orchestration Build intelligent automation pipelines for clinical workflows Orchestrate real-time and batch AI workflows using Airflow , Prefect , or Dagster Develop event-driven architectures and human-in-the-loop validation layers Automate data ingestion, processing, and inference pipelines for medical data 🧪 Custom AI Model Development Train custom NLP, CV, or multi-modal models for medical tasks Fine-tune open-source models for domain-specific adaptation Use transfer learning on small datasets for clinical use Build ensemble learning systems for diagnostic accuracy 🧬 Open-Source Model Adaptation Modify models from Hugging Face, Meta, or Google for medical understanding Build custom tokenizers for EMR/EHR and medical terminology Apply quantization, pruning , and other inference optimizations Develop custom loss functions , training loops , and architectural variations ⚙️ MLOps & Deployment Create training and CI/CD pipelines using MLflow, Kubeflow, or W&B Scale distributed training across multi-GPU environments (Ray/Horovod) Deploy models with FastAPI/Flask , supporting both batch and real-time inference Monitor for model drift , performance degradation, and compliance alerts 🏥 Healthcare AI Specialization Build systems for: Medical text classification & entity recognition Radiology report generation Clinical risk prediction Auto-coding & billing Real-time care alerts Ensure HIPAA compliance in all stages of model lifecycle ✅ Required Qualifications💻 Technical Skills 4–6 years of Python development 2+ years in ML/AI with deep learning frameworks (PyTorch/TensorFlow) Experience modifying open-source transformer models Strong expertise in workflow orchestration tools (Airflow, Prefect, Dagster) Hands-on with MLOps tools (MLflow, W&B, SageMaker, DVC) 🔍 Core Competencies Strong foundation in transformers , NLP , and CV Experience in distributed computing, GPU programming, and model compression Ability to explain and interpret model decisions (XAI, SHAP, LIME) Familiarity with containerized deployments (Docker, K8s) 🧰 Technical Stack Languages : Python 3.9+, CUDA ML Frameworks : PyTorch, TensorFlow, Hugging Face, ONNX Workflow Tools : Airflow, Prefect, Dagster MLOps : MLflow, Weights & Biases, SageMaker Infra : AWS, Kubernetes, GPU Clusters Data : Spark, Dask, Pandas Databases : PostgreSQL, MongoDB, Delta Lake, S3 Versioning : Git, DVC 🌟 Preferred Qualifications Healthcare experience (EHR, medical NLP, radiology, DICOM, FHIR) Knowledge of federated learning , differential privacy , and AutoML Experience with multi-modal , multi-task , or edge model deployment Contributions to open-source projects , or research publications Knowledge of explainable AI and responsible ML practices 🎯 Key Projects You'll Work On Real-time clinical documentation automation Custom NER models for ICD/CPT tagging LLM adaptation for medical conversation understanding Real-time risk stratification pipelines for hospitals 🎁 What We Offer Comprehensive health, plans Flexible work options (remote/hybrid) with quarterly in-person meetups 📤 Application Requirements Resume with ML/AI experience GitHub or portfolio links (model code, notebooks, demos) Cover letter describing your AI workflow or custom model build Code samples (open-source or private repos) Optional: Research papers, Kaggle profile, open challenges 🧪 Interview Process Initial HR screening (30 mins) Take-home Python + ML coding challenge Technical ML/AI deep-dive (90 mins) Model training/modification practical (2 hrs) System design for ML pipeline (60 mins) Presentation or walkthrough of past AI work (45 mins) Culture fit + final discussion References + offer 🏥 About the Role You will help build AI that doesn’t just analyze data — it augments clinical decisions , automates medical documentation, and assists doctors in real-time. This role will impact thousands of patients and redefine how AI powers healthcare. Aarna Tech Consultants Pvt. Ltd. (Atcuality) is an equal opportunity employer. We believe in diversity, ethics, and inclusive AI systems for healthcare.

