1380 Deep Learning Jobs - Page 10

Lead AI/ML at Rely Healthtech Company Overview Rely Health Tech is a pioneering healthcare technology company dedicated to transforming healthcare management through innovative, customized Hospital Information System (HIS) solutions. Our advanced modules, including HR, Supply Chain Management (SCM), Patient Management, CRM, RCM, and AI-driven agents, empower healthcare providers with streamlined operations and enhanced clinical decision support. By integrating cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) technologies, we deliver scalable, secure, and robust solutions that improve patient care and operational efficiency. As we expand geographically and diversify our product offerings, we are seeking a visionary leader to drive our AI/ML initiatives. Role Overview We are looking for an experienced Head of AI/ML to join our team in Gurugram for a full-time, on-site role. This leadership position will spearhead the development and execution of our AI/ML strategy, driving innovation in healthcare technology. The successful candidate will oversee software development, manage IT projects, define IT strategies and architectures, and lead product development initiatives to deliver transformative solutions. Key Responsibilities Develop and implement a comprehensive AI/ML strategy aligned with Rely Healthtechs vision and goals. Lead end-to-end AI/ML projects, from ideation to deployment, ensuring high-quality deliverables. Oversee software development teams, fostering a culture of innovation and collaboration. Define and implement IT strategies and architectures to support scalable, secure, and efficient systems. Drive product development initiatives, integrating AI/ML to enhance clinical and operational outcomes. Collaborate with cross-functional teams, including product, engineering, and clinical stakeholders, to deliver impactful solutions. Stay abreast of industry trends and emerging technologies to maintain a competitive edge. Qualifications Experience : Minimum of 10 years in software development, with 3-5 years specifically in AI/ML technologies. Technical Expertise : Strong proficiency in AI/ML frameworks, algorithms, and tools. Leadership : Proven track record in leading high-performing teams and managing complex IT projects. Strategic Vision : Expertise in defining IT strategies and architectures for scalable systems. Product Development : Hands-on experience in driving end-to-end product development cycles. Communication : Exceptional leadership and communication skills to engage with diverse stakeholders. Collaboration : Ability to work effectively with cross-functional teams in a fast-paced environment. Industry Knowledge : Exposure to the healthcare IT sector is a strong advantage. Education : Masters degree in Computer Science, Data Science, or a related field. Why Join Rely Health Tech? Be part of a rapidly growing healthcare technology company with global ambitions. Lead transformative AI/ML initiatives directly impacting patient care and operational excellence. Work in a collaborative, innovative environment with opportunities for professional growth. Contribute to cutting-edge solutions that redefine healthcare management. Location Gurugram, India (On-site) How to Apply Ready to shape the future of healthcare with AI/ML? Visit our website at www.relyhealthtech.com to learn more about our mission and solutions. To apply, please share your resume and a cover letter via LinkedIn or email us at hr@relyhealthtech.com. Join Rely Health tech and lead the charge of revolutionizing healthcare technology! Rely Health Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Role & responsibilities Key Responsibilities: Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques. Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges. Design, develop, test, and deploy scalable AI solutions in production environments (a plus) Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solutions. Communicate findings and insights effectively to both technical and non-technical stakeholders. Continuously improve existing AI models and algorithms to enhance their accuracy and efficiency Stay up to date with the latest advancements in AI, machine learning, and deep learning, and apply them to client projects. Contribute to the development and maintenance of AI infrastructure and tools. Qualifications: Bachelors or masters degree in Statistics, Computer Science, Engineering, or a related field Corporate Finance knowledge/interest is a plus. Familiarity with Agile methodologies and experience working in Agile teams. A product improvement mindset, with a focus on iterating and enhancing AI solutions. Minimum of 3 years of work experience in data science or a related field with a focus on AI Strong knowledge of AI techniques (knowledge of Rag Implementation and Agents) including machine learning, deep learning, and natural language processing Proficiency in Python and related libraries (e.g., Pandas, NumPy, scikit-learn, streamlit) is mandatory. Proficiency in querying language like SQL Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) Strong problem-solving skills and attention to detail Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields. A proactive learning attitude and willingness to stay current with industry trends and technologies. Experience working in a collaborative team environment. Strong development skills, including software engineering best practices (e.g., version control, testing, code reviews) Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com

