1513 Deep Learning Jobs - Page 32

About the job: As an AI Associate at Intellisoft, you will have the opportunity to work on cutting-edge technologies in the field of artificial intelligence. If you are passionate about Python, data structures, machine learning, data science, neural networks, natural language processing (NLP), and deep learning, this role is perfect for you. Key responsibilities: 1. Develop and implement AI models to solve complex business problems. 2. Collaborate with cross-functional teams to gather and analyze data for model building. 3. Optimize and fine-tune existing AI models for improved performance. 4. Stay updated on the latest trends and advancements in AI to contribute innovative ideas. 5. Build and deploy scalable AI solutions in real-world applications. 6. Conduct research and experiments to enhance AI algorithms and techniques. 7. Provide technical guidance and mentorship to junior team members. If you are a self-motivated individual with a strong background in AI and a desire to make a significant impact, we encourage you to apply and join our dynamic team at Intellisoft. Who can apply: Only those candidates can apply who: Salary: ₹ 3,00,000 /year Experience: 0 year(s) Deadline: 2025-07-09 23:59:59 Other perks: Informal dress code, Free snacks & beverages, Cab/Transportation facility, Health Insurance, Life Insurance Skills required: Python, Data Structures, Machine Learning, Data Science, Neural Networks, Natural Language Processing (NLP), Deep Learning and Artificial intelligence About Company: Intellisoft is a software development and marketing company dedicated to empowering businesses in today's ever-evolving digital landscape. Our mission is to transform organizations by offering a comprehensive suite of services designed to drive growth and enhance efficiency.

BULK HIRE – CORE PYTHON AND DATA SCIENCE ENGINEERS – HYDERABAD – HYBRID MODEL WELL KNOWN IT CLIENT– FOR THEIR USA PRODUCT DEV CLIENT LOCATION : Financial District, Nanakramguda ONLY HYD CANDIDATES 2 DAYS @ OFFICE, REST OF DAYS WFH PRIYA@AXYCUBE.IN Required Candidate profile PYTHON DEVELOPERS – MAX 16 LPA- 4+ YEARS EXPERIENCE – VERY GOOD IN NUMPY, PANDAS, NUMPY AND SQL DATA SCIENCE ENGINEERS – MAX 27 LPA– 4+ YEARS STRONG EXPERIENCE IN AI, ML, DL, PYTHON, PANDAS AND NUMPY

Job Description: We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs) . The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering , RAG pipelines , and memory architectures such as vector databases. Responsibilities: Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts . Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI , or Semantic Kernel . Develop and fine-tune generative AI models with Transformers , HuggingFace , OpenAI API , etc. Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone). Write high-performance Python code to support experimentation, model integration, and API interactions. Collaborate cross-functionally with product, design, and engineering teams in an agile development environment. Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance. Stay updated with the latest advancements in the AI/ML/GenAI space. Required Experience: 3 to 8 years of experience in AI/ML , with at least 1 year in Generative AI / LLM-based projects . Proven expertise in Python programming and related libraries for ML/GenAI. Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.). Solid understanding of prompt engineering , RAG , vector DBs , and agent-based systems . Cloud deployment experience (AWS, Azure, or GCP) is a must. Strong analytical and problem-solving skills.

We are Hiring Freshers, who are passionate to build their careers in Artificial Intelligence/Machine Learning/Data Science Eligibility : All PG & UG graduates can apply for interview AI/Machine Learning/Data Science - Freshers Bulk Hiring Required Candidate profile BCA /BSC/B.E/ B.tech / M.tech (IT/CS)/ MCA Freshers Artificial Intelligence/Machine Learning/Data Science - Freshers Bulk Hiring Contact HR : 8904348261 for interview

We are seeking AI/ML engineers to develop, deploy, and optimize advanced AI models. You'll work with cutting-edge tools like OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain to build scalable AI solutions. Job Description: Expertise in Large Language Models (LLMs) and experience with OpenAI API, Hugging Face Transformers, and other NLP frameworks. Proficiency in fine-tuning and deploying pre-trained models for various NLP tasks. Strong knowledge of LangChain for building and managing LLM pipelines. Experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) for efficient data retrieval and AI-driven search. Proficiency in embedding techniques for search, recommendations, and semantic similarity tasks. Solid understanding of Prompt Engineering to optimize model performance. Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience deploying ML models using ONNX for scalable and efficient inference. Hands-on experience in developing, optimizing, and maintaining AI/ML models in production environments. Ability to collaborate with cross-functional teams, staying updated on AI advancements to enhance solutions. Job Details: CTC: Best in the industry Role: Software Engineer Functional Area: Development Industry: IT/Software Services