About The Role We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will be responsible for the design, development, deployment, and maintenance of machine learning models and systems that drive our [mention specific business area or product, e.g., recommendation engine, fraud detection system, autonomous vehicles]. You will work closely with data scientists, software engineers, and product managers to translate business needs into scalable and reliable machine learning solutions. This is a key role in shaping the future of and requires a strong technical foundation combined with a passion for innovation and problem-solving. Responsibilities Model Development & Deployment: * Design, develop, and deploy machine learning models using various algorithms (e.g., regression, classification, clustering, deep learning) to solve complex business problems. * Select appropriate datasets and features for model training, ensuring data quality and integrity. * Implement and optimize model training pipelines, including data preprocessing, feature engineering, model selection, and hyperparameter tuning. * Deploy models to production environments using containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). * Monitor model performance in production, identify and troubleshoot issues, and implement model retraining and updates as needed. * Infrastructure & Engineering: * Develop and maintain APIs for model serving and integration with other systems. * Write clean, well-documented, and testable code. * Collaborate with software engineers to integrate models into existing products and services. * Research & Innovation: * Stay up-to-date with the latest advancements in machine learning and related technologies. * Research and evaluate new algorithms, tools, and techniques to improve model performance and efficiency. * Contribute to the development of new machine learning solutions and features. * Proactively identify opportunities to leverage machine learning to solve business challenges. * Collaboration & Communication: * Collaborate effectively with data scientists, software engineers, product managers, and other stakeholders. * Communicate technical concepts and findings clearly and concisely to both technical and non-technical audiences. * Participate in code reviews and contribute to the team's knowledge sharing. Qualifications Experience: 7+ years of experience in machine learning engineering or a related field. * Technical Skills: * Programming Languages: Proficient in Python and experience with other languages (e.g., Java, Scala, R) is a plus. * Machine Learning Libraries: Strong experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Keras, etc. * Data Processing: Experience with data manipulation and processing using libraries like Pandas, NumPy, and Spark. * Model Deployment: Experience with model deployment frameworks and platforms (e.g., TensorFlow Serving, TorchServe, Seldon, AWS SageMaker, Google AI Platform, Azure Machine Learning). Databases: Experience with relational and NoSQL databases (e.g., SQL, MongoDB, Cassandra). * Version Control: Experience with Git and other version control systems. * DevOps: Familiarity with DevOps practices and tools. * Strong understanding of machine learning concepts and algorithms: Regression, Classification, Clustering, Deep Learning etc. * Soft Skills: * Excellent problem-solving and analytical skills. * Strong communication and collaboration skills. * Ability

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Job Title: – Manager - Technology Location: Remote Function/Department: Platform Engineering Position Summary The Technical Lead with 6-10 years of experience will oversee the development, maintenance, and optimization of software applications. This role requires a deep understanding of both front-end and back-end technologies with MERN stack and leadership skills to mentor and guide a team of developers. The ideal candidate should be passionate about technology, thrive in a collaborative environment, and has a proven track record of delivering high-quality software solutions. Responsibilities Lead the design, development, and deployment of large scale software applications using the MERN stack. Collaborate with product managers, architects and other stakeholders to understand requirements and translate into technical specifications. Provide technical guidance and mentor the team. Create and own High-Level Design, Low Level Design for each of the Software applications. Perform code reviews, maintain code quality, standard and provide constructive feedback to team members. Troubleshoot complex technical issues. Manage project timelines and deliverables. 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. Required Skills Strong proficiency in design, development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Proficiency in front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies. Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Cloud-based (AWS/Azure) deployment of models, performance monitoring and troubleshooting Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Excellent written and oral communication skills Ability to work effectively in a cross-functional team and proven ability to lead and mentor a team. Added advantage: Exposure to AI/ML frameworks in 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 skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Company Description NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com. Job Description NIQ is seeking a highly skilled and experienced Senior ML Engineer to join our dynamic team. As a Senior ML Engineer at NIQ, you will play a crucial role in developing and implementing advanced AI/GenAI models and algorithms to solve complex business problems. You will collaborate closely with cross-functional teams to design, build, and deploy scalable AI/GenAI solutions. Location: Chennai or Pune Responsibilities: Develop and implement AI/GenAI models and algorithms using Python programming language, jointly with knowledge about PyTorch/Tensorflow, Pandas, sklearn and similar AI/GenAI libraries Utilize ML fundamentals, including deep learning, optimization techniques, NLP, and Large Language Models (LLMs), to solve real-world problems Work closely with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end ML pipelines Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/GenAI solutions Optimize and fine-tune AI/GenAI models for performance and efficiency Collaborate with cloud computing teams to deploy AI/GenAI models on cloud platforms, preferably Azure Utilize SQL for data Extraction, Transformation, and Loading (ETL) processes Stay updated with the latest advancements in AI/GenAI Qualifications Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field Proven experience 5 years working as a Senior ML Engineer or similar role Strong proficiency in Python programming language In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, and LLMs Experience with cloud computing platforms (knowledge of Azure is a plus) Familiarity with SQL for data manipulation and analysis Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Ability to thrive in a fast-paced, dynamic environment Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