Experience: 1yr- 5yrs Salary: As per company norms Location: Chinchwad, Pune - Maharashtra Joining: Immediate Industry Type: Education / Training Department: Trainer/ Teaching Faculty Work Mode: Work From Office (Full time Job) Salary: As per the company norms Notice Period : Immediate Job Description : We are looking for an experienced and dynamic Data Science Trainer to join our team. The ideal candidate will be responsible for designing and delivering training sessions on business analytics concepts, tools, and applications. You will equip learners with the skills needed to interpret data, derive insights, and make strategic business decisions. Skills: Power BI, Advance Excel, SQL, Machine learning , Artificial Intelligence, Python Responsibilities and Duties - Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda & execute training sessions Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements.. (Note: PART TIME WORKER PLEASE DO NOT APPLY) Interested candidates can drop their CV on apardeshi@sevenmentor.com OR contact on 8806178325

Role/Designation: Data Scientist Location: Gurgaon Level/ Band: Band C (Manager/ Sr. Manager) Brief about the role/ team/ candidate requirement: We are looking for a motivated and highly skilled Data Scientist to join our Flight Safety team. This role will be pivotal in using advanced data analytics and machine learning techniques to enhance flight safety decisions and processes. The candidate will work with time-series, multi-variate data to detect anomalies, identify patterns, and build predictive models that support safety management. The ideal candidate should have a strong foundation in data science, machine learning, and deep learning techniques, along with expertise in applying these skills in the aviation safety domain. The candidate will play a key role in developing algorithms, performing exploratory data analysis, and utilizing artificial intelligence tools to forecast potential safety risks, providing valuable insights for strategic safety decisions. Qualification & Experience: Educational Requirements: Engineering graduate with a specialization in Data Science or a related field. Completion of a Data Scientist course or equivalent certification. Experience: A minimum of 6 years of hands-on experience working directly with data, particularly in the context of data science and machine learning. Skill set: Data analysis Anomaly detection Machine learning Big data analytics Programming skills Job responsibilities: Data analysis expertise: Ability to conduct exploratory data analysis to uncover patterns, trends, and insights from complex datasets. Anomaly detection: Expertise in anomaly detection techniques for time-series, multi-variate data, with a focus on identifying outliers and irregular behavior. Machine learning and deep learning: Strong understanding of data science methodologies, machine learning algorithms, and deep learning architectures such as Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Convolutional Neural Networks (CNN). Big data analytics: Proficient in utilizing AI and machine learning techniques for big data analytics, with the goal of predicting and mitigating potential safety risks. Programming skills: Expertise in Python and MATLAB for data manipulation, modeling, and algorithm development. Algorithm development: Strong ability to formulate custom algorithms tailored to specific requirements, ensuring accurate results in the context of flight safety and operational excellence. Data collection: Proficiency in gathering and preprocessing data from various sources to ensure high-quality datasets for analysis and modeling.

Job Title : Python - AI/ML Developer Job Type - Full Time, Permanent Work Type - Work from Office Location - Chennai. Job Description We are seeking highly skilled and motivated Python Developers with AI/ML experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI. Key Responsibilities: Design, develop, and deploy scalable AI/ML solutions and prototypes. Build data pipelines, clean datasets, and engineer features for training models. Apply deep learning, NLP, and classical ML techniques. Integrate AI models into backend services using Python (e.g., FastAPI, Flask). Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers). Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT). Stay current with advancements in AI/ML and suggest opportunities for innovation. Required Skill Set : Technical Skills: Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn. AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have). NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search. Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. Backend Development: FastAPI or Flask for model deployment and REST APIs. Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets. Version Control: Git and GitHub. Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred. Nice to Have (Optional): Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen). Soft Skills: Strong problem-solving and analytical thinking. Eagerness to experiment and explore new technologies. Excellent communication and teamwork skills. Ability to work independently in a fast-paced, dynamic environment. Innovation mindset with a focus on rapid prototyping and proof-of-concepts. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus.