Job Description : We are seeking a highly motivated and talented Machine Learning Engineer Intern to join our AI and Data Science team. This internship offers a unique opportunity to gain hands-on experience in cutting-edge machine learning techniques and work on real-world applications. The ideal candidate should be passionate about artificial intelligence, data science, and problem-solving using ML models. Key Responsibilities : Work with structured and unstructured datasets to clean, preprocess, and analyze data for model development. Research, implement, and optimize machine learning models for various business use cases. Develop and fine-tune predictive models using supervised and unsupervised learning techniques. Assist in integrating ML models into production environments, ensuring scalability and efficiency. Collaborate with cross-functional teams, including data engineers, software developers, and domain experts. Stay updated with the latest advancements in AI, machine learning, and deep learning. Document model performance, findings, and best practices for future reference. Eligibility Criteria & Skills : Currently pursuing or recently completed a Bachelors/Masters/Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Good understanding of data preprocessing, feature engineering, and model evaluation techniques. Knowledge of SQL and databases for data manipulation and extraction. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Basic understanding of cloud computing platforms (AWS, GCP, Azure) and MLOps practices is an advantage. Excellent problem-solving abilities and analytical thinking. Ability to work independently, take initiative, and collaborate effectively in a team environment. What We Offer : Hands-on exposure to real-world machine learning projects. Mentorship and guidance from industry experts. Opportunity for full-time employment based on performance. Competitive stipend and additional perks as per company policy. A flexible work schedule to encourage productivity and learning. Work Schedule : Day Shift Remote Work Opportunity If you are enthusiastic about AI and looking to build a career in machine learning, we invite you to apply and become a part of Ageit Endorse India Pvt. Ltd.s innovative team. Lets shape the future of AI together! How to Apply: Interested candidates are requested to send their updated CVs to: pratiksha.shelke@ageittech.com, janhavi.shende@ageittech.com, OR contact directly Pratiksha - 73879 23891, Janhavi - 72649 80235.

Role & responsibilities Mandatory Skill: Python, AI/ML, NLP Programming Languages: Python is particularly popular due to its extensive libraries for AI and machine learning .Proficiency in any languages such as Python, Java, R, C++, and JavaScript is essential. Machine Learning and Deep Learning: A strong foundation in machine learning algorithms (e.g., linear regression, decision trees) and deep learning techniques (e.g., neural networks) is crucial Natural Language Processing (NLP): Skills in NLP techniques like text classification, sentiment analysis, and language modeling are vital for developing chatbots and virtual assistants Data Analysis and Visualization: Ability to analyze and visualize data using tools like Pandas etc AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn . Work Location: Chennai/Hyderabad/Pune/Trivandrum/Bangalore Interested candidate share me your updated resume in recruiter.wtr26@walkingtree.in

Client : Accenture Level : Manager/ Senior Manager Project Role : AI / ML Architect 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 : AI/ML, NLP, LLM, GEN AI Experience : 12- 20 years Educational Qualification : 15 years full time education Summary: As an AI / ML Architect, 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.

As a Generative AI Engineer, you will be responsible for developing and implementing applications using large language models (LLMs). Your expertise in Python and LangChain will be essential in creating scalable, efficient, and innovative AI solutions. You will work closely with cross-functional teams to design, develop, and deploy state-of-the-art AI systems. Responsibilities: Develop and implement AI applications using large language models (LLMs) with Python and LangChain. Design, build, and optimize machine learning algorithms for generative AI applications. Collaborate with data scientists, software engineers, and product managers to create robust AI-driven applications. Conduct research to stay updated with the latest advancements in generative AI and LLMs. Analyze and preprocess large datasets to ensure high-quality input for model training. Evaluate and fine-tune models to achieve optimal performance and accuracy. Write clean, maintainable, and efficient code adhering to best practices. Participate in code reviews and provide constructive feedback to team members. Document technical specifications, processes, and model performance metrics. Required skills & Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and developing AI models. Strong expertise in LangChain and its applications in generative AI. Solid understanding of large language models (LLMs) and their implementation. Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with natural language processing (NLP) techniques and tools. Ability to work with large datasets and perform data preprocessing and analysis.