5 to 8 years of experience in AI/ML. At least 1 year of experience with Generative AI (GenAI). Strong understanding of machine learning algorithms and data processing techniques. Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Vertex). Proficiency in programming languages such as Python or R. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities Lead the implementation of AI/ML solutions to support tech and data transformation initiatives, specifically moving away from Oracle (Siebel). Utilize Generative AI to extract and transform business logic data from Oracle Siebel. Collaborate with cross-functional teams to integrate Vertex LLM and transform e-scripts (business logics) using Vertex. Develop and maintain AI/ML models to enhance data processing and analysis. Ensure the accuracy, efficiency, and scalability of AI/ML solutions. Provide technical guidance and support to team members and stakeholders.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 06th August 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

About Credit Saison India: Established in 2019, CS India is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population. Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. CS India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings. Currently, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B and an employee base of about 1,000 people. Credit Saison India (CS India) is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people. Based in Singapore, over 1,000 employees work across Saison’s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil. Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Roles & Responsibilities: Define and drive the long-term AI engineering strategy and roadmap aligned with the company’s business goals and innovation vision, focusing on scalable AI and machine learning solutions including Generative AI. Lead, mentor, and grow a high-performing AI engineering team, fostering a culture of innovation, collaboration, and technical excellence. Collaborate closely with product, data science, infrastructure, and business teams to identify AI use cases, design end-to-end AI solutions, and integrate them seamlessly into products and platforms. Oversee the architecture, development, deployment, and continuous improvement of AI/ML models and systems, ensuring scalability, robustness, and real-time performance. Own the full AI/ML lifecycle including data strategy, model development, validation, deployment, monitoring, and retraining pipelines. Evaluate and incorporate state-of-the-art AI technologies, frameworks, and external AI services (e.g., APIs, pre-trained models) to accelerate delivery and enhance capabilities. Establish and enforce engineering standards, best practices, and observability tools (e.g., MLflow, Langsmith) for model governance, performance tracking, and compliance with data privacy and security requirements. Collaborate with infrastructure and DevOps teams to design and maintain cloud infrastructure optimized for AI workloads, including GPU acceleration and MLOps automation. Manage project timelines, resource allocation, and cross-team coordination to ensure timely delivery of AI initiatives. Stay abreast of emerging AI trends, research, and tools to continuously evolve the AI engineering function. Required Skills & Qualifications: 10 to 15 years of experience in AI, machine learning, or data engineering roles, with at least 8 years in leadership or managerial positions Bachelor’s, Master’s, or PhD degree from a top-tier college in Computer Science, Statistics, Mathematics, or related quantitative fields is strongly preferred. Proven experience leading AI engineering teams and delivering production-grade AI/ML systems at scale. Strong expertise in machine learning algorithms, deep learning, NLP, computer vision, and Generative AI technologies. Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Keras, Hugging Face Transformers, LangChain, MLflow, and related tools. Solid understanding of data engineering concepts, ETL pipelines, and working knowledge of distributed computing frameworks (Spark, Hadoop). Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker). Familiarity with software engineering best practices including CI/CD, version control (Git), and microservices architecture. Strong problem-solving skills with a product-oriented mindset and ability to translate business needs into technical solutions. Excellent communication skills to collaborate effectively across technical and non-technical teams. Experience in AI governance, model monitoring, and compliance with data privacy/security standards. Preferred Qualifications: Experience building or managing ML platforms or MLOps pipelines. Knowledge of NoSQL databases (MongoDB, Cassandra) and real-time data processing. Prior exposure to AI in specific domains like banking, finance and credit experience is a strong plus. This role offers the opportunity to lead AI innovation at scale, shaping the future of AI-powered products and services in a fast-growing, technology-driven environment.