About Oceaneering: Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries. Role Summary: The Principal Data Scientist will develop Machine Learning and/or Deep Learning based integrated solutions that address customer needs such as inspection topside and subsea. They will also be responsible for development of machine learning algorithms for automation and development of data analytics programs for Oceaneerings next generation systems. The position requires the Principal Data Scientist to work with various Oceaneering Business units across global time zones but also offers the flexibility to work in a Hybrid Work-office environment. Responsibilities: Lead and supervise a team of moderately experienced engineers on product/prototype design & development assignments or applications. Work both independently and collaboratively to develop custom data models and algorithms to apply on data sets that will be deployed in existing and new products. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Build data models and organize structured and unstructured data to interpret solutions. Prepares data for predictive and prescriptive modeling. Architect solutions by selection of appropriate technology and components Determines the technical direction and strategy for solving complex, significant, or major issues. Plans and evaluates architectural design and identifies technical risks and associated ways to mitigate those risks. Prepares design proposals to reflect cost, schedule, and technical approaches. Recommends test control, strategies, apparatus, and equipment. Develop, construct, test, and maintain architectures. Lead research activities for ongoing government and commercial projects and products. Collaborate on proposals, grants, and publications in algorithm development. Collect data as warranted to support the algorithm development efforts. Work directly with software engineers to implement algorithms into commercial software products. Work with third parties to utilize off the shelf industrial solutions. Algorithm development on key research areas based on clients technical problem. This requires constant paper reading, and staying ahead of the game by knowing what is and will be state of the art in this field. Ability to work hands-on in cross-functional teams with a strong sense of self-direction. REQUIRED Bachelors degree in Electronics and Electrical Engineering (or related field) with ten or more years of past experience working on Machine Learning and Deep Learning based projects OR Masters degree in Data Science (or related field) with eight or more years of past experience working on Machine Learning and Deep Learning based projects DESIRED Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc. Proficient in Object Oriented Analysis, Design and Programming Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc. DESIRED Experience/Knowledge: Strong knowledge of advanced statistical functions: histograms and distributions, Regression studies, scenario analysis etc. Proficient in Object Oriented Analysis, Design and Programming Strong background in Data Engineering tools like Python/C#, R, Apache Spark, Scala etc. Prior experience in handling large amount of data that includes texts, shapes, sounds, images and/or videos. Knowledge of SaaS Platforms like Microsoft Fabric, Databricks, Snowflake, h2o etc. Background experience of working on cloud platforms like Azure (ML) or AWS (SageMaker), or GCP (Vertex), etc. Proficient in querying SQL and NoSQL databases Hands on experience with various databases like MySQL/PostgreSQL/Oracle, MongoDB, InfluxDB, TimescaleDB, neo4j, Arango, Redis, Cassandra, etc. Prior experience with at least one probabilistic/statistical ambiguity resolution algorithm Proficient in Windows and Linux Operating Systems Basic understanding of ML frameworks like PyTorch and TensorFlow Basic understanding of IoT protocols like Kafka, MQTT or RabbitMQ Prior experience with bigdata platforms like Hadoop, Apache Spark, or Hive is a plus.

As an AI Developer, you will be part of a dynamic team working on innovative projects involving machine learning, deep learning, natural language processing, and computer vision. You ll collaborate with senior engineers and data scientists to build intelligent systems and contribute to the development of AI-based solutions. Responsibilities: Assist in developing and implementing AI/ML models and algorithms. Work with large datasets to preprocess, clean, and prepare for training models. Support in integrating AI capabilities into products and services. Participate in code reviews, testing, and debugging. Stay up-to-date with emerging trends in AI, ML, and data science. Document processes, models, and results clearly and efficiently. Requirements: Bachelor s degree in Computer Science, Data Science, AI, or a related field. Strong understanding of Python and libraries such as NumPy, pandas, scikit-learn, etc. Basic knowledge of machine learning algorithms and concepts. Familiarity with AI frameworks like TensorFlow or PyTorch (preferred). Good problem-solving skills and a willingness to learn.

Key Responsibilities Hands-on Development: Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques. Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic Ai. Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Design and deploy NLP models and techniques, including text classification, RNNs, CNNs, and Transformer-based models like BERT. Ensure robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring. Technical Proficiency: Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python. Leverage cloud platforms and services for AI/ML, especially AWS, with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3, and other AWS resources. Mentorship: Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth. Provide technical guidance and support, helping team members overcome challenges and achieve project goals. Set technical direction and strategy for AI/ML projects, ensuring alignment with business goals and objectives. Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning. Strategic Advisory: Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and products. Provide strategic insights and recommendations to support decision-making processes. Communicate effectively with stakeholders at various levels, including technical and non-technical audiences. Qualifications Bachelor s degree in a relevant field (e. g. , Computer Science) or equivalent combination of education and experience. Typically, 8-10 years of relevant work experience in AI/ML/GenAI 15+ years of overall work experience. With proven ability to manage projects and activities. Extensive experience with generative AI technologies, including RAG, Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic AI Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Extensive experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Strong knowledge of natural language processing (NLP) techniques and models, including Transformer-based models like BERT. Proficient programming skills in Python and experience with cloud platforms like AWS. Experience with AWS Cloud Resources, including AWS Sagemaker, Lambda, DynamoDB, S3, etc. , is a plus. Proven experience leading a team of data scientists or machine learning engineers on complex projects. Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines. Excellent communication skills and the ability to convey complex technical concepts to diverse audiences. Preferred Qualifications Experience in setting technical direction and strategy for AI/ML projects. Experience in the Insurance domain Ability to mentor and coach junior team members, fostering growth and development. Proven track record of successfully managing AI/ML projects from conception to deployment.