fleetx.io is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail

Design, develop, and implement GenAI models using Python and deep learning frameworks. Perform data analysis using SQL and other data analysis tools. Collaborate with cross-functional teams to define, design, and ship new features. Implement and execute tests to ensure the functionality of the GenAI models. Identify, document, and correct defects and add new features. Collaborate with the development team to define, design, and ship new features. Perform continuous integration and continuous delivery. Collaborate with the QA team to ensure the functionality and reliability of the GenAI models.

">Machine Learning 2-6 Years Bengaluru ML Deep learning Must have : Strong on programming languages like Python , Java O ne cloud hands-on experience ( GCP preferred) Experience working with Dockers Environments managing ( e.g venv , pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow , Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Good to have: Hyperparameter tuning experience. Proficient in either Apache Spark or Apache Beam or Apache Flink Should have hands-on experience on Distributed computing Should have working experience on Data Architecture design Should be aware of storage and compute options and when to choose what Should have good understanding on Cluster Optimisation/ Pipeline Optimisation strategies Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources). Should have Business mindset to understand data and how it will be used for BI and Analytics purposes. Should have working experience on CI/CD pipelines, Deployment methodologies, Infrastructure as a code ( eg. Terraform) Good to have, Hands-on experience on Kubernetes Good to have Vector based Database like Qdrant Good to have: LLM experience (embeddings generation, embeddings indexing, RAG, Agents, etc.). Experience in Working with GCP tools like : Storage : CloudSQL , Cloud Storage, Cloud Bigtable, Bigquery , Cloud Spanner, Cloud DataStore , Vector database Ingest : Pub/Sub, Cloud Functions, AppEngine , Kubernetes Engine, Kafka, Micro services Schedule : Cloud Composer , Airflow Processing: Cloud Dataproc , Cloud Dataflow, Apache Spark, Apache Flink CI/ CD : Bitbucket+Jenkinjs / Gitlab , Infrastructre as a tool : Terraform

Key Responsibilities Design, develop, and deploy ML models and AI solutions across various domains such as NLP, computer vision, recommendation systems, time-series forecasting, etc. Perform data preprocessing, feature engineering, and model training using frameworks like TensorFlow, PyTorch, Scikit-learn, or similar. Collaborate with cross-functional teams to understand business problems and translate them into AI/ML solutions. Optimize models for performance, scalability, and reliability in production environments. Integrate ML pipelines with production systems using tools like MLflow, Airflow, Docker, or Kubernetes. Conduct rigorous model evaluation using metrics and validation techniques. Stay up-to-date with state-of-the-art AI/ML research and apply findings to enhance existing systems. Mentor junior engineers and contribute to best practices in ML engineering. Required Skills & Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. 4-8 years of hands-on experience in machine learning, deep learning, or applied AI. Proficiency in Python and ML libraries/frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost). Experience with data wrangling tools (Pandas, NumPy) and SQL/NoSQL databases. Familiarity with cloud platforms (AWS, GCP, or Azure) and ML tools (SageMaker, Vertex AI, etc.). Solid understanding of model deployment, monitoring, and CI/CD pipelines. Strong problem-solving skills and the ability to communicate technical concepts clearly.