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research Centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics. Key Responsibilities: Internships at Sony Research India (SRI) are aimed at offering students with an opportunity to industry exposure and a production level project experience. The primary responsibility in this role will be to positively contribute to the growth and development of innovative technologies at SRI. During the internship, you will work closely with research scientists and other members in the team on various development and optimization tasks in object detection, tracking and recognition, video generation, content moderation, large vision models, etc. In addition, you’ll be expected to actively work on AI development activities daily, be it training, testing, fixing bugs or other routines for building a robust model. For this internship programme, we are seeking a talented and motivated candidate who is pursuing or has completed MS/MSc/MTech/PhD level degree, to join us as soon as possible , for a duration of at least 6 months. For this internship program, we are seeking candidates with demonstrable skills and knowledge in generative AI based 3D computer vision tasks such as video-driven 3D head generation, audio-driven head animation, expression conditioned 3D face generation, avatar creation, and 3D rendering techniques based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting. It is essential to have strong coding skill in Python and PyTorch, along with hands-on experience implementing generative models. Work Location: Remote work within India. Duration of the paid internship: The internship will be for 6 months starting August third week of 2025. The working hours are from 9:00 to 18:00 (Monday to Friday) fulltime. Essential Education: Candidates pursuing or has completed MS/MSc/MTech/PhD level degree in Computer Science, Electronics Engineering, Data Science, Information Science, Artificial Intelligence, Computer Applications or other closely related technical discipline, will be considered for the internship program. Must Have Skills: Prior experience with video- and audio-driven 3D head generation, or related tasks such as 3D facial reconstruction, lip-syncing animation, volumetric rendering, or avatar creation. Understanding of advanced generative techniques including Neural Radiance Fields (NeRF), 3D Gaussian Splatting, and other neural rendering techniques. Familiarity with generative AI architectures such as Diffusion Models, Transformers, and GANs, particularly applied to 3D vision tasks. Knowledge on efficient large vision models for various 3D computer vision tasks. Good to have Skills: Demonstrate research capabilities through relevant publication record in top-tier conferences like SIGGRAPH, CVPR, ICCV, ECCV . Strong knowledge and hands-on programming experience with Python and PyTorch, along with relevant ML/DL libraries for 3D computer vision and generative modelling. Our Values: Dreams & Curiosity: Pioneer the future with dreams and curiosity. Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct. Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices. Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.

Description We are seeking a skilled AI/ML Engineer with 4–6 years of hands-on experience in designing and deploying machine learning models, preferably within the clinical or healthcare domain. The ideal candidate will bring a deep understanding of data science techniques, clinical data processing, and regulatory awareness to help build impactful AI-driven healthcare solutions. Key Responsibilities Design, develop, and deploy ML/DL models tailored for clinical data applications (e.g., EHR, imaging, genomics). Preprocess and clean large, complex datasets, ensuring compliance with healthcare data standards (e.g., HL7, FHIR). Collaborate with clinical experts, data engineers, and product teams to understand and define ML problem statements. Evaluate model performance using appropriate statistical and domain-specific metrics. Implement pipelines for data ingestion, model training, and deployment in production environments (cloud/on-premise). Ensure AI/ML solutions adhere to privacy, security, and ethical standards (HIPAA, GDPR, etc.). Maintain thorough documentation and contribute to knowledge sharing within the team. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or a related field. 4–6 years of experience in machine learning and data science roles. Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn, etc.). Experience working with structured and unstructured clinical data. Familiarity with clinical terminologies (e.g., SNOMED CT, ICD-10) and healthcare interoperability standards. Experience with cloud platforms (AWS, GCP, or Azure) for ML model development and deployment. Preferred Qualifications Prior experience in developing AI models for diagnosis, risk prediction, or clinical decision support. Knowledge of regulatory and ethical considerations in clinical AI systems. Publications, patents, or contributions to open-source healthcare AI projects.

Role : Gen AI Developer Required Technical Skill Set (MustHave) : Gen AI / LLM /Agentic AI Desired Experience Range 4 to 8 Yrs Location of Requirement : PAN India Must-Have · Strong programming skills in Python with experience in building ML/NLP applications. · Hands-on experience with Deep Learning, Machine Learning, and Natural Language Processing. · Proficiency in working with LLMs (e.g., GPT,Gemini, LLaMA, Mistral) and RAG architecture. · Experience with Agentic AI frameworks and autonomous agent design. · Familiarity with FastAPI for building RESTful APIs. · Experience with CI/CD pipelines and deploying solutions on Azure Cloud, GCP and AWS · Solid understanding of data structures, algorithms, and software engineering principles. · Bachelor’s or master’s degree in computer science, AI, Data Science, or related field. · Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG pipelines from scratch · Expert-level proficiency and hands-on experience with LangChain and/or LlamaIndex for building complex LLM applications, including chains, agents, memory, and tool integration. Good-to-Have · Excellent Communication Skills · Strong Software Engineering Background (Productionizing the models) · Hands-on experience with data science tools · Problem-solving aptitude · Analytical mind and great business sense. Responsibility of / Expectations from the Role · Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures. · Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow. · Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems. · Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure. · Optimize model performance and ensure robustness in production environments. · Stay updated with the latest research and advancements in generative AI and deep learning. · Scalability & Performance: Ability to write efficient code and consider scalability and latency implications for Gen AI applications. · Containerization: Practical experience with Docker for packaging and deploying applications.