Company RNTBCI PL Job Description Enable AI adoption in various areas of the organisation Manage a team of data analysts and data scientists Competency development - d eveloping p eople through c oaching and m entoring in Computer Vision and Deep Learning Successfully manag e end to end delivery of data models ( CV & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide all Computer Vision, Image and Video Analytics projects. Keep up with current trends and build competency in team with PoC s / P oC s /Prototypes Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems

Enable AI adoption in various areas of the organisation Manage a team of data analysts and data scientists Competency development - d eveloping p eople through c oaching and m entoring in Computer Vision and Deep Learning Successfully manag e end to end delivery of data models ( CV & DL) including architecture, infra. needs, resourcing, budgeting and prioritisation Lead and Guide all Computer Vision, Image and Video Analytics projects. Keep up with current trends and build competency in team with PoC s / P oC s /Prototypes Lead discussions with business stakeholders Build Business problem/need to Data Science problem statement and solution approach Align data projects with organizational goals Job Family Information Technologies & Systems Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

SUMMARY We are seeking a Machine Learning Analyst with a strong foundation in Engineering or a related Quantitative Sciences discipline. While prior experience in Machine Learning is not mandatory, candidates with exposure to Machine Learning and Deep Learning (if any) are expected to demonstrate a rigorous understanding of the concepts they are familiar with. The ideal candidate must be a quick learner and demonstrate strong analytical skills, clear thinking and structured problem-solving, strong quantitative aptitude, a willingness to learn, high self-motivation, and a diligent work ethic. ABOUT US Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellow PRE-REQUISITES ML Analyst position is open to all with prior training in Engineering or any related Quantitative Sciences discipline No prior experience in Machine Learning or Deep Learning is required Candidates with exposure to ML/DL (if any) are expected to have a clear and rigorous understanding of the concepts they are familiar with Strong skills in data handling, and logical problem-solving Demonstrates a quick learning ability, and a strong work ethic Willingness to take on any task, learn new tools, and adapt to evolving project needs ROLES & RESPONSIBILITIES Work closely with data to support the development of ML and DL solutions Conduct experiments under guidance and report results reliably Learn to derive insights from experimental outcomes and determine appropriate next steps Prepare, curate, and analyse datasets for training and evaluation Monitor incoming data streams and perform regular quality checks Assist in training and inference of ML models, including deep learning architectures Contribute to well-documented and maintainable codebases Document work clearly and consistently with high standards Communicate and present experimental findings and results clearly within the team Learn and apply best practices across ML development, coding, documentation, and experimentation Collaborate effectively with project teams to meet milestones and deliverables Proactively seek help and feedback when needed Work efficiently with tools like Unix, VS Code, GitHub, and Docker Develop proficiency with common ML tools and libraries such as Pandas, Scikit-learn, PyTorch, Excel (pivot tables), Matplotlib, Weights & Biases DESIRED COMPETENSIES Demonstrates curiosity, humility, and a strong motivation to learn and grow Takes full ownership of tasks; highly diligent, detail-oriented, and accountable Willing to engage in all types of work from data cleaning and exploration to debugging and tooling Comfortable sitting with raw data to explore, understand and derive insights, and not just focused on modelling Proactively seeks guidance and independently builds knowledge when needed Approaches every task with a quality-first mindset; no task is considered beneath them Identifies recurring patterns and abstracts them into reusable, generalisable workflows Contributes across the entire ML lifecycle including data preparation, experimentation, and analysis Selects and applies appropriate tools; builds efficient, reliable, and repeatable processes Maintains a high standard of error-free work; reviews and validates work thoroughly Collaborates effectively with cross-functional teams Communicates clearly and constructively, with an emphasis on precision and clarity We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability.

Role & responsibilities Key Responsibilities Design, develop, and optimize machine learning models for various business applications. Build and maintain scalable AI feature pipelines for efficient data processing and model training. Develop robust data ingestion, transformation, and storage solutions for big data. Implement and optimize ML workflows, ensuring scalability and efficiency. Monitor and maintain deployed models, ensuring performance, reliability, and retraining when necessary Qualifications and Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 3.5 to 5 years of experience in machine learning, deep learning, or data science roles. Proficiency in Python and ML frameworks/tools such as PyTorch, Langchain Experience with data processing frameworks like Spark, Dask, Airflow and Dagster Hands-on experience with cloud platforms (AWS, GCP, Azure) and ML services. Experience with MLOps tools like ML flow, Kubeflow Familiarity with containerisation and orchestration tools like Docker and Kubernetes. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills. Preferred candidate profile