">Data Scientist 2.5-6 Years Bengaluru data science NLP Role -Data /Applied scientist (Search/ Recommendation) Experience - 2.5 yrs to 6 years Location - Bangalore Strong in Python and experience with Jupyter notebooks , Python packages like polars, pandas, numpy , scikit-learn, matplotlib, etc. Must have: Experience with machine learning lifecycle , including data preparation , training , evaluation , and deployment Must have: Hands-on experience with GCP services for ML & data science Must have: Deep understanding of modern recommendation systems including two-tower , multi-tower , and cross-encoder architectures Must have: Hands-on experience with deep learning for recommender systems using TensorFlow , Keras , or PyTorch Must have: Experience generating and using text and image embeddings (e.g., CLIP , ViT , BERT , Sentence Transformers ) for content-based recommendations Must have: Experience with semantic similarity search and vector retrieval for matching user-item representations Must have: Proficiency in building embedding-based retrieval models , ANN search , and re-ranking strategies Must have: Experience with Vector Search and Hybrid Search techniques Must have: Experience with embeddings generation using models like BERT , Sentence Transformers , or custom models Must have: Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN , Annoy ) Must have: Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation) Must have: Understanding of semantic vs lexical search paradigms Must have: Experience with Learning to Rank (LTR) techniques and libraries (e.g., XGBoost , LightGBM with LTR support) Should be proficient in SQL and BigQuery for analytics and feature generation Should have experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Should have experience deploying models and services using Vertex AI , Cloud Run , or Cloud Functions Should be comfortable working with BM25 ranking (via Elasticsearch or OpenSearch ) and blending with vector-based approaches Good to have: Familiarity with Vertex AI Matching Engine for scalable vector retrieval Good to have: Familiarity with TensorFlow Hub , Hugging Face , or other model repositories Good to have: Experience with prompt engineering , context windowing , and embedding optimization for LLM-based systems Should understand how to build end-to-end ML pipelines for search and ranking applications Must have: Awareness of evaluation metrics for search relevance (e.g., precision@k , recall , nDCG , MRR ) Should have exposure to CI/CD pipelines and model versioning practices GCP Tools Experience: ML & AI : Vertex AI, Vertex AI Matching Engine, AutoML , AI Platform Storage : BigQuery , Cloud Storage, Firestore Ingestion : Pub/Sub, Cloud Functions, Cloud Run Search : Vector Databases (e.g., Matching Engine, Qdrant on GKE), Elasticsearch/OpenSearch Compute : Cloud Run, Cloud Functions, Vertex Pipelines , Cloud Dataproc (Spark/ PySpark ) CI/CD & IaC : GitLab/GitHub Actions

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 12+ 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.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Description Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. You will be a member of the Systems Engineering Team at Cadence with a focus on developing and optimizing solutions for a wide range of IP products. Neural networks are being developed and deployed in a wide range of markets, from IoT to surveillance to automotive. The computational, power, and memory requirements to process this data are continuously increasing, with new networks and new ways to approach deep learning every day. As a member of the Neo NPU compiler team, you would be responsible to design, develop solutions and optimize power, performance and area for scalable IP products for use in diverse fields. Members of the IP Systems Engineering Team are technical experts in their field. In this position, you will work with other development engineering teams as well as the customer support teams. You will also be involved in supporting customers with the programming, use and integration of these IP products into their systems. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique One Cadence - One Team culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other every day. Job responsibilities: BE / BTECH / ME / MTECH Equivalent Degree Bachelors/Masters degree in EE/EC/Computer Engineering with 2 to 5 years of work experience Excellent knowledge of computer architecture of embedded processors Proficient in programming with a good understanding of efficient implementation of high-performance algorithms and data structure design Must be familiar with writing, debugging and optimizing software on embedded processor and emulation platforms C/C++ programming, experience in writing drivers and low-level firmware programming Strong communication skills - written and oral are required Experience in working with geographically diverse and cross-functional teams Experience in working with customers and resolving customer issues Understanding of Neural Networks / Deep Learning in areas of vision, speech are a plus As part of the job requirements, some travel (up to 5% of time), including international travel may be required We re doing work that matters. Help us solve what others can t.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Description Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. You will be a member of the Systems Engineering Team at Cadence with a focus on developing and optimizing solutions for a wide range of IP products. Neural networks are being developed and deployed in a wide range of markets, from IoT to surveillance to automotive. The computational, power, and memory requirements to process this data are continuously increasing, with new networks and new ways to approach deep learning every day. As a member of the Neo NPU compiler team, you would be responsible to design, develop solutions and optimize power, performance and area for scalable IP products for use in diverse fields. Members of the IP Systems Engineering Team are technical experts in their field. In this position, you will work with other development engineering teams as well as the customer support teams. You will also be involved in supporting customers with the programming, use and integration of these IP products into their systems. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique One Cadence - One Team culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other every day. Job responsibilities: BE / BTECH / ME / MTECH Equivalent Degree Bachelors/Masters degree in EE/EC/Computer Engineering with 4 to 8 years of work experience Excellent knowledge of computer architecture of embedded processors Proficient in programming with a good understanding of efficient implementation of high-performance algorithms and data structure design Must be familiar with writing, debugging and optimizing software on embedded processor and emulation platforms C/C++ programming, experience in writing drivers and low-level firmware programming Strong communication skills - written and oral are required Experience in working with geographically diverse and cross-functional teams Experience in working with customers and resolving customer issues Understanding of Neural Networks / Deep Learning in areas of vision, speech are a plus As part of the job requirements, some travel (up to 5% of time), including international travel may be required We re doing work that matters. Help us solve what others can t.