At Alkye, we are seeking a Senior Python Developer to join our dynamic team in Mohali. As a Senior Python Developer, you will play a crucial role in developing robust web applications, integrating front-end elements, maintaining software frameworks, and ensuring the creation of resuable and adapatable codebase. About Us We are a dynamic and innovative Digital Services company, specializing in cutting-edge technology solutions across web and app development, UIUX, AI-driven platforms, digital marketing, and data science. We enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to deliver the best digital products. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual and team contributions. Responsibilities: Develop and maintain web applications using flask, Django framework. Develop APIs using Django rest framework. Integrate front-end elements into applications to enhance user experience. Create and maintain various software frameworks to support application development. Write reusable and adaptable code to optimize application performance and scalability. Collaborate with the team to incorporate PyCharm as the preferred IDE for development projects. Qualifications: Bachelor's or Master's degree in Computer Science or relevant fields such as Engineering or Mathematics. Minimum 8 years of experience as a backend developer with solid experience in Python Frameworks with a strong emphasis on Django Framework. Experience working with SQL databases such as MySQL, PostgreSQL, etc. Knowledge of AWS, Git, and Docker is considered a plus. Experience with PyTorch and ML frameworks for machine learning tasks. Good understanding of software engineering principles, frameworks, and design patterns. Ability to work independently with attention to detail and quality. Strong collaboration skills with the ability to communicate effectively with both technical and non-technical stakeholders. Excellent analytical skills and problem-solving abilities. Demonstrated commitment to staying updated with the latest trends, technologies, and programming languages. If you are passionate about Python development, possess the required skills and experience, and thrive in a collaborative team environment, we encourage you to apply for this exciting opportunity at Alkye. What We Offer: Our commitment to being a remarkable workplace, offering meaningful employment where you can contribute to shared values. Delivering Memorable Moments. Joining Alkye India comes with a range of perks; Competitive packages, with a Monthly Bonus scheme for outstanding teamwork. Tailored development opportunities for everyone at all levels and all roles. The opportunity to join a fast-growing global company located in EMEA and APAC. Modern, spacious global offices, with opportunities to travel for top performers.

Data scientist who can think out of the box and expects more from their career. Research business domain and develop use-cases to support enterprise-wide AI/ML solutions. Model design, feature planning, system infrastructure, production setup and monitoring, and release management. Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. Experience in selecting features, building and optimizing classifiers using machine learning techniques. Prior experience with data visualization tools, such as D3.js, GGplot, etc.. Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc.. Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders. Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy. Work closely with product teams to implement algorithms with Python and/or R. Design and implement scalable predictive models, classifiers leveraging machine learning, data regression. Facilitate integration with enterprise applications using APIs to enrich implementations. Profile Required: Minimum 5 years of experience in designing/developing industrial IT solutions with Data Science Minimum 3-5 years of experience in developing and deploying machine learning, deep learning, NLP solutions. Very strong grasp of IT concepts with a strong algorithms/data structures background. Background building systems with a major machine learning libraries strong proficiency with libraries like scikit-learn, pandas, PyTorch/TensorFlow. Background in applying deep learning to real problems and knowledge of a major framework Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory. Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase. Should have prior experience in developing APIs, services using either C# or Java. Should have good awareness on entire machine learning/ predictive modeling & implementation. Proficient in Python, API integration, and ML libraries like Hugging Face Transformers, LangChain, and OpenAI API. Strong understanding of NLP techniques and model evaluation metrics. Experience deploying GenAI solutions in cloud environments (AWS/GCP/Azure). Familiarity with prompt tuning, RAG, embeddings, and vector stores. practical knowledge of MLOps practices (model versioning, deployment pipelines, monitoring). Hands on Experience in CI/CD , Devops Principle . Specific Context Opportunity to work with some of the best minds in a team and learn a lot on the technical front. Get mentored/groomed on the best practices followed in the software industry. "Internal Interfaces: - Team members, Technical leader, Business Analyst, Product Owners, External Interfaces: - Onshore team, Developers, Technical Lead, Business Analyst, End Users" Environment At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection. Why Join Us “We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.