Job Description: Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning. Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology. Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images. To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents. Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc. Assign tasks to team members and monitor progress and performance management of the team members Lead module development, production support and maintenance activities Monitor, track and analyse module control metrics Candidate Profile: Academic background: PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background) B. Tech. / B.E. with exceptional academic/professional background Experience (Industrial / R&D) 6+ years of experience Specialization / Domain knowledge: Image Processing, Pattern Recognition, Computer Vision Machine Learning, Deep Learning Experience with Medical Image Processing is an added advantage Technical Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms Strong programming knowledge in any of C, C++, Python, JAVA etc. Hands-on experience in using Deep Learning frameworks and libraries Concepts of parallel architecture on GPU is an added advantage Key Sills : Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Neural Network To know more about us, do visit us at https://lnkd.in/egFmBSG4. Follow us on - https://www.facebook.com/airamatrix https://twitter.com/airamatrix

We are seeking an experienced and highly skilled Senior Data Scientist to drive data-driven decision-making and innovation. In this role, you will leverage your expertise in advanced analytics, machine learning, and big data technologies to solve complex business challenges. You will be responsible for designing predictive models, building scalable data pipelines, and uncovering actionable insights from structured and unstructured datasets. Collaborating with cross-functional teams, your work will empower strategic decision-making and foster a data-driven culture across the organization. Role & responsibilities 1. Data Exploration and Analysis: Collect, clean, and preprocess large and complex datasets from diverse sources, including SQL databases, cloud platforms, and APIs. Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data. Develop meaningful KPIs and metrics tailored to business objectives. 2. Advanced Modeling and Machine Learning: Design, implement, and optimize predictive and prescriptive models using statistical techniques and machine learning algorithms. Evaluate model performance and ensure scalability and reliability in production. Work with both structured and unstructured data for tasks such as text analysis, image processing, and recommendation systems. 3. Data Engineering and Automation: Build and optimize scalable ETL pipelines for data processing and feature engineering. Collaborate with data engineers to ensure seamless integration of data science solutions into production environments. Leverage cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage. 4. Data Visualization and Storytelling: Communicate complex analytical findings effectively through intuitive visualizations and presentations. Create dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly). Translate data insights into actionable recommendations for stakeholders. 5. Cross-functional Collaboration and Innovation: Partner with business units, product teams, and data engineers to define project objectives and deliver impactful solutions. Stay updated with emerging technologies and best practices in data science, machine learning, and AI. Contribute to fostering a data-centric culture within the organization by mentoring junior team members and promoting innovative approaches. Preferred candidate profile Proficiency in Python, R, or other data science programming languages. Strong knowledge of machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch). Advanced SQL skills for querying and managing relational databases. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), preferably MS Azure. Familiarity with data visualization tools such as Power BI, Tableau, or equivalent, preferably MS Power BI. Analytical and Problem-solving Skills: Expertise in statistical modeling, hypothesis testing, and experiment design. Strong problem-solving skills to address business challenges through data-driven solutions. Ability to conceptualize and implement metrics/KPIs tailored to business needs. Soft Skills: Excellent communication skills to translate complex technical concepts into business insights. Collaborative mindset with the ability to work in cross-functional teams. Proactive and detail-oriented approach to project management and execution. Education and Experience: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, advanced analytics, or a similar field. Proven track record of deploying machine learning models in production environments. Perks & Benefits Best as per market standard. Work from home opportunity. 5 days working. Shift Timing 2PM-11PM IST (Flexible hours)

Junior AI/ML Engineer Job Summary: A Junior AI/ML Engineer focuses on implementing and optimizing machine learning models and AI systems. They work on model deployment, performance tuning, and integration with applications. Job Title: Junior AI/ML Engineer Location: Chennai, Hyderabad, Bangalore Experience: o-3 Key Responsibilities: Assist in designing and training ML models. Optimize model performance and scalability. Implement data pipelines for training and inference. Deploy models using cloud platforms or APIs. Collaborate with software engineers and data scientists. Monitor and maintain deployed models. Required Skills: Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Understanding of model lifecycle and deployment. Familiarity with cloud platforms (AWS, GCP, Azure). Knowledge of REST APIs and containerization (Docker). Strong problem-solving and debugging skills. Qualifications: Bachelors degree in Computer Science, AI, Machine Learning, or related field. Hands-on experience through projects or internships. Tools & Technologies: Python, TensorFlow, PyTorch Docker, Kubernetes (basic) AWS/GCP/Azure ML Flow, FastAPI Git, CI/CD tools