ECMS ID 513251 Name of the Infosys PM and Employee No.* Vinodaran.d ECMS Request Number* Request Category (Opportunity/ Production) * (must be same as chosen in ECMS) Opportunity Number of openings 1 Job Title*Sr Data Scientist Work Location & Reporting Address* BANGALORE Vendor Rate* 9000 INR/Day Contract duration (in months)* 9 Months Skill Set/JD Required Skills and Experience: 8+ years of experience in data science or a related field. Experience with smart maintenance using Databricks and large language models (LLMs). Experience deploying models (ML or LLM) outside Cognite and consuming them through Cognite API. Understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering). Experience with deep learning and neural networks, particularly for LLMs. Expertise in natural language processing (NLP) techniques for text processing, sentiment analysis, and language generation. Experience working with models like GPT and BERT. Building conversational agents using LLMs and ML workflows. Techniques for model evaluation (e.g., cross-validation, A/B testing). Experience with JSON, REST APIs, and Data Modeling. Strong experience with Databricks integrate with Azure services such as Azure Data Lake and Azure Blob Storage. Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Experience with ETL processes. Ability to integrate data from different sources. Experience with Azure, AWS, or Google Cloud for data storage, processing, and deployment. Familiarity with continuous integration and continuous deployment processes for automating ML model and data pipeline deployment. BGV Check(post or pre-onboarding) Post Subcon Staffing end date: Dec ,2025 Niche Category (Niche/ Super Niche/Vanilla): Niche Client interview* (yes/No): Yes One person project* (yes/No) No Required Experience: >5 years Job Level JL5

