93 Data Preprocessing Jobs

As a Backend + ML Engineer at our company, you will be responsible for building scalable APIs, managing secure patient data flow, and supporting AI model integration. Your role will involve collaborating with AI engineers, front-end developers, and field researchers to operationalize models for real-time use, particularly on edge devices. Your key responsibilities will include designing and developing robust backend systems to handle real-time patient data and ML outputs, integrating machine learning models with APIs and the main O-Health app, optimizing model serving pipelines, managing data pipelines for de-identified OPD datasets, implementing data encryption and anonymization, setting up backend support for multilingual voice and text processing, and supporting versioning and A/B testing of health algorithms. To excel in this role, you should have expertise in Backend Engineering, including strong proficiency in Python with frameworks like FastAPI, Flask, or Django, experience with RESTful APIs, WebSockets, and asynchronous data flows, familiarity with databases such as PostgreSQL, MongoDB, or time-series databases, and working knowledge of Docker, Git, and CI/CD pipelines. Additionally, you should possess skills in Machine Learning Ops, such as hands-on experience with PyTorch, Scikit-learn, or TensorFlow, model optimization, quantization, and edge deployment formats, familiarity with language models and multilingual NLP, and knowledge of data preprocessing and feature engineering for clinical/NLP tasks. Preferred skills for this role include an understanding of HIPAA/GDPR compliance and experience working on healthcare, social impact, or AI-for-good projects. In this position, you will have a significant impact on connecting machine learning research with field-ready healthcare tools, scaling diagnosis support systems to underserved patients, and enabling multilingual health consultations in real-time. Join us in making a difference in the healthcare industry and contributing to the improvement of patient care.,

As a Principal Generative AI (GenAI) Engineer at Velocity Clinical Research, you play a crucial role in developing and implementing advanced Generative AI solutions to drive innovation and create business value. Your responsibilities include designing, optimizing, and deploying cutting-edge AI models and techniques such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Working closely with cross-functional teams, you will integrate these technologies into products and services to ensure they meet performance and business requirements. Your deep understanding of AI and continuous awareness of the latest advancements will be vital in shaping the future of AI capabilities at Velocity. Your duties involve actively designing, developing, and deploying advanced Generative AI applications using techniques like prompt engineering and RAG. Collaborating with data scientists, ML engineers, and product teams, you will translate business requirements into scalable GenAI applications. You will experiment with new Generative AI techniques, evaluate models rigorously, and explore agentic frameworks to develop AI systems capable of autonomous decision-making. Staying updated with Generative AI research, you will optimize models for real-world deployment, integrate them into production environments, and contribute to best practices specific to Generative AI technologies. To excel in this role, you must possess a deep understanding of machine learning algorithms, neural networks, and natural language processing. Expertise in working with Generative AI models, prompt engineering, and RAG techniques is essential. Proficiency in programming languages like Python, TensorFlow, and PyTorch, as well as experience with data pre-processing, ethical considerations in AI model development, and software engineering skills are required. You should be able to build, deploy, and maintain scalable AI/ML pipelines, work with APIs and microservices architecture, and demonstrate strong problem-solving skills and a passion for innovation in AI. Ideally, you hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a Ph.D. preferred. With at least 8 years of software engineering experience, including 4+ years focused on AI/ML, and a background in Generative AI technologies, you should also have experience with LLMs like GPT and BERT. Effective communication skills, mentorship abilities, and a proven track record of developing production-level AI/ML solutions are essential for success in this role. Please note that this Job Description provides a general overview of the position's function and is not an exhaustive list of specific tasks. Job duties are subject to change based on Company and departmental needs. All employees are expected to perform their duties to the best of their abilities and as requested by management.,

Job Description As a Generative AI Engineer at Endorize, you will play a crucial role in revolutionizing primary healthcare through cutting-edge AI technology and a patient-first approach. Your primary responsibility will involve developing, deploying, and optimizing AI models specifically tailored for healthcare applications. This full-time hybrid role based in Chennai offers some work-from-home flexibility, providing you with the opportunity to make a significant impact in the field of healthcare technology. Your daily tasks will revolve around coding, debugging, data preprocessing, model training, and evaluating AI performance. With your expertise in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn, you will collaborate with cross-functional teams to seamlessly integrate AI solutions into Endorize's innovative products and services. Your strong programming skills in languages such as Python, Java, or similar, coupled with your proficiency in natural language processing (NLP) and computer vision, will be essential in driving the success of our healthcare solutions. To excel in this role, you should possess a solid foundation in data preprocessing, model training, and evaluation techniques. Your ability to work collaboratively within a team, coupled with effective communication skills, will be crucial in ensuring the successful implementation of AI technologies at Endorize. While knowledge of healthcare industry standards and practices is advantageous, a Bachelors or Masters degree in Computer Science, Engineering, or a related field is required to be considered for this position. Join us at Endorize, where we are redefining healthcare by merging technology with compassionate care. Be part of a team that is dedicated to making healthcare more accessible, engaging, and personalized for all individuals. Let's shape the future of healthcare together, where technology meets care.,