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

About the Roles As a Technical Lead, you will play a pivotal role in guiding the development and deployment of cutting-edge AI solutions within our organization. You will lead a high-performing team of AI/ML engineers and collaborate closely with cross-functional stakeholders to deliver innovative generative AI, NLP, and intelligent automation capabilities. Your expertise will ensure technical excellence, scalable architecture, and successful delivery of strategic AI initiatives aligned with organizational goals. Lead the development and deployment of cutting-edge AI solutions within the organization. Guide and mentor a high-performing AI/ML engineering team. Architect scalable, reliable, cloud-native AI solutions adhering to industry standards. Drive end-to-end development of flagship AI projects, including POCs and prototypes. Collaborate with cross-functional teams to define requirements and ensure technical feasibility. Lead R&D initiatives to explore emerging Gen AI, NLP, and automation technologies. Ensure best practices in Agile, DevOps, and CI/CD are adopted across the team. Oversee the deployment of AI models on cloud platforms like AWS, Azure, or GCP. Optimize, tune, and validate ML/NLP models for production readiness. Maintain high standards for technical documentation, reporting, and knowledge sharing. Act as the technical interface for stakeholders, communicating project progress and risks. About You Possess 5 to 8 years of AI/ML experience, with 2+ years in a leadership or senior role. Have proven expertise in designing and deploying cloud-native AI applications. Proficient in Python and libraries such as TensorFlow, PyTorch, and NLP tools. Deep understanding of AI/ML concepts, including agentic AI, Gen AI, OCR, NLP, and retrieval tasks. Strong leadership skills with the ability to motivate and guide technical teams. Experienced in creating scalable architectures, workflows, and process flows. Skilled in troubleshooting, analytical thinking, and problem-solving. Excellent communicator capable of explaining complex concepts to non-technical stakeholders. Stay updated with industry trends and lead innovative R&D efforts in AI and automation. Candidate should be graduate /post-graduate with strong academic record and minimum of 9-10 years of experience with 4-6 years working as Technical Lead. Experience in .Net and SQL skills at minimum 2-3 years. Engineering from a Tier-1/Tier-2 institute will be preferred. #LI-AD1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Requirements: Bachelors or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python, R, or a similar programming language. Experience with SQL and data querying from relational databases. Strong foundation in statistics, machine learning, and data modeling. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Excellent problem-solving and communication skills.

Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson ReutersDo you have a passion for ensuring AI systems are robust, reliable, and responsible We are looking for a highly motivated individual with strong analytical and technical skills for the position of AI Validation Engineer. You will play a critical role in evaluating the performance, accuracy, and fairness of our AI solutions, including the AI Assistant and its associated skills. You will help ensure that our AI systems meet the highest standards of quality and align with our responsible AI principles. About the Role In this opportunity as AI Governance and Ethics Engineer, you will Collaborate with data scientists, AI engineers, and product managers to understand AI system requirements and functionalities. Develop and execute comprehensive test plans to assess the performance, accuracy, robustness, and fairness of AI models and applications. Design and implement automated testing frameworks for efficient and continuous AI validation. Analyze AI model outputs, identify potential biases, errors, or limitations, and provide actionable feedback to the development team. Contribute to the development and implementation of responsible AI guidelines and best practices within the organization. Stay abreast of the latest advancements in AI validation techniques and technologies. Document testing procedures and results clearly and concisely. Collaborate with stakeholders to address and resolve identified AI validation issues. About You You're a fit for the role of AI Governance and Ethics Engineer if your background includes Act as a model governance consultant and educator on model projects Ensure end-end model flows within these projects are aligned and controlled effectively Ensure that Policies, Standards and Guiding Principles are applied within the solution designs Work with cross-functional model stewards to monitor and manage model health within your portfolio Take ownership of the model issue management and resolution process within your portfolio Collaborate with members in the business domains to encourage and ensure Responsible AI practices, processes and procedures are followed Drive education/behavioural change in the wider TR community, towards a de-centralized data rights & responsibilities culture Work with the compliance partners (Operations & Assurance, Policy & Ethics, Stewardship, legal) to draft or amend policies, standards and model control proposals, to meet business model needs Work with the Ai Enablement team to drive best practices and compliance with model policies and standards within your portfolio Identify opportunities to improve efficiencies, advancements and automation #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