Additional Locations: India-Maharashtra, Pune Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we ll give you the opportunity to harness all that s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we ll help you in advancing your skills and career. Here, you ll be supported in progressing - whatever your ambitions. About the Role: Data Scientist will work with a small team of data scientists developing and deploying Deep Learning models to interpret biologic signals on ambulatory patients to improve patient outcomes. The team has developed a large volume of diverse and accurate data for training and validation and works closely with experts in this domain. Key Responsibilities: Develop models and infrastructure to interpret biologic signals and other business data Validation and documentation of models for production deployment Support production deployment and monitoring of models Publishing research in support of business needs Developing and documenting intellectual property Lead/Support systems investigations and research activities to define and/or understand how systems interface with biological systems. Prepares standard reports/documentation to communicate status and results. Supports FDA/QSR requirements by assisting in the creation of specifications and qualifications. Influences and defines functional, departmental/divisional procedures through involvement with cross-functional engineering initiatives. Demonstrated cross function teamwork in a technically demanding environment Supports system risk management activities, Use/Design FMEA s, risk/hazard analysis. Mentors engineers in engineering activities/methodologies and domain knowledge. Qualification & Required Skills: Bachelor s degree in engineering or equivalent (BE, B Tech, MCA, MSc, M Tech) Minimum 10+ years of industry experience. Minimum 5+ years of experience in Analytics with 3+ years of experience in Python Demonstrated cross function teamwork in a technically demanding environment Experience in regulated product development environment, particularly for medical devices, a plus. Highly accountable and responsible. Self-starting, self-motivated, self-directed, and self-sufficient. Familiar with Agile development methodologies. Excellent Communication, presentation and interpersonal skills with proficiency in English (verbal and written). Preferred Qualifications: ECG / PPG device experience Experience with deep learning toolkits (Tensorflow, PyTorch, Keras, etc) Experience with Azure Cloud technologies (Azure Storage, Azure Service Bus, etc) Experience with containerization technologies (Kubernetes, Docker, Helm, etc) Demonstrated use of source control tools (Git) Experience with regulatory validation processes for software as a medical device Requisition ID: 607048 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn t just business, it s personal. And if you re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Additional Locations: India-Maharashtra, Pune Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we ll give you the opportunity to harness all that s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we ll help you in advancing your skills and career. Here, you ll be supported in progressing - whatever your ambitions. About the Role: Data Scientist will work with a small team of data scientists developing and deploying Deep Learning models to interpret biologic signals on ambulatory patients to improve patient outcomes. The team has developed a large volume of diverse and accurate data for training and validation and works closely with experts in this domain. Key Responsibilities: Develop models and infrastructure to interpret biologic signals and other business data Validation and documentation of models for production deployment Support production deployment and monitoring of models Publishing research in support of business needs Developing and documenting intellectual property Lead/Support systems investigations and research activities to define and/or understand how systems interface with biological systems. Prepares standard reports/documentation to communicate status and results. Supports FDA/QSR requirements by assisting in the creation of specifications and qualifications. Influences and defines functional, departmental/divisional procedures through involvement with cross-functional engineering initiatives. Demonstrated cross function teamwork in a technically demanding environment Supports system risk management activities, Use/Design FMEA s, risk/hazard analysis. Mentors engineers in engineering activities/methodologies and domain knowledge. Qualification & Required Skills: Bachelor s degree in engineering or equivalent (BE, B Tech, MCA, MSc, M Tech) Minimum 10+ years of industry experience. Minimum 5+ years of experience in Analytics with 3+ years of experience in Python Demonstrated cross function teamwork in a technically demanding environment Experience in regulated product development environment, particularly for medical devices, a plus. Highly accountable and responsible. Self-starting, self-motivated, self-directed, and self-sufficient. Familiar with Agile development methodologies. Excellent Communication, presentation and interpersonal skills with proficiency in English (verbal and written). Preferred Qualifications: ECG / PPG device experience Experience with deep learning toolkits (Tensorflow, PyTorch, Keras, etc) Experience with Azure Cloud technologies (Azure Storage, Azure Service Bus, etc) Experience with containerization technologies (Kubernetes, Docker, Helm, etc) Demonstrated use of source control tools (Git) Experience with regulatory validation processes for software as a medical device Requisition ID: 607048 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn t just business, it s personal. And if you re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Position: Data Scientist Trainer Generative AI and Machine Learning Job Location: Chennai/ Bangalore/Noida MODE OF HIRING- TP (THIRD PARTY PAYROLL) CANDIDATE SHOULD BE COMFORTABLE TO TRAVEL INTERNATIONAL/DOMESTIC We are seeking a highly skilled and experienced Data Science and Machine Learning specialist to join our team. The ideal candidate will have a total of 5 to 8 years of professional experience, with a minimum of 2 to 5 years of relevant experience in working with large language models and advanced generative AI algorithms. Responsibilities: 1. Design and implement state-of-the-art machine learning pipelines and processes for data collection, data preprocessing, feature extraction, model training, and model evaluation. 2. Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to identify and define project requirements and deliverables. 3. Conduct advanced statistical analysis and modeling to gain valuable insights from large-scale datasets and provide actionable recommendations to stakeholders. 4. Explore and experiment with novel approaches and techniques in the field of natural language processing (NLP) and machine learning to improve the performance and capabilities of our language models. 5. Stay up-to-date with the latest research and advancements in the field of NLP and AI, and integrate relevant findings into our research and development efforts. 6. Mentor and coach junior members of the team, fostering a culture of learning, knowledge sharing, and professional growth. 7. Assist in the development and implementation of best practices, coding standards, and quality assurance processes. Requirements: 1. Bachelor's or Master's degree in Computer Science, Data Science, or a related field. PhD preferred. 2. Strong expertise in machine learning, deep learning, and natural language processing, with a focus on large language models and generative AI. 3. Extensive hands-on experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Keras. 4. Proficiency in programming languages like Python, R, or Java for data manipulation, analysis, and model development. 5. Solid understanding of statistics, probability theory, and mathematical optimization. 6. Proven track record of successfully leading and managing data science and machine learning projects from conception to delivery. 7. Excellent problem-solving skills with the ability to think critically and analytically. 8. Strong written and verbal communication skills, with the ability to effectively present complex concepts and findings to both technical and non-technical stakeholders. If you are passionate about pushing the boundaries of language models and generative AI, and you have a strong background in data science and machine learning, we encourage you to apply. Join our team and contribute to advancing the state-of-the-art in AI!