Job Description: Hands-on experience working with SAS to Python conversions. Strong mathematics and statistics skills. Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Use case derivation and solution creation from structured/unstructured data Storytelling, Business Communication, and Documentation Programming Skills – SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning, and Model performance metrics MLOps, Data Pipeline, Data Engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure, and Databricks Optional - Databricks, Big Data -Basic knowledge of Spark, Hive Roles & Responsibilities: Responsible for SAS to python code conversion. Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skills Develop and deploy cloud-based applications, including LLM/GenAI, into production.

Job Description We are seeking a skilled and innovative AI Specialist to join our growing electric vehicle manufacturing team. You will play a key role in integrating artificial intelligence and machine learning technologies into various EV production, quality control, and performance optimization processes. Key Responsibilities Design and implement AI models for predictive maintenance, battery performance analysis, and production automation. Analyze data from EV components (battery, controller, motor) to improve system efficiency and safety. Work on intelligent automation tools for factory operations (robotics, vision systems, etc.). Use AI to forecast demand, optimize supply chain, and improve vehicle diagnostics. Collaborate with R&D, engineering, and production teams to identify opportunities for AI application. Evaluate and deploy computer vision models for defect detection in assembly lines. Continuously monitor and fine-tune AI models for performance improvements. Required Skills & Qualifications Bachelor’s/Master’s in AI, Machine Learning, Computer Science, Data Science, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, or OpenCV. Knowledge of embedded systems and IoT applications in automotive/EV industry is a plus. Experience working with industrial datasets and real-time sensor data. Familiarity with AI-powered automation and robotic systems. Strong problem-solving, analytical, and communication skills. Preferred Experience 2–5 years of experience in AI/ML roles, preferably in manufacturing, automotive, or EV sector. Hands-on experience with machine learning model deployment in a production environment. **Salary: As per candidate’s experience and knowledge Apply now by sending your resume to hr@anantev.com & 8585007706 Job Types: Full-time, Permanent Pay: ₹9,901.27 - ₹50,442.79 per month Benefits: Health insurance Provident Fund Ability to commute/relocate: Park Street, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Required) Language: English (Required) Hindi (Required) Bengali (Required) Location: Park Street, Kolkata, West Bengal (Required) Work Location: In person

Neev Systems is seeking a highly skilled and experienced Machine Learning Engineer to lead the design and implementation of cutting-edge ML solutions across our organization. You will be responsible for prototyping and taking models all the way from proof-of-concept to production deployment. This role requires a deep understanding of ML algorithms, data processing pipelines, model optimization, and production-grade engineering practices. Responsibilities Build and validate ML prototypes to solve real business problems Develop, test, and optimize ML models using structured and unstructured data Design and implement scalable data pipelines and model serving infrastructure Continuously monitor, improve, and re-train models in production Ensure reproducibility, versioning, and documentation of models and experiments Evaluate and select appropriate ML tools, frameworks, and technologies to meet business requirements. Oversee the full ML lifecycle including data preparation, model development, training, validation, deployment, and monitoring. Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or related field. 5+ years of professional experience with at least 3 years in machine learning and data science. Take at least one ML solution from idea to full-scale production deployment Strong programming skills in Python , with experience in ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost , etc. Deep understanding of ML architecture patterns , data pipelines , and distributed systems . Experience with any of cloud platforms like AWS, Azure, or GCP and cloud-native ML tools (SageMaker, Vertex AI, Azure ML). Proficiency in Docker , Kubernetes , and other containerization/orchestration tools.

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 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.

This position is posted by Jobgether on behalf of Aristocrat IT Solutions Pvt. Ltd. We are currently looking for a Virtual Assistant - Social Media Manager in India . This role offers a unique opportunity to contribute directly to cutting-edge research and development in AI and deep technology, while managing and enhancing the company's social media presence. The ideal candidate will work closely with innovative teams to support pioneering projects and share groundbreaking advancements with a wider audience. This position blends technical insight with creative communication, driving engagement and showcasing expertise across various platforms. The environment is dynamic, collaborative, and focused on shaping the future through technology. Accountabilities: Manage and optimize the company's presence across social media platforms including Facebook, Instagram, Twitter, and LinkedIn Conduct research and assist in the development and prototyping of AI and deep tech innovations Collaborate with cross-functional teams to integrate advanced technologies into practical applications Monitor industry trends and incorporate new findings into content and development activities Prepare research documentation and contribute to technical communication that makes complex ideas accessible Support creative content creation, including basic graphic design and video editing as needed Engage with online audiences to build brand awareness and foster community Promote a culture of innovation by encouraging continuous learning and problem-solving within the team Requirements Bachelor's degree in Computer Science, Engineering, or related field; advanced degrees (Master's or Ph.D.) preferred Experience in AI, machine learning, or related deep technology domains through projects, research, or employment Familiarity with social media platforms, their algorithms, posting guidelines, and best practices Programming skills in full stack web development, UI/UX design, Python, C++, or similar languages Knowledge of machine learning frameworks such as TensorFlow or PyTorch and data science tools Basic graphic design and video editing skills are advantageous Strong problem-solving ability, creativity, and passion for innovation Excellent communication skills, able to explain technical concepts clearly to diverse audiences Collaborative mindset with a willingness to work in interdisciplinary teams Benefits Opportunity to work on pioneering AI and deep tech projects with significant societal impact Culture that fosters innovation, professional growth, and continuous learning Competitive compensation and benefits package Supportive and inspiring work environment surrounded by passionate experts Exposure to cutting-edge technology and opportunities to publish and present findings Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job's core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest!