You are an experienced Senior Quantitative Analyst (Model Developer/Validator) with extensive expertise in credit risk modeling, particularly focusing on Internal Credit Risk Rating modeling. Your role involves leading the development and validation of advanced credit risk models, including PD, EAD, LGD, with a special emphasis on Expert judgment-based PD models for Corporate, Specialized Lending, and Financial Institutions. Your responsibilities include conducting thorough data preparation and preprocessing using tools such as SAS, Python, R, and SQL. Collaborating with various stakeholders to analyze, interpret, and communicate complex model results and insights is crucial. You are expected to develop detailed technical documentation for regulatory compliance, test plans, validation reports, findings reports, and Business Requirements Documents (BRD) where applicable. Continuous improvement of models is key, which involves identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance and predictive accuracy. Additionally, you will provide mentorship and technical guidance to junior team members to foster a culture of knowledge sharing and professional development. To qualify for this role, you need to have 5-10 years of hands-on experience in credit risk model development and validation, along with proven expertise in modeling across retail and wholesale credit portfolios. Advanced proficiency in SAS, Python, R, and SQL is essential, as well as a deep understanding of IFRS9 and CECL regulatory frameworks and guidance. Excellent analytical and problem-solving skills are required, complemented by strong written and verbal communication abilities. Preferred qualifications include an advanced degree in Statistics, Mathematics, Economics, or a related field, professional certifications in risk management or financial modeling, experience with IRB modeling, machine learning, and advanced statistical modeling techniques, as well as knowledge of Basel regulatory guidance. Your technical skills should encompass model development (PD, LGD, EAD, Qualitative PD Models), programming (SAS, Python, R, SQL), regulatory knowledge (IRB, IFRS9, CECL), statistical modeling, data preprocessing, and machine learning techniques.,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

As an ML Engineer, you will play a crucial role in developing and implementing various Machine Learning models that contribute to the growth of the company. Your primary focus will be on creating ML workflows tailored for the legal industry to enhance the efficiencies of in-house teams at Draft n Craft. This position offers you the opportunity to enhance your ML/Data Engineering skills while actively participating in the creation of valuable products. Your responsibilities will include developing data ingestion and preprocessing pipelines to extract actionable insights from legal data, ensuring accurate and consistent data cleaning for ML models, and experimenting with different ML models and architectures suitable for the legal industry. You will also be responsible for deploying ML models in production environments, analyzing model performance metrics, and improving model efficiencies. Additionally, you will document data preprocessing steps, model development processes, and optimization techniques. Collaboration with software engineers within the company will be essential, requiring an understanding of software development terminologies. Integration of ML models into existing software solutions and employee workflows will also be part of your role. The ideal candidate holds a degree in Computer Science Engineering, Data Science, or related fields. A minimum of 2 years of experience as an ML Engineer or Data Scientist is required, along with strong programming skills in Python and familiarity with libraries such as Tensorflow, PyTorch, and Pandas. Proficiency in SQL/NoSQL for database querying, working with data extraction and ETL pipelines, and experience in NLP, Neural Networks, and Gen AI technologies are essential. Familiarity with transfer learning on LLM models and deploying ML models to cloud services like AWS/Azure is preferred. Some experience in software development will be advantageous. This is a full-time position with a preferred total work experience of 6 years. The work location is in person.,

You should possess a Degree or Diploma in computer science with Management along with 5+ years of relevant experience in the field. As a Data Analyst/BI Developer, you should have proven experience of at least 5 years, preferably in a large-scale organization or within the logistics industry. To excel in this role, you must have a strong technical skill set which includes: - Analyzing data using various BI tools such as Power BI for a minimum of 5 years - Proficiency in at least one scientific visualization tool like Power BI to create Dashboards and Reports based on user requirements - Designing visually appealing Dashboards to monitor key performance indicators within the organization - Expertise in data preprocessing, data modeling, data visualization, and administrative activities using Power BI - Profound knowledge in analyzing complex data sets to provide valuable insights to the business - Ability to develop outputs that monitor KPI values using DAX - Sound understanding of Database Concepts and proficient in writing SQL Queries - Capable of developing Data Models to identify potential opportunities and risks within the datasets - Skilled in interpreting data, analyzing results using statistical techniques, and presenting ongoing trends or patterns through reports - Having experience in Machine Learning/Python would be considered an added advantage for this role.,