We aspire to be world-leader in innovative telecom and security solutions by offering cutting-edge, high-performance telecom and security solutions to business customers. Our Mission is simple. To prove that Indian engineers can design, develop, and manufacture world-class technology products for customers across the world, right from India. Join our team of like-minded engineers, applied researchers, and technocrats with the will, courage, and madness to achieve this mission! Why work at Matrix Matrix fully integrates software and hardware across its products. Engineers here collaborate more effectively to create solutions that solve real problems and make an impact. We are responsible for every nut, bolt, and line of code in our products! As an engineer, your involvement will be critical in the entire lifecycle of a product - right from ideation-development-production-deployment. Get to feel the sense of accomplishment that comes with creating something that solves a real and pressing problem and is used by scores of customers. Role Computer Vision Engineer/Sr. Engineer- (IVA/AI) Function Software Development - IVA / Computer Vision Work Location Vadodara, Gujarat Who are you You are a dynamic and solution driven Software Engineer specializing in Intelligent Video Analytics, with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. Experience 2+ Years Qualification B.E/B.tech/M.E/ M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE)or related field Technical Skills Required : Good experience of Deep Learning/Computer Vision projects. Working exposure with Neural networks, CNN i.e. Convolutional Neural Network (Design, Training, Inference). Experience building and optimizing libraries for fast computer vision Experience curating data, creating and optimizing models, and running experiments Expert knowledge of the principles, algorithms, and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc. Experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras Experience porting and optimizing models and algorithms for different hardware platforms Superhuman thirst for learning including scouting for ideas and keeping up-to-date with advancements in the field Good to have skills : Good to have programming skills using Python and C++ Any exposure to projects like Object Detection/Motion Detection/Face Recognition is good to have. Experience working with multiple video streams for simultaneous integration into machine learning algorithms Experience optimizing deep learning models for embedded form factors. How your day might look like The Engineer- Computer Vision is a critical part of our internal Computer Vision/Video Analytics team. This team specializes in applied research and is central to the perception algorithms deployed across our products. This team partners with our hardware, software, and platforms teams to help bring our products and solutions to life. An ideal candidate for this role will lead in the creation of systems, algorithms, and optimizations for all things computer vision This includes leading and mentoring a team of engineers who help with different aspects of the task. Collaborate with the team to understand project requirements and objectives. Design and implement algorithms using C/C++, OpenCV, and TensorFlow. Integrate video analytics solutions with existing systems or platforms. Participate in design reviews and brainstorming sessions with cross-functional teams. Execute AI algorithms using various platform specific frameworks like TensorRT, TensorFlow Lite etc. Formulate program specifications and basic prototypes. Efficiently Develop PoC on Algorithms Performance Centric implementation practices. Implement low cost algorithm modules as per need. Troubleshoot issues and provide technical support during integration and deployment phases. Research new technologies and methodologies to enhance video analytics capabilities. Document your work, including writing code documentation or preparing technical reports. What we offer Opportunity to work for an Indian Tech Company creating incredible products for the world, right from India Be part of a challenging, encouraging, and rewarding environment to do the best work of your life Competitive salary and other benefits Generous leave schedule of 21 days in addition to 9 public holidays, including holiday adjustments to convert weekends into long weekends 5-day workweek with 8 flexi-days months, allowing you to take care of responsibilities at home and work Company-paid Medical Insurance for the whole family (Employee+Spouse+Kids+Parents). Company paid Accident Insurance for the Employee On-premise meals, subsidized by the company If you are an Innovative Tech-savvy individual, Look no further. Click on Apply and we will reach out to you soon!