We are looking for a talented and passionate AI Engineer to join our team. The AI Engineer will be responsible for designing, developing, and deploying AI models and algorithms to solve complex problems and drive business value. The ideal candidate will have a strong background in machine learning, deep learning, and data science, along with excellent programming skills. Responsibilities Design, develop, and implement AI models and algorithms to solve real-world problems. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct data analysis and preprocessing to ensure high-quality input for AI models. Train, test, and validate AI models to ensure accuracy and performance. Deploy AI models into production environments and monitor their performance. Continuously improve AI models by incorporating new data and feedback. Stay up-to-date with the latest advancements in AI and machine learning technologies. Document AI models, processes, and results for knowledge sharing and future reference. Participate in code reviews and provide constructive feedback to peers. Requirements Proven experience as an AI Engineer, Machine Learning Engineer, or similar role. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical methods. Experience with LLMs (GPT-4, Llama-2) Experience with NLP and RAG(Retrieval-Augmented Generation) Proficiency in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. Familiarity with data preprocessing, feature engineering, and data visualization techniques. Familiarity with vector databases such as Pinecone and ChromaDB Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Experience with version control systems like Git. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Experience and Education 1- 6 Years Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.

Company Description CodeChavo is a global digital transformation solutions provider working closely with leading technology companies to make a significant impact through transformation. Powered by technology, inspired by people, and led by purpose, CodeChavo collaborates with clients from design to operation. With deep domain expertise and a future-proof philosophy, CodeChavo embeds innovation and agility into their clients’ organizations. We help companies outsource their digital projects and build quality tech teams. Role Description We’re looking for a skilled AI Engineer to join our growing team! If you're passionate about building intelligent systems, writing clean backend code, and deploying real-world ML solutions, this is for you. You’ll be responsible for developing secure, scalable web applications , designing APIs , and integrating ML/AI models into production . This role is ideal for engineers who love working at the intersection of backend systems and artificial intelligence. Key Responsibilities: Develop and maintain backend systems using Python and Django/Django REST Framework . Design and implement RESTful APIs and third-party integrations. Optimize applications for performance and security . Architect and manage relational (PostgreSQL/MySQL) and NoSQL (MongoDB) databases. Deploy ML/AI models into production using PyTorch/TensorFlow . Collaborate cross-functionally with DevOps, frontend, and product teams. Work with CI/CD tools (Docker, GitHub Actions, Jenkins). Translate ML research into production-ready services/APIs. Maintain high code quality with best practices in testing and modularity. Required skills: 4–6 years of experience in Python backend development. Expertise in Django and RESTful API design . Hands-on experience with PostgreSQL, MongoDB, or MySQL . Proficiency in Docker, Gunicorn, and Nginx . Strong understanding of machine learning and deep learning . Experience with generative AI , transformers , and agentic AI frameworks . Practical knowledge of PyTorch or TensorFlow (PyTorch preferred). Ability to deploy ML models as APIs or micro services. Nice to have: Familiarity with FastAPI or Flask . Experience with model deployment via TorchServe , ONNX , etc. Exposure to MLOps tools like MLflow , DVC , or AWS SageMaker .

Job Summary: We are seeking a talented and innovative AI/ML Engineer with strong experience in AWS and a keen interest in Generative AI (GenAI) . The ideal candidate should have a solid background in machine learning and deep learning, and a curiosity-driven mindset to explore, implement, and scale GenAI models. You will work on designing and deploying end-to-end AI/ML solutions, including experimenting with cutting-edge GenAI frameworks and tools. Key Responsibilities: Design and develop robust ML models, including traditional and deep learning approaches Build, train, fine-tune, and deploy Generative AI models (e.g., LLMs, diffusion models) for various use cases such as text, image, or code generation Utilize AWS services like SageMaker , Lambda , EC2 , S3 , and Glue to build scalable AI/ML solutions Create and automate ML pipelines using CI/CD and MLOps best practices Conduct data preprocessing, feature engineering, and EDA for model development Collaborate with cross-functional teams to translate business problems into ML solutions Stay updated with the latest trends in GenAI and propose innovative solutions using LLMs or transformer-based architectures (GPT, BERT, T5, etc.) Ensure model performance, fairness, and explainability throughout the lifecycle Required Skills & Qualifications: Bachelor's/Master’s degree in Computer Science, AI/ML, Data Science, or a related field 3+ years of hands-on experience in machine learning and deep learning using Python (TensorFlow, PyTorch, Hugging Face, etc.) Strong hands-on experience with AWS AI/ML services (SageMaker,Lambda, EC2, S3) Experience in deploying LLMs or transformer-based models in production Familiarity with GenAI tools like Hugging Face Transformers , LangChain , OpenAI API , Bedrock , or LLamaIndex Working knowledge of REST APIs, microservices, and containerized deployments (Docker, EKS, ECS) Proficient in MLOps tools such as MLflow, SageMaker Pipelines, or Kubeflow Strong communication skills and ability to present complex ML concepts clearly Preferred Qualifications: Experience with prompt engineering, fine-tuning, or RAG (Retrieval-Augmented Generation) techniques AWS Machine Learning Specialty certification or equivalent Exposure to NLP, computer vision, or multi-modal GenAI models Contributions to open-source GenAI projects or research

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Role Overview The Senior AI Scientist is a technical role responsible for driving the development, and deployment of advanced AI components, models and systems. With 7+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, and enterprise-grade implementation across foundational models, generative AI, and multi-modal applications. The individual is expected to contribute deep technical expertise, execute on complex AI initiatives. The ideal candidate combines a strong AI solution development experience, and collaboration across cross-functional business, product and other teams.Responsibilities1. Generative & Agentic AI Build and deploy GenAI models for text generation and content automation. Experience on working latest AI stacks like Nvidia- Nemo, NIM Microservices, Unsloth, Pytorch, Tensorflow etc. Develop agentic AI systems with autonomous task planning and decision-making capabilities.2. Large Language Models (LLMs) Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, Unsloth etc frameworks Establish the best practices for LLMOps, including prompt engineering and monitoring. Develop solution based on latest coding standards like Pep-83. Deep Learning and NLP components Experience in developing like QnA, chatbots, Image/Video/Audio processing, OCR based components like Extraction etc. Experience in designing and implementing end-to-end pipelines for Retrieval-Augmented Generation (RAG), including document indexing, retrieval mechanisms Experience in evaluating AI solutions using appropriate metrics Skills1. Experience in any one Python/Java/R/.Net software languages. Experience in one of databases like SQL/MongoDB etc.2. Experience in AI stacks like Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc.3. Experience in MLOps and AI deployment infrastructure.4. Experience in AWS/Azure/Google Cloud Services(anyone).5. Knowledge of responsible AI practices, including bias mitigation and ethical AI useQualifications & Educational Requirements1. Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 7+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.3. Experience in developing AI-driven solutions, with a deep understanding of the entire AI model lifecycle, from design to deployment and maintenance.4. Desired good communication skills, desire to learn and innovate new solutions in AI domain. Qualifications Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 7+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.

About Company: Condé Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting over 100 million consumers across its industry-leading print, digital, and video brands. Condé Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Condé Nast. Our mission is not only to inform readers but to ignite and nourish their passions. As a member of the Data Science and Machine Learning Engineering (DS/MLE) team you will be the technical expert for a team that builds models for initiatives such as image recognition, recommender systems, NLP, LLMs, segmentation, and user behaviors. About Responsibilities: Responsibilities include, but are not limited to: Participate in model design, testing, and execution Work closely with data engineers and machine learning engineers to deliver products and analyses Develop advanced machine learning algorithms and proof of concepts Experiment and Innovate in applications of machine learning to Conde Nast’s Business problems Provide technical expertise to junior team members MINIMUM QUALIFICATIONS Applicants should have a degree (B.S. or higher) in technical discipline or relevant professional experience Bachelor's with 4-8 years of machine learning experience in industry/academia Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.) NLP/LLMs experience strongly preferred Experience in statistical analysis and experiment design Software development skills with proficiency in Python Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn Strong communication skills including to non-technical audiences Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team