As a skilled AI/ML Engineer, your primary responsibility will be to develop and train AI/ML models to enhance the functionalities of virtual humans, focusing on emotion detection, facial recognition, and speech synthesis. Your role will involve working on data preprocessing to ensure that datasets are clean, labeled accurately, and optimized for effective model training. Collaboration with senior engineers will be essential to implement and optimize deep learning models using frameworks such as TensorFlow, Keras, or PyTorch. Furthermore, you will play a key role in assisting in the deployment of AI models, guaranteeing their optimal performance in real-time applications. Your expertise will be required to conduct model evaluation and tuning, aiming to enhance accuracy, performance, and efficiency. Additionally, you will have the opportunity to contribute to research and innovation in AI applications for digital humans, exploring cutting-edge techniques in machine learning and AI. Join a company dedicated to creating hyper-realistic virtual influencers that elevate marketing returns for both brands and individuals. Be a part of an exciting journey with Kshan, India's first virtual influencer who can engage with people on various platforms like Instagram. Follow Kshan's lifestyle and witness the future of virtual interactions.,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

The Senior AI Engineer - Agentic AI position at JMD Megapolis, Gurugram requires a minimum of 5+ years of experience in Machine Learning engineering, Data Science, or similar roles focusing on applied data science and entity resolution. You will be expected to have a strong background in machine learning, data mining, and statistical analysis for model development, validation, implementation, and product integration. Proficiency in programming languages like Python or Scala, along with experience in working with data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn is essential. Additionally, experience with large-scale data processing frameworks like Spark, proficiency in SQL and database concepts, as well as a solid understanding of feature engineering, dimensionality reduction, and data preprocessing techniques are required. As a Senior AI Engineer, you should possess excellent problem-solving skills and the ability to devise creative solutions to complex data challenges. Strong communication skills are crucial for effective collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science are desirable traits for this role. The ideal candidate for this position would hold a Masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field. They should have 5-10 years of industry experience in developing AI solutions, including machine learning and deep learning models. Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn are necessary. Furthermore, a solid understanding of machine learning algorithms, statistical analysis, data preprocessing techniques, and experience in working with large datasets to implement scalable AI solutions are required. Proficiency in data visualization and reporting tools, knowledge of cloud platforms like AWS, Azure, Google Cloud for AI deployment, familiarity with software development practices, and version control systems are all valued skills. Problem-solving abilities, creative thinking to overcome challenges, strong communication, and teamwork skills to collaborate effectively with cross-functional teams are essential for success in this role.,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration What We're Looking For: Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - Candidates with 8+ years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

You should have a Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. Additionally, you should possess 1-3 years of experience applying machine learning techniques to solve complex data problems. It is important to have a strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. Experience with data preprocessing, feature engineering, and data visualization techniques is required. Proficiency in Python programming and experience working with big data tools such as Spark are essential for this role. Your role will require excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and attention to detail are also crucial. You should have experience with agile development methodologies and version control tools such as Git. Preferred qualifications for this position include experience working with natural language processing (NLP) techniques, familiarity with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of cloud computing platforms such as AWS, GCP, or Azure. If you meet these requirements and possess the desired qualifications, we encourage you to apply for this position.,

Company Description At Smart Tech, we develop AI-driven solutions to tackle the world&aposs most pressing data and AI challenges. We invite the brightest minds to collaborate and build real-world solutions aimed at improving the lives of millions and creating a better, more sustainable world. Role Description This is a remote role for an AI Engineering Intern. The intern will be responsible for assisting in the development and implementation of AI algorithms, conducting data analysis, writing and testing code, and collaborating with team members on various projects. They will also participate in brainstorming sessions and contribute to problem-solving efforts. Qualifications Proficiency in programming languages such as Python, Java, and C++ Experience with generative AI, Deep Learning and Machine Learning and frameworks like TensorFlow or PyTorch Strong data analysis and statistical skills Ability to work with large datasets and perform data preprocessing Good communication skills and ability to collaborate in a remote team environment Strong Knowledge of AI concepts and principles Enthusiasm for learning and applying new technologies Currently pursuing a Master&aposs degree in Computer Science, Data Science, AI Engineering, or a related field Show more Show less

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). You will build intelligent systems that understand natural language queries and automate complex workflows. Additionally, you will integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. You will also prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaboration with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features is a key aspect of this role. Furthermore, you will work on prompt engineering, few-shot learning, and tool use orchestration. Key Responsibilities: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration. Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - 4-8 years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens - A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,

As an AWS Architect, you will be responsible for owning the architectural design, development, delivery, and maintenance of AI-based solutions. Your primary role will involve leading a team to build innovative solutions on the AWS platform. To excel in this position, you must have hands-on experience in AWS architectural development and a strong understanding of various AWS services such as Analytics, Big data, Databases, Security, Containerization, Application deployment, and CI/CD. Additionally, you should possess basic knowledge of Data analysis and Machine Learning, including data preprocessing, cleaning, modeling, and deployment experience. Requirements engineering and problem-solving skills are essential for this role, along with an AWS Solutions Architect certification. Good communication and presentation skills in English are necessary to effectively interact with stakeholders. A continuous learning attitude is crucial in keeping up with the latest technologies and trends in the field. Experience in automotive data analysis and working with international clients would be beneficial for this position. If you meet these requirements and are passionate about designing cutting-edge solutions on the AWS platform, we encourage you to apply for this exciting opportunity.,

Offshore Software Solutions is looking for a Data Scientist with 3-5 years of experience in analyzing health data from devices like smartwatches and fitness trackers. The role involves developing custom machine learning models using TensorFlow to derive actionable insights for improving health monitoring and user well-being. Your responsibilities will include analyzing health data from wearables, developing and deploying machine learning models, collaborating with cross-functional teams, preprocessing data, ensuring privacy standards compliance, optimizing models for accuracy, and presenting findings to stakeholders. Additionally, you will stay updated on the latest machine learning research related to health data from wearable devices. Requirements for this role include a Bachelor's or Masters degree in Data Science or related field, 3+ years of data analysis experience, expertise in TensorFlow, knowledge of deep learning and neural networks, proficiency in Python and data science libraries, familiarity with health data metrics, experience with data visualization tools and databases, and strong problem-solving skills. Preferred qualifications include working with wearable device APIs, understanding time-series analysis and anomaly detection, experience in edge computing, and good communication skills for effective collaboration. If you are passionate about leveraging data science to improve health monitoring and user well-being, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity at Offshore Software Solutions in Mohali, Punjab.,

The Lead Data Scientist position within the J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team offers a unique opportunity to be at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. As a key member of the team, you will be responsible for leveraging advanced analytics, AI, and Machine learning technologies, including Large Language Models (LLMs), to transform how compliance, conduct, and operational risks are managed across the organization. Your primary responsibilities will include designing, deploying, and managing AI/ML models using advanced techniques such as LLMs and Agentic AI for developing compliance and risk management solutions. You will collaborate with cross-functional teams to identify requirements, conduct research on AI techniques, and effectively communicate technical concepts to both technical and non-technical stakeholders. Additionally, you will play a crucial role in analyzing and interpreting data to evaluate model performance and identify areas for improvement. To excel in this role, you are required to have a Master's degree in a quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics, etc. from a top-tier university. You should have at least 12+ years of experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Proficiency in programming languages like Python, experience with frameworks like PyTorch or TensorFlow, and a solid understanding of machine learning concepts, including transformers and language modeling, are essential. Strong problem-solving skills, excellent communication abilities, and familiarity with data structures and algorithms for effective problem-solving in machine learning workflows are also required for this role. Join our CCOR Data Science team and be part of a leading analytics community where you will have opportunities for skill development and career growth in AI, machine learning, and data science.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. As a Data Analyst at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to assist clients in solving complex business problems. Candidates with 4+ years of hands-on experience are preferred for the role of GenAI Data Scientist at PwC US - Acceleration Center. The Senior Associate level position requires a highly skilled individual with a strong background in data science, particularly focusing on GenAI technologies. The ideal candidate should possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities include collaborating with product, engineering, and domain experts to identify high-impact GenAI opportunities, designing and building GenAI and Agentic AI solutions end-to-end, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings and insights, and staying current with GenAI advancements. Requirements for this position include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, 1-2 years of hands-on experience delivering GenAI solutions, proficiency in Python with additional experience in R or Scala, experience with vector stores and search technologies, expertise in data preprocessing, feature engineering, and statistical experimentation, competence with cloud services across Azure, AWS, or Google Cloud, proficiency in data visualization, and strong problem-solving skills. Nice to have skills include relevant certifications in GenAI tools and technologies, hands-on experience with leading agent orchestration platforms, proven experience in chatbot design and development, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages such as Java, C++, or C#. Candidates with a background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA or any related degree are encouraged to apply for this challenging role at PwC US - Acceleration Center.,

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. Your primary responsibility in this role is to effectively manage and analyze large volumes of data, aiming to extract valuable insights. You should possess exceptional analytical skills and the ability to manipulate and interpret complex datasets using various technologies, including programming languages. Additionally, you should be able to build strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. Key Requirements: - **Data Analysis:** Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. - **Data Validation, Cleaning and Preprocessing:** Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity. - **Data Visualization:** Present findings clearly through charts, graphs, and visualizations. Enable users to understand and interpret data effectively through visual representations. - **Ad-hoc Data Analysis:** Conduct ad-hoc data analysis to provide actionable recommendations. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. - **Collaboration:** Work closely with cross-functional teams, including business analysts, data engineers, and data scientists. Understand their requirements and provide data-driven solutions, fostering effective teamwork and communication. - **Storytelling:** Generate insights from data and communicate them to key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on processes, products, or business. - **Documentation:** Develop and maintain documentation related to data analysis processes. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. - **Continuous Improvement:** Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, aligning with industry best practices. Essential Requirements: - Strong analytical skills with the ability to manipulate and interpret large datasets, knowledge of statistical techniques and data mining algorithms. - Proficiency in programming languages (e.g., Python) and strong SQL with an aptitude for learning other analytics tools. - Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. - Effective communication skills to present findings to both technical and non-technical stakeholders. Desirable Requirements: - 5+ years of extensive experience in Data and/or Business Analytics, candidates with a background in Financial Data Analytics will be an added advantage. - Bachelor's or Master's degree in a relevant field such as mathematics, statistics, economics, or computer science. - Strong written and verbal communication skills. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally.,

As an AI/ML Mentor at Engineer Sahab Education in Indore, you will play a crucial role in guiding and mentoring students to help them establish a solid understanding of Artificial Intelligence and Machine Learning. Your responsibilities will include conducting engaging sessions on various AI/ML concepts, assisting students in developing capstone projects, offering personalized mentorship, staying updated with the latest trends, and collaborating with the academic team to enhance learning outcomes. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field, along with 1-3 years of experience in AI/ML development or teaching. Proficiency in Python and machine learning libraries like Scikit-learn, TensorFlow, Keras, Pandas, and NumPy is essential. Strong communication skills, a passion for mentoring, and experience in building and deploying ML models will be advantageous. At Engineer Sahab Education, you will work in a collaborative and student-centric environment, impacting the careers of future tech professionals. You will have access to continuous learning resources and upskilling opportunities, along with a competitive salary and room for growth. If you are enthusiastic about AI/ML and enjoy sharing knowledge, we encourage you to apply and be a part of our mission to shape the next generation of AI/ML professionals.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

Responsibilities : Conduct feature engineering , data analysis , and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance . Design and implement Deep Learning models , including Artificial Neural Networks (ANN) , Convolutional Neural Networks (CNN) , and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness . Deploy models in production environments and ensure continuous monitoring , improvement , and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals . Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. Bring in the latest advancements in ML and AI to drive innovation . Required Skills : 4-5 years of hands-on experience in Machine Learning and Deep Learning . Strong expertise in feature engineering , data exploration , and data preprocessing . Experience with imbalanced datasets and techniques to improve model generalization . Proficiency in Python , TensorFlow , Scikit-learn , and other ML frameworks . Strong mathematical and statistical knowledge with problem-solving skills. Ability to optimize models for high accuracy and performance in real-world scenarios . Preferred Skills : Experience with Big Data technologies (e.g., Hadoop , Spark ). Familiarity with containerization and orchestration tools (e.g., Docker , Kubernetes ). Experience in automating ML pipelines with MLOps practices . Experience in model deployment using cloud platforms ( AWS , GCP , Azure ) or MLOps tools .

As an AI/ML Lead specializing in Facial Recognition & Video Intelligence at Live Eye Surveillance, your primary responsibility will be to drive the development of advanced features for our AI-powered Video Management Software (VMS) platform. You will play a crucial role in leading the research, creation, and optimization of AI models that enhance real-time monitoring and security operations using IP camera feeds. Additionally, you will oversee a team of AI/ML engineers, collaborating with cross-functional teams to ensure the seamless integration of cutting-edge AI modules into our surveillance technology. Your contributions will directly impact the efficiency, accuracy, and scalability of our security solutions across various business environments. To excel in this role, you should possess at least 3 years of practical experience in Machine Learning and Deep Learning, with a focus on Computer Vision. Proficiency in Python, TensorFlow/PyTorch, OpenCV, and other relevant deep learning libraries is essential for creating robust models for facial recognition and object detection. Your expertise in optimizing AI pipelines for real-time performance and compatibility with edge devices will be critical for ensuring the effectiveness of our surveillance systems. Furthermore, your ability to lead, mentor, and inspire a team of AI/ML engineers, combined with strong communication and problem-solving skills, will be key assets in driving the success of our AI initiatives. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience with optimization tools such as ONNX, TensorRT, and familiarity with integrating AI models with IP camera feeds using RTSP/ONVIF protocols will be advantageous. Keeping abreast of the latest advancements in deep learning and computer vision research is essential to stay ahead in this rapidly evolving field. Additionally, any background in surveillance systems, familiarity with cloud platforms like AWS, Azure, or GCP, and experience with deploying ML models using Docker, Git, and CI/CD pipelines would be beneficial. Joining Live Eye Surveillance offers a unique opportunity to lead in a dynamic environment and contribute to the development of innovative security technologies. You will have the chance to work on groundbreaking projects, collaborate with talented teams, and make a tangible impact on global security deployments. At Live Eye, we offer a competitive compensation package, a flexible hybrid work setup, and the potential for rapid career growth. If you are passionate about leveraging AI and ML to enhance security solutions, we invite you to send your resume to careers@myliveeye.com and explore the exciting opportunities available at www.myliveeye.com.,

As a seasoned Data Analyst with over 10 years of experience, you will play a crucial role in the development and implementation of data analytics strategies, frameworks, and methodologies that are in line with the goals and objectives of the organization. Your primary responsibility will be to drive the identification and exploration of data-driven opportunities to optimize business performance, enhance operational efficiency, and achieve strategic objectives. You will collaborate closely with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Additionally, you will design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Your expertise in data analysis, statistical modeling, and machine learning techniques will be instrumental in addressing complex business problems and supporting strategic decision-making. Furthermore, you will be tasked with developing and maintaining data governance frameworks, data quality standards, and data management practices to ensure the accuracy, integrity, and consistency of data assets. In this role, you will lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. It will be essential for you to stay updated with emerging trends, technologies, and best practices in data analytics and provide recommendations for their adoption to enhance analytical capabilities. Mentoring and coaching junior analysts to foster their professional growth and supporting their development of advanced analytical skills will also be part of your responsibilities. You will collaborate closely with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Presenting complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner will be crucial. Moreover, you will play a key role in fostering a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Requirements: - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Master's or Ph.D. degree is strongly preferred. - 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. - Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. - Expert proficiency in SQL for data extraction, manipulation, and analysis. - Advanced programming skills in Python/R for statistical analysis, predictive modeling, and machine learning. - In-depth knowledge of statistical analysis techniques, predictive modeling, and advanced machine learning algorithms. - Strong experience with data visualization tools such as Tableau, Power BI, or similar. - Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. - Solid understanding of database structures, data warehousing concepts, and data governance principles. - Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. - Excellent leadership, strategic thinking, and stakeholder management abilities. - Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. - Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications: - Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. - Knowledge of big data technologies such as Hadoop, Spark, or similar. - Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. - Experience in leading and managing cross-functional teams.,

As a Senior Analyst - Data Analytics, you will leverage your 3+ years of experience in Data Analytics and reporting to design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Your strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R will be instrumental in performing advanced data analysis and visualization to support business decision-making. You will utilize your experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue to develop and maintain data pipelines and queries using SQL and Python. Applying data science techniques such as predictive modeling, classification, clustering, and regression, you will solve business problems and uncover actionable insights. Your hands-on experience in building and deploying machine learning models will be crucial in building, validating, and tuning machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Collaborating with stakeholders, you will translate business questions into data science problems and communicate findings in a clear, actionable manner. You will use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Documenting data science workflows and maintaining the reproducibility of experiments and models will ensure the success of analytics projects. Additionally, you will support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), SnowPro Core Certification (Snowflake), Microsoft Certified: Azure Data Engineer Associate, and AWS Certified: Data Analytics Specialty are preferred or in progress to enhance your expertise in the field.,