About the Role: Grade Level (for internal use): 12 Lead Agentic AI Developer LocationGurgaon, Hyderabad and Bangalore : A Lead Agentic AI Developer will drive the design, development, and deployment of autonomous AI systems that enable intelligent, self-directed decision-making. Their day-to-day operations focus on advancing AI capabilities, leading teams, and ensuring ethical, scalable implementations. Responsibilities AI System Design and Development Architect and build autonomous AI systems that integrate with enterprise workflows, cloud platforms, and LLM frameworks. Develop APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Team Leadership and Mentorship Lead cross-functional teams of AI engineers, data scientists, and developers. Mentor junior staff in agentic AI principles, reinforcement learning, and ethical AI governance. Customization and Advancement Optimize autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Fine-tune LLMs, multi-agent frameworks, and feedback loops to align with business goals. Ethical AI Governance Monitor AI behavior, audit decision-making processes, and implement safeguards to ensure transparency, fairness, and compliance with regulatory standards. Innovation and Research Spearhead R&D initiatives to advance agentic AI capabilities. Experiment with emerging frameworks (e.g.,Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems. Documentation and Thought Leadership Publish technical white papers, case studies, and best practices for autonomous AI. Share insights at conferences and contribute to open-source AI communities. System Validation Oversee rigorous testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation. Validate alignment with ethical and performance benchmarks. Stakeholder Leadership Collaborate with executives, product teams, and compliance officers to align AI initiatives with strategic objectives. Advocate for AI-driven innovation across the organization. What Were Looking For : REQUIRED S/QUALIFICATIONS Technical Expertise : 8+ years as a Senior AI Engineer , ML Architect , or AI Solutions Lead , with 5+ years focused on autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js . Hands-on experience with autonomous AI tools LangChain, Autogen, CrewAI, or custom agentic frameworks. Proficiency in cloud platforms AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI. Experience with MLOps pipelines (e.g., Kubeflow, MLflow) and scalable deployment of AI agents. Leadership Proven track record of leading AI/ML teams, managing complex projects, and mentoring technical staff. Ethical AI Familiarity with AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and bias mitigation techniques. Communication Exceptional ability to translate technical AI concepts for non-technical stakeholders. Nice to have : Contributions to AI research (published papers, patents) or open-source AI projects (e.g., TensorFlow Agents, AutoGen). Experience with DevOps/MLOps toolsKubeflow, MLflow, Docker, or Terraform. Expertise in NLP, computer vision, or graph-based AI systems. Familiarity with quantum computing or neuromorphic architectures for AI. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Date 11 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains. Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience. Well look to you for: Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts Implementing feature selection/extraction methods to improve ML models and derive interpretable insights Building and optimizing machine learning models, including supervised and unsupervised approaches Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics Collaborating with domain experts to define and meet business requirements Creating reports and explanatory materials to communicate insights effectively Evaluating opportunities from emerging mathematical approaches and data science technologies Applying strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines Excellent knowledge of Python programming Understanding of modern statistics, including time-series and signal processing, text mining, or image processing Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow) Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning) Experience in building and optimizing supervised and unsupervised ML models Experience with database management (SQL, ElasticSearch, etc.) Proficiency in a LINUX environment (shell scripting) [OptionalExperience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining] [OptionalFamiliarity with Git and release management] Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with cutting-edge technologies to revolutionize digital mobility Collaborate with cross-functional teams and supportive colleagues Contribute to innovative projects in the mobility domain Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning programs Progress towards leadership or technical expert roles Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 10 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your deep learning and AI expertise in a new cutting-edge field. Youll work alongside innovative, analytical, and collaborative teammates. You'll spearhead the development and deployment of advanced generative AI models, impacting the way we approach transport solutions. Day-to-day, youll work closely with teams across the business (data scientists, software engineers, project managers), architecting scalable machine learning solutions and much more. Youll specifically take care of leading research initiatives, optimizing AI model efficiency but also fostering a culture of continuous improvement and innovation. Well look to you for: 7-10 years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Amlgo Labs is Hiring | 2 Exciting Roles Available! Location: Gurugram (Hybrid) | Job Type: Full-Time Company Website: https://amlgolabs.com/ Position 1: Junior AI Engineer (Fresher LLMs & Generative AI Focus) Experience: 01 Year | Department: Artificial Intelligence / R&D About the Role: Join our cutting-edge AI team working on Large Language Models (LLMs), Generative AI, and automation solutions. Ideal for recent graduates passionate about machine learning, natural language processing, and prompt engineering. Key Responsibilities: Work with LLMs (e.g., OpenAI, Hugging Face) for development, fine-tuning, and integration Design effective prompts to optimize model performance Assist in deploying generative AI applications (text/code/image) Build Python-based AI/ML pipelines and evaluate models Collaborate with data teams for dataset management and preprocessing Monitor model behavior in production environments Document experiments, results, and technical workflows Required Qualifications: Bachelors in CS, Engineering, Data Science, or related field 01 year experience in AI/ML or relevant project work Proficiency in Python and libraries (NumPy, pandas, scikit-learn, matplotlib) Basic ML understanding and exposure to LLMs (GPT, LLaMA, etc.) Familiarity with Hugging Face, OpenAI API is a plus Awareness of ETL/data engineering practices Position 2: Full Stack Developer Experience: 0-1 Year | Department: Software Development About the Role: We are seeking a driven Full Stack Developer to build robust, scalable, and user-friendly web applications. You will work on both frontend and backend development, ensuring seamless performance from code to deployment. Key Responsibilities: Develop dynamic UIs using React.js, Next.js, TypeScript, Tailwind CSS, HTML/CSS Create backend services and RESTful APIs with Node.js and Python Work with MongoDB for NoSQL database management Manage deployments using Docker, VPS, Linux, and Nginx Collaborate cross-functionally to build high-quality solutions Conduct code reviews and continuously improve development practices Debug across various environments and optimize application performance Required Skills: Solid knowledge of JavaScript and TypeScript Experience in React.js, Next.js, Tailwind CSS, HTML, CSS Hands-on experience with Node.js and Python backend Familiarity with MongoDB and cloud/server deployments Understanding of RESTful API principles and modern dev tools Strong analytical and debugging skills About Us: Amlgo Labs is building the next generation of AI-driven solutions, with a focus on Large Language Models (LLMs), Generative AI, and intelligent automation. We're seeking curious and motivated individuals who want to work at the cutting edge of AI.