About the Opportunity Job TypeApplication 21 June 2025 Title Senior Analyst- Data Scientist Department Data Value Location Gurgaon Reports To Suman Kaur Level 3 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About your team Data Value team drives the renewed focus of extracting value from Fidelitys data for business and client insights and working as one voice with the business, technology, and data teams. The teams vision is to create measurable business impact by leveraging technology and utilising the skills to generate valuable insights and streamline engagements. The Data Science function within Data Value supports Fidelity Internationals Sales, Marketing, Propositions, Risk, Finance, Customer Service and HR teams across the globe. The key objectives of the function are: To develop deep customer insights for our businesses helping them segment and target customers more effectively To develop a fact-based understanding of sales trends and identify actionable sales growth opportunities for each of our sales channels To understand customer preferences in terms of products, service attributes and marketing activity to help refine each of these To help develop new services lines e.g. develop customer analytics for key IFAs, DC Clients, Individual clients etc. To develop market and competitive intelligence in our key markets to help shape our business planning in those markets The function works directly with business heads and other senior stakeholders stakeholders to identify areas of analytics, define problem statements and develop key insights. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand Fidelitys sales, marketing, client services and propositions context Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data engineering, DevOps, technology team etc for development of new tools, capabilities, and solutions. Maximize Adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit . Stakeholder Management (30%) Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, and implementation of solutions Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations Takes complete independent ownership of the projects and the initiatives in the team with the minimal support Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 8+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus Experience with unstructured data and big data Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic Ability to develop, test and validate hypotheses. Feel rewarded For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

About the Opportunity Job TypeApplication 20 June 2025 Title Data Scientist, Risk Data Analytics Department Data Value Location Gurgaon Reports To Associate Director, Risk Data Analytics Level 5 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About Global Risk The Global Risk team in Fidelity covers the management oversight of Fidelitys risk profile, including key risk frameworks, policies and procedures and oversight and challenge processes. The team partner with the businesses to ensure Fidelity manages its risk profile within defined risk appetite. The team comprises risk specialists covering all facets of risk management, including investment, financial, non-financial and strategic risk. As part of a broader General Counsel team, the Risk team collaborates closely with Compliance, Legal, Tax and Corporate Sustainability colleagues. About Risk Data Analytics Hub The vision of Risk Data Analytics Hub is to establish a data-centric risk function that is forward-thinking, resilient, and proactive. The hubs mission is to enhance risk management processes and unlock innovative opportunities in the ever-changing risk and business landscape. The Hub has made significant strides in the Investment Risk, delivering prominent contributions such as the Fund Performance Monitoring, Fund Aggregate Exposures, Fund Market Risk, Fund Liquidity Risk, and other comprehensive monitoring and reporting dashboards. These tools have been crucial in supporting risk oversight and regulatory submissions. The Hubs goal is to scale this capability across global risk, using data-driven insights to uncover hidden patterns and predict emerging risks. This will enable decision-makers to prioritise actions that align with business objectives. The approach is to dismantle silos and foster collaboration across the global risk team, introducing new tools, techniques, and innovation themes to enhance agility. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand various subject areas in Global Risk Team including Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, Enterprise Resilience etc. Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data Lake, Data Engineering, DevOps/MLOps, Technology team etc for development of new tools, capabilities, and solutions. Maximize adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. Support delivered models and infrastructure on AWS including data changes and model tuning About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions. Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit. . Stakeholder Management (30%) Works with Risk SMEs/Managers, stakeholders and sponsors to understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, implementation and maintenance of solutions. Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/ machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations. Takes complete independent ownership of the projects and the initiatives in the team with the minimal support. Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 9+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus. Experience with unstructured data and big data. Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic. Ability to develop, test and validate hypotheses.

Responsibilities 1. Should have good experience in Python 2. Good knowledge in deep learning or Machine Language Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->Accord Technology->Machine Learning->Python Additional Responsibilities: Work Experience : 3 -6yrs Qualification: BE/B.Tech/ME/M.Tech/MCA/M.ScWork Notice Period: Immediate to 30days Educational Requirements Bachelor of Engineering Service Line Information Systems * Location of posting is subject to business requirements

QualificationBE or BTech/Mtech only Data science certification from any prestigious institutes. Exp